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Sud M, Sivaswamy A, Austin PC, Abdel-Qadir H, Anderson TJ, Khera R, Naimark DMJ, Lee DS, Roifman I, Thanassoulis G, Tu K, Wijeysundera HC, Ko DT. Validation of the European SCORE2 models in a Canadian primary care cohort. Eur J Prev Cardiol 2024; 31:668-676. [PMID: 37946603 PMCID: PMC11025037 DOI: 10.1093/eurjpc/zwad352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/13/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
AIMS Systematic Coronary Risk Evaluation Model 2 (SCORE2) was recently developed to predict atherosclerotic cardiovascular disease (ASCVD) in Europe. Whether these models could be used outside of Europe is not known. The objective of this study was to test the validity of SCORE2 in a large Canadian cohort. METHODS AND RESULTS A primary care cohort of persons with routinely collected electronic medical record data from 1 January 2010 to 31 December 2014, in Ontario, Canada, was used for validation. The SCORE2 models for younger persons (YP) were applied to 57 409 individuals aged 40-69 while the models for older persons (OPs) were applied to 9885 individuals 70-89 years of age. Five-year ASCVD predictions from both the uncalibrated and low-risk region recalibrated SCORE2 models were evaluated. The C-statistic for SCORE2-YP was 0.74 in women and 0.69 in men. The uncalibrated SCORE2-YP overestimated risk by 17% in women and underestimated by 2% in men. In contrast, the low-risk region recalibrated model demonstrated worse calibration, overestimating risk by 100% in women and 36% in men. The C-statistic for SCORE2-OP was 0.64 and 0.62 in older women and men, respectively. The uncalibrated SCORE2-OP overestimated risk by more than 100% in both sexes. The low-risk region recalibrated model demonstrated improved calibration but still overestimated risk by 60% in women and 13% in men. CONCLUSION The performance of SCORE2 to predict ASCVD risk in Canada varied by age group and depended on whether regional calibration was applied. This underscores the necessity for validation assessment of SCORE2 prior to implementation in new jurisdictions.
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Affiliation(s)
- Maneesh Sud
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, M4N 3M5, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
| | | | - Peter C Austin
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
| | - Husam Abdel-Qadir
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
- Women’s College Hospital, University of Toronto, 76 Grenville St, Toronto, M5S 1B2, Canada
| | - Todd J Anderson
- Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, 3310 Hospital Drive NW, Calgary, T2N 4N1, Canada
- Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, T2N 4N1, Canada
| | - Rohan Khera
- Section of Cardiovascular Medicine, Departmentof Internal Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06510, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Health Hospital, 20 York St, New Haven, CT 06510, USA
- Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, 60 College St, New Haven, CT 06510, USA
| | - David M J Naimark
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
| | - Douglas S Lee
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
- Peter Munk Cardiac Centre, University Health Network, University of Toronto, 585 University Ave, Toronto, M5G 2N2, Canada
- Ted Rogers Centre for Heart Research, University of Toronto, Toronto, 661 University Ave, Toronto, M5G 1M1, Canada
| | - Idan Roifman
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, M4N 3M5, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
| | - George Thanassoulis
- Department of Medicine, McGill University, 3605 Rue de la Montagne, Montréal, H3G 2M1, Canada
- Preventive and Genomic Cardiology, McGill University Health Centre, 1001 boul. Décarie, Montréal, H4A 3J1, Canada
| | - Karen Tu
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- Toronto Western Family Health Team, North York General Hospital, University Health Network, University of Toronto, 440 Bathurst Street, Toronto, M5T 2S6, Canada
- Department of Family and Community Medicine, University of Toronto, 500 University Ave, Toronto, M5G 1V7, Canada
| | - Harindra C Wijeysundera
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, M4N 3M5, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
| | - Dennis T Ko
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, M4N 3M5, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, 155 College St, Toronto, M5T 3M6, Canada
- ICES, 2075 Bayview Ave, D-410, Toronto, M4N 3M5, Canada
- Department of Medicine, University of Toronto, 27 King's College Circle, Toronto, M5S 1A1, Canada
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Yu AYX, Austin PC, Jackevicius CA, Chu A, Holodinsky JK, Hill MD, Kamal N, Kumar M, Lee DS, Vyas MV, Joundi RA, Khan NA, Kapral MK, McNaughton CD. Population Trends of New Prescriptions for Antihyperglycemics and Antihypertensives Between 2014 and 2022. J Am Heart Assoc 2024; 13:e034118. [PMID: 38563374 DOI: 10.1161/jaha.123.034118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND In the wake of pandemic-related health decline and health care disruptions, there are concerns that previous gains for cardiovascular risk factors may have stalled or reversed. Population-level excess burden of drug-treated diabetes and hypertension during the pandemic compared with baseline is not well characterized. We evaluated the change in incident prescription claims for antihyperglycemics and antihypertensives before versus during the pandemic. METHODS AND RESULTS In this retrospective, serial, cross-sectional, population-based study, we used interrupted time series analyses to examine changes in the age- and sex-standardized monthly rate of incident prescriptions for antihyperglycemics and antihypertensives in patients aged ≥66 years in Ontario, Canada, before the pandemic (April 2014 to March 2020) compared with during the pandemic (July 2020 to November 2022). Incident claim was defined as the first prescription filled for any medication in these classes. The characteristics of patients with incident prescriptions of antihyperglycemics (n=151 888) or antihypertensives (n=368 123) before the pandemic were comparable with their pandemic counterparts (antihyperglycemics, n=97 015; antihypertensives, n=146 524). Before the pandemic, monthly rates of incident prescriptions were decreasing (-0.03 per 10 000 individuals [95% CI, -0.04 to -0.01] for antihyperglycemics; -0.14 [95% CI, -0.18 to -0.10] for antihypertensives). After July 2020, monthly rates increased (postinterruption trend 0.31 per 10 000 individuals [95% CI, 0.28-0.34] for antihyperglycemics; 0.19 [95% CI, 0.14-0.23] for antihypertensives). CONCLUSIONS Population-level increases in new antihyperglycemic and antihypertensive prescriptions during the pandemic reversed prepandemic declines and were sustained for >2 years. Our findings are concerning for current and future cardiovascular health.
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Affiliation(s)
- Amy Y X Yu
- Department of Medicine (Neurology) University of Toronto, Sunnybrook Health Sciences Centre Toronto ON Canada
- ICES Toronto ON Canada
| | - Peter C Austin
- ICES Toronto ON Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto ON Canada
| | - Cynthia A Jackevicius
- ICES Toronto ON Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto ON Canada
- College of Pharmacy, Western University of Health Sciences Pomona CA
| | | | - Jessalyn K Holodinsky
- Department of Clinical Neurosciences and Hotchkiss Brain Institute University of Calgary AB Canada
- Department of Emergency Medicine University of Calgary AB Canada
- Community Health Sciences University of Calgary AB Canada
| | - Michael D Hill
- Department of Clinical Neurosciences and Hotchkiss Brain Institute University of Calgary AB Canada
- Community Health Sciences University of Calgary AB Canada
| | - Noreen Kamal
- Department of Industrial Engineering Dalhousie University Halifax NS Canada
- Department of Community Health and Epidemiology, Department of Medicine (Neurology) Dalhousie University Halifax NS Canada
| | - Mukesh Kumar
- Department of Industrial Engineering Dalhousie University Halifax NS Canada
| | - Douglas S Lee
- ICES Toronto ON Canada
- Department of Medicine (Cardiology) University of Toronto, University Health Network Toronto ON Canada
| | - Manav V Vyas
- ICES Toronto ON Canada
- Department of Medicine (Neurology) Unity Health Toronto, University of Toronto ON Canada
| | - Raed A Joundi
- Department of Medicine McMaster University Hamilton ON Canada
| | - Nadia A Khan
- Department of Medicine University of British Columbia Vancouver BC Canada
| | - Moira K Kapral
- ICES Toronto ON Canada
- Department of Medicine (General Internal Medicine) University of Toronto, University Health Network Toronto ON Canada
| | - Candace D McNaughton
- ICES Toronto ON Canada
- Department of Medicine (Emergency Medicine) University of Toronto, Sunnybrook Health Sciences Centre Toronto ON Canada
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3
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Miranda RN, Qiu F, Manoragavan R, Austin PC, Naimark DMJ, Fremes SE, Ko DT, Madan M, Mamas MA, Sud MK, Tam D, Wijeysundera HC. Transcatheter Aortic Valve Implantation Wait-Time Management: Derivation and Validation of the Canadian TAVI Triage Tool (CAN3T). J Am Heart Assoc 2024; 13:e033768. [PMID: 38390797 PMCID: PMC10944064 DOI: 10.1161/jaha.123.033768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND Transcatheter aortic valve implantation (TAVI) has seen indication expansion and thus exponential growth in demand over the past decade. In many jurisdictions, the growing demand has outpaced capacity, increasing wait times and preprocedural adverse events. In this study, we derived prediction models that estimate the risk of adverse events on the waitlist and developed a triage tool to identify patients who should be prioritized for TAVI. METHODS AND RESULTS We included adult patients in Ontario, Canada referred for TAVI and followed up until one of the following events first occurred: death, TAVI procedure, removal from waitlist, or end of the observation period. We used subdistribution hazards models to find significant predictors for each of the following outcomes: (1) all-cause death while on the waitlist; (2) all-cause hospitalization while on the waitlist; (3) receipt of urgent TAVI; and (4) a composite outcome. The median predicted risk at 12 weeks was chosen as a threshold for a maximum acceptable risk while on the waitlist and incorporated in the triage tool to recommend individualized wait times. Of 13 128 patients, 586 died while on the waitlist, and 4343 had at least 1 hospitalization. A total of 6854 TAVIs were completed, of which 1135 were urgent procedures. We were able to create parsimonious models for each outcome that included clinically relevant predictors. CONCLUSIONS The Canadian TAVI Triage Tool (CAN3T) is a triage tool to assist clinicians in the prioritization of patients who should have timely access to TAVI. We anticipate that the CAN3T will be a valuable tool as it may improve equity in access to care, reduce preventable adverse events, and improve system efficiency.
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Affiliation(s)
- Rafael N. Miranda
- Institute of Health Policy, Management and EvaluationUniversity of TorontoCanada
| | | | - Ragavie Manoragavan
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
| | - Peter C. Austin
- Institute of Health Policy, Management and EvaluationUniversity of TorontoCanada
- ICESTorontoCanada
| | - David M. J. Naimark
- Institute of Health Policy, Management and EvaluationUniversity of TorontoCanada
- Temerty Faculty of MedicineUniversity of TorontoCanada
| | - Stephen E. Fremes
- Institute of Health Policy, Management and EvaluationUniversity of TorontoCanada
- ICESTorontoCanada
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
- Temerty Faculty of MedicineUniversity of TorontoCanada
| | - Dennis T. Ko
- ICESTorontoCanada
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
- Temerty Faculty of MedicineUniversity of TorontoCanada
| | - Mina Madan
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
| | - Mamas A. Mamas
- Keele Cardiovascular Research Group, School of MedicineKeele UniversityStoke‐on‐TrentUnited Kingdom
| | - Maneesh K. Sud
- ICESTorontoCanada
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
- Temerty Faculty of MedicineUniversity of TorontoCanada
| | - Derrick Tam
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
| | - Harindra C. Wijeysundera
- Institute of Health Policy, Management and EvaluationUniversity of TorontoCanada
- ICESTorontoCanada
- Schulich Heart Program, Sunnybrook Health Sciences CentreUniversity of TorontoCanada
- Temerty Faculty of MedicineUniversity of TorontoCanada
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Roifman I, Chu A, Austin PC, Rashid M, Douglas PS, Wijeysundera HC. Comparing Costs of Noninvasive Cardiac Diagnostic Tests-a Population-Based Study. J Am Soc Echocardiogr 2024; 37:288-299. [PMID: 37972792 DOI: 10.1016/j.echo.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 11/05/2023] [Accepted: 11/06/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION Noninvasive cardiac diagnostic tests (NITs) for the diagnosis of coronary artery disease have been estimated to cost >$3 billion annually in the United States alone and have recently undergone scrutiny over concerns of overuse. Consequently, comparing costs of different NIT testing strategies is of urgent importance to health care planning. METHODS We utilized population-based administrative and clinical data from Ontario, Canada, to compare downstream costs between 4 available NIT testing strategies (graded exercise stress testing [GXT], stress echocardiography, cardiac computed tomography angiography [CCTA], and myocardial perfusion imaging [MPI] as well as no testing), among patients evaluated for chest pain. To compare costs among the tested (overall and by testing strategy) and nontested groups, we used a log-gamma generalized linear model to account for the skewed distribution of health care cost data, adjusting for relevant clinical covariates. RESULTS A total of 2,340,699 patients were included in our cohort, of whom 481,170 (21%) patients received 1 of the 4 NITs. Among patients who received a NIT, 254,492 (53%) received a GXT as their initial test, 154,137 (32%) received MPI, 69,160 (14%) received a stress echo, and 3,381 (<1%) received a CCTA. After adjustment for differences in baseline patient characteristics, receipt of any NIT was associated with an approximate 12% reduction in downstream 1-year mean costs (cost ratio = 0.88; 95% CI, 0.87, 0.89) compared with those without any testing. Comparing the different testing strategies with no testing, both GXT (cost ratio = 0.80; 95% CI, 0.79-0.81) and stress echocardiography (cost ratio = 0.82; 95% CI, 0.81-0.83) were associated with the lower downstream costs, while both MPI (cost ratio = 1.26; 95% CI, 1.25, 1.27) and CCTA (cost ratio = 1.29; 95% CI, 1.23, 1.35) were associated with higher downstream costs. CONCLUSIONS In a large population-based cohort consisting of >2 million people evaluated for chest pain, we report that receipt of noninvasive testing was associated with a 12% reduction in downstream costs when compared with no testing. Graded exercise stress testing and stress echocardiography were associated with the least downstream costs, whereas CCTA and MPI were associated with higher costs when compared with no testing. These findings may help inform testing decisions in chest pain patients.
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Affiliation(s)
- Idan Roifman
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada.
| | | | - Peter C Austin
- Institute of Health Policy Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | | | - Pamela S Douglas
- Duke University Medical Centre, Duke University, Durham, North Carolina
| | - Harindra C Wijeysundera
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada
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5
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Vyas MV, Redditt V, Mohamed S, Abraha M, Sheth J, Shah BR, Ko DT, Ke C. Determinants, Prevention, and Incidence of Cardiovascular Disease Among Immigrant and Refugee Populations. Can J Cardiol 2024:S0828-282X(24)00175-2. [PMID: 38387721 DOI: 10.1016/j.cjca.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 02/15/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024] Open
Abstract
Immigration policies shape the composition, socioeconomic characteristics, and health of migrant populations. The health of migrants is also influenced by a confluence of social, economic, environmental, and political factors. Immigrants and refugees often face various barriers to accessing health care because of factors such as lack of familiarity with navigating the health care system, language barriers, systemic racism, and gaps in health insurance. Social determinants of health and access to primary care health services likely influence the burden of cardiovascular risk factors among immigrants. The relatively low burden of many cardiovascular risk factors in many immigrant populations likely contributes to the generally lower incidence rates of acute myocardial infarction, heart failure, and stroke in immigrants compared with nonimmigrants, although cardiovascular disease incidence rates vary substantially by country of origin. The "healthy immigrant effect" is the hypothesis that immigrants to high-income countries, such as Canada, are healthier than nonimmigrants in the host population. However, this effect may not apply universally across all immigrants, including recent refugees, immigrants without formal education, and unmarried immigrants. As unfolding sociopolitical events generate new waves of global migration, policymakers and health care providers need to focus on addressing social and structural determinants of health to better manage cardiovascular risk factors and prevent cardiovascular disease, especially among the most marginalized immigrants and refugees.
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Affiliation(s)
- Manav V Vyas
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Division of Neurology, Li Ka Shing Knowledge Institute, St. Michael's Hospital-Unity Health, Toronto, Ontario, Canada
| | - Vanessa Redditt
- Crossroads Clinic, Women's College Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sebat Mohamed
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Mosana Abraha
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Javal Sheth
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Hospital, Toronto, Ontario, Canada
| | - Dennis T Ko
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Department of Medicine, Schulich Heart Centre, Sunnybrook Hospital, Toronto, Ontario, Canada
| | - Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Department of Medicine, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
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6
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Benipal H, Demers C, Cerasuolo JO, Perez R, You JJ, Amin F, Keshavjee K, Lee DS. Association of a Heart Failure Management Incentive in Primary Care With Clinical Outcomes: A Retrospective Cohort Study. J Am Heart Assoc 2024; 13:e031498. [PMID: 38156519 PMCID: PMC10863798 DOI: 10.1161/jaha.123.031498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND We aim to examine the association between primary care physicians' billing of Q050A, a pay-for-performance heart failure (HF) management incentive fee code, and the composite outcome of mortality, hospitalization, and emergency department visits. METHODS AND RESULTS This population-based cohort study linked administrative health databases in Ontario, Canada, for patients with HF aged >66 years between January 1, 2008, and March 31, 2020. Cases were patients with HF who had a Q050A fee code billed. Cases and controls were matched 1:1 on age, sex, patient status on being rostered to a primary care physician, cardiologist, or internist visit in the 6 months before study enrollment, Johns Hopkins Adjusted Clinical Group resource use bands, days between HF diagnosis and study enrollment (±2 years), and the logit of the propensity score. A Cox proportional hazards model assessed the association of Q050A with the outcome. A total of 59 664 cases had a Q050A billed, whereas 244 883 patients did not. Before matching, patients who had a Q050A billed were more likely to be men (52% versus 49%), were rostered to a primary care physician (100% versus 96%), had a higher Charlson Comorbidity Index, and had higher health care costs. The mean follow-up was 481 days for cases and 530 days for controls. The composite outcome (hazard ratio, 1.11 [95% CI, 1.09-1.12]) was significantly higher for cases than controls. CONCLUSIONS The Q050A incentive improved financial compensation for primary care physicians managing patients with HF but was not associated with improvements in the outcome. Research on promoting evidence-based HF management is warranted.
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Affiliation(s)
- Harsukh Benipal
- Temerty Faculty of MedicineUniversity of TorontoToronto, OntarioCanada
| | - Catherine Demers
- Department of MedicineMcMaster UniversityHamiltonOntarioCanada
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonOntarioCanada
| | - Joshua O. Cerasuolo
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonOntarioCanada
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
| | - Richard Perez
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
| | - John J. You
- Division of General Internal and Hospitalist MedicineCredit Valley Hospital, Trillium Health PartnersMississaugaOntarioCanada
| | - Faizan Amin
- Department of MedicineMcMaster UniversityHamiltonOntarioCanada
| | - Karim Keshavjee
- Institute of Health Policy, Management and EvaluationUniversity of TorontoToronto, OntarioCanada
- InfoClin IncTorontoOntarioCanada
| | - Douglas S. Lee
- Temerty Faculty of MedicineUniversity of TorontoToronto, OntarioCanada
- Institute of Clinical Evaluative SciencesTorontoOntarioCanada
- Institute of Health Policy, Management and EvaluationUniversity of TorontoToronto, OntarioCanada
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7
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Bobrowski D, Dorovenis A, Abdel-Qadir H, McNaughton CD, Alonzo R, Fang J, Austin PC, Udell JA, Jackevicius CA, Alter DA, Atzema CL, Bhatia RS, Booth GL, Ha ACT, Johnston S, Dhalla I, Kapral MK, Krumholz HM, Roifman I, Wijeysundera HC, Ko DT, Tu K, Ross HJ, Schull MJ, Lee DS. Association of neighbourhood-level material deprivation with adverse outcomes and processes of care among patients with heart failure in a single-payer healthcare system: A population-based cohort study. Eur J Heart Fail 2023; 25:2274-2286. [PMID: 37953731 DOI: 10.1002/ejhf.3090] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/10/2023] [Accepted: 11/07/2023] [Indexed: 11/14/2023] Open
Abstract
AIM We studied the association between neighbourhood material deprivation, a metric estimating inability to attain basic material needs, with outcomes and processes of care among incident heart failure patients in a universal healthcare system. METHODS AND RESULTS In a population-based retrospective study (2007-2019), we examined the association of material deprivation with 1-year all-cause mortality, cause-specific hospitalization, and 90-day processes of care. Using cause-specific hazards regression, we quantified the relative rate of events after multiple covariate adjustment, stratifying by age ≤65 or ≥66 years. Among 395 763 patients (median age 76 [interquartile range 66-84] years, 47% women), there was significant interaction between age and deprivation quintile for mortality/hospitalization outcomes (p ≤ 0.001). Younger residents (age ≤65 years) of the most versus least deprived neighbourhoods had higher hazards of all-cause death (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.10-1.29]) and cardiovascular hospitalization (HR 1.29 [95% CI 1.19-1.39]). Older individuals (≥66 years) in the most deprived neighbourhoods had significantly higher hazard of death (HR 1.11 [95% CI 1.08-1.14]) and cardiovascular hospitalization (HR 1.13 [95% CI 1.09-1.18]) compared to the least deprived. The magnitude of the association between deprivation and outcomes was amplified in the younger compared to the older age group. More deprived individuals in both age groups had a lower hazard of cardiology visits and advanced cardiac imaging (all p < 0.001), while the most deprived of younger ages were less likely to undergo implantable cardioverter-defibrillator/cardiac resynchronization therapy-pacemaker implantation (p = 0.023), compared to the least deprived. CONCLUSION Patients with newly-diagnosed heart failure residing in the most deprived neighbourhoods had worse outcomes and reduced access to care than those less deprived.
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Affiliation(s)
- David Bobrowski
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Husam Abdel-Qadir
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Women's College Hospital, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Candace D McNaughton
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Rea Alonzo
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
| | - Jiming Fang
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
| | - Peter C Austin
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Jacob A Udell
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Women's College Hospital, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Cynthia A Jackevicius
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Western University of Health Sciences, Pomona, CA, USA
| | - David A Alter
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Clare L Atzema
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - R Sacha Bhatia
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
| | - Gillian L Booth
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, ON, Canada
| | - Andrew C T Ha
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
| | - Sharon Johnston
- Departments of Family Medicine, University of Ottawa, Ottawa, ON, Canada
- Institut du Savoir, Hôpital Montfort, Ottawa, ON, Canada
| | - Irfan Dhalla
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute of St Michael's Hospital, Toronto, ON, Canada
| | - Moira K Kapral
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Harlan M Krumholz
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Idan Roifman
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Harindra C Wijeysundera
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Dennis T Ko
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Karen Tu
- University Health Network, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- North York General Hospital, Toronto, ON, Canada
| | - Heather J Ross
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
| | - Michael J Schull
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Douglas S Lee
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- University Health Network, Toronto, ON, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
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8
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Sud M, Sivaswamy A, Austin PC, Anderson TJ, Naimark DMJ, Farkouh ME, Lee DS, Roifman I, Thanassoulis G, Tu K, Udell JA, Wijeysundera HC, Ko DT. Development and Validation of the CANHEART Population-Based Laboratory Prediction Models for Atherosclerotic Cardiovascular Disease. Ann Intern Med 2023; 176:1638-1647. [PMID: 38079638 DOI: 10.7326/m23-1345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Prediction of atherosclerotic cardiovascular disease (ASCVD) in primary prevention assessments exclusively with laboratory results may facilitate automated risk reporting and improve uptake of preventive therapies. OBJECTIVE To develop and validate sex-specific prediction models for ASCVD using age and routine laboratory tests and compare their performance with that of the pooled cohort equations (PCEs). DESIGN Derivation and validation of the CANHEART (Cardiovascular Health in Ambulatory Care Research Team) Lab Models. SETTING Population-based cohort study in Ontario, Canada. PARTICIPANTS A derivation and internal validation cohort of adults aged 40 to 75 years without cardiovascular disease from April 2009 to December 2015; an external validation cohort of primary care patients from January 2010 to December 2014. MEASUREMENTS Age and laboratory predictors measured in the outpatient setting included serum total cholesterol, high-density lipoprotein cholesterol, triglycerides, hemoglobin, mean corpuscular volume, platelets, leukocytes, estimated glomerular filtration rate, and glucose. The ASCVD outcomes were defined as myocardial infarction, stroke, and death from ischemic heart or cerebrovascular disease within 5 years. RESULTS Sex-specific models were developed and internally validated in 2 160 497 women and 1 833 147 men. They were well calibrated, with relative differences less than 1% between mean predicted and observed risk for both sexes. The c-statistic was 0.77 in women and 0.71 in men. External validation in 31 697 primary care patients showed a relative difference less than 14% and an absolute difference less than 0.3 percentage points in mean predicted and observed risks for both sexes. The c-statistics for the laboratory models were 0.72 for both sexes and were not statistically significantly different from those for the PCEs in women (change in c-statistic, -0.01 [95% CI, -0.03 to 0.01]) or men (change in c-statistic, -0.01 [CI, -0.04 to 0.02]). LIMITATION Medication use was not available at the population level. CONCLUSION The CANHEART Lab Models predict ASCVD with similar accuracy to more complex models, such as the PCEs. PRIMARY FUNDING SOURCE Canadian Institutes of Health Research.
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Affiliation(s)
- Maneesh Sud
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto; Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; and Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (M.S., I.R., H.C.W., D.T.K.)
| | | | - Peter C Austin
- Institute of Health Policy, Management and Evaluation, University of Toronto, and ICES, Toronto, Ontario, Canada (P.C.A.)
| | - Todd J Anderson
- Libin Cardiovascular Institute and Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada (T.J.A.)
| | - David M J Naimark
- Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; and Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (D.M.J.N.)
| | - Michael E Farkouh
- Academic Affairs, Cedars-Sinai Health System, Los Angeles, California (M.E.F.)
| | - Douglas S Lee
- Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; Temerty Faculty of Medicine, University of Toronto; Peter Munk Cardiac Centre, University Health Network, University of Toronto; and Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada (D.S.L.)
| | - Idan Roifman
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto; Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; and Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (M.S., I.R., H.C.W., D.T.K.)
| | - George Thanassoulis
- Department of Medicine, McGill University, and Preventive and Genomic Cardiology, McGill University Health Centre, Montreal, Quebec, Canada (G.T.)
| | - Karen Tu
- Toronto Western Family Health Team, University Health Network, North York General Hospital, and Department of Family and Community Medicine, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada (K.T.)
| | - Jacob A Udell
- Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; Temerty Faculty of Medicine, University of Toronto; Peter Munk Cardiac Centre, University Health Network, University of Toronto; and Women's College Hospital, University of Toronto, Toronto, Ontario, Canada (J.A.U.)
| | - Harindra C Wijeysundera
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto; Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; and Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (M.S., I.R., H.C.W., D.T.K.)
| | - Dennis T Ko
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto; Institute of Health Policy, Management and Evaluation, University of Toronto; ICES; and Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada (M.S., I.R., H.C.W., D.T.K.)
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9
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Mussa J, Rahme E, Dahhou M, Nakhla M, Dasgupta K. Considering gestational diabetes and gestational hypertension history across two pregnancies in relationship to cardiovascular disease development: A retrospective cohort study. Diabetes Res Clin Pract 2023; 206:110998. [PMID: 37951478 DOI: 10.1016/j.diabres.2023.110998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/17/2023] [Accepted: 11/08/2023] [Indexed: 11/14/2023]
Abstract
AIMS Gestational diabetes (GDM) and hypertension (GHTN) occurrences signal elevated cardiovascular disease (CVD) risk. There is little study of occurrence and recurrence of these conditions in relationship to CVD. Among women with two singleton pregnancies, we aimed to quantify CVD risk in relationship to the number of GDM/GHTN occurrences. METHODS In this Quebec-based retrospective cohort study (n = 431,980), we ascertained the number of GDM/GHTN occurrences over two pregnancies and assessed for CVD over a median of 16.4 years (cohort inception 1990-2012, outcomes 1990-2019). We defined CVD as a composite of myocardial infarction, stroke, and angina, requiring hospitalization and/or causing death. We adjusted Cox proportional hazards models for offspring size, preterm/term birth status, maternal age group, time between deliveries, ethnicity, deprivation level, and co-morbid conditions. RESULTS Compared to absence of GDM/GHTN in either pregnancy, one GDM/GHTN occurrence increased CVD hazards by 47% (hazard ratio [HR] = 1.47, 95% confidence interval [CI] 1.35-1.61), two occurrences nearly doubled hazards (HR = 1.91, 95% CI 1.68-2.17), and three or more approximately tripled CVD hazards (HR = 2.93, 95% CI 2.20-3.90). Individual components of the composite demonstrated similar findings. CONCLUSIONS Health care providers and mothers should consider a complete history of GDM/GHTN occurrences to ascertain the importance and urgency of preventive action.
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Affiliation(s)
- Joseph Mussa
- Department of Medicine, McGill University, Montreal, Quebec, Canada; Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Elham Rahme
- Department of Medicine, McGill University, Montreal, Quebec, Canada; Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Mourad Dahhou
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada
| | - Meranda Nakhla
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada; Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Kaberi Dasgupta
- Department of Medicine, McGill University, Montreal, Quebec, Canada; Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Quebec, Canada.
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Maclagan LC, Croxford R, Chu A, Sin DD, Udell JA, Lee DS, Austin PC, Gershon AS. Quantifying COPD as a risk factor for cardiac disease in a primary prevention cohort. Eur Respir J 2023; 62:2202364. [PMID: 37385658 DOI: 10.1183/13993003.02364-2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
BACKGROUND Despite COPD being a risk factor for cardiovascular disease (CVD) and knowing that risk stratification for CVD primary prevention is important, little is known about the real-world risk of CVD among people with COPD with no history of CVD. This knowledge would inform CVD management for people with COPD. The current study aimed to examine the risk of major adverse cardiovascular events (MACE) (including acute myocardial infarction, stroke or cardiovascular death) in a large, complete real-world population with COPD without previous CVD. METHODS We conducted a retrospective population cohort study using health administrative, medication, laboratory, electronic medical record and other data from Ontario, Canada. People without a history of CVD with and without physician-diagnosed COPD were followed between 2008 and 2016, and cardiac risk factors and comorbidities compared. Sequential cause-specific hazard models adjusting for these factors determined the risk of MACE in people with COPD. RESULTS Among ∼5.8 million individuals in Ontario aged ≥40 years without CVD, 152 125 had COPD. After adjustment for cardiovascular risk factors, comorbidities and other variables, the rate of MACE was 25% higher in persons with COPD compared with those without COPD (hazard ratio 1.25, 95% CI 1.23-1.27). CONCLUSIONS In a large real-world population without CVD, people with physician-diagnosed COPD were 25% more likely to have a major CVD event, after adjustment for CVD risk and other factors. This rate is comparable to the rate in people with diabetes and calls for more aggressive CVD primary prevention in the COPD population.
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Affiliation(s)
| | | | | | - Don D Sin
- Centre for Heart Lung Innovation, St Paul's Hospital and Division of Respiratory Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Jacob A Udell
- ICES, Toronto, ON, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital and Women's College Research Institute, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Douglas S Lee
- ICES, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Peter C Austin
- ICES, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Andrea S Gershon
- ICES, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
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11
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Angriman F, Lawler PR, Shah BR, Martin CM, Scales DC. Prevalent diabetes and long-term cardiovascular outcomes in adult sepsis survivors: a population-based cohort study. Crit Care 2023; 27:302. [PMID: 37525272 PMCID: PMC10391991 DOI: 10.1186/s13054-023-04586-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 07/19/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Sepsis survivors are at elevated risk for cardiovascular disease during long-term follow-up. Whether diabetes influences cardiovascular risk after sepsis survival remains unknown. We sought to describe the association of diabetes with long-term cardiovascular outcomes in adult sepsis survivors. METHODS Population-based cohort study in the province of Ontario, Canada (2008-2017). Adult survivors of a first sepsis-associated hospitalization, without pre-existing cardiovascular disease, were included. Main exposure was pre-existing diabetes (any type). The primary outcome was the composite of myocardial infarction, stroke, and cardiovascular death. Patients were followed up to 5 years from discharge date until outcome occurrence or end of study period (March 2018). We used propensity score matching (i.e., 1:1 to patients with sepsis but no pre-existing diabetes) to adjust for measured confounding at baseline. Cause-specific Cox proportional hazards models with robust standard errors were used to estimate hazard ratios (HR) alongside 95% confidence intervals (CI). A main secondary analysis evaluated the modification of the association between sepsis and cardiovascular disease by pre-existing diabetes. RESULTS 78,638 patients with pre-existing diabetes who had a sepsis-associated hospitalization were matched to patients hospitalized for sepsis but without diabetes. Mean age of patients was 71 years, and 55% were female. Median duration from diabetes diagnosis was 9.8 years; mean HbA1c was 7.1%. Adult sepsis survivors with pre-existing diabetes experienced a higher hazard of major cardiovascular disease (HR 1.25; 95% CI 1.22-1.29)-including myocardial infarction (HR 1.40; 95% CI 1.34-1.47) and stroke (HR 1.24; 95% CI 1.18-1.29)-during long-term follow-up compared to sepsis survivors without diabetes. Pre-existing diabetes modified the association between sepsis and cardiovascular disease (risk difference: 2.3%; 95% CI 2.0-2.6 and risk difference: 1.8%; 95% CI 1.6-2.0 for the effect of sepsis-compared to no sepsis-among patients with and without diabetes, respectively). CONCLUSIONS Sepsis survivors with pre-existing diabetes experience a higher long-term hazard of major cardiovascular events when compared to sepsis survivors without diabetes. Compared to patients without sepsis, the absolute risk increase of cardiovascular events after sepsis is higher in patients with diabetes (i.e., diabetes intensified the higher cardiovascular risk induced by sepsis).
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Affiliation(s)
- Federico Angriman
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
| | - Patrick R Lawler
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- McGill University Health Centre, Montreal, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Baiju R Shah
- ICES, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Claudio M Martin
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Canada
- Lawson Health Research Institute, London, Canada
| | - Damon C Scales
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
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12
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Abdel-Qadir H, Carrasco R, Austin PC, Chen Y, Zhou L, Fang J, Su HM, Lega IC, Kaul P, Neilan TG, Thavendiranathan P. The Association of Sodium-Glucose Cotransporter 2 Inhibitors With Cardiovascular Outcomes in Anthracycline-Treated Patients With Cancer. JACC CardioOncol 2023; 5:318-328. [PMID: 37397088 PMCID: PMC10308059 DOI: 10.1016/j.jaccao.2023.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 07/04/2023] Open
Abstract
Background Sodium glucose cotransporter-2 inhibitors (SGLT2is) are hypothesized to reduce the risk of anthracycline-associated cardiotoxicity. Objectives This study sought to determine the association between SGLT2is and cardiovascular disease (CVD) after anthracycline-containing chemotherapy. Methods Using administrative data sets, we conducted a population-based cohort study of people >65 years of age with treated diabetes and no prior heart failure (HF) who received anthracyclines between January 1, 2016, and December 31, 2019. After estimating propensity scores for SGLT2i use, the average treatment effects for the treated weights were used to reduce baseline differences between SGLT2i-exposed and -unexposed controls. The outcomes were hospitalization for HF, incident HF diagnoses (in- or out-of-hospital), and documentation of any CVD in future hospitalizations. Death was treated as a competing risk. Cause-specific HRs for each outcome were determined for SGLT2i-treated people relative to unexposed controls. Results We studied 933 patients (median age 71.0 years, 62.2% female), 99 of whom were SGLT2i treated. During a median follow-up of 1.6 years, there were 31 hospitalizations for HF (0 in the SGLT2i group), 93 new HF diagnoses, and 74 hospitalizations with documented CVD. Relative to controls, SGLT2i exposure was associated with HR of 0 for HF hospitalization (P < 0.001) but no significant difference in incident HF diagnosis (HR: 0.55; 95% CI: 0.23-1.31; P = 0.18) or CVD diagnosis (HR: 0.39; 95% CI: 0.12-1.28; P = 0.12). There was no significant difference in mortality (HR: 0.63; 95% CI: 0.36-1.11; P = 0.11). Conclusions SGLT2is may reduce the rate of HF hospitalization after anthracycline-containing chemotherapy. This hypothesis warrants further testing in randomized controlled trials.
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Affiliation(s)
- Husam Abdel-Qadir
- Women’s College Hospital, Toronto, Ontario, Canada
- University Health Network, Toronto, Ontario, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Ted Rogers Program in Cardiotoxicity Prevention, University Health Network, Toronto, Ontario, Canada
| | - Rodrigo Carrasco
- Ted Rogers Program in Cardiotoxicity Prevention, University Health Network, Toronto, Ontario, Canada
| | - Peter C. Austin
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Limei Zhou
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Jiming Fang
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Henry M.H. Su
- Ted Rogers Program in Cardiotoxicity Prevention, University Health Network, Toronto, Ontario, Canada
| | - Iliana C. Lega
- Women’s College Hospital, Toronto, Ontario, Canada
- ICES (formerly known as the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Padma Kaul
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
- Canadian Virtual Coordinating Centre for Global Collaborative Cardiovascular Research Centre, University of Alberta, Edmonton, Alberta, Canada
| | | | - Paaladinesh Thavendiranathan
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Ted Rogers Program in Cardiotoxicity Prevention, University Health Network, Toronto, Ontario, Canada
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13
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Ozaki AF, Ko DT, Chong A, Fang J, Atzema CL, Austin PC, Stukel TA, Tu K, Udell JA, Naimark D, Booth GL, Jackevicius CA. Prescribing patterns and factors associated with sodium-glucose cotransporter-2 inhibitor prescribing in patients with diabetes mellitus and atherosclerotic cardiovascular disease. CMAJ Open 2023; 11:E494-E503. [PMID: 37311594 DOI: 10.9778/cmajo.20220039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND Sodium-glucose cotransporter-2 (SGLT2) inhibitors are cardioprotective agents in patients with type 2 diabetes mellitus and atherosclerotic cardiovascular disease (CVD). Since little is known about their uptake in atherosclerotic CVD, we examined SGLT2 inhibitor prescribing trends and identified potential disparities in prescribing patterns. METHODS We conducted an observational study using linked population-based health data in Ontario, Canada, from April 2016 to March 2020 of patients aged 65 years or older with concomitant type 2 diabetes and atherosclerotic CVD. To examine prevalent prescribing of SGLT2 inhibitors (canagliflozin, dapagliflozin and empagliflozin), we constructed 4 cross-sectional yearly cohorts from Apr. 1 to Mar. 31 (2016/17, 2017/18, 2018/19 and 2019/20). We estimated prevalent SGLT2 inhibitor prescribing by year and by subgroups, and identified factors associated with SGTL2 inhibitor prescribing using multivariable logistic regression. RESULTS There were 208 303 patients in our overall cohort (median age 74.0 yr [interquartile range 68.0-80.0 yr], 132 196 [63.5%] male). Although SGLT2 inhibitor prescribing increased over time, from 7.0% to 20.1%, statin prescribing was initially 10-fold higher and later threefold higher than SGLT2 inhibitor prescribing. In 2019/20, SGLT2 inhibitor prescribing was roughly 50% lower among those aged 75 years or older than among those younger than 75 years (12.9% v. 28.3%, p < 0.001) and in women than in men (15.3% v. 22.9%, p < 0.001). Age 75 years or older, female sex, history of heart failure and kidney disease, and low income were independent factors of lower SGLT2 inhibitor prescribing. Among physician specialists, visits to endocrinologists and family physicians were stronger factors of SGLT2 inhibitor prescribing than cardiologist visits. INTERPRETATION We found that 1 in 5 patients with diabetes and atherosclerotic CVD were prescribed SGLT2 inhibitors in 2019/20, whereas statins were prescribed for 4 of every 5 patients. Although SGLT2 inhibitor prescribing increased over the study period, disparities in adoption by age, sex, socioeconomic status, comorbidities and physician specialty remained.
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Affiliation(s)
- Aya F Ozaki
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Dennis T Ko
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Alice Chong
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Jiming Fang
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Clare L Atzema
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Peter C Austin
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Therese A Stukel
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Karen Tu
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Jacob A Udell
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - David Naimark
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Gillian L Booth
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif
| | - Cynthia A Jackevicius
- University of California, Irvine (Ozaki), Irvine, Calif.; ICES Central (Ko, Chong, Fang, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); University of Toronto (Ko, Atzema, Austin, Stukel, Tu, Udell, Naimark, Booth, Jackevicius); Sunnybrook Health Sciences Centre (Ko, Atzema, Naimark); University Health Network (Tu, Udell, Naimark); Women's College Hospital (Udell, Naimark); Unity Health Toronto (Booth), Toronto, Ont.; Western University of Health Sciences (Jackevicius), Pomona, Calif.; Veterans Affairs Greater Los Angeles Healthcare System (Jackevicius), Los Angeles, Calif.
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14
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Behrouzi B, Sivaswamy A, Chu A, Ferreira-Legere LE, Abdel-Qadir H, Atzema CL, Jackevicius C, Kapral MK, Wijeysundera HC, Farkouh ME, Ross HJ, Ha ACT, Tadrous M, Paterson M, Gershon AS, Džavík V, Fang J, Kaul P, van Diepen S, Goodman SG, Ezekowitz JA, Bainey KR, Ko DT, Austin PC, McAlister FA, Lee DS, Udell JA. Sex-Based Differences in Severe Outcomes, Including Cardiovascular Hospitalization, in Adults With COVID-19 in Ontario, Canada. JACC. ADVANCES 2023; 2:100307. [PMID: 37250382 PMCID: PMC10171238 DOI: 10.1016/j.jacadv.2023.100307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/30/2022] [Accepted: 02/08/2023] [Indexed: 05/31/2023]
Abstract
Background While men have experienced higher risks of SARS-CoV-2 infection compared to women, an analysis of sex differences by age in severe outcomes during the acute phase of infection is lacking. Objectives The purpose of this study was to assess heterogeneity in severe outcome risks by age and sex by conducting a retrospective cohort study of community-dwelling adults in Ontario who tested positive for SARS-CoV-2 infection during the first 3 waves. Methods Adjusted odds ratios were estimated using multilevel multivariable logistic regression models including an interaction term for age and sex. The primary outcome was a composite of severe outcomes (hospitalization for a cardiovascular (CV) event, intensive care unit admission, mechanical ventilation, or death) within 30 days. Results Among 30,736, 199,132, and 186,131 adults who tested positive during the first 3 waves, 1,908 (6.2%), 5,437 (2.7%), and 5,653 (3.0%) experienced a severe outcome within 30 days. For all outcomes, the sex-specific risk depended on age (all P for interaction <0.05). Men with SARS-CoV-2 infection experienced a higher risk of outcomes than infected women of the same age, except for the risk of all-cause hospitalization being higher for young women than men (ages 18-45 years) during waves 2 and 3. The sex disparity in CV hospitalization across all ages either persisted or increased with each subsequent wave. Conclusions To mitigate risks in subsequent waves, it is helpful to further understand the factors that contribute to the generally higher risks faced by men across all ages, and the persistent or increasing sex disparity in the risk of CV hospitalization.
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Affiliation(s)
- Bahar Behrouzi
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada
| | | | | | | | - Husam Abdel-Qadir
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Clare L Atzema
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Cynthia Jackevicius
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- College of Pharmacy, Western University of Health Sciences, Pomona, California, USA
| | - Moira K Kapral
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Harindra C Wijeysundera
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Michael E Farkouh
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
- Heart and Stroke Richard Lewar Centre, University of Toronto, Toronto, Canada
| | - Heather J Ross
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Andrew C T Ha
- Department of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Mina Tadrous
- ICES, Toronto, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
- Women's College Research Institute, Toronto, Canada
| | - Michael Paterson
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
| | - Andrea S Gershon
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Vladimír Džavík
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | | | - Padma Kaul
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
- Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Sean van Diepen
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
- Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Shaun G Goodman
- Department of Medicine, University of Toronto, Toronto, Canada
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Division of Cardiology, St. Michael's Hospital, Toronto, Canada
| | - Justin A Ezekowitz
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
- Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Kevin R Bainey
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
- Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Dennis T Ko
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Peter C Austin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
| | - Finlay A McAlister
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Canada
- Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Douglas S Lee
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Jacob A Udell
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
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15
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Dasgupta K, Mussa J, Brazeau AS, Dahhou M, Sanmartin C, Ross NA, Rahme E. Associations of free sugars from solid and liquid sources with cardiovascular disease: a retrospective cohort analysis. BMC Public Health 2023; 23:756. [PMID: 37095459 PMCID: PMC10124057 DOI: 10.1186/s12889-023-15600-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 04/04/2023] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND The World Health Organization recommends a 10% total energy (TE%) limit for free sugars (i.e., added sugars and naturally occurring sugars in fruit juice, honey, and syrups) based on evidence linking higher intakes with overweight and dental caries. Evidence for cardiovascular disease (CVD) is limited. Impacts may differ by sex, age group, and solid vs. liquid sources; liquids may stimulate more adverse CVD profiles (due to their rapid absorption in the body along along with triggering less satiety). We examined associations of consuming total free sugars ≥ 10 TE% with CVD within four sex and age-defined groups. Given roughly equal free sugar intakes from solid and liquid sources, we also evaluated source-specific associations of free sugars ≥ 5 TE% thresholds. METHODS In this retrospective cohort study, we estimated free sugars from 24-h dietary recall (Canadian Community Health Survey, 2004-2005) in relationship to nonfatal and fatal CVD (Discharge Abstract and Canadian Mortality Databases, 2004-2017; International Disease Classification-10 codes for ischemic heart disease and stroke) through multivariable Cox proportional hazards models adjusted for overweight/obesity, health behaviours, dietary factors, and food insecurity. We conducted analyses in separate models for men 55 to 75 years, women 55 to 75 years, men 35 to 55 years, and women 35 to 55 years. We dichotomized total free sugars at 10 TE% and source-specific free sugars at 5 TE%. RESULTS Men 55 to 75 years of age had 34% higher CVD hazards with intakes of free sugars from solid sources ≥ 5 TE% vs. below (adjusted HR 1.34, 95% CI 1.05- 1.70). The other three age and sex-specific groups did not demonstrate conclusive associations with CVD. CONCLUSIONS Our findings suggest that from a CVD prevention standpoint in men 55 to 75 years of age, there may be benefits from consuming less than 5 TE% as free sugars from solid sources.
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Affiliation(s)
- Kaberi Dasgupta
- Department of Medicine, McGill University, Montreal, QC, Canada.
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), 5252 Boul de Maisonneuve Ouest, Office 3E.09, Montreal, QC, H4A 3S5, Canada.
| | - Joseph Mussa
- Department of Medicine, McGill University, Montreal, QC, Canada
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), 5252 Boul de Maisonneuve Ouest, Office 3E.09, Montreal, QC, H4A 3S5, Canada
| | | | - Mourad Dahhou
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), 5252 Boul de Maisonneuve Ouest, Office 3E.09, Montreal, QC, H4A 3S5, Canada
| | | | - Nancy A Ross
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Elham Rahme
- Department of Medicine, McGill University, Montreal, QC, Canada
- Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Centre (RI-MUHC), 5252 Boul de Maisonneuve Ouest, Office 3E.09, Montreal, QC, H4A 3S5, Canada
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16
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Sun LY, Chu A, Tam DY, Wang X, Fang J, Austin PC, Feindel CM, Alexopoulos V, Tusevljak N, Rocha R, Ouzounian M, Woodward G, Lee DS. Derivation and validation of predictive indices for cardiac readmission after coronary and valvular surgery - A multicenter study. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2023; 28:100285. [PMID: 38511073 PMCID: PMC10946031 DOI: 10.1016/j.ahjo.2023.100285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 02/01/2023] [Accepted: 02/28/2023] [Indexed: 03/22/2024]
Abstract
Objective To derive and validate models to predict the risk of a cardiac readmission within one year after specific cardiac surgeries using information that is commonly available from hospital electronic medical records. Methods In this retrospective cohort study, we derived and externally validated clinical models to predict the likelihood of cardiac readmissions within one-year of isolated CABG, AVR, and combined CABG+AVR in Ontario, Canada, using multiple clinical registries and routinely collected administrative databases. For all adult patients who underwent these procedures, multiple Fine and Gray subdistribution hazard models were derived within a competing-risk framework using the cohort from April 2015 to March 2018 and validated in an independent cohort (April 2018 to March 2020). Results For the model that predicted post-CABG cardiac readmission, the c-statistic was 0.73 in the derivation cohort and 0.70 in the validation cohort at one-year. For the model that predicted post-AVR cardiac readmission, the c-statistic was 0.74 in the derivation and 0.73 in the validation cohort at one-year. For the model that predicted cardiac readmission following CABG+AVR, the c-statistic was 0.70 in the derivation and 0.66 in the validation cohort at one-year. Conclusions Prediction of one-year cardiac readmission for isolated CABG, AVR, and combined CABG+AVR can be achieved parsimoniously using multidimensional data sources. Model discrimination was better than existing models derived from single and multicenter registries.
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Affiliation(s)
- Louise Y. Sun
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- ICES, Toronto, Ontario, Canada
| | | | - Derrick Y. Tam
- ICES, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Peter C. Austin
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Christopher M. Feindel
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | | | | | | | - Maral Ouzounian
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | | | - Douglas S. Lee
- ICES, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - CorHealth Ontario Cardiac Surgery Risk Adjustment Task Force
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA
- ICES, Toronto, Ontario, Canada
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
- Ontario Health, Toronto, Ontario, Canada
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17
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Angriman F, Rosella LC, Lawler PR, Ko DT, Martin CM, Wunsch H, Scales DC. Risk Factors for Major Cardiovascular Events in Adult Sepsis Survivors: A Population-Based Cohort Study. Crit Care Med 2023; 51:471-483. [PMID: 36790198 DOI: 10.1097/ccm.0000000000005793] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
OBJECTIVES To describe risk factors for major cardiovascular events in adults following hospital discharge after sepsis. DESIGN Population-based cohort study. SETTING Ontario, Canada (2008-2017). PATIENTS Adult patients (age 18 yr or older) who survived a first sepsis hospitalization without preexisting cardiovascular disease. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS The primary composite outcome was myocardial infarction, stroke, or cardiovascular death up to 5 years following hospital discharge. We used cause-specific Cox proportional hazards models that accounted for the competing risk of noncardiovascular death to describe factors associated with major cardiovascular events. We identified 268,259 adult patients without cardiovascular disease (median age, 72 yr), of whom 10.4% experienced a major cardiovascular event during a median follow-up of 3 years. After multivariable adjustment, age (hazard ratio [HR], 1.53 for every 10 yr; 95% CI, 1.51-1.54), male sex (HR, 1.23; 95% CI, 1.20-1.26), diabetes mellitus (HR, 1.24; 95% CI, 1.21-1.27), hypertension (HR, 1.34; 95% CI, 1.30-1.38), prevalent atrial fibrillation (HR, 1.46; 95% CI, 1.40-1.52), and chronic kidney disease (HR, 1.11; 95% CI, 1.06-1.16) were associated with major cardiovascular events during long-term follow-up. Sepsis characteristics such as site of infection (pneumonia vs other: HR, 1.09; 95% CI, 1.05-1.12), septic shock (HR, 1.08; 95% CI, 1.05-1.11), and renal replacement therapy (HR, 1.51; 95% CI, 1.38-1.64) were also associated with subsequent cardiovascular events. In an analysis restricting to patients with troponin values measured during the hospitalization (26,400 patients), an elevated troponin was also associated with subsequent cardiovascular events (HR, 1.23; 95% CI, 1.13-1.33). CONCLUSIONS Classic cardiovascular risk factors, comorbid conditions, and characteristics of the sepsis episode were associated with a higher hazard of major cardiovascular events in adult sepsis survivors. These findings may inform enrichment strategies for future studies.
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Affiliation(s)
- Federico Angriman
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada
- Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Laura C Rosella
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada
- Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Patrick R Lawler
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
| | - Dennis T Ko
- ICES, Toronto, ON, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Claudio M Martin
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Hannah Wunsch
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Damon C Scales
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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18
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Abstract
Rationale: Adult sepsis survivors have an increased risk of experiencing long-term cardiovascular events. Objectives: To determine whether the cardiovascular risk after sepsis is mitigated by renin-angiotensin system inhibitors (RASi). Methods: We conducted a population-based cohort study of adult sepsis survivors designed to emulate a target randomized trial with an active comparator and new-user design. We excluded patients with a first-line indication for prescription of RASi (e.g., coronary heart disease, heart failure, chronic kidney disease, and hypertension with diabetes mellitus). The main exposure of interest was a new prescription of a RASi within 30 days of hospital discharge. The active comparator was a new prescription of either a calcium channel blocker or a thiazide diuretic, also within 30 days of hospital discharge. The primary outcome of interest was the composite of myocardial infarction, stroke, and all-cause mortality during follow-up to 5 years. We used inverse probability weighting of a Cox proportional hazards model and reported results using hazard ratios with 95% confidence intervals. Results: The cohort included 7,174 adult sepsis survivors, of whom 3,805 were new users of a RASi and 3,369 were new users of a calcium channel blocker or a thiazide diuretic. New users of a RASi experienced a lower hazard of major cardiovascular events than new users of a calcium channel blocker or a thiazide diuretic (hazard ratio, 0.93; 95% confidence interval, 0.87-0.99). This association was consistent across different follow-up intervals and multiple sensitivity analyses. Conclusions: A new RASi prescription is associated with a reduction in major cardiovascular events after sepsis. A randomized controlled trial should be considered to confirm this finding.
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Udell JA, Brickman AR, Chu A, Ferreira-Legere LE, Sheth MS, Ko DT, Austin PC, Abdel-Qadir H, Ivers NM, Bhatia RS, Farkouh ME, Stukel TA, Tu JV. Primary Care Clinical Volumes, Cholesterol Testing, and Cardiovascular Outcomes. Can J Cardiol 2023; 39:340-349. [PMID: 36574928 DOI: 10.1016/j.cjca.2022.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND It is unknown whether the annual number of primary care physician (PCP) unique outpatient assessments, which we refer to as clinical volume, translates into better cardiovascular preventive care. We examined the relationship between PCP outpatient clinical volumes and cholesterol testing and major adverse cardiovascular event rates among guideline-recommended eligible patients. METHODS This was a retrospective cohort study conducted as part of the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) cohort, a population-based cohort of almost all adult residents of Ontario, Canada, followed from 2008 to 2012. For each clinical volume quintile, we compared cholesterol testing and major adverse cardiovascular events, defined as time to first event of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. RESULTS The 10,037 PCPs evaluated had an annualized median volume of 2303 clinical encounters (IQR 1292-3680). Among 4,740,380 patients, 84% underwent guideline-concordant cholesterol testing at least once over 5 years, ranging from 73% with the lowest clinical volume quintile physicians to 86% with the highest. After multivariable adjustment, there was a 10.5% relative increase in the probability of cholesterol testing for every doubling of clinical volumes (95% CI 9.7-11.4; P < 0.001). Patients treated by the lowest volume quintile physicians had the highest rate of major adverse cardiovascular outcomes (compared with the highest volume quintile physicians: adjusted HR 1.15, 95% CI 1.10-1.21; P < 0.001). CONCLUSIONS Patients of physicians with the lowest clinical volumes received less frequent cholesterol testing and had the highest rate of incident cardiovascular events. Further research investigating the drivers of this relationship is warranted.
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Affiliation(s)
- Jacob A Udell
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada.
| | - Arielle R Brickman
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada
| | | | | | - Maya S Sheth
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Dennis T Ko
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; Schulich Heart Centre, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Husam Abdel-Qadir
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Noah M Ivers
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; Department of Family Medicine, Women's College Hospital, Toronto, Ontario, Canada
| | - R Sacha Bhatia
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Michael E Farkouh
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Thérèse A Stukel
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jack V Tu
- ICES, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada; Schulich Heart Centre, Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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20
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Blom JN, Velez MP, McClintock C, Shellenberger J, Pudwell J, Brogly SB, Bougie O. Endometriosis and cardiovascular disease: a population-based cohort study. CMAJ Open 2023; 11:E227-E236. [PMID: 36882211 PMCID: PMC10000901 DOI: 10.9778/cmajo.20220144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
BACKGROUND Endometriosis, a prevalent condition among females of reproductive age, may be associated with increased risk of cardiovascular disease (CVD) through chronic inflammation and early menopause. The objective of this study was to estimate the association between endometriosis and subsequent risk of CVD. METHODS We conducted a population-based cohort study using administrative health data from Ontario residents from 1993 to 2015. We compared the incidence of CVD and cardiovascular health outcomes between females with endometriosis and 2 age-matched females without endometriosis. The primary outcome was hospital admission for CVD. Secondary outcomes included in-hospital CVD events of interest and emergency department visits for CVD. We used Cox proportional hazards models to estimate adjusted hazard ratios (HRs) between endometriosis and CVD events. RESULTS We identified 166 835 eligible patients with endometriosis and matched 333 706 patients without endometriosis. The mean age of those with endometriosis was 36.4 years. Patients with endometriosis had a higher incidence of hospital admission for CVD (195 admissions/100 000 person-years) compared with those without endometriosis (163 admissions/100 000 person-years). Similarly, the incidence of secondary CVD events was slightly higher among patients with endometriosis (292 cases/100 000 person-years) than among those without endometriosis (224 cases/100 000 person-years). Females with endometriosis had an increased risk of hospital admission (adjusted HR 1.14, 95% confidence interval [CI] 1.10-1.19) and secondary CVD events (adjusted HR 1.26, 95% CI 1.23-1.30). INTERPRETATION In this large, population-based study, endometriosis was associated with a small increased risk of CVD events. Future studies need to investigate potential etiological mechanisms and strategies to decrease long-term CVD risk in patients with endometriosis.
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Affiliation(s)
- Jessica N Blom
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Maria P Velez
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Chad McClintock
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Jonas Shellenberger
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Jessica Pudwell
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Susan B Brogly
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont
| | - Olga Bougie
- Department of Obstetrics and Gynaecology (Blom, Velez, Pudwell, Bougie), Queen's University, Kingston Health Sciences Centre; ICES Queen's (Velez, McClintock, Shellenberger, Brogly); Department of Surgery (Brogly), Queen's University, Kingston, Ont.
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21
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Tam DY, Fang J, Rocha RV, Rao SV, Dzavik V, Lawton J, Austin PC, Gaudino M, Fremes SE, Lee DS. Real-World Examination of Revascularization Strategies for Left Main Coronary Disease in Ontario, Canada. JACC Cardiovasc Interv 2023; 16:277-288. [PMID: 36609048 DOI: 10.1016/j.jcin.2022.10.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Revised: 09/08/2022] [Accepted: 10/04/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Randomized trials have compared percutaneous coronary intervention and coronary artery bypass grafting (CABG) in patients with left main coronary artery disease undergoing nonemergent revascularization. However, there is a paucity of real-world contemporary observational studies comparing percutaneous coronary intervention (PCI) and CABG. OBJECTIVES The purpose of this study was to compare the long-term clinical outcomes of CABG versus PCI in patients with left main coronary disease. METHODS Clinical and administrative databases for Ontario, Canada, were linked to obtain records of all patients with angiographic evidence of left main coronary artery disease (≥50% stenosis) treated with either isolated CABG or PCI from 2008 to 2020. Emergent, cardiogenic shock, and ST-segment elevation myocardial infarction patients were excluded. Baseline characteristics of patients were compared and 1:1 propensity score matching was performed. Late mortality and major adverse cardiac and cerebrovascular events were compared between the matched groups using a Cox proportional hazard model. RESULTS After exclusions, 1,299 and 21,287 patients underwent PCI and CABG, respectively. Prior to matching, PCI patients were older (age 75.2 vs 68.0 years) and more likely to be women (34.6% vs 20.1%), although they had less CAD burden. Propensity score matching on 25 baseline covariates yielded 1,128 well-matched pairs. There was no difference in early mortality between PCI and CABG (5.5% vs 3.9%; P = 0.075). Over 7-year follow-up, all-cause mortality (53.6% vs 35.2%; HR: 1.63; 95% CI: 1.42-1.87; P < 0.001) and major adverse cardiac and cerebrovascular events (66.8% vs 48.6%; HR: 1.77; 95% CI: 1.57-2.00) were significantly higher with PCI than CABG. CONCLUSIONS CABG was the most common revascularization strategy in this real-world registry. Patients undergoing PCI were much older and of higher risk at baseline. After matching, there was no difference in early mortality but improved late survival and freedom from major adverse cardiac and cerebrovascular events with CABG.
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Affiliation(s)
- Derrick Y Tam
- Division of Cardiac Surgery, Department of Surgery, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | | | - Rodolfo V Rocha
- Division of Cardiac Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Sunil V Rao
- Division of Cardiology, Durham VA Health System, Duke University Health System, Durham, North Carolina, USA
| | - Vladimir Dzavik
- Division of Cardiology, Department of Medicine, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer Lawton
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Peter C Austin
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - Mario Gaudino
- Department of Cardiothoracic Surgery, Weill Cornell Medical College, New York, New York, USA
| | - Stephen E Fremes
- Division of Cardiac Surgery, Department of Surgery, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Douglas S Lee
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; Division of Cardiology, Department of Medicine, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
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22
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Yu AYX, Nerenberg KA, Diong C, Fang J, Chu A, Kapral MK, Edwards JD, Dancey SR, Austin PC, Auger N. Maternal Health Outcomes After Pregnancy-Associated Stroke: A Population-Based Study With 19 Years of Follow-Up. Stroke 2023; 54:337-344. [PMID: 36689587 DOI: 10.1161/strokeaha.122.041471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 12/07/2022] [Indexed: 01/24/2023]
Abstract
BACKGROUND Pregnancy-associated stroke carries high short-term morbidity and mortality, but data on subsequent maternal outcomes are limited. We evaluated long-term maternal health outcomes after pregnancy-associated stroke. METHODS In this retrospective cohort study, we used administrative data to identify pregnant adults aged ≤49 years with stroke between 2002-2020 in Ontario, Canada and 2 comparison groups: (1) non-pregnant female patients with stroke and (2) pregnant patients without stroke. Patients who survived the index admission were followed until 2021. After propensity score matching, we used Cox regression with a robust variance estimator to compare pregnant patients with stroke and the 2 comparison groups for the composite outcome of death and all-cause non-pregnancy readmission. Where proportional hazard assumption was not met, we reported time-varying hazard ratios (HR) with 95% CIs by modeling the log-hazard ratio as a function of time using restricted cubic splines. RESULTS We identified 217 pregnant patients with stroke, 7604 non-pregnant patients with stroke, and 1 496 256 pregnant patients without stroke. Of the 202 pregnant patients with stroke who survived the index stroke admission, 41.6% (6.8 per 100 person-years) subsequently died or were readmitted during follow-up. Median follow-up times were 5 years (pregnancy-associated stroke), 3 years (non-pregnant stroke), and 8 years (pregnant without stroke). Pregnant patients with stroke had a lower hazard of death and all-cause readmission compared with non-pregnant patients with stroke at 1-year follow-up (HR, 0.64 [95% CI, 0.44-0.94]), but this association did not persist during longer-term follow-up. Conversely, pregnant patients with stroke had higher hazard of death and readmission compared with pregnant patients without stroke at 1-year follow-up (HR, 5.70 [95% CI, 3.04-10.66]), and this association persisted for a decade. CONCLUSIONS Stroke during pregnancy is associated with long-term health consequences. It is essential to transition care postpartum to primary or specialty care to optimize vascular health.
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Affiliation(s)
- Amy Y X Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada (A.Y.X.Y.)
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
| | - Kara A Nerenberg
- Departments of Medicine and Obstetrics and Gynecology, University of Calgary, Alberta, Canada (K.A.N.)
| | - Christina Diong
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
| | - Jiming Fang
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
| | - Anna Chu
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
| | - Moira K Kapral
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
- Department of Medicine (General Internal Medicine), University of Toronto-University Health Network, Ontario, Canada (M.K.K.)
| | - Jodi D Edwards
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
- University of Ottawa Heart Institute, Ontario, Canada (J.D.E., S.R.D.)
| | - Sonia R Dancey
- University of Ottawa Heart Institute, Ontario, Canada (J.D.E., S.R.D.)
- School of Epidemiology and Public Heath, University of Ottawa, Ontario, Canada (J.D.E.)
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada (A.Y.X.Y., C.D., J.F., A.C., M.K.K., J.D.E., P.C.A.)
| | - Nathalie Auger
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Quebec, Canada (N.A.)
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23
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Yu AYX, Austin PC, Rashid M, Fang J, Porter J, Vyas MV, Smith EE, Joundi RA, Edwards JD, Reeves MJ, Kapral MK. Sex Differences in Intensity of Care and Outcomes After Acute Ischemic Stroke Across the Age Continuum. Neurology 2023; 100:e163-e171. [PMID: 36180239 DOI: 10.1212/wnl.0000000000201372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/23/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Sex differences in stroke care and outcomes have been previously reported, but it is not known whether these associations vary across the age continuum. We evaluated whether the magnitude of female-male differences in care and outcomes varied with age. METHODS In a population-based cohort study, we identified patients hospitalized with ischemic stroke between 2012 and 2019 and followed through 2020 in Ontario, Canada, using administrative data. We evaluated sex differences in receiving intensive care unit services, mechanical ventilation, gastrostomy tube insertion, comprehensive stroke center care, stroke unit care, thrombolysis, and endovascular thrombectomy using logistic regression and reported odds ratios (ORs) and 95% CIs. We used Cox proportional hazard models and reported the hazard ratios (HRs) and 95% CI of death within 90 or 365 days. Models were adjusted for covariates and included an interaction between age and sex. We used restricted cubic splines to model the relationship between age and care and outcomes. Where the p-value for interaction was statistically significant (p < 0.05), we reported age-specific OR or HR. RESULTS Among 67,442 patients with ischemic stroke, 45.9% were female and the median age was 74 years (64-83). Care was similar between both sexes, except female patients had higher odds of receiving endovascular thrombectomy (OR 1.35, 95% CI [1.19-1.54] comparing female with male), and these associations were not modified by age. There was no overall sex difference in hazard of death (HR 95% CI 0.99 [0.95-1.04] for death within 90 days; 0.99 [0.96-1.03] for death within 365 days), but these associations were modified by age with the hazard of death being higher in female than male patients between the ages of 50-70 years (most extreme difference around age 57, HR 95% CI 1.25 [1.10-1.40] at 90 days, p-interaction 0.002; 1.15 [1.10-1.20] at 365 days, p-interaction 0.002). DISCUSSION The hazard of death after stroke was higher in female than male patients aged 50-70 years. Examining overall sex differences in outcomes without accounting for the effect modification by age may miss important findings in specific age groups.
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Affiliation(s)
- Amy Ying Xin Yu
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada.
| | - Peter C Austin
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Mohammed Rashid
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Jiming Fang
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Joan Porter
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Manav V Vyas
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Eric E Smith
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Raed A Joundi
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Jodi D Edwards
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Mathew J Reeves
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
| | - Moira K Kapral
- From the Department of Medicine (Neurology) (A.Y.X.Y.), University of Toronto, Sunnybrook Health Sciences Centre, Ontario, Canada; ICES (A.Y.X.Y., P.C.A., M.R., J.F., J.P., M.V.V., J.E., M.K.K.), Toronto, Ontario, Canada; Institute of Health Policy Management and Evaluation (A.Y.X.Y., P.C.A., M.V.V., M.K.K.), University of Toronto, Ontario, Canada; Department of Medicine (Neurology) (M.V.V.), University of Toronto, Unity Health Toronto, Ontario, Canada; Department of Clinical Neurosciences (E.S.), Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Alberta, Canada; Department of Medicine (R.A.J.), Hamilton Health Sciences Centre, McMaster University, Ontario, Canada; University of Ottawa Heart Institute (J.E.), Ontario, Canada; School of Epidemiology and Public Heath (J.E.), University of Ottawa, Ontario, Canada; Department of Epidemiology and Biostatistics M.J.R., College of Human Medicine, Michigan State University, East Lansing; and Department of Medicine (General Internal Medicine) (M.K.K.), University of Toronto-University Health Network, Ontario, Canada
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Lee DS, Straus SE, Farkouh ME, Austin PC, Taljaard M, Chong A, Fahim C, Poon S, Cram P, Smith S, McKelvie RS, Porepa L, Hartleib M, Mitoff P, Iwanochko RM, MacDougall A, Shadowitz S, Abrams H, Elbarasi E, Fang J, Udell JA, Schull MJ, Mak S, Ross HJ. Trial of an Intervention to Improve Acute Heart Failure Outcomes. N Engl J Med 2023; 388:22-32. [PMID: 36342109 DOI: 10.1056/nejmoa2211680] [Citation(s) in RCA: 47] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Patients with acute heart failure are frequently or systematically hospitalized, often because the risk of adverse events is uncertain and the options for rapid follow-up are inadequate. Whether the use of a strategy to support clinicians in making decisions about discharging or admitting patients, coupled with rapid follow-up in an outpatient clinic, would affect outcomes remains uncertain. METHODS In a stepped-wedge, cluster-randomized trial conducted in Ontario, Canada, we randomly assigned 10 hospitals to staggered start dates for one-way crossover from the control phase (usual care) to the intervention phase, which involved the use of a point-of-care algorithm to stratify patients with acute heart failure according to the risk of death. During the intervention phase, low-risk patients were discharged early (in ≤3 days) and received standardized outpatient care, and high-risk patients were admitted to the hospital. The coprimary outcomes were a composite of death from any cause or hospitalization for cardiovascular causes within 30 days after presentation and the composite outcome within 20 months. RESULTS A total of 5452 patients were enrolled in the trial (2972 during the control phase and 2480 during the intervention phase). Within 30 days, death from any cause or hospitalization for cardiovascular causes occurred in 301 patients (12.1%) who were enrolled during the intervention phase and in 430 patients (14.5%) who were enrolled during the control phase (adjusted hazard ratio, 0.88; 95% confidence interval [CI], 0.78 to 0.99; P = 0.04). Within 20 months, the cumulative incidence of primary-outcome events was 54.4% (95% CI, 48.6 to 59.9) among patients who were enrolled during the intervention phase and 56.2% (95% CI, 54.2 to 58.1) among patients who were enrolled during the control phase (adjusted hazard ratio, 0.95; 95% CI, 0.92 to 0.99). Fewer than six deaths or hospitalizations for any cause occurred in low- or intermediate-risk patients before the first outpatient visit within 30 days after discharge. CONCLUSIONS Among patients with acute heart failure who were seeking emergency care, the use of a hospital-based strategy to support clinical decision making and rapid follow-up led to a lower risk of the composite of death from any cause or hospitalization for cardiovascular causes within 30 days than usual care. (Funded by the Ontario SPOR Support Unit and others; COACH ClinicalTrials.gov number, NCT02674438.).
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Affiliation(s)
- Douglas S Lee
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Sharon E Straus
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Michael E Farkouh
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Peter C Austin
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Monica Taljaard
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Alice Chong
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Christine Fahim
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Stephanie Poon
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Peter Cram
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Stuart Smith
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Robert S McKelvie
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Liane Porepa
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Michael Hartleib
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Peter Mitoff
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Robert M Iwanochko
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Andrea MacDougall
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Steven Shadowitz
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Howard Abrams
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Esam Elbarasi
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Jiming Fang
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Jacob A Udell
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Michael J Schull
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Susanna Mak
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
| | - Heather J Ross
- From the University of Toronto (D.S.L., S.E.S., M.E.F., P.C.A., S.P., P.C., R.M.I., S. Shadowitz, H.A., J.A.U., M.J.S., S.M., H.J.R.), the Ted Rogers Centre for Heart Research and the Peter Munk Cardiac Centre, University Health Network (D.S.L., M.E.F., J.A.U., H.J.R.), ICES (formerly the Institute for Clinical Evaluative Sciences) (D.S.L., P.C.A., A.C., P.C., J.F., J.A.U., M.J.S.), St. Michael's Hospital and Li Ka Shing Knowledge Institute, Unity Health (S.E.S., C.F.), the Divisions of Cardiology (S.P.) and General Internal Medicine (S. Shadowitz) and the Department of Emergency Services and Sunnybrook Research Institute (M.J.S.), Sunnybrook Health Sciences Centre, the Division of Cardiology, St. Joseph's Hospital (P.M.), the Division of Cardiology, Toronto Western Hospital (R.M.I.), the Division of General Internal Medicine, Toronto General Hospital (H.A.), the Division of Cardiology, Women's College Hospital (J.A.U.), and the Division of Cardiology, Sinai Health (S.M.), Toronto, the Clinical Epidemiology Program, Ottawa Hospital Research Institute, School of Epidemiology and Public Health, University of Ottawa, Ottawa (M.T.), the Division of Cardiology, London Health Sciences Centre (S. Smith), Western University (S. Smith, R.S.M.), and the Division of Cardiology, St. Joseph's Health Care (R.S.M.), London, the Division of Cardiology, Southlake Regional Health Centre, Newmarket (L.P.), the Division of Cardiology, Peterborough Regional Health Centre, Peterborough (M.H.), the Division of Cardiology, Thunder Bay Regional Health Sciences Centre, Thunder Bay (A.M.), and the Division of Cardiology, William Osler Health System, Brampton (E.E.) - all in Ontario, Canada; and the Department of Medicine, University of Texas Medical Branch, Galveston (P.C.)
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Fottinger A, Eddeen AB, Lee DS, Woodward G, Sun LY. Derivation and validation of pragmatic clinical models to predict hospital length of stay after cardiac surgery in Ontario, Canada: a population-based cohort study. CMAJ Open 2023; 11:E180-E190. [PMID: 36854454 PMCID: PMC9981165 DOI: 10.9778/cmajo.20220103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Cardiac surgery is resource intensive and often requires multidisciplinary involvement to facilitate discharge. To facilitate evidence-based resource planning, we derived and validated clinical models to predict postoperative hospital length of stay (LOS). METHODS We used linked, population-level databases with information on all Ontario residents and included patients aged 18 years or older who underwent coronary artery bypass grafting, valvular or thoracic aorta surgeries between October 2008 and September 2019. The primary outcome was hospital LOS. The models were derived by using patients who had surgery before Sept. 30, 2016, and validated after that date. To address the rightward skew in LOS data and to identify top-tier resource users, we used logistic regression to derive a model to predict the likelihood of LOS being more than the 98th percentile (> 30 d), and γ regression in the remainder to predict continuous LOS in days. We used backward stepwise variable selection for both models. RESULTS Among 105 193 patients, 2422 (2.3%) had an LOS of more than 30 days. Factors predicting prolonged LOS included age, female sex, procedure type and urgency, comorbidities including frailty, high-risk acute coronary syndrome, heart failure, reduced left ventricular ejection fraction and psychiatric and pulmonary circulatory disease. The C statistic was 0.92 for the prolonged LOS model and the mean absolute error was 2.4 days for the continuous LOS model. INTERPRETATION We derived and validated clinical models to identify top-tier resource users and predict continuous LOS with excellent accuracy. Our models could be used to benchmark clinical performance based on expected LOS, rationally allocate resources and support patient-centred operative decision-making.
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Affiliation(s)
- Alexandra Fottinger
- Department of Anesthesiology, Perioperative and Pain Medicine (Sun), Stanford University School of Medicine, Stanford, CA; Team Soleil Data Laboratory (Fottinger, Sun), University of Ottawa Heart Institute, Ottawa, Ont.; ICES uOttawa (Bader Eddeen, Sun), Ottawa, Ont.; ICES Central (Lee); Peter Munk Cardiac Centre (Lee), University Health Network, University of Toronto, Toronto, Ont.; CorHealth Ontario (Woodward), Toronto, Ont
| | - Anan Bader Eddeen
- Department of Anesthesiology, Perioperative and Pain Medicine (Sun), Stanford University School of Medicine, Stanford, CA; Team Soleil Data Laboratory (Fottinger, Sun), University of Ottawa Heart Institute, Ottawa, Ont.; ICES uOttawa (Bader Eddeen, Sun), Ottawa, Ont.; ICES Central (Lee); Peter Munk Cardiac Centre (Lee), University Health Network, University of Toronto, Toronto, Ont.; CorHealth Ontario (Woodward), Toronto, Ont
| | - Douglas S Lee
- Department of Anesthesiology, Perioperative and Pain Medicine (Sun), Stanford University School of Medicine, Stanford, CA; Team Soleil Data Laboratory (Fottinger, Sun), University of Ottawa Heart Institute, Ottawa, Ont.; ICES uOttawa (Bader Eddeen, Sun), Ottawa, Ont.; ICES Central (Lee); Peter Munk Cardiac Centre (Lee), University Health Network, University of Toronto, Toronto, Ont.; CorHealth Ontario (Woodward), Toronto, Ont
| | - Graham Woodward
- Department of Anesthesiology, Perioperative and Pain Medicine (Sun), Stanford University School of Medicine, Stanford, CA; Team Soleil Data Laboratory (Fottinger, Sun), University of Ottawa Heart Institute, Ottawa, Ont.; ICES uOttawa (Bader Eddeen, Sun), Ottawa, Ont.; ICES Central (Lee); Peter Munk Cardiac Centre (Lee), University Health Network, University of Toronto, Toronto, Ont.; CorHealth Ontario (Woodward), Toronto, Ont
| | - Louise Y Sun
- Department of Anesthesiology, Perioperative and Pain Medicine (Sun), Stanford University School of Medicine, Stanford, CA; Team Soleil Data Laboratory (Fottinger, Sun), University of Ottawa Heart Institute, Ottawa, Ont.; ICES uOttawa (Bader Eddeen, Sun), Ottawa, Ont.; ICES Central (Lee); Peter Munk Cardiac Centre (Lee), University Health Network, University of Toronto, Toronto, Ont.; CorHealth Ontario (Woodward), Toronto, Ont.
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26
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Sheth MS, Yu B, Chu A, Porter J, Tam DY, Ferreira‐Legere LE, Goodman SG, Farkouh ME, Ko DT, Abdel‐Qadir H, Udell JA. Eligibility and Implementation of Rivaroxaban for Secondary Prevention of Atherothrombosis in Clinical Practice-Insights From the CANHEART Study. J Am Heart Assoc 2022; 11:e026553. [PMID: 36515238 PMCID: PMC9798819 DOI: 10.1161/jaha.122.026553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background The COMPASS (Cardiovascular Outcomes for People Using Anticoagulation Strategies) trial decreased major adverse cardiovascular events with very low-dose rivaroxaban and aspirin in patients with coronary artery disease and peripheral artery disease. We examined the eligibility and potential real-world impact of this strategy on the COMPASS-eligible population. Methods and Results COMPASS eligibility criteria were applied to the CANHEART (Cardiovascular Health in Ambulatory Care Research Team) registry, a population-based cohort of Ontario adults. We compared 5-year major adverse cardiovascular events and major bleeding rates stratified by COMPASS eligibility and by clinical risk factors. We applied COMPASS trial rivaroxaban/aspirin arm hazard ratios to estimate the potential impact on the COMPASS-eligible cohort. Among 362 797 patients with coronary artery disease or peripheral artery disease, 38% were deemed eligible, 47% ineligible, and 15% indeterminate. Among eligible patients, a greater number of risk factors was associated with higher rates of cardiovascular outcomes, whereas bleeding rates increased minimally. Over 5 years, applying COMPASS treatment effects to eligible patients resulted in a 2.4% absolute risk reduction of major adverse cardiovascular events and a number needed to treat of 42, and a 1.3% absolute risk increase of major bleeding and number needed to harm (NNH) of 77. Those with at least 2 risk factors had a 3.0% absolute risk reduction of major adverse cardiovascular events (number needed to treat =34) and a 1.6% absolute risk increase of major bleeding (number needed to harm =61). Conclusions Implementation of very-low-dose rivaroxaban therapy would potentially impact ≈$$ \approx $$2 in 5 patients with atherosclerotic disease in Ontario. Eligible individuals with ≥$$ \ge $$2 comorbidities represent a high-risk subgroup that may derive the greatest benefit-to-risk ratio. Selection of patients with high-risk predisposing factors appears appropriate in routine practice.
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Affiliation(s)
- Maya S. Sheth
- Women’s College Research InstituteTorontoCanada,Dalla Lana School of Public HealthUniversity of TorontoCanada
| | | | | | | | - Derrick Y Tam
- ICESTorontoCanada,Schulich Heart Centre, Sunnybrook Health Sciences CentreTorontoCanada,Institute of Health Policy, Management, and EvaluationUniversity of TorontoCanada
| | | | - Shaun G. Goodman
- Applied Health Research Centre, Li Ka Shing Knowledge InstituteSt Michael’s HospitalTorontoCanada,Department of Medicine, Faculty of MedicineUniversity of TorontoCanada
| | - Michael E. Farkouh
- Applied Health Research Centre, Li Ka Shing Knowledge InstituteSt Michael’s HospitalTorontoCanada,Department of Medicine, Faculty of MedicineUniversity of TorontoCanada,Peter Munk Cardiac CentreUniversity Health NetworkTorontoCanada
| | - Dennis T. Ko
- ICESTorontoCanada,Schulich Heart Centre, Sunnybrook Health Sciences CentreTorontoCanada,Institute of Health Policy, Management, and EvaluationUniversity of TorontoCanada
| | - Husam Abdel‐Qadir
- Women’s College Research InstituteTorontoCanada,ICESTorontoCanada,Institute of Health Policy, Management, and EvaluationUniversity of TorontoCanada,Department of Medicine, Faculty of MedicineUniversity of TorontoCanada,Peter Munk Cardiac CentreUniversity Health NetworkTorontoCanada,Cardiovascular Division, Department of MedicineWomen’s College HospitalTorontoCanada
| | - Jacob A. Udell
- Women’s College Research InstituteTorontoCanada,ICESTorontoCanada,Institute of Health Policy, Management, and EvaluationUniversity of TorontoCanada,Applied Health Research Centre, Li Ka Shing Knowledge InstituteSt Michael’s HospitalTorontoCanada,Department of Medicine, Faculty of MedicineUniversity of TorontoCanada,Peter Munk Cardiac CentreUniversity Health NetworkTorontoCanada,Cardiovascular Division, Department of MedicineWomen’s College HospitalTorontoCanada
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Population-Based Recalibration of the Framingham Risk Score and Pooled Cohort Equations. J Am Coll Cardiol 2022; 80:1330-1342. [PMID: 36175052 DOI: 10.1016/j.jacc.2022.07.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND The Framingham Risk Score (FRS) and Pooled Cohort Equations (PCEs) overestimate risk in many contemporary cohorts. OBJECTIVES This study sought to determine if recalibration of these scores using contemporary population-level data improves risk stratification for statin therapy. METHODS Five-year FRS and PCEs were recalibrated using a cohort of Ontario residents alive January 1, 2011, who were 30 to 79 years of age without cardiovascular disease. Scores were externally validated in a primary care cohort of routinely collected electronic medical record data from January 1, 2010, to December 31, 2014. The relative difference in mean predicted and observed risk, number of statins avoided, and number needed to treat with statins to reduce a cardiovascular event at 5 years were reported. RESULTS The FRS was recalibrated in 6,938,971 Ontario residents (51.6% women, mean age 48 years) and validated in 71,450 individuals (56.1% women, mean age 52 years). Recalibration reduced overestimation from 109% to 49% for women and 131% to 32% for men. The recalibrated FRS was estimated to reduce statin prescriptions in up to 26 per 1,000 low-risk women and 80 per 1,000 low-risk men, as well as reduce the number needed to treat from 61 to 47 in women and from 53 to 41 in men. In contrast, after recalibration of the PCEs, risk remained overestimated by 217% in women and 128% in men. CONCLUSIONS Recalibration is a feasible solution to improve risk prediction but is dependent on the model being used. Recalibration of the FRS but not the PCEs reduced overestimation and may improve utilization of statins.
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Patel S, Thompson W, Sivaswamy A, Khan A, Ferreira-Legere L, Lee DS, Abdel-Qadir H, Jackevicius C, Goodman S, Farkouh ME, Tu K, Kapral MK, Wijeysundera HC, Tam D, Austin PC, Fang J, Ko DT, Udell JA. Development and validation of a model to categorize cardiovascular cause of death using health administrative data. AMERICAN HEART JOURNAL PLUS : CARDIOLOGY RESEARCH AND PRACTICE 2022; 22:100207. [PMID: 38558908 PMCID: PMC10978408 DOI: 10.1016/j.ahjo.2022.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/12/2022] [Accepted: 09/13/2022] [Indexed: 04/04/2024]
Abstract
Study objective Develop and evaluate a model that uses health administrative data to categorize cardiovascular (CV) cause of death (COD). Design Population-based cohort. Setting Ontario, Canada. Participants Decedents ≥ 40 years with known COD between 2008 and 2015 in the CANHEART cohort, split into derivation (2008 to 2012; n = 363,778) and validation (2013 to 2015; n = 239,672) cohorts. Main outcome measures Model performance. COD was categorized as CV or non-CV with ICD-10 codes as the gold standard. We developed a logistic regression model that uses routinely collected healthcare administrative to categorize CV versus non-CV COD. We assessed model discrimination and calibration in the validation cohort. Results The strongest predictors for CV COD were history of stroke, history of myocardial infarction, history of heart failure, and CV hospitalization one month before death. In the validation cohort, the c-statistic was 0.80, the sensitivity 0.75 (95 % CI 0.74 to 0.75) and the specificity 0.71 (95 % CI 0.70 to 0.71). In the primary prevention validation sub-cohort, the c-statistic was 0.81, the sensitivity 0.71 (95 % CI 0.70 to 0.71) and the specificity 0.75 (95 % CI 0.75 to 0.75) while in the secondary prevention sub-cohort the c-statistic was 0.74, the sensitivity 0.81 (95 % CI 0.81 to 0.82) and the specificity 0.54 (95 % CI 0.53 to 0.54). Conclusion Modelling approaches using health administrative data show potential in categorizing CV COD, though further work is necessary before this approach is employed in clinical studies.
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Affiliation(s)
- Sagar Patel
- Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Wade Thompson
- Women's College Research Institute, Toronto, Canada
- ICES, Toronto, Canada
- Research Unit of General Practice, University of Southern Denmark, Odense, Denmark
- Department of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Canada
| | | | | | | | - Douglas S. Lee
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Husam Abdel-Qadir
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada
| | - Cynthia Jackevicius
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Western University of Health Sciences, Pomona, CA, United States of America
| | - Shaun Goodman
- Western University of Health Sciences, Pomona, CA, United States of America
- Division of Cardiology, St. Michael's Hospital, Toronto, Canada
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
| | - Michael E. Farkouh
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
- Heart and Stroke/Richard Lewar Centre of Excellence, University of Toronto, Toronto, Canada
| | - Karen Tu
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- North York General Hospital, Department of Family and Community Medicine, University of Toronto, Toronto, Canada
- Toronto Western Hospital Family Health Team, University Health Network, Toronto, Canada
| | - Moira K. Kapral
- ICES, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Harindra C. Wijeysundera
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Derrick Tam
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Peter C. Austin
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | | | - Dennis T. Ko
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Jacob A. Udell
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
- Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada
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29
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Akioyamen LE, Chu A, Genest J, Lee DS, Abdel-Qadir H, Jackevicius CA, Lawler PR, Sud M, Udell JA, Wijeysundera HC, Ko DT. Prevalence and Treatment of Familial Hypercholesterolemia and Severe Hypercholesterolemia in Older Adults in Ontario, Canada. CJC Open 2022; 4:739-747. [PMID: 36148251 PMCID: PMC9486867 DOI: 10.1016/j.cjco.2022.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Background A simplified Canadian definition was recently developed to enable identification of individuals with familial hypercholesterolemia (FH) and severe hypercholesterolemia in the general population. Our objective was to use a modified version of this new definition to assess contemporary disease prevalence, treatment patterns, and low-density lipoprotein cholesterol (LDL-C) control in Ontario, Canada. Methods We identified individuals aged 66 to 105 years who were alive as of January 1, 2011, using the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) database, which was created by linking 19 population-based health databases in Ontario. Hypercholesterolemia was identified using LDL-C values. Cholesterol reduction and lipid-lowering treatment were assessed at time of diagnosis and after at least 2 and 5 years’ follow-up. Results Among 922,464 individuals, 2440 (0.26%) met criteria for definite or probable FH, and 72,893 (7.90%) for severe hypercholesterolemia. At diagnosis, mean LDL-C concentration was 9.52 mmol/L for those with definite FH, 5.83 mmol/L for those with probable FH, 5.73 mmol/L for those with severe hypercholesterolemia, and 3.33 mmol/L for all other individuals. After > 5 years, LDL-C concentration remained elevated at 3.58 mmol/L for those with definite FH, 2.72 mmol/L for those with probable FH, and 2.93 mmol/L for those with severe hypercholesteremia. Use of statin therapy was initially high (83% of those with definite FH, 78% of those with probable FH, 62% of those with severe hypercholesterolemia); however, fewer patients remained on statins at follow-up at > 5 years (62% of those with definite FH, 67% of those with probable FH, 58% of those with severe hypercholesterolemia). Conclusions Among older Ontarians, we estimated that 1 in 378 individuals had FH, and 1 in 13 had severe hypercholesterolemia. Despite being at substantially increased cardiovascular risk, these patients acheived suboptimal LDL-C level control and fewer were on medical therapy at follow-up.
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30
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Lee JJY, Feldman BM, McCrindle BW, Li P, Yeung RS, Widdifield J. Evaluating the time-varying risk of hypertension, cardiac events, and mortality following Kawasaki disease diagnosis. Pediatr Res 2022; 93:1439-1446. [PMID: 36002584 DOI: 10.1038/s41390-022-02273-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/22/2022] [Accepted: 08/03/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND This study evaluated the risk of hypertension, major adverse cardiac events (MACE), and all-cause mortality in Kawasaki disease (KD) patients up to young adulthood. METHODS An inception cohort of 1169 KD patients between 1991 and 2008 from a tertiary-level hospital in Ontario, Canada was linked with health administrative data to ascertain outcomes up to 28 years of follow-up. Their risk was compared with 11,690 matched population comparators. The primary outcome was hypertension and secondary outcomes were MACE and death. RESULTS After a median follow-up of 20 years [IQR: 8.3], the cumulative incidence of hypertension and MACE in the KD group was 3.8% (95% CI: 2.5-5.5) and 1.2% (95% CI: 0.6-2.4%), respectively. The overall survival probability in the KD group was 98.6% (95% CI: 97.2-99.3%). Relative to comparators, KD patients were at an increased risk for hypertension [aHR: 2.2 (95% CI: 1.5-3.4)], death [aHR: 2.5 (95% CI: 1.3-5.0)], and MACE [aHR: 10.7 (95% CI: 6.4-17.9)]. For hypertension and MACE, the aHR was the highest following diagnosis and then the excess risk diminished after 16 and 13 years of follow-up, respectively. MACE occurred largely in KD patients with coronary aneurysms [cumulative incidence: 12.8%]. CONCLUSIONS KD patients demonstrated a reassuring cardiac prognosis up to young adulthood with low events and excellent survival. KD patients were at increased risk for hypertension, but this excess risk occurred early and declined with time. IMPACT With the current standard of care, KD patients demonstrated favorable cardiac prognosis, with low events of hypertension, MACE, and excellent survival. Hypertension and MACE risk appear to be highest around the time of KD diagnosis. MACE occurred primarily in KD patients with coronary aneurysms. Our findings are reassuring to KD patients, families, and their providers. Our study demonstrated an association between KD exposure and hypertension. This association is relatively novel. Previous studies have remained conflicting if KD contributes to long-term atherosclerotic risk.
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Affiliation(s)
- Jennifer J Y Lee
- The Hospital for Sick Children (SickKids), Toronto, ON, Canada. .,ICES, Toronto, ON, Canada. .,University of Toronto, Toronto, ON, Canada.
| | - Brian M Feldman
- The Hospital for Sick Children (SickKids), Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management, & Evaluation, University of Toronto, Toronto, ON, Canada
| | - Brian W McCrindle
- The Hospital for Sick Children (SickKids), Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | | | - Rae Sm Yeung
- The Hospital for Sick Children (SickKids), Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada
| | - Jessica Widdifield
- ICES, Toronto, ON, Canada.,University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management, & Evaluation, University of Toronto, Toronto, ON, Canada.,Sunnybrook Research Institute, Toronto, ON, Canada
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31
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Sud M, Chu A, Austin PC, Naimark DJ, Thanassoulis G, Wijeysundera HC, Ko DT. Impact of Outcome Definitions on Cardiovascular Risk Prediction in a Contemporary Primary Prevention Population. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2022:qcac044. [PMID: 35904312 PMCID: PMC10284266 DOI: 10.1093/ehjqcco/qcac044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Estimation of an individual's cardiovascular disease (CVD) risk may enhance risk discussion and treatment decisions. Yet, common cardiovascular outcomes such as heart failure or coronary revascularization are not included in the estimation of atherosclerotic cardiovascular disease (ASCVD) risk. Our objective was to determine the incidence of ASCVD in a contemporary primary prevention population with more than 10 years of follow-up, and how incidence estimates change when incorporating additional cardiovascular endpoints. METHODS We used the population-level CANHEART (Cardiovascular Health in Ambulatory Care Research Team) database of all Ontario residents alive January 1, 2008, aged 30-99 years, and with no prior history of cardiovascular disease. Individuals were followed to December 31, 2019 for incident first and recurrent cardiovascular events. ASCVD outcomes were defined by hospitalizations for myocardial infarction, stroke and circulatory death, while global CVD outcomes also included hospitalizations for unstable angina, transient ischemic attacks, peripheral arterial disease, out-of-hospital cardiac arrests, heart failure and coronary revascularization. RESULTS Among 7496 165 individuals free of cardiovascular disease, their mean age was 50 years (SD: 13.9 years) and 52.3% were women. After 11 years of follow-up, the rate of an incident ASCVD event was 3.95 per 1000 person-years while the rate of a global CVD event was almost doubled at 6.67 per 1000 person-years. The most common additional first manifestations of CVD were heart failure which accounted for 12.0% of additional events and coronary revascularization which accounted for 12.7%. When considering first and recurrent events, the rate of ASCVD was 5.20 per 1000 person-years while the rate of all global CVD events was more than double at 10.90 per 1000 person-years. This was mainly due to a higher proportion of recurrent heart failure (13.7%) and coronary revascularization (23.2%) events. CONCLUSIONS ASCVD accounts for just over half of all preventable first cardiovascular events and even fewer first and recurrent cardiovascular events in contemporary practice. Estimating broader CVD endpoints may enhance risk-discussions with patients and improve informed decision-making.
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Affiliation(s)
- Maneesh Sud
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Canada
- Institute of Health Policy Management, and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Canada
| | | | - Peter C Austin
- Institute of Health Policy Management, and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
| | - David J Naimark
- Institute of Health Policy Management, and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Canada
| | - George Thanassoulis
- Department of Medicine, McGill University, Canada
- McGill University Health Centre, Canada
| | - Harindra C Wijeysundera
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Canada
- Institute of Health Policy Management, and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Canada
| | - Dennis T Ko
- Schulich Heart Program, Sunnybrook Health Sciences Centre, University of Toronto, Canada
- Institute of Health Policy Management, and Evaluation, University of Toronto, Canada
- ICES, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Canada
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32
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Relationship of frailty with excess mortality during the COVID-19 pandemic: a population-level study in Ontario, Canada. Aging Clin Exp Res 2022; 34:2557-2565. [PMID: 35776284 DOI: 10.1007/s40520-022-02173-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 06/07/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND There is a paucity of the literature on the relationship between frailty and excess mortality due to the COVID-19 pandemic. METHODS The entire community-dwelling adult population of Ontario, Canada, as of January 1st, 2018, was identified using the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) cohort. Residents of long-term care facilities were excluded. Frailty was categorized through the Johns Hopkins Adjusted Clinical Groups (ACG® System) frailty indicator. Follow-up was until December 31st, 2020, with March 11th, 2020, indicating the beginning of the COVID-19 pandemic. Using multivariable Cox models with patient age as the timescale, we determined the relationship between frailty status and pandemic period on all-cause mortality. We evaluated the modifier effect of frailty using both stratified models as well as incorporating an interaction between frailty and the pandemic period. RESULTS We identified 11,481,391 persons in our cohort, of whom 3.2% were frail based on the ACG indicator. Crude mortality increased from 0.75 to 0.87% per 100 person years from the pre- to post-pandemic period, translating to ~ 13,800 excess deaths among the community-dwelling adult population of Ontario (HR 1.11 95% CI 1.09-1.11). Frailty was associated with a statistically significant increase in all-cause mortality (HR 3.02, 95% CI 2.99-3.06). However, all-cause mortality increased similarly during the pandemic in frail (aHR 1.13, 95% CI 1.09-1.16) and non-frail (aHR 1.15, 95% CI 1.13-1.17) persons. CONCLUSION Although frailty was associated with greater mortality, frailty did not modify the excess mortality associated with the pandemic.
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Chu A, Shah BR, Rashid M, Booth GL, Fazli GS, Tu K, Sun LY, Abdel-Qadir H, Yu CH, Shin S, Connelly KA, Tobe S, Liu PP, Lee DS. Trends in glucose testing among individuals without diabetes in Ontario between 2010 and 2017: a population-based cohort study. CMAJ Open 2022; 10:E772-E780. [PMID: 35998927 PMCID: PMC9402266 DOI: 10.9778/cmajo.20210195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Early identification of people with diabetes or prediabetes enables greater opportunities for glycemic control and management strategies to prevent related complications. To identify gaps in screening for these conditions, we examined population trends in receipt of timely glucose testing overall and in specific clinical subgroups. METHODS Using linked administrative databases, we conducted a retrospective cohort study of people aged 40 years and older without diabetes at baseline. Our primary outcome was up-to-date glucose testing, defined as having received testing at least once in the 3 years before each index year from 2010 to 2017, using linked administrative databases of people residing in Ontario, Canada. We calculated rates of up-to-date testing by age group, sex, ethnicity (South Asian, Chinese, general population) and comorbidities (hypertension, hyperlipidemia, cardiovascular disease). RESULTS Over the 8-year study period, up-to-date glucose testing rates were stable at 67% for men and 77% for women (both relative risk 1.00 per year; 95% confidence interval 1.00-1.00). Testing rates were significantly lower in men than in women (all age groups p < 0.001) and lower in younger than older age groups (except those aged ≥ 80 yr). South Asian people had the highest testing rates, although among people aged 70 years or older, testing was highest in the general population (p < 0.001). Among people with hypertension, hyperlipidemia and cardiovascular disease, annual testing rates were also stable, but only 58% overall among people with hypertension. INTERPRETATION We found lower glucose testing rates in younger men and people with hypertension. Our findings reinforce the need for initiatives to increase awareness of glycemic testing.
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Affiliation(s)
- Anna Chu
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Baiju R Shah
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Mohammed Rashid
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Gillian L Booth
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Ghazal S Fazli
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Karen Tu
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Louise Y Sun
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Husam Abdel-Qadir
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Catherine H Yu
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Sheojung Shin
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Kim A Connelly
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Sheldon Tobe
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Peter P Liu
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont
| | - Douglas S Lee
- ICES Central (Chu, Shah, Rashid, Booth, Sun, Abdel-Qadir, Tobe, Lee); University of Toronto (Chu, Shah, Booth, Fazli, Tu, Abdel-Qadir, Yu, Connelly, Tobe, Lee); Sunnybrook Health Sciences Centre (Shah, Tobe); Unity Health Toronto (Booth, Fazli, Yu, Connelly); University Health Network (Tu, Abdel-Qadir, Lee); North York General Hospital (Tu), Toronto, Ont.; University of Ottawa Heart Institute (Sun, Liu); University of Ottawa (Sun, Shin), Ottawa, Ont.; Woman's College Hospital (Abdel-Qadir); Keenan Research Centre (Connelly), Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ont.; Northern Ontario School of Medicine (Tobe), Sudbury, Ont.
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Ozaki AF, Jackevicius CA, Chong A, Sud M, Fang J, Austin PC, Ko DT. Hospital-Level Variation in Ticagrelor Use in Patients With Acute Coronary Syndrome. J Am Heart Assoc 2022; 11:e024835. [PMID: 35766263 PMCID: PMC9333376 DOI: 10.1161/jaha.121.024835] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Background Despite improved outcomes associated with ticagrelor compared with clopidogrel in acute coronary syndrome (ACS), many studies have demonstrated slow adoption of ticagrelor in the United States because of its increased cost. Less is known about how ticagrelor is adopted when there is no added cost consideration. Our objectives were to determine patterns of use of ticagrelor, hospital‐level adoption of ticagrelor use, and factors associated with its use after ACS in a publicly funded health care system. Methods and Results We conducted a population‐based cohort study including patients (≥65 years) hospitalized with their first ACS from April 2014 to March 2018 in Ontario, Canada. We determined temporal trends in ticagrelor use and hospital‐level adoption of its use post‐ACS discharge. Using hierarchical regression models, we identified significant predictors of ticagrelor use. There were 23 962 patients with ACS (mean age 76.3 years, 59.7% men) hospitalized in 156 hospitals. Overall ticagrelor use increased from 32.6% in 2014/2015 to 51.8% in 2017/2018. There was substantial variation in ticagrelor use post‐ACS across hospitals, with hospital‐specific prescribing rates ranging from 0% to 83.6%. Lower odds of ticagrelor use was associated with advanced age and the presence of comorbidities. Besides patient factors, being admitted to a rurally located hospital more than halved the odds of being prescribed ticagrelor (odds ratio [OR], 0.49; 95% CI, 0.32–0.77). Being managed by a cardiologist during the index ACS hospitalization was associated with higher odds of having a ticagrelor prescription after ACS (OR, 2.80; 95% CI, 2.36–3.33). Conclusions Ticagrelor use rates varied substantially across hospitals and were strongly associated with physician and hospital factors independent of patient characteristics.
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Affiliation(s)
- Aya F Ozaki
- School of Pharmacy & Pharmaceutical Sciences University of California Irvine CA United States
| | - Cynthia A Jackevicius
- School of Pharmacy & Pharmaceutical Sciences University of California Irvine CA United States.,College of Pharmacy Western University of Health Sciences Pomona CA United States.,Veterans Affairs Greater Los Angeles Healthcare System Los Angeles CA United States.,ICES Toronto Canada.,University of Toronto Ontario Canada
| | | | - Maneesh Sud
- University of Toronto Ontario Canada.,Schulich Heart Centre Sunnybrook Health Sciences Centre Toronto Ontario Canada
| | | | - Peter C Austin
- ICES Toronto Canada.,University of Toronto Ontario Canada
| | - Dennis T Ko
- ICES Toronto Canada.,University of Toronto Ontario Canada.,Schulich Heart Centre Sunnybrook Health Sciences Centre Toronto Ontario Canada
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Udell JA, Behrouzi B, Sivaswamy A, Chu A, Ferreira-Legere LE, Fang J, Goodman SG, Ezekowitz JA, Bainey KR, van Diepen S, Kaul P, McAlister FA, Bogoch II, Jackevicius CA, Abdel-Qadir H, Wijeysundera HC, Ko DT, Austin PC, Lee DS. Clinical risk, sociodemographic factors, and SARS-CoV-2 infection over time in Ontario, Canada. Sci Rep 2022; 12:10534. [PMID: 35750706 PMCID: PMC9232511 DOI: 10.1038/s41598-022-13598-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 05/25/2022] [Indexed: 01/08/2023] Open
Abstract
We aimed to determine whether early public health interventions in 2020 mitigated the association of sociodemographic and clinical risk factors with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We conducted a population-based cohort study of all adults in Ontario, Canada who underwent testing for SARS-CoV-2 through December 31, 2020. The outcome was laboratory-confirmed SARS-CoV-2 infection, determined by reverse transcription polymerase chain reaction testing. Adjusted odds ratios (ORs) were determined for sociodemographic and clinical risk factors before and after the first-wave peak of the pandemic to assess for changes in effect sizes. Among 3,167,753 community-dwelling individuals, 142,814 (4.5%) tested positive. The association between age and SARS-CoV-2 infection risk varied over time (P-interaction < 0.0001). Prior to the first-wave peak, SARS-CoV-2 infection increased with age whereas this association reversed thereafter. Risk factors that persisted included male sex, residing in lower income neighborhoods, residing in more racially/ethnically diverse communities, immigration to Canada, hypertension, and diabetes. While there was a reduction in infection rates after mid-April 2020, there was less impact in regions with higher racial/ethnic diversity. Immediately following the initial peak, individuals living in the most racially/ethnically diverse communities with 2, 3, or ≥ 4 risk factors had ORs of 1.89, 3.07, and 4.73-fold higher for SARS-CoV-2 infection compared to lower risk individuals in their community (all P < 0.0001). In the latter half of 2020, this disparity persisted with corresponding ORs of 1.66, 2.48, and 3.70-fold higher, respectively. In the least racially/ethnically diverse communities, there was little/no gradient in infection rates across risk strata. Further efforts are necessary to reduce the risk of SARS-CoV-2 infection among the highest risk individuals residing in the most racially/ethnically diverse communities.
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Affiliation(s)
- Jacob A Udell
- ICES, Toronto, Canada. .,Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada. .,Peter Munk Cardiac Centre, University Health Network, Toronto, Canada. .,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada. .,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
| | - Bahar Behrouzi
- ICES, Toronto, Canada.,Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | | | | | | | | | - Shaun G Goodman
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Division of Cardiology, St. Michael's Hospital, Toronto, Canada.,Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada
| | - Justin A Ezekowitz
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada.,Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Kevin R Bainey
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada.,Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Sean van Diepen
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada.,Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Padma Kaul
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada.,Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Finlay A McAlister
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Canada.,Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.,Department of Critical Care Medicine and Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Isaac I Bogoch
- Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Divisions of General Internal Medicine and Infectious Diseases, University Health Network, Toronto, Canada
| | - Cynthia A Jackevicius
- ICES, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Western University of Health Sciences, Pomona, CA, USA
| | - Husam Abdel-Qadir
- ICES, Toronto, Canada.,Cardiovascular Division, Department of Medicine, Women's College Hospital, Toronto, Canada.,Peter Munk Cardiac Centre, University Health Network, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Harindra C Wijeysundera
- ICES, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Dennis T Ko
- ICES, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.,Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Peter C Austin
- ICES, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Douglas S Lee
- ICES, Toronto, Canada.,Peter Munk Cardiac Centre, University Health Network, Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada.,Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
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36
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Yang S, Han Y, Yu C, Guo Y, Pang Y, Sun D, Pei P, Yang L, Chen Y, Du H, Wang H, Massa MS, Bennett D, Clarke R, Chen J, Chen Z, Lv J, Li L. Development of a Model to Predict 10-Year Risk of Ischemic and Hemorrhagic Stroke and Ischemic Heart Disease Using the China Kadoorie Biobank. Neurology 2022; 98:e2307-e2317. [PMID: 35410902 PMCID: PMC9202526 DOI: 10.1212/wnl.0000000000200139] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 01/18/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Contemporary cardiovascular disease (CVD) risk prediction models are rarely applied in routine clinical practice in China due to substantial regional differences in absolute risks of major CVD types within China. Moreover, the inclusion of blood lipids in most risk prediction models also limits their use in the Chinese population. We developed 10-year CVD risk prediction models excluding blood lipids that may be applicable to diverse regions of China. METHODS We derived sex-specific models separately for ischemic heart disease (IHD), ischemic stroke (IS), and hemorrhagic stroke (HS) in addition to total CVD in the China Kadoorie Biobank. Participants were age 30-79 years without CVD at baseline. Predictors included age, systolic and diastolic blood pressure, use of blood pressure-lowering treatment, current daily smoking, diabetes, and waist circumference. Total CVD risks were combined in terms of conditional probability using the predicted risks of 3 submodels. Risk models were recalibrated in each region by 2 methods (practical and ideal) and risk prediction was estimated before and after recalibration. RESULTS Model derivation involved 489,596 individuals, including 45,947 IHD, 43,647 IS, and 11,168 HS cases during 11 years of follow-up. In women, the Harrell C was 0.732 (95% CI 0.706-0.758), 0.759 (0.738-0.779), and 0.803 (0.778-0.827) for IHD, IS, and HS, respectively. The Harrell C for total CVD was 0.734 (0.732-0.736), 0.754 (0.752-0.756), and 0.774 (0.772-0.776) for models before recalibration, after practical recalibration, and after ideal recalibration. The calibration performances improved after recalibration, with models after ideal recalibration showing the best model performances. The results for men were comparable to those for women. DISCUSSION Our CVD risk prediction models yielded good discrimination of IHD and stroke subtypes in addition to total CVD without including blood lipids. Flexible recalibration of our models for different regions could enable more widespread use using resident health records covering the overall Chinese population. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that a prediction model incorporating accessible clinical variables predicts 10-year risk of IHD, IS, and HS in the Chinese population age 30-79 years.
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Affiliation(s)
- Songchun Yang
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Yuting Han
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Canqing Yu
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Yu Guo
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Yuanjie Pang
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Dianjianyi Sun
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Pei Pei
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Ling Yang
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Yiping Chen
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Huaidong Du
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Hao Wang
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - M Sofia Massa
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Derrick Bennett
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Robert Clarke
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Junshi Chen
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Zhengming Chen
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Jun Lv
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
| | - Liming Li
- From the Department of Epidemiology & Biostatistics (S.Y., Y.H., C.Y., Y.P., D.S., J.L., L.L.), School of Public Health, Peking University; Peking University Center for Public Health and Epidemic Preparedness & Response (C.Y., J.L., L.L.); Fuwai Hospital Chinese Academy of Medical Sciences (Y.G.); Chinese Academy of Medical Sciences (P.P.), Beijing, China; Medical Research Council Population Health Research Unit at the University of Oxford (L.Y., Y.C., H.D.); Clinical Trial Service Unit & Epidemiological Studies Unit (L.Y., Y.C., H.D., M.S.M., D.B., R.C., Z.C.), Nuffield Department of Population Health, University of Oxford, UK; NCDs Prevention and Control Department (H.W.), Zhejiang CDC, Hangzhou; China National Center for Food Safety Risk Assessment (J.C.); and Key Laboratory of Molecular Cardiovascular Sciences (Peking University) (J.L.), Ministry of Education, Beijing, China
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Chu A, Hennessy DA, Johnston S, Udell JA, Lee DS, Jia J, Tu JV, Ko DT. Using big data for cardiovascular health surveillance: Insights from 10.3 million individuals in the CANHEART cohort. Can J Cardiol 2022; 38:1558-1566. [DOI: 10.1016/j.cjca.2022.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 05/23/2022] [Accepted: 06/06/2022] [Indexed: 11/28/2022] Open
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Morgenstern JD, Rosella LC, Costa AP, Anderson LN. Development of machine learning prediction models to explore nutrients predictive of cardiovascular disease using Canadian linked population-based data. Appl Physiol Nutr Metab 2022; 47:529-546. [PMID: 35113677 DOI: 10.1139/apnm-2021-0502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Machine learning may improve use of observational data to understand the nutritional epidemiology of cardiovascular disease (CVD) through better modelling of non-linearity, non-additivity, and dietary complexity. Our objective was to develop machine learning prediction models for exploring how nutrients are related to CVD risk and to evaluate their predictive performance. We established a population-based cohort from the Canadian Community Health Survey and measured CVD incidence and mortality from 2004 to 2018 using administrative databases of national hospital discharges and deaths. Predictors included 61 nutrition variables and fourteen socioeconomic, demographic, psychological, and behavioural variables. Conditional inference forest models were interpreted and evaluated by permutation feature importance, accumulated local effects, and predictive discrimination and calibration. A total of 12 130 individuals were included in the study. Use of supplements, caffeine, and alcohol were the most important nutrition variables for prediction of CVD. Supplement use was associated with decreased risk, caffeine was associated with increasing risk, and alcohol had a u-shaped association with risk. The model had an out-of-sample c-statistic of 0.821 (95% confidence interval = 0.801-0.842). Exploratory findings included both known and novel associations and predictive performance was competitive, suggesting that further application of machine learning to nutritional epidemiology may help elucidate risks and improve predictive models. Novelty: Machine learning prediction models were developed for CVD using dietary data. Models were interpreted with interpretable machine learning techniques, revealing diverse associations between diet and CVD. Models achieved comparable or superior predictive performance to existing CVD risk prediction models.
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Affiliation(s)
- Jason D Morgenstern
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Laura C Rosella
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.,Vector Institute, Toronto, Ontario, Canada
| | - Andrew P Costa
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Institute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.,Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Laura N Anderson
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.,Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada
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Roifman I, Han L, Fang J, Chu A, Austin P, Ko DT, Douglas P, Wijeysundera H. Patient, physician and geographic predictors of cardiac stress testing strategy in Ontario, Canada: a population-based study. BMJ Open 2022; 12:e059199. [PMID: 35273065 PMCID: PMC8915339 DOI: 10.1136/bmjopen-2021-059199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES To identify patient, physician and geographic level factors that are associated with variation in initial stress testing strategy in patients evaluated for chest pain. DESIGN Retrospective cohort study. SETTING Population-based study of patients undergoing evaluation for chest pain in Ontario, Canada between 1 January 2011 and 31 March 2018. PARTICIPANTS 103 368 patients who underwent stress testing (graded exercise stress testing (GXT), stress echocardiography (stress echo) or myocardial perfusion imaging (MPI)) following evaluation for chest pain. PRIMARY AND SECONDARY OUTCOME MEASURES To identify the patient, physician and geographic level factors associated with variation in initial test selection, we fit two separate 2-level hierarchical multinomial logistic regression models for which the outcome was initial stress testing strategy (GXT, MPI or stress echo). RESULTS There was significant variability in the initial type of stress test performed, with approximately 50% receiving a GXT compared with approximately 36% who received MPI and 14% who received a stress echo. Physician-level factors were key drivers of this variation, accounting for up to 59.0% of the variation in initial testing. Physicians who graduated medical school >30 years ago were approximately 45% more likely to order an initial stress echo (OR 1.45, 95% CI 1.17 to 1.80) than a GXT. Cardiovascular disease specialists were approximately sevenfold more likely to order an initial MPI (OR 7.35, 95% CI 5.38 to 10.03) than a GXT. Patients aged >70 years were approximately fivefold more likely to receive an MPI (OR 4.74, 95% CI 4.42 to 5.08) and approximately 26% more likely to receive a stress echo (OR 1.26, 95% CI 1.15 to 1.38) than a GXT. CONCLUSIONS We report significant variability in initial stress testing strategy in Ontario. Much of that variability was driven by physician-level factors that could potentially be addressed through educational campaigns geared at reducing this variability and improving guideline adherence.
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Affiliation(s)
- Idan Roifman
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Lu Han
- ICES, Toronto, Ontario, Canada
| | | | | | - Peter Austin
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Dennis T Ko
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Pamela Douglas
- Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Harindra Wijeysundera
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
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Rocha RV, Wang X, Fremes SE, Tam DY, Ko DT, Džavík V, Hannan EL, Austin PC, Ouzounian M, Lee DS. Variations in Coronary Revascularization Practices and Their Effect on Long-Term Outcomes. J Am Heart Assoc 2022; 11:e022770. [PMID: 35224975 PMCID: PMC9075075 DOI: 10.1161/jaha.121.022770] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background The degree of hospital‐level variation in the ratio of percutaneous coronary interventions to coronary artery bypass grafting procedures (PCI:CABG) and the association of the PCI:CABG ratio with clinical outcome are unknown. Methods and Results In a multicenter population‐based study conducted in Ontario, Canada, we identified 44 288 patients from 19 institutions who had nonemergent diagnostic angiograms indicating severe multivessel coronary artery disease (2013–2017) and underwent a coronary revascularization procedure within 90 days. Hospitals were divided into tertiles according to their adjusted PCI:CABG ratio into low (0.70–0.85, n=17 487), medium (1.01–1.17, n=15 275), and high (1.18–1.29, n=11 526) ratio institutions. Compared with low PCI:CABG ratio hospitals, hazard ratios (HRs) for major adverse cardiac and cerebrovascular events were higher at medium (HR, 1.19; 95% CI, 1.14–1.25) and high ratio (HR, 1.21; 95% CI, 1.15–1.27) hospitals during a median 3.3 (interquartile range 2.1–4.6) years follow‐up. When interventional cardiologists performed the diagnostic angiogram, the odds of the patient receiving PCI was higher (odds ratio, 1.37; 95% CI, 1.23–1.52) than when it was performed by noninterventional cardiologists, after accounting for patient characteristics. Having the diagnostic angiogram at an institution without cardiac surgical capabilities was independently associated with a higher risk of major adverse cardiac and cerebrovascular events (HR, 1.07; 95% CI, 1.02–1.11), death (HR, 1.09; 95% CI, 1.02–1.18), and myocardial infarction (HR, 1.10; 95% CI, 1.03–1.17). Conclusions Patients undergoing diagnostic angiography in hospitals with higher PCI:CABG ratio had higher rates of adverse outcomes, including major adverse cardiac and cerebrovascular events, myocardial infarction, and repeat revascularization. Presence of on‐site cardiac surgery was associated with better survival and lower major adverse cardiac and cerebrovascular events.
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Affiliation(s)
- Rodolfo V Rocha
- Division of Cardiovascular Surgery Peter Munk Cardiac Centre University Health NetworkUniversity of Toronto Toronto ON Canada.,Division of Cardiac Surgery Schulich Heart Centre Department of Surgery Sunnybrook Health Sciences Centre University of Toronto Toronto ON Canada
| | - Xuesong Wang
- Division of Cardiac Surgery Schulich Heart Centre Department of Surgery Sunnybrook Health Sciences Centre University of Toronto Toronto ON Canada
| | - Stephen E Fremes
- Institute of Health Policy, Management and Evaluation University of Toronto Toronto ON Canada.,Division of Cardiology Schulich Heart Centre Department of Medicine Sunnybrook Health Sciences CentreUniversity of Toronto Toronto ON Canada
| | - Derrick Y Tam
- Institute of Health Policy, Management and Evaluation University of Toronto Toronto ON Canada.,Division of Cardiology Schulich Heart Centre Department of Medicine Sunnybrook Health Sciences CentreUniversity of Toronto Toronto ON Canada
| | - Dennis T Ko
- Division of Cardiac Surgery Schulich Heart Centre Department of Surgery Sunnybrook Health Sciences Centre University of Toronto Toronto ON Canada.,Division of Cardiology Peter Munk Cardiac Centre University Health NetworkUniversity of Toronto Toronto ON Canada
| | | | - Edward L Hannan
- School of Public Health University at AlbanyState University of New York Albany NY
| | - Peter C Austin
- Division of Cardiac Surgery Schulich Heart Centre Department of Surgery Sunnybrook Health Sciences Centre University of Toronto Toronto ON Canada
| | - Maral Ouzounian
- Division of Cardiovascular Surgery Peter Munk Cardiac Centre University Health NetworkUniversity of Toronto Toronto ON Canada
| | - Douglas S Lee
- Division of Cardiac Surgery Schulich Heart Centre Department of Surgery Sunnybrook Health Sciences Centre University of Toronto Toronto ON Canada.,Division of Cardiology Schulich Heart Centre Department of Medicine Sunnybrook Health Sciences CentreUniversity of Toronto Toronto ON Canada.,Cardiovascular ProgramICES Toronto ON Canada
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Angriman F, Rosella LC, Lawler PR, Ko DT, Wunsch H, Scales DC. Sepsis hospitalization and risk of subsequent cardiovascular events in adults: a population-based matched cohort study. Intensive Care Med 2022; 48:448-457. [PMID: 35142896 DOI: 10.1007/s00134-022-06634-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/21/2022] [Indexed: 12/19/2022]
Abstract
PURPOSE To determine whether surviving a first sepsis hospitalization is associated with long-term cardiovascular events. METHODS Population-based matched cohort study conducted in Ontario, Canada (2008-2017). Adult survivors (older than 18 years) of a first sepsis hospitalization were matched to adult survivors of a non-sepsis hospitalization using hard-matching and propensity score methods. Patients with pre-existing cardiovascular disease were excluded. The primary composite outcome was myocardial infarction, stroke, or cardiovascular death up to 5 years of follow-up. Secondary outcomes included venous thromboembolism and all-cause death. Cox proportional hazards models with robust standard errors were used to estimate the association of sepsis with all outcomes of interest; hazard ratios (HR) and 95% confidence intervals (CI) were calculated. Sensitivity analyses included Fine and Gray models to account for the competing risk of all-cause death and probabilistic bias analyses. RESULTS 254,241 adult sepsis survivors were matched to adult survivors of non-sepsis hospitalization episodes. Sepsis survivors experienced an increased hazard of major cardiovascular events compared to non-sepsis survivors (HR 1.30; 95% CI 1.27-1.32), which was more pronounced in younger patients (HR 1.66; 95% CI 1.36-2.02 for patients aged 40 or younger; HR 1.21; 95% CI 1.18-1.24 for patients older than 80 years). Sepsis survivors also faced an increased hazard of venous thromboembolism (HR 1.61; 95% CI 1.55-1.67) and all-cause death (HR 1.26; 95% CI 1.25-1.27). Sensitivity analyses yielded consistent results. CONCLUSIONS Adult sepsis survivors experience an increased hazard of major cardiovascular events compared to survivors of a non-sepsis hospitalization.
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Affiliation(s)
- Federico Angriman
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada. .,Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. .,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Laura C Rosella
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.,ICES, Toronto, Canada.,Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada.,Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, Toronto, ON, Canada
| | - Patrick R Lawler
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Peter Munk Cardiac Centre, University Health Network, Toronto, Canada
| | - Dennis T Ko
- ICES, Toronto, Canada.,Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Hannah Wunsch
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, Canada
| | - Damon C Scales
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,ICES, Toronto, Canada
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Maxwell CJ, Maclagan LC, Harris DA, Wang X, Guan J, Marrie RA, Hogan DB, Austin PC, Vigod SN, Swartz RH, Bronskill SE. Incidence of neurological and psychiatric comorbidity over time: a population-based cohort study in Ontario, Canada. Age Ageing 2022; 51:6520504. [PMID: 35134841 DOI: 10.1093/ageing/afab277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/14/2021] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Comprehensive, population-based investigations of the extent and temporality of associations between common neurological and psychiatric disorders are scarce. METHODS This retrospective cohort study used linked health administrative data for Ontarians aged 40-85 years on 1 April 2002, to estimate the adjusted rate of incident dementia, Parkinson's disease (PD), stroke or mood/anxiety disorder (over 14 years) according to the presence and time since diagnosis of a prior disorder. Sex differences in the cumulative incidence of a later disorder were also examined. RESULTS The cohort included 5,283,546 Ontarians (mean age 56.2 ± 12.1 years, 52% female). The rate of dementia was significantly higher for those with prior PD (adjusted hazard ratio [adjHR] 4.05, 95% confidence interval [CI] 3.99-4.11); stroke (adjHR 2.49, CI 2.47-2.52) and psychiatric disorder (adjHR 1.79, CI 1.78-1.80). The rate of PD was significantly higher for those with prior dementia (adjHR 2.23, CI 2.17-2.30) and psychiatric disorder (adjHR 1.77, CI 1.74-1.81). The rate of stroke was significantly higher among those with prior dementia (adjHR 1.56, CI 1.53-1.58). Prior dementia (adjHR 2.36, CI 2.33-2.39), PD (adjHR 1.80, CI 1.75-1.85) and stroke (adjHR 1.47, CI 1.45-1.49) were associated with a higher rate of an incident psychiatric disorder. Generally, associations were strongest in the 6 months following a prior diagnosis and demonstrated a J-shape relationship over time. Significant sex differences were evident in the absolute risks for several disorders. CONCLUSIONS The observed nature of bidirectional associations between these neurological and psychiatric disorders indicates opportunities for earlier diagnosis and interventions to improve patient care.
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Affiliation(s)
- Colleen J Maxwell
- Schools of Pharmacy and Public Health, Sciences University of Waterloo, Waterloo, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | - Daniel A Harris
- ICES, Toronto, Ontario, Canada
- Public Health Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - David B Hogan
- Division of Geriatric Medicine, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Simone N Vigod
- ICES, Toronto, Ontario, Canada
- Women’s College Research Institute, Women’s College Hospital, Toronto, Ontario, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Richard H Swartz
- ICES, Toronto, Ontario, Canada
- Department of Medicine (Neurology), Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Susan E Bronskill
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Women’s College Research Institute, Women’s College Hospital, Toronto, Ontario, Canada
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Cusimano MC, Ferguson SE, Moineddin R, Chiu M, Aktar S, Liu N, Baxter NN. Ovarian cancer incidence and death in average-risk women undergoing bilateral salpingo-oophorectomy at benign hysterectomy. Am J Obstet Gynecol 2022; 226:220.e1-220.e26. [PMID: 34563499 DOI: 10.1016/j.ajog.2021.09.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 11/01/2022]
Abstract
BACKGROUND Opportunistic bilateral salpingo-oophorectomy is often offered to patients undergoing benign hysterectomy to prevent ovarian cancer, but the magnitude of risk reduction obtained with bilateral salpingo-oophorectomy in this population remains unclear and must be weighed against potential risks of ovarian hormone deficiency. OBJECTIVE This study aimed to quantify the relative and absolute risk reduction in ovarian cancer incidence and death associated with bilateral salpingo-oophorectomy at the time of benign hysterectomy. STUDY DESIGN We performed a population-based cohort study of all adult women (≥20 years) undergoing benign hysterectomy from 1996 to 2010 in Ontario, Canada. Patients with ovarian pathology, previous breast or gynecologic cancer, or evidence of genetic susceptibility to malignancy were excluded. Inverse probability of treatment-weighted Fine-Gray subdistribution hazard models were used to quantify the effect of bilateral salpingo-oophorectomy on ovarian cancer incidence and death while accounting for competing risks and adjusting for demographic characteristics, gynecologic conditions, and comorbidities. Analyses were performed in all women and specifically in women of postmenopausal age (≥50 years) at the time of hysterectomy. RESULTS We identified 195,282 patients (bilateral salpingo-oophorectomy, 24%; ovarian conservation, 76%) with a median age of 45 years (interquartile range, 40-51 years). Over a median follow-up of 16 years (interquartile range, 12-20 years), 548 patients developed ovarian cancer (0.3%), and 16,170 patients (8.3%) died from any cause. Bilateral salpingo-oophorectomy was associated with decreased ovarian cancer incidence (hazard ratio, 0.23; 95% confidence interval, 0.14-0.38; P<.001) and decreased ovarian cancer death (hazard ratio, 0.30; 95% confidence interval, 0.16-0.57; P<.001). At 20 years follow-up, the weighted cumulative incidences of ovarian cancer were 0.08% and 0.46% with bilateral salpingo-oophorectomy and ovarian conservation, respectively, yielding an absolute risk reduction of 0.38% (95% confidence interval, 0.32-0.45; number needed to treat, 260). After restricting to women aged ≥50 years at hysterectomy, the absolute risk reduction was 0.62% (95% confidence interval, 0.47-0.77; number needed to treat, 161). CONCLUSION Bilateral salpingo-oophorectomy resulted in a significant absolute reduction in ovarian cancer among women undergoing benign hysterectomy. Population-average risk estimates derived in this study should be balanced against other potential implications of bilateral salpingo-oophorectomy to inform practice guidelines, patient decision-making, and surgical management.
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Cusimano MC, Chiu M, Ferguson SE, Moineddin R, Aktar S, Liu N, Baxter NN. Association of bilateral salpingo-oophorectomy with all cause and cause specific mortality: population based cohort study. BMJ 2021; 375:e067528. [PMID: 34880044 PMCID: PMC8653240 DOI: 10.1136/bmj-2021-067528] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To determine if bilateral salpingo-oophorectomy, compared with ovarian conservation, is associated with all cause or cause specific death in women undergoing hysterectomy for non-malignant disease, and to determine how this association varies with age at surgery. DESIGN Population based cohort study. SETTING Ontario, Canada from 1 January 1996 to 31 December 2015, and follow-up to 31 December 2017. PARTICIPANTS 200 549 women (aged 30-70 years) undergoing non-malignant hysterectomy, stratified into premenopausal (<45 years), menopausal transition (45-49 years), early menopausal (50-54 years), and late menopausal (≥55 years) groups according to age at surgery; median follow-up was 12 years (interquartile range 7-17). EXPOSURES Bilateral salpingo-oophorectomy versus ovarian conservation. MAIN OUTCOMES MEASURES The primary outcome was all cause death. Secondary outcomes were non-cancer and cancer death. Within each age group, overlap propensity score weighted survival models were used to examine the association between bilateral salpingo-oophorectomy and mortality outcomes, while adjusting for demographic characteristics, gynaecological conditions, and comorbidities. To account for comparisons in four age groups, P<0.0125 was considered statistically significant. RESULTS Bilateral salpingo-oophorectomy was performed in 19%, 41%, 69%, and 81% of women aged <45, 45-49, 50-54, and ≥55 years, respectively. The procedure was associated with increased rates of all cause death in women aged <45 years (hazard ratio 1.31, 95% confidence interval 1.18 to 1.45, P<0.001; number needed to harm 71 at 20 years) and 45-49 years (1.16, 1.04 to 1.30, P=0.007; 152 at 20 years), but not in women aged 50-54 years (0.83, 0.72 to 0.97, P=0.018) or ≥55 years (0.92, 0.82 to 1.03, P=0.16). Findings in women aged <50 years were driven largely by increased non-cancer death. In secondary analyses identifying a possible change in the association between bilateral salpingo-oophorectomy and all cause death with advancing age at surgery, the hazard ratio gradually decreased during the menopausal transition and remained around 1 at all ages thereafter. CONCLUSION In this observational study, bilateral salpingo-oophorectomy at non-malignant hysterectomy appeared to be associated with increased all cause mortality in women aged <50 years, but not in those aged ≥50 years. While caution is warranted when considering bilateral salpingo-oophorectomy in premenopausal women without indication, this strategy for ovarian cancer risk reduction does not appear to be detrimental to survival in postmenopausal women.
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Affiliation(s)
- Maria C Cusimano
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Maria Chiu
- Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
| | - Sarah E Ferguson
- Department of Obstetrics and Gynecology, University of Toronto, Toronto, ON, Canada
- Division of Gynecologic Oncology, Princess Margaret Cancer Centre/Sinai Health Systems, Toronto, ON, Canada
| | - Rahim Moineddin
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Suriya Aktar
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
| | - Ning Liu
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
| | - Nancy N Baxter
- Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, ON, Canada
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
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Vyas MV, Yu AYX, Chu A, Yu B, Rijal H, Fang J, Austin PC, Kapral MK. Immigration Status and Sex Differences in Primary Cardiovascular Disease Prevention: A Retrospective Study of 5 Million Adults. J Am Heart Assoc 2021; 10:e022635. [PMID: 34726069 PMCID: PMC8751969 DOI: 10.1161/jaha.121.022635] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Background We evaluated whether immigration status modified the association between sex and the quality of primary cardiovascular disease prevention in Ontario, Canada. Methods and Results We used a population‐based administrative database‐derived cohort of community‐dwelling adults (aged ≥40 years) without prior cardiovascular disease residing in Ontario on January 1, 2011. In the preceding 3 years, we evaluated screening for hyperlipidemia and diabetes in those not previously diagnosed; diabetes control (HbA1c <7%); and medication use to control hypertension, hyperlipidemia, or diabetes in those with previous diagnosis. We calculated the absolute prevalence difference (APD) between women and men for each metric stratified by immigration status and then determined the difference‐in‐differences for immigrants compared with long‐term residents. Our sample included 5.3 million adults (19% immigrants), with receipt of each metric ranging from 55% to 90%. Among immigrants, women were more likely than men to be screened for hyperlipidemia (APD, 10.8%; 95% CI, 10.5–11.2) and diabetes (APD, 11.5%; 95% CI, 11.1–11.8) and to be treated with medications for hypertension (APD, 3.5%; 95% CI, 2.4–4.5), diabetes (APD, 2.1%; 95% CI, 0.7–3.6) and hyperlipidemia (APD, 1.8%; 95% CI, 0.5–3.1). Among long‐term residents, findings were similar except poorer medication use for diabetes (APD, −2.8%; 95% CI, −3.4 to −2.2) and hyperlipidemia (APD, −3.5%; 95% CI, −4.0 to −3.0]) in women compared with men. Conclusions The overall quality of primary preventive care can be improved for all adults, and future research should evaluate the impact of observed equal or better care in women than men, irrespective of immigration status, on cardiovascular disease incidence.
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Affiliation(s)
- Manav V Vyas
- Division of Neurology Department of Medicine University of Toronto Canada.,Li Ka Shing Knowledge InstituteSt. Michael's Hospital-Unity Health Toronto Toronto Canada.,ICES Toronto Canada
| | - Amy Y X Yu
- Division of Neurology Department of Medicine University of Toronto Canada.,ICES Toronto Canada
| | | | | | | | | | | | - Moira K Kapral
- ICES Toronto Canada.,Division of General Internal Medicine Department of Medicine University of Toronto Canada
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An KR, de Mestral C, Tam DY, Qiu F, Ouzounian M, Lindsay TF, Wijeysundera HC, Chung JCY. Surveillance Imaging Following Acute Type A Aortic Dissection. J Am Coll Cardiol 2021; 78:1863-1871. [PMID: 34696957 DOI: 10.1016/j.jacc.2021.08.058] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/16/2021] [Accepted: 08/17/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Survivors of acute type A aortic dissection (ATAAD) repair remain at risk for long-term complications. Guidelines recommend postoperative imaging surveillance, but adherence is uncertain. OBJECTIVES The aim of this study was to define the real-world frequency of postoperative imaging and characterize long-term outcomes of ATAAD. METHODS Population-based administrative health databases for Ontario, Canada, were linked to identify patients who underwent ATAAD repair and survived at least 90 days. Guideline-directed imaging surveillance (GDIS) was defined as undergoing a computed tomographic or magnetic resonance imaging scan at 6 and 12 months postoperatively and then annually thereafter. Multivariable time-to-event analysis explored the associations between GDIS and all-cause mortality and reintervention. RESULTS A total of 888 patients who survived urgent ATAAD repair between April 1, 2005, and March 31, 2018, were included. Median follow-up after ATAAD repair was 5.2 years (interquartile range: 2.4-7.9 years). A total of 14% patients received GDIS throughout follow-up. At 6 years, 3.9% of patients had received GDIS. The mortality rate was 4% at 1 year, 14% at 5 years, and 29% at 10 years. Incidence of aortic reintervention was 3% at 1 year, 9% at 5 years, and 17% at 10 years; the majority of these were urgent (68%), and they carried a 9% 30-day mortality rate. Greater adherence to GDIS was associated with mortality (hazard ratio: 1.08; 95% confidence interval: 1.05-1.11) and reintervention (hazard ratio: 1.04; 95% confidence interval: 1.01-1.07). CONCLUSIONS Adherence to GDIS following ATAAD repair is poor, while long-term mortality and reinterventions remain substantial. Further research is needed to determine if guidelines should be modified.
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Affiliation(s)
- Kevin R An
- Division of Cardiac Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada. https://twitter.com/KevinAnMD
| | - Charles de Mestral
- Division of Vascular Surgery, Department of Surgery, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Derrick Y Tam
- Division of Cardiac Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | | | - Maral Ouzounian
- Division of Cardiac Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada. https://twitter.com/OuzounianMD
| | - Thomas F Lindsay
- Division of Vascular Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Harindra C Wijeysundera
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada; Division of Cardiology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada. https://twitter.com/hwijeysundera
| | - Jennifer C-Y Chung
- Division of Cardiac Surgery, Department of Surgery, Peter Munk Cardiac Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
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Yu AY, Lee DS, Vyas MV, Porter J, Rashid M, Fang J, Austin PC, Hill MD, Kapral MK. Emergency Department Visits, Care, and Outcome After Stroke and Myocardial Infarction During the COVID-19 Pandemic Phases. CJC Open 2021; 3:1230-1237. [PMID: 34723166 PMCID: PMC8548659 DOI: 10.1016/j.cjco.2021.06.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 06/02/2021] [Indexed: 12/11/2022] Open
Abstract
Background It is not known if initial reductions in hospitalization for stroke and myocardial infarction early during the coronavirus disease–2019 pandemic were followed by subsequent increases. We describe the rates of emergency department visits for stroke and myocardial infarction through the pandemic phases. Methods We used linked administrative data to compare the weekly age- and sex-standardized rates of visits for stroke and myocardial infarction in Ontario, Canada in the first 9 months of 2020 to the mean baseline rates (2015-2019) using rate ratios (RRs) and 95% confidence intervals (CIs). We compared care and outcomes by pandemic phases (pre-pandemic was January-March, lockdown was March-May, early reopening was May-July, and late reopening was July-September). Results We identified 15,682 visits in 2020 for ischemic stroke (59.2%; n = 9279), intracerebral hemorrhage (12.2%; n = 1912), or myocardial infarction (28.6%; n = 4491). The weekly rates for stroke visits in 2020 were lower during the lockdown and early reopening than at baseline (RR 0.76, 95% CI [0.66, 0.87] for the largest weekly decrease). The weekly rates for myocardial infarction visits were lower during the lockdown only (RR 0.61, 95% CI [0.46, 0.77] for the largest weekly decrease), and there was a compensatory increase in visits following reopening. Ischemic stroke 30-day mortality was increased during the lockdown phase (11.5% pre-coronavirus disease; 12.2% during lockdown; 9.2% during early reopening; and 10.6% during late reopening, P = 0.015). Conclusion After an initial reduction in visits for stroke and myocardial infarction, there was a compensatory increase in visits for myocardial infarction. The death rate after ischemic stroke was higher during the lockdown than in other phases.
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Affiliation(s)
- Amy Y.X. Yu
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Corresponding author: Dr Amy Y.X. Yu, Neurologist, Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Office A-455, 2075 Bayview Ave, Toronto, Ontario M4N 3M5, Canada. Tel.: +1-416-480-4866; fax: +1-416-480-5753.
| | - Douglas S. Lee
- ICES, Toronto, Ontario, Canada
- Department of Medicine (Cardiology), University of Toronto–University Health Network, Toronto, Ontario, Canada
| | - Manav V. Vyas
- Department of Medicine (Neurology), University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | | | | | | | - Michael D. Hill
- Department of Clinical Neurosciences, Community Health Sciences, and Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Moira K. Kapral
- ICES, Toronto, Ontario, Canada
- Department of Medicine (General Internal Medicine), University of Toronto–University Health Network, Toronto, Ontario, Canada
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Vyas MV, Fang J, Austin PC, Laupacis A, Cheung MC, Silver FL, Kapral MK. Importance of accounting for loss to follow-up when comparing mortality between immigrants and long-term residents: a population-based retrospective cohort. BMJ Open 2021; 11:e046377. [PMID: 34728439 PMCID: PMC8565574 DOI: 10.1136/bmjopen-2020-046377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
OBJECTIVES To evaluate the association between immigration status and all-cause mortality in different disease cohorts, and the impact of loss to follow-up on the observed associations. DESIGN Population-based retrospective cohort study using linked administrative health data in Ontario, Canada. SETTING We followed adults with a first-ever diagnosis of ischaemic stroke, cancer or schizophrenia between 2002 and 2013 from index event to death, loss to follow-up, or end of follow-up in 2018. PRIMARY AND SECONDARY OUTCOME MEASURES Our outcomes of interest were all-cause mortality and loss to follow-up. For each disease cohort, we calculated adjusted HRs of death in immigrants compared with long-term residents, adjusting for demographic characteristics and comorbidities, with and without censoring for those who were lost to follow-up. We calculated the ratio of two the HRs and the respective CL using bootstrapping methods. RESULTS Immigrants were more likely to be lost to follow-up than long-term residents in all disease cohorts. Not accounting for this loss to follow-up overestimated the magnitude of the association between immigration status and mortality in those with ischaemic stroke (HR of death before vs after accounting for censoring: 0.78 vs 0.83, ratio=0.95; 95% CL 0.93 to 0.97), cancer (0.74 vs 0.78, ratio=0.96; 0.95 to 0.96), and schizophrenia (0.54 vs 0.56, ratio=0.97; 0.96 to 0.98). CONCLUSIONS Immigrants to Canada have a survival advantage that varies by the disease studied. The magnitude of this advantage is modestly overestimated by not accounting for the higher loss to follow-up in immigrants.
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Affiliation(s)
- Manav V Vyas
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | | | | | - Andreas Laupacis
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Matthew C Cheung
- Division of Haematology & Oncology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Frank L Silver
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Moira K Kapral
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
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McAlister FA, Wang T, Wang X, Chu A, Goodman SG, van Diepen S, Jackevicius CA, Kaul P, Udell J, Ko DT, Kwong JC, Austin PC, Lee DS. Statins and SARS-CoV-2 Infection: Results of a Population-Based Prospective Cohort Study of 469 749 Adults From 2 Canadian Provinces. J Am Heart Assoc 2021; 10:e022330. [PMID: 34689613 PMCID: PMC8751814 DOI: 10.1161/jaha.121.022330] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Background Small observational studies have suggested that statin users have a lower risk of dying with COVID‐19. We tested this hypothesis in a large, population‐based cohort of adults in 2 of Canada’s most populous provinces: Ontario and Alberta. Methods and Results We examined reverse transcriptase–polymerase chain reaction swab positivity rates for SARS‐CoV‐2 in adults using statins compared with nonusers. In patients with SARS‐CoV‐2 infection, we compared 30‐day risk of all‐cause emergency department visit, hospitalization, intensive care unit admission, or death in statin users versus nonusers, adjusting for baseline differences in demographics, clinical comorbidities, and prior health care use, as well as propensity for statin use. Between January and June 2020, 2.4% of 226 142 tested individuals aged 18 to 65 years, 2.7% of 88 387 people aged 66 to 75 years, and 4.1% of 154 950 people older than 75 years had a positive reverse transcriptase–polymerase chain reaction swab for SARS‐CoV‐2. Compared with 353 878 nonusers, the 115 871 statin users were more likely to test positive for SARS‐CoV‐2 (3.6% versus 2.8%, P<0.001), but this difference was not significant after adjustment for baseline differences and propensity for statin use in each age stratum (adjusted odds ratio 1.00 [95% CI, 0.88–1.14], 1.00 [0.91–1.09], and 1.06 [0.82–1.38], respectively). In individuals younger than 75 years with SARS‐CoV‐2 infection, statin users were more likely to visit an emergency department, be hospitalized, be admitted to the intensive care unit, or to die of any cause within 30 days of their positive swab result than nonusers, but none of these associations were significant after multivariable adjustment. In individuals older than 75 years with SARS‐CoV‐2, statin users were more likely to visit an emergency department (28.2% versus 17.9%, adjusted odds ratio 1.41 [1.23–1.61]) or be hospitalized (32.7% versus 21.9%, adjusted odds ratio 1.19 [1.05–1.36]), but were less likely to die (26.9% versus 31.3%, adjusted odds ratio 0.76 [0.67–0.86]) of any cause within 30 days of their positive swab result than nonusers. Conclusions Compared with statin nonusers, patients taking statins exhibit the same risk of testing positive for SARS‐CoV‐2 and those younger than 75 years exhibit similar outcomes within 30 days of a positive test. Patients older than 75 years with a positive SARS‐CoV‐2 test and who were taking statins had more emergency department visits and hospitalizations, but exhibited lower 30‐day all‐cause mortality risk.
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Affiliation(s)
- Finlay A. McAlister
- The Department of MedicineFaculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
- The Alberta Strategy for Patient Oriented Research Support UnitEdmontonCanada
- The Canadian VIGOUR CentreUniversity of AlbertaEdmontonCanada
| | - Ting Wang
- The Alberta Strategy for Patient Oriented Research Support UnitEdmontonCanada
| | - Xuesong Wang
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
| | - Anna Chu
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
| | - Shaun G. Goodman
- The Department of MedicineFaculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
- The Canadian VIGOUR CentreUniversity of AlbertaEdmontonCanada
- University of TorontoCanada
- Division of CardiologySt. Michael’s HospitalTorontoCanada
| | - Sean van Diepen
- The Canadian VIGOUR CentreUniversity of AlbertaEdmontonCanada
- Department of Critical Care MedicineUniversity of AlbertaEdmontonCanada
- Division of CardiologyDepartment of MedicineUniversity of AlbertaEdmontonCanada
| | - Cynthia A. Jackevicius
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
- Western University of Health SciencesPomonaCA
| | - Padma Kaul
- The Department of MedicineFaculty of Medicine and DentistryUniversity of AlbertaEdmontonAlbertaCanada
- The Canadian VIGOUR CentreUniversity of AlbertaEdmontonCanada
| | - Jacob Udell
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
- University Health NetworkTorontoCanada
| | - Dennis T. Ko
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- Schulich Heart ProgramSunnybrook Health Sciences CentreTorontoCanada
| | - Jeffrey C. Kwong
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
- Public Health OntarioTorontoCanada
| | - Peter C. Austin
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
| | - Douglas S. Lee
- ICES (formerly Institute for Clinical Evaluative Sciences)TorontoCanada
- University of TorontoCanada
- University Health NetworkTorontoCanada
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50
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Abdel-Qadir H, Sabrie N, Leong D, Pang A, Austin PC, Prica A, Nanthakumar K, Calvillo-Argüelles O, Lee DS, Thavendiranathan P. Cardiovascular Risk Associated With Ibrutinib Use in Chronic Lymphocytic Leukemia: A Population-Based Cohort Study. J Clin Oncol 2021; 39:3453-3462. [PMID: 34464154 DOI: 10.1200/jco.21.00693] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
PURPOSE Ibrutinib reduces mortality in chronic lymphocytic leukemia (CLL). It increases the risk of atrial fibrillation (AF) and bleeding and there are concerns about heart failure (HF) and central nervous system ischemic events. The magnitude of these risks remains poorly quantified. METHODS Using linked administrative databases, we conducted a population-based cohort study of Ontario patients who were treated for CLL diagnosed between 2007 and 2019. We matched ibrutinib-treated patients with controls treated with chemotherapy but unexposed to ibrutinib on prior AF, age ≥ 66 years, anticoagulant exposure, and propensity for receiving ibrutinib. Study outcomes were AF-related health care contact, hospital-diagnosed bleeding, new diagnoses of HF, and hospitalizations for stroke and acute myocardial infarction (AMI). The cumulative incidence function was used to estimate absolute risks. We used cause-specific regression to study the association of ibrutinib with bleeding rates, while adjusting for anticoagulation as a time-varying covariate. RESULTS We matched 778 pairs of ibrutinib-treated and unexposed patients with CLL (N = 1,556). The 3-year incidence of AF-related health care contact was 22.7% (95% CI, 19.0 to 26.6) in ibrutinib-treated patients and 11.7% (95% CI, 9.0 to 14.8) in controls. The 3-year risk of hospital-diagnosed bleeding was 8.8% (95% CI, 6.5 to 11.7) in ibrutinib-treated patients and 3.1% (95% CI, 1.9 to 4.6) in controls. Ibrutinib-treated patients were more likely to start anticoagulation after the index date. After adjusting for anticoagulation as a time-varying covariate, ibrutinib remained positively associated with bleeding (HR, 2.58; 95% CI, 1.76 to 3.78). The 3-year risk of HF was 7.7% (95% CI, 5.4 to 10.6%) in ibrutinib-treated patients and 3.6% (95% CI, 2.2 to 5.4) in controls. There was no significant difference in the risk of ischemic stroke or AMI. CONCLUSION Ibrutinib is associated with higher risk of AF, bleeding, and HF, but not AMI or stroke.
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Affiliation(s)
- Husam Abdel-Qadir
- Division of Cardiology and Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada.,Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, University Health Network, Toronto, Ontario, Canada.,ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto
| | - Nasruddin Sabrie
- Division of Cardiology and Department of Medicine, Women's College Hospital, Toronto, Ontario, Canada
| | - Darryl Leong
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.,Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Andrea Pang
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada
| | - Peter C Austin
- ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Anca Prica
- Department of Medicine, University of Toronto.,Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Kumaraswamy Nanthakumar
- Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, University Health Network, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto.,The Hull Family Cardiac Fibrillation Management Laboratory, Toronto General Hospital, Toronto, Ontario, Canada
| | - Oscar Calvillo-Argüelles
- Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, University Health Network, Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Douglas S Lee
- Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, University Health Network, Toronto, Ontario, Canada.,ICES (formerly the Institute for Clinical Evaluative Sciences), Toronto, Ontario, Canada.,Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto
| | - Paaladinesh Thavendiranathan
- Division of Cardiology, Ted Rogers Program in Cardiotoxicity Prevention, Peter Munk Cardiac Center, University Health Network, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto
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