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Cho EE, Maclagan LC, Chu A, Croxford R, Sin DD, Udell JA, Lee D, Austin PC, Gershon AS. Impact of COPD on cardiovascular risk factors and outcomes in people with established cardiovascular disease. Thorax 2025; 80:291-299. [PMID: 40032508 DOI: 10.1136/thorax-2023-220991] [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: 09/19/2023] [Accepted: 02/11/2025] [Indexed: 03/05/2025]
Abstract
BACKGROUND Little is known about the association between chronic obstructive pulmonary disease (COPD) and cardiovascular disease (CVD) in people with established CVD. Knowing if COPD is associated with a higher risk of cardiovascular events would guide appropriate secondary prevention. OBJECTIVE To examine the risk of COPD on major adverse cardiac events (MACEs, acute myocardial infarction, stroke and cardiovascular death) in a complete real-world population of a large province, with known CVD. METHODS We conducted a retrospective population cohort study using health administration, medication, laboratory, electronic medical record and other data from Ontario, Canada. All people with a history of CVD with and without physician-diagnosed COPD as of 2008 were followed until 2016 and cardiac risk factors, sociodemographic factors, comorbidities and other factors were compared. Sequential cause-specific hazard models adjusting for these factors determined the risk of MACE in people with COPD. RESULTS Of 496 056 individuals with CVD in Ontario on 1 January 2008, 69 161 (13.9%) had COPD. MACE occurred more frequently among those with CVD (45.3 per 1000 person-years) and COPD compared with those with CVD alone (28.6 per 1000 person-years) (HR 1.24, 95% CI 1.21-1.26) after adjustment for cardiac risk factors, comorbidities, socioeconomic status and other factors. People with COPD were less likely to receive preventive CVD medications or see a cardiologist. CONCLUSION In a large, real-world population of people with established CVD, COPD was associated with a higher rate of cardiovascular events but a lower rate of preventive therapy. Strategies are needed to improve secondary CVD prevention in the COPD population.
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Affiliation(s)
- Eunice Eunae Cho
- Department of Medicine, Division of Respirology, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Scarborough Health Network, Toronto, Ontario, Canada
| | | | | | | | - Don D Sin
- Department of Medicine, Division of Respirology, The University of British Columbia Centre for Heart Lung Innovation, Vancouver, British Columbia, Canada
| | - Jacob A Udell
- ICES, Toronto, Ontario, Canada
- Women's College Hospital, Toronto, Ontario, Canada
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
| | - Douglas Lee
- ICES, Toronto, Ontario, Canada
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Peter C Austin
- ICES, Toronto, Ontario, Canada
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
| | - Andrea S Gershon
- Department of Medicine, Division of Respirology, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- University of Toronto Institute of Health Policy Management and Evaluation, Toronto, Ontario, Canada
- Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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Mahmood B, Li G, Li J, Wilton J, Tang TS, Velásquez García HA, Wong S, Jain AB, Naveed Z, Garg A, Nandra A, Janjua NZ, McKee G. Impact of the COVID-19 Pandemic and Control Measures on Screening and Diagnoses of Type 2 Diabetes in British Columbia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2025; 22:519. [PMID: 40283745 PMCID: PMC12026491 DOI: 10.3390/ijerph22040519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2024] [Revised: 02/28/2025] [Accepted: 03/18/2025] [Indexed: 04/29/2025]
Abstract
INTRODUCTION In British Columbia (BC), Canada, COVID-19 and associated control measures impacted routine care for patients with diabetes. Some of these measures may have impacted timely screening and diagnosis of type 2 diabetes. We assessed the impact of control measures on screening and diagnosis of type 2 diabetes in BC. METHODS We used data from the BC COVID-19 Cohort, which includes COVID-19 and healthcare administrative data on all residents of BC. We assessed and compared screening (≥40 yrs) and diagnosis (≥18 yrs) of diabetes among the adult population during the pandemic period (1 April 2020-31 December 2022), with 1 January 2016-31 March 2020 used as a historical reference period. We used interrupted time series with generalized additive models to evaluate the impact of policy measures on screening and diagnoses trends. RESULTS We observed an initial decline in the mean number of screenings and diagnoses. In the third post-policy phase (January 2022-December 2022), there was a 4.8% (-5.1, 15.4) increase in screenings while after an initial reduction in diabetes diagnoses, we observed a significant increase of 31.6% (17.8, 46.6) in the third post-policy phase. Further stratification by age and sex showed the entire increase in diagnoses trends was driven by younger females with a 56.4% (25.1, 92.9) and 58.7% (38.2, 81.3) increment in diagnoses in the 18-29 and 40-49 age groups, respectively. CONCLUSIONS The initial reduced number of screenings and diagnoses followed by the significant upward trend in diabetes diagnoses in the later post-policy phase have important clinical and public health implications. Further research is needed to understand the post-pandemic increase in diabetes among females.
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Affiliation(s)
- Bushra Mahmood
- Division of Endocrinology, Department of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - Gordon Li
- Provincial Health Services Authority, Vancouver, BC V6H 4C1, Canada;
| | - Julia Li
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - James Wilton
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - Tricia S. Tang
- Division of Endocrinology, Department of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada;
| | - Héctor Alexander Velásquez García
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - Stanley Wong
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - Akshay B. Jain
- TLC Diabetes and Endocrinology, Surrey, BC V3T 0P8, Canada;
| | - Zaeema Naveed
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
| | - Arun Garg
- Fraser Health, Surrey, BC V3T 0H1, Canada;
| | | | - Naveed Zafar Janjua
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
- Center for Health Evaluation and Outcome Sciences (CHEOS), St. Paul’s Hospital, Vancouver, BC V6Z 1Y6, Canada
| | - Geoffrey McKee
- British Columbia Center for Disease Control (BCCDC), Vancouver, BC V5Z 4R4, Canada; (J.L.); (J.W.); (H.A.V.G.); (S.W.); (Z.N.); (G.M.)
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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Garcia D, Ruffolo A, Mooradally AW, Zhou A, Lazaridis E, Laurelli B. Budget impact analyses of hemoglobin A1c and lipid panel point-of-care testing with Afinion™ 2 in Canada and Italy. J Comp Eff Res 2025; 14:e240208. [PMID: 39878684 PMCID: PMC11864078 DOI: 10.57264/cer-2024-0208] [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: 11/14/2024] [Accepted: 12/20/2024] [Indexed: 01/31/2025] Open
Abstract
Aim: Screening and monitoring of diabetes or dyslipidemia frequently involves a multi-step process requiring patients to obtain test requisitions from their primary care physician (PCP), followed by a laboratory visit and re-consultation. Point-of-care testing (POCT) for hemoglobin A1c (HbA1c) and lipid panel can streamline the patient care pathway. This study assessed the budget impact of introducing Afinion™ 2 POCT (Abbott Rapid Diagnostics) from the Canadian and Italian societal perspectives. Methods: Budget impact models were developed for Canada and Italy over a 5-year time horizon (2025 to 2029). The analyses considered the screening and monitoring of diabetes or dyslipidemia for patients utilizing the public healthcare system and attending primary care, and included direct costs (testing, consultations) and indirect costs (productivity loss, transportation) based on published sources. The budget impact (BI) was calculated by comparing scenarios with and without POCT. All costs were adjusted to Canadian dollars ($) or 2024 Euros (€). Scenario analyses were conducted to explore the impact of alternative assumptions. Results: The 5-year cumulative BI was -$758,006,692 (-$50,709,964 direct, -$707,296,728 indirect) for HbA1c POCT and -$726,452,755 ($2,684,011 direct, -$729,136,766 indirect) for lipid panel POCT in Canada and -€1,380,658,764 (-€6,391,954 direct, -€1,374,266,809 indirect) for HbA1c POCT and -€851,792,115 (€55,962,879 direct, -€907,754,993 indirect) for lipid panel POCT in Italy. In both countries, cost savings for both the healthcare payer and patients were observed for HbA1c POCT, while costs savings were derived from patient indirect costs for lipid panel POCT. The analyses estimated that 1,558,062 and 1,501,260 PCP consultations in Canada, 4,962,338 and 1,951,026 PCP consultations in Italy were avoided with implementation of POCT for HbA1c and lipid panel, respectively. Scenario analyses demonstrated potential further cost savings with implementation of POCT in pharmacies. Conclusion: This study demonstrates that the adoption of Afinion 2 POCT for HbA1c and lipid panel can provide efficiencies to different types of healthcare systems through reducing PCP consultations, saving time and money for patients and providing cost savings for payers.
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Affiliation(s)
- David Garcia
- EVERSANA, 3228 South Service Road, Burlington, Ontario, Canada, L7N 3H8
| | - Antonio Ruffolo
- Abbott Rapid Diagnostics, 30 Schanzenstr, Köln, Germany, 51063
| | | | - Anna Zhou
- EVERSANA, 3228 South Service Road, Burlington, Ontario, Canada, L7N 3H8
| | - Emmanuel Lazaridis
- Abbott Rapid Diagnostics, 185 Corkstown Road, Ottawa, Ontario, Canada, K2H 8V4
| | - Barbara Laurelli
- Abbott Rapid Diagnostics, 110 Viale Thomas Alva Edison, Sesto San Giovanni, MI, Italy, 2009
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Agarwal G, Keshavarz H, Angeles R, Pirrie M, Marzanek F, Nguyen F, Brar J, Paterson JM. Chronic disease prevalence and preventive care among Ontario social housing residents compared with the general population: a population-based cohort study. J Epidemiol Community Health 2025:jech-2024-222762. [PMID: 39875180 DOI: 10.1136/jech-2024-222762] [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: 07/15/2024] [Accepted: 12/15/2024] [Indexed: 01/30/2025]
Abstract
BACKGROUND Older adults living in social housing report poor health and access to healthcare services. This study aimed to estimate the prevalence of chronic diseases, influenza vaccination and cancer screenings among social housing residents versus non-residents in Ontario, Canada. METHODS We conducted a population-based cohort study for all health-insured Ontarians alive and aged 40 or older as of 1 January 2020. Social housing residents were identified using postal codes. Validated health administrative data case definitions were used to identify individuals with diabetes, hypertension, chronic obstructive pulmonary disease, asthma, congestive heart failure and cardiovascular disease. Influenza vaccination and mammography, Pap and colorectal cancer screenings were identified among screen-eligible residents using health administrative data. RESULTS The prevalence of all chronic diseases was higher among social housing residents across all age groups: 40-59, 60-79 and 80+ years. Influenza vaccination rates in 2018-2019 were lower among social housing residents aged 60-79 and 80+ years. Mammography rates for women aged 50-69 years in 2018-2019 were 10-11% lower among social housing residents across all age groups compared with non-residents. Pap screening rates for women aged 40-69 in 2018-2019 were 6-8% lower among social housing residents. The percentage of colorectal screening in both women and men aged 52-74 was lower (9-10% in men and 6-7% in women) in social housing compared with the general population in 2019-2020. CONCLUSION There is a higher prevalence of chronic diseases and lower cancer screening rates among the growing population of older adults in social housing in Ontario, Canada.
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Affiliation(s)
- Gina Agarwal
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Homa Keshavarz
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Ricardo Angeles
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Melissa Pirrie
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Francine Marzanek
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | | | - Jasdeep Brar
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | - J Michael Paterson
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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Jin Z, Rothwell J, Lim KK. Screening for Type 2 Diabetes Mellitus: A Systematic Review of Recent Economic Evaluations. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2025:S1098-3015(25)00019-1. [PMID: 39880196 DOI: 10.1016/j.jval.2025.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 01/05/2025] [Accepted: 01/08/2025] [Indexed: 01/31/2025]
Abstract
OBJECTIVES To examine recent economic evaluations and understand whether any type 2 diabetes mellitus (T2DM) screening designs may represent better value for money and to rate their methodological qualities. METHODS We systematically searched 3 concepts (economic evaluations [EEs], T2DM, screening) in 5 databases (Medline, Embase, EconLit, Web of Science, and Cochrane) for EEs published between 2010 and 2023. Two independent reviewers screened for and rated their methodological quality (using the Consensus on Health Economics Criteria Checklist-Extended). RESULTS Of 32 EEs, a majority were from high-income countries (69%). Half used single biomarkers (50%) to screen adults ≥30 to <60 years old (60%) but did not report locations (69%), treatments for those diagnosed (66%), diagnostic methods (57%), or screening intervals (54%). Compared with no screening, T2DM screening using single biomarkers was found to be not cost-effective (23/54 comparisons), inconclusive (16/54), dominant (11/54), or cost-effective (4/54). Compared with no screening, screening with a risk score and single biomarkers was found to be cost-effective (21/40) or dominant (19/40). The risk score alone was mostly dominant (6/10). Compared with universal screening, targeted screening among obese, overweight, or older people may be cost-effective or dominant. Compared with fasting plasma glucose or fasting capillary glucose, screening using risk scores was found to be mostly dominant or cost-effective. Expanding screening locations or lowering HbA1c or fasting plasma glucose thresholds was found to be dominant or cost-effective. Each EE had 4 to 17 items (median 13/20) on Consensus on Health Economics Criteria Checklist-Extended rated "Yes/Rather Yes." CONCLUSIONS EE findings varied based on screening tools, intervals, locations, minimum screening age, diagnostic methods, and treatment. Future EEs should more comprehensively report screening designs and evaluate T2DM screening in low-income countries.
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Affiliation(s)
- Zixuan Jin
- School of Life Course & Population Sciences, Faculty of Life Sciences and Medicine/MPH Graduate, King's College London, London, England, UK
| | - Joshua Rothwell
- GKT School of Medical Education, Faculty of Life Sciences & Medicine/MBBS Student, King's College London, London, England, UK; Department of Radiology, School of Clinical Medicine/PhD Student, University of Cambridge, Cambridge, England, UK
| | - Ka Keat Lim
- Health Economics and Policy Research Unit, Wolfson Institute of Population Health/Lecturer in Health Economics, Queen Mary University of London, London, England, UK; School of Life Course & Population Sciences, Faculty of Life Sciences and Medicine/Visiting Lecturer, King's College London, London, England, UK.
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6
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Rong J, Ho M, Zhou D, Chau PH. Responses to lifestyle interventions among individuals with distinct pre-diabetes phenotypes: A systematic review and Meta-Analysis. Diabetes Res Clin Pract 2025; 219:111939. [PMID: 39643008 DOI: 10.1016/j.diabres.2024.111939] [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: 10/29/2024] [Revised: 11/20/2024] [Accepted: 11/25/2024] [Indexed: 12/09/2024]
Abstract
AIMS To assess responses to lifestyle interventions (LIs) among individuals with distinct pre-diabetes phenotypes (isolated impaired fasting glucose [i-IFG], isolated impaired glucose tolerance [i-IGT], and combined IFG + IGT) for reducing diabetes incidence, reversing pre-diabetes, and improving glycemic control and insulin sensitivity. METHODS PubMed, Embase, Cochrane Library, and Web of Science were searched until December 6th, 2023. We included randomized controlled trials examining responses to LIs (including diet and/or physical activity) among adults with i-IFG, i-IGT, and IFG + IGT. Outcomes included diabetes incidence, normoglycemia incidence, fasting plasma glucose (FPG), 2-hour plasma glucose (2 h-PG), hemoglobin A1c, fasting insulin (FI), and homeostasis model assessment-insulin resistance (HOMA-IR). Random-effects meta-analyses were performed to estimate risk ratios (RRs) and mean differences. RESULTS Twenty-seven studies were included. Meta-analysis of 10 studies that performed stratified analyses by pre-diabetes phenotype found that LIs significantly reduced diabetes incidence in i-IGT (RR = 0.69 [0.56; 0.85], I2 = 14 %) and IFG + IGT (RR = 0.56 [0.48; 0.66], I2 = 0 %) but not in i-IFG (RR = 0.85 [0.66; 1.11], I2 = 0 %; psubgroup = 0.02). Meta-analysis of 20 studies using IGT for participant recruitment showed that LIs significantly decreased diabetes incidence, increased normoglycemia incidence, and improved FPG, 2 h-PG, FI and HOMA-IR. CONCLUSIONS LIs are effective for IGT (with or without IFG), but tailored LIs are needed for i-IFG to prevent diabetes.
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Affiliation(s)
- Jincheng Rong
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Mandy Ho
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Disheng Zhou
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Pui Hing Chau
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
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7
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Sriskandarajah A, Metcalfe A, Nerenberg KA, Butalia S. Lower achievement of guideline recommended care in Canadian adults with early-onset diabetes: A population-based cohort study. Diabetes Res Clin Pract 2024; 213:111756. [PMID: 38925295 DOI: 10.1016/j.diabres.2024.111756] [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: 05/13/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 06/28/2024]
Abstract
AIMS Adults with early-onset diabetes (age < 40 years) have an increased risk of complications, and it is unclear whether they are receiving guideline recommended care. We compared the frequency and results of haemoglobin A1c (HbA1c) testing in adults with early-onset and usual-onset diabetes and assessed factors related to guideline concordance. METHODS Population-level databases from Alberta, Canada (∼4.5 million) were used to identify adults with incident diabetes. The cohort was stratified by age at diagnosis (< 40 vs. ≥ 40 years) and then followed for 365 days for HbA1c testing. Adjusted multivariable analyses were used to identify clinical and sociodemographic factors associated with guideline concordance. RESULTS Among 23,643 adults with incident diabetes (mean age 54.1 ± 15.4 years; 42.1 % female), 18.9 % had early-onset diabetes. Early-onset diabetes was associated with lower frequency of testing (adjusted odds ratio (aOR), 0.80; 95 % CI 0.70-0.90) and above target glycaemic levels compared to usual-onset diabetes (aOR, 1.45; 95 % CI 1.29-1.64). Factors associated with guideline concordant frequency of HbA1c testing were rural residence and insulin use. CONCLUSIONS In our universal care setting with premium-free health care, early-onset diabetes was associated with lower rates of HbA1c testing and sub-optimal glycaemic control compared to those with usual-onset diabetes.
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Affiliation(s)
- Apishanthi Sriskandarajah
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | - Amy Metcalfe
- Department of Obstetrics and Gynecology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, Calgary, University of Calgary, Alberta, Canada.
| | - Kara A Nerenberg
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, Calgary, University of Calgary, Alberta, Canada.
| | - Sonia Butalia
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, Cumming School of Medicine, Calgary, University of Calgary, Alberta, Canada; Division of Endocrinology and Metabolism, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 PMCID: PMC11307112 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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9
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Takahashi K, Uenishi N, Sanui M, Uchino S, Yonezawa N, Takei T, Nishioka N, Kobayashi H, Otaka S, Yamamoto K, Yasuda H, Kosaka S, Tokunaga H, Fujiwara N, Kondo T, Ishida T, Komatsu T, Endo K, Moriyama T, Oyasu T, Hayakawa M, Hoshino A, Matsuyama T, Miyamoto Y, Yanagisawa A, Wakabayashi T, Ueda T, Komuro T, Sugimoto T, Sasabuchi Y. High versus low chloride load in adult hyperglycemic emergencies with acute kidney injury: a multicenter retrospective cohort study. Intern Emerg Med 2024; 19:959-970. [PMID: 38488997 DOI: 10.1007/s11739-024-03556-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 02/04/2024] [Indexed: 03/17/2024]
Abstract
Hyperglycemic emergencies frequently lead to acute kidney injury (AKI) and require treatment with large amount of intravenous fluids. However, the effects of chloride loading on this population have not yet been investigated. We conducted a multicenter, retrospective, cohort study in 21 acute-care hospitals in Japan. The study included hospitalized adult patients with diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic syndrome (HHS) who had AKI upon arrival. The patients were classified into high and low chloride groups based on the amount of chloride administered within the first 48 h of their arrival. The primary outcome was recovery from AKI; secondary outcome was major adverse kidney events within 30 days (MAKE30), including mortality and prolonged renal failure. A total of 390 patients with AKI, including 268 (69%) with DKA and 122 (31%) with HHS, were included in the study. Using the criteria of Kidney Disease Improving Global Outcomes, the severity of AKI in the patients was Stage 1 (n = 159, 41%), Stage 2 (n = 121, 31%), and Stage 3 (n = 110, 28%). The analysis showed no significant difference between the two groups in recovery from AKI (adjusted hazard ratio, 0.96; 95% CI 0.72-1.28; P = 0.78) and in MAKE30 (adjusted odds ratio, 0.91; 95% CI 0.45-1.76; P = 0.80). Chloride loading with fluid administration had no significant impact on recovery from AKI in patients with hyperglycemic emergencies.Trial Registration This study was registered in the UMIN clinical trial registration system (UMIN000025393, registered December 23, 2016).
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Affiliation(s)
- Kyosuke Takahashi
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanumacho, Omiya-ku, Saitama City, Saitama Prefecture, 330-0834, Japan.
- Department of Anesthesiology and Critical Care Medicine, Kawasaki Municipal Hospital, Kawasaki, Kanagawa, Japan.
| | - Norimichi Uenishi
- Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanumacho, Omiya-ku, Saitama City, Saitama Prefecture, 330-0834, Japan
| | - Shigehiko Uchino
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanumacho, Omiya-ku, Saitama City, Saitama Prefecture, 330-0834, Japan
| | - Naoki Yonezawa
- Department of Emergency and Critical Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama, Kanagawa, Japan
| | - Tetsuhiro Takei
- Department of Emergency and Critical Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama, Kanagawa, Japan
| | - Norihiro Nishioka
- Department of Preventive Services, Kyoto University Graduate School of Medicine, Sakyo, Kyoto, Japan
- Division of Nephrology, Department of Internal Medicine, Okinawa Prefectural Chubu Hospital, Uruma, Okinawa, Japan
| | - Hirotada Kobayashi
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Department of Intensive Care Medicine, Kameda Medical Center, Kamogawa, Chiba, Japan
| | - Shunichi Otaka
- Department of Emergency Medicine, International University of Health and Welfare Narita Hospital, Narita, Chiba, Japan
- Department of Emergency Medicine, Kumamoto Red Cross Hospital, Higashi, Kumamoto, Japan
| | - Kotaro Yamamoto
- Department of Emergency Medicine, Musashino Red Cross Hospital, Musashino, Tokyo, Japan
| | - Hideto Yasuda
- Department of Emergency Medicine, Musashino Red Cross Hospital, Musashino, Tokyo, Japan
- Department of Emergency Medicine, Jichi Medical University Saitama Medical Center, Omiya, Saitama, Japan
| | - Shintaro Kosaka
- Department of Medicine, Nerima Hikarigaoka Hospital, Nerima, Tokyo, Japan
| | - Hidehiko Tokunaga
- Department of Medicine, Nerima Hikarigaoka Hospital, Nerima, Tokyo, Japan
| | - Naoki Fujiwara
- Department of Medicine, Nerima Hikarigaoka Hospital, Nerima, Tokyo, Japan
- Department of Medicine, Taito Municipal Taito Hospital, Taito, Tokyo, Japan
| | - Takashiro Kondo
- Department of Emergency and Critical Care Medicine, National Hospital Organization Nagoya Medical Center, Nagoya, Aichi, Japan
| | - Tomoki Ishida
- Nanohana Clinic, Ikuno, Osaka, Japan
- Department of Emergency Medicine, Yodogawa Christian Hospital, Higashi Yodogawa, Osaka, Japan
| | - Takayuki Komatsu
- Department of Sports Medicine, Faculty of Medicine, Juntendo University, Bunkyo, Tokyo, Japan
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Nerima, Tokyo, Japan
| | - Koji Endo
- Department of Pharmacoepidemiology, Graduate School of Medicine and Public Health, Kyoto University, Sakyo, Kyoto, Japan
- Department of General Internal Medicine, Tottori Prefectural Central Hospital, Tottori, Tottori, Japan
| | - Taiki Moriyama
- Department of Emergency Medicine, Hyogo Emergency Medical Center, Kobe, Hyogo, Japan
- Department of Emergency Medicine, Saiseikai Senri Hospital, Suita, Osaka, Japan
| | - Takayoshi Oyasu
- Department of Emergency Medicine, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Mineji Hayakawa
- Department of Emergency Medicine, Hokkaido University Hospital, Sapporo, Hokkaido, Japan
| | - Atsumi Hoshino
- Department of Critical Care Medicine, Kurashiki Central Hospital, Kurashiki, Okayama, Japan
- Department of Emergency and Critical Care Medicine, Toyooka Public Hospital, Toyooka, Hyogo, Japan
| | - Tasuku Matsuyama
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kamigyo, Kyoto, Japan
| | - Yuki Miyamoto
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kamigyo, Kyoto, Japan
| | - Akihiro Yanagisawa
- Department of Anesthesia, Gyoda General Hospital, Gyoda, Saitama, Japan
- Department of Anesthesiology and Intensive Care, Gunma University Hospital, Maebashi, Gunma, Japan
| | - Tadamasa Wakabayashi
- Department of Medicine, Suwa Central Hospital, Chino, Nagano, Japan
- Department of Cardiology, Suwa Central Hospital, Chino, Nagano, Japan
| | - Takeshi Ueda
- Department of Emergency and General Internal Medicine, Rakuwakai Marutamachi Hospital, Nakagyo, Kyoto, Japan
| | - Tetsuya Komuro
- Department of Medicine, TMG Muneoka Central Hospital, Shiki, Saitama, Japan
- Department of Critical Care, Shonan Kamakura General Hospital, Kamakura, Kanagawa, Japan
| | - Toshiro Sugimoto
- Department of Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
- Department of Medicine, National Hospital Organization Higashiohmi General Medical Center, Higashiohmi, Shiga, Japan
| | - Yusuke Sasabuchi
- Department of Real-World Evidence, Graduate School of Medicine, The University of Tokyo, Bunkyo City, Tokyo, Japan
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10
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Butalia S, Chu LM, Dover DC, Lau D, Yeung RO, Eurich DT, Senior P, Kaul P. Association Between Hemoglobin A1c and Development of Cardiovascular Disease in Canadian Men and Women Without Diabetes at Baseline: A Population-Based Study of 608 474 Adults. J Am Heart Assoc 2024; 13:e031095. [PMID: 38639364 PMCID: PMC11179919 DOI: 10.1161/jaha.123.031095] [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: 08/25/2023] [Accepted: 02/28/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND We examined the association between hemoglobin A1c (HbA1c) and the development of cardiovascular disease (CVD) in men and women, without diabetes or CVD at baseline. METHODS AND RESULTS This retrospective cohort study included adults aged 40 to <80 years in Alberta, Canada. Men and women were divided into categories based on a random HbA1c during a 3-year enrollment period. The primary outcome of CVD hospitalization and secondary outcome of combined CVD hospitalization/mortality were examined during a 5-year follow-up period until March 31, 2021. A total of 608 474 individuals (55.2% women) were included. Compared with HbA1c 5.0% to 5.4%, men with HbA1c of 5.5% to 5.9% had an increased risk of CVD hospitalization (adjusted hazard ratio [aHR], 1.12 [95% CI, 1.07-1.19]) whereas women did not (aHR, 1.01 [95% CI, 0.95-1.08]). Men and women with HbA1c of 6.0% to 6.4% had a 38% and 17% higher risk and men and women with HbA1c ≥6.5% had a 79% and 51% higher risk of CVD hospitalization, respectively. In addition, HbA1c of 6.0% to 6.4% and HbA1c ≥6.5% were associated with a higher risk (14% and 41%, respectively) of CVD hospitalization/death in men, but HbA1c ≥6.5% was associated with a 24% higher risk only among women. CONCLUSIONS In both men and women, HbA1c ≥6.0% was associated with an increased risk of CVD and mortality outcomes. The association between CVD and HbA1c levels of 5.5% to 5.9%, considered to be in the "normal" range, highlights the importance of optimizing cardiovascular risk profiles at all levels of glycemia, especially in men.
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Affiliation(s)
- Sonia Butalia
- Division of Endocrinology and Metabolism, Department of Medicine, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- Department of Medicine and Community Health Sciences, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
- O’Brien Institute for Public Health, Cumming School of Medicine, CalgaryUniversity of CalgaryCalgaryAlbertaCanada
- Libin Cardiovascular Institute, Cumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Luan Manh Chu
- Provincial Research Data ServicesAlberta Health ServicesEdmontonAlbertaCanada
| | - Douglas C. Dover
- Canadian VIGOUR CentreUniversity of AlbertaEdmontonAlbertaCanada
| | - Darren Lau
- Department of Medicine, Faculty of Medicine & DentistryUniversity of AlbertaEdmontonAlbertaCanada
- Alberta Diabetes Institute, University of AlbertaEdmontonAlbertaCanada
| | - Roseanne O. Yeung
- Department of Medicine, Faculty of Medicine & DentistryUniversity of AlbertaEdmontonAlbertaCanada
- Alberta Diabetes Institute, University of AlbertaEdmontonAlbertaCanada
- School of Public HealthUniversity of AlbertaEdmontonAlbertaCanada
| | - Dean T. Eurich
- Alberta Diabetes Institute, University of AlbertaEdmontonAlbertaCanada
- School of Public HealthUniversity of AlbertaEdmontonAlbertaCanada
| | - Peter Senior
- Department of Medicine, Faculty of Medicine & DentistryUniversity of AlbertaEdmontonAlbertaCanada
- Alberta Diabetes Institute, University of AlbertaEdmontonAlbertaCanada
| | - Padma Kaul
- Canadian VIGOUR CentreUniversity of AlbertaEdmontonAlbertaCanada
- Department of Medicine, Faculty of Medicine & DentistryUniversity of AlbertaEdmontonAlbertaCanada
- Alberta Diabetes Institute, University of AlbertaEdmontonAlbertaCanada
- School of Public HealthUniversity of AlbertaEdmontonAlbertaCanada
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11
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Moore-Vasram S, Sawhney M, Houlden RL, Groome PA, Goldie C, Li W, Hay AE, Tranmer J. Determining the Associations Between Glucocorticoid Use During Hematologic Chemotherapy Treatment and New-onset Diabetes and Hyperglycemia and Mortality: A Population-based Cohort Study. Can J Diabetes 2024; 48:195-203.e1. [PMID: 38211830 DOI: 10.1016/j.jcjd.2024.01.001] [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: 02/27/2023] [Revised: 08/09/2023] [Accepted: 01/04/2024] [Indexed: 01/13/2024]
Abstract
OBJECTIVES The aim of this study was to determine the associations between glucocorticoid administration during chemotherapy for hematologic malignancy and hyperglycemia, new-onset diabetes, and mortality in Ontario, Canada. Hospitalization and emergency room utilization during the chemotherapy treatment period were also described. METHODS We conducted a retrospective cohort study using health administrative data from ICES, Ontario, to assess risk of new-onset diabetes, new-onset hyperglycemia, and hyperglycemia for individuals with leukemia, non-Hodgkin lymphoma (NHL), and Hodgkin lymphoma (HL) receiving glucocorticoids during chemotherapy between 2006 and 2016. Using multivariable regression models, we determined the associations between glucocorticoid exposure and our outcomes of interest, controlling for age, sex, marginalization, and comorbidities. RESULTS Our cohort included 19,530 individuals; 71.1% (n=13,893) received a glucocorticoid. The highest proportion of hyperglycemia occurred with leukemia (25.4%, n=1,301). Of the 15,580 individuals with no history of diabetes, those with leukemia had the highest rate of new-onset diabetes (7.1%, n=279) and new-onset hyperglycemia (18.1%, n=641), and glucocorticoid exposure increased the risk of new-onset diabetes (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.01 to 1.64, p=0.04) and new-onset hyperglycemia (HR 1.28, 95% CI 1.09 to 1.5, p=0.003). Hyperglycemia during chemotherapy increased the risk of all-cause mortality for the combined (HR 1.18, 95% CI 1.09 to 1.27, p<0.0001) and NHL (HR 1.16, 95% CI 1.04 to 1.28, p=0.007) cohorts. CONCLUSIONS Hyperglycemia is common during hematologic chemotherapy treatment and is associated with a modest increased risk of all-cause mortality. Routine screening, monitoring, and management of hyperglycemia should be an integral part of treatment plans for leukemia, NHL, or HL, with or without glucocorticoid administration.
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Affiliation(s)
| | - Monakshi Sawhney
- School of Nursing, Queen's University, Kingston, Ontario, Canada
| | - Robyn L Houlden
- Division of Endocrinology and Metabolism, Queen's University, Kingston Health Sciences Centre, Kingston, Ontario, Canada
| | - Patti A Groome
- Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada; ICES, formerly the Institute for Clinical Evaluative Sciences, Queen's University Site, Kingston, Ontario, Canada
| | - Catherine Goldie
- School of Nursing, Queen's University, Kingston, Ontario, Canada
| | - Wenbin Li
- ICES, formerly the Institute for Clinical Evaluative Sciences, Queen's University Site, Kingston, Ontario, Canada
| | - Annette E Hay
- Division of Hematology, Queen's University, Kingston, Ontario, Canada
| | - Joan Tranmer
- School of Nursing, Queen's University, Kingston, Ontario, Canada; ICES, formerly the Institute for Clinical Evaluative Sciences, Queen's University Site, Kingston, Ontario, Canada
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12
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Kim J, Yang HL, Kim SH, Kim S, Lee J, Ryu J, Kim K, Kim Z, Ahn G, Kwon D, Yoon HJ. Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study. EClinicalMedicine 2024; 68:102445. [PMID: 38333540 PMCID: PMC10850404 DOI: 10.1016/j.eclinm.2024.102445] [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] [Received: 09/06/2023] [Revised: 12/22/2023] [Accepted: 01/12/2024] [Indexed: 02/10/2024] Open
Abstract
Background Diabetes is a major public health concern. We aimed to evaluate the long-term risk of incident type 2 diabetes in a non-diabetic population using a deep learning model (DLM) detecting prevalent type 2 diabetes using electrocardiogram (ECG). Methods In this retrospective study, participants who underwent health checkups at two tertiary hospitals in Seoul, South Korea, between Jan 1, 2001 and Dec 31, 2022 were included. Type 2 diabetes was defined as glucose ≥126 mg/dL or glycated haemoglobin (HbA1c) ≥ 6.5%. For survival analysis on incident type 2 diabetes, we introduced an additional variable, diabetic ECG, which is determined by the DLM trained on ECG and corresponding prevalent diabetes. It was assumed that non-diabetic individuals with diabetic ECG had a higher risk of incident type 2 diabetes than those with non-diabetic ECG. The one-dimensional ResNet-based model was adopted for the DLM, and the Guided Grad-CAM was used to localise important regions of ECG. We divided the non-diabetic group into the diabetic ECG group (false positive) and the non-diabetic ECG (true negative) group according to the DLM decision, and performed a Cox proportional hazard model, considering the occurrence of type 2 diabetes more than six months after the visit. Findings 190,581 individuals were included in the study with a median follow-up period of 11.84 years. The areas under the receiver operating characteristic curve for prevalent type 2 diabetes detection were 0.816 (0.807-0.825) and 0.762 (0.754-0.770) for the internal and external validations, respectively. The model primarily focused on the QRS duration and, occasionally, P or T waves. The diabetic ECG group exhibited an increased risk of incident type 2 diabetes compared with the non-diabetic ECG group, with hazard ratios of 2.15 (1.82-2.53) and 1.92 (1.74-2.11) for internal and external validation, respectively. Interpretation In the non-diabetic group, those whose ECG was classified as diabetes by the DLM were at a higher risk of incident type 2 diabetes than those whose ECG was not. Additional clinical research on the relationship between the phenotype of ECG and diabetes to support the results and further investigation with tracked data and various ECG recording systems are suggested for future works. Funding National Research Foundation of Korea.
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Affiliation(s)
- Junmo Kim
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
| | - Hyun-Lim Yang
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Su Hwan Kim
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Information Statistics, Gyeongsang National University, Jinju, Gyeongsangnam-do, Republic of Korea
| | - Siun Kim
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jisoo Lee
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
| | - Jiwon Ryu
- Division of General Internal Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
- Hospital Medicine Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Kwangsoo Kim
- Department of Transdisciplinary Medicine, Institute of Convergence Medicine with Innovative Technology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Zio Kim
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
| | - Gun Ahn
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
| | - Doyun Kwon
- Interdisciplinary Program of Medical Informatics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung-Jin Yoon
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
- Medical Bigdata Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea
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13
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Bernier E, Plante AS, Lemieux P, Robitaille J, Lemieux S, Desroches S, Bélanger-Gravel A, Maheux-Lacroix S, Weisnagel SJ, Demers S, Camirand Lemyre F, Boulet M, Baillargeon JP, Morisset AS. Promoting healthy eating in early pregnancy in individuals at risk of gestational diabetes mellitus: does it improve glucose homeostasis? A study protocol for a randomized control trial. Front Nutr 2024; 10:1336509. [PMID: 38312142 PMCID: PMC10834641 DOI: 10.3389/fnut.2023.1336509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/26/2023] [Indexed: 02/06/2024] Open
Abstract
Background Healthy eating during pregnancy has favorable effects on glycemic control and is associated with a lower risk of gestational diabetes mellitus (GDM). According to Diabetes Canada, there is a need for an effective and acceptable intervention that could improve glucose homeostasis and support pregnant individuals at risk for GDM. Aims This unicentric randomized controlled trial (RCT) aims to evaluate the effects of a nutritional intervention initiated early in pregnancy, on glucose homeostasis in 150 pregnant individuals at risk for GDM, compared to usual care. Methods Population: 150 pregnant individuals ≥18 years old, at ≤14 weeks of pregnancy, and presenting ≥1 risk factor for GDM according to Diabetes Canada guidelines. Intervention: The nutritional intervention initiated in the first trimester is based on the health behavior change theory during pregnancy and on Canada's Food Guide recommendations. It includes (1) four individual counseling sessions with a registered dietitian using motivational interviewing (12, 18, 24, and 30 weeks), with post-interview phone call follow-ups, aiming to develop and achieve S.M.A.R.T. nutritional objectives (specific, measurable, attainable, relevant, and time-bound); (2) 10 informative video clips on healthy eating during pregnancy developed by our team and based on national guidelines, and (3) a virtual support community via a Facebook group. Control: Usual prenatal care. Protocol: This RCT includes three on-site visits (10-14, 24-26, and 34-36 weeks) during which a 2-h oral glucose tolerance test is done and blood samples are taken. At each trimester and 3 months postpartum, participants complete web-based questionnaires, including three validated 24-h dietary recalls to assess their diet quality using the Healthy Eating Food Index 2019. Primary outcome: Difference in the change in fasting blood glucose (from the first to the third trimester) between groups. This study has been approved by the Ethics Committee of the Centre de recherche du CHU de Québec-Université Laval. Discussion This RCT will determine whether a nutritional intervention initiated early in pregnancy can improve glucose homeostasis in individuals at risk for GDM and inform Canadian stakeholders on improving care trajectories and policies for pregnant individuals at risk for GDM. Clinical trial registration https://clinicaltrials.gov/study/NCT05299502, NCT05299502.
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Affiliation(s)
- Emilie Bernier
- École de Nutrition, Université Laval, Québec, QC, Canada
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
| | - Anne-Sophie Plante
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
| | - Patricia Lemieux
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Faculté de Médecine, Université Laval, Québec, QC, Canada
| | - Julie Robitaille
- École de Nutrition, Université Laval, Québec, QC, Canada
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
| | - Simone Lemieux
- École de Nutrition, Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
| | - Sophie Desroches
- École de Nutrition, Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
| | - Ariane Bélanger-Gravel
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
- Département de Communication, Université Laval, Québec, QC, Canada
- Centre de Recherche de l'Institut Universitaire de Cardiologie de Pneumologie de Québec, Québec, QC, Canada
| | - Sarah Maheux-Lacroix
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Faculté de Médecine, Université Laval, Québec, QC, Canada
| | - S John Weisnagel
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Faculté de Médecine, Université Laval, Québec, QC, Canada
| | - Suzanne Demers
- Faculté de Médecine, Université Laval, Québec, QC, Canada
| | - Félix Camirand Lemyre
- Département de Mathématiques, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du CHU de Sherbrooke, Sherbrooke, QC, Canada
| | - Mélanie Boulet
- Centre Intégré Universitaire de Santé et de Service Sociaux de l'Estrie-CHU de Sherbrooke, Sherbrooke, QC, Canada
| | - Jean-Patrice Baillargeon
- Centre de Recherche du CHU de Sherbrooke, Sherbrooke, QC, Canada
- Département de Médecine, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Anne-Sophie Morisset
- École de Nutrition, Université Laval, Québec, QC, Canada
- Centre de Recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Centre de Recherche Nutrition, Santé et Société (NUTRISS) de l'Institut sur la Nutrition et des Aliments Fonctionnels (INAF), Université Laval, Québec, QC, Canada
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14
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Gignac T, Trépanier G, Paquet V, Ferland S, Carreau AM. Glycated Hemoglobin Is Suboptimal for the Screening of Prediabetes and Type 2 Diabetes in Adults With Nonalcoholic Fatty Liver Disease. Can J Diabetes 2023; 47:603-610. [PMID: 37352972 DOI: 10.1016/j.jcjd.2023.06.002] [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: 12/20/2022] [Revised: 05/01/2023] [Accepted: 06/08/2023] [Indexed: 06/25/2023]
Abstract
OBJECTIVES Nonalcoholic fatty liver disease (NAFLD) is a risk factor for type 2 diabetes (T2D), but T2D screening tests are not well validated in this population. In this study, we assessed performance of glycated hemoglobin (A1C) and fasting plasma glucose (FPG) in glucose dysmetabolism screening and aimed to optimize detection thresholds for individuals with NAFLD. METHODS We retrospectively included oral glucose tolerance tests (OGTTs) from consecutive patients undergoing a specialized clinic for NAFLD, if A1C and/or fasting glucose was available within 3 months of OGTT. We compared performances of A1C and fasting glucose with the "gold standard" of OGTT using thresholds from the 2018 Diabetes Canada guidelines. A1C and FPG thresholds were optimized for detection of glucose dysmetabolism using receiver operating characteristic curves. RESULTS We included 63 OGTTs from individuals with NAFLD (52% female, age 48 [interquartile range 35 to 63] years, body mass index 34 [interquartile range 29 to 40] kg/m2). A1C had 16% (95% confidence interval [CI] 6% to 38%) sensitivity (Se) and 97% (95% CI 85% to 100%) specificity (Sp) for T2D detection, and 45% (95% CI 30% to 62%) Se and 100% (95% CI 83% to 100%) Sp for abnormal blood glucose detection. FPG had 67% (95% CI 45% to 83%) Se and 100% (95% CI 92% to 100%) Sp for T2D detection, and 74% (95% CI 59% to 85%) Se and 92% (95% CI 74% to 99%) Sp for abnormal blood glucose detection. Optimal A1C and FPG thresholds were 5.6% and 6.3 mmol/L for T2D detection, which are lower than current recommendations. CONCLUSIONS A1C is less sensitive than FPG and is suboptimal for T2D detection, suggesting that OGTT may be obtained if A1C is ≥5.6% or FPG is ≥6.3 mmol/L in individuals with NAFLD, to avoid underdiagnosis and treatment inertia.
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Affiliation(s)
- Théo Gignac
- Endocrinology/Nephrology Axis, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec, Canada
| | - Gabrielle Trépanier
- Endocrinology/Nephrology Axis, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec, Canada
| | - Véronique Paquet
- Endocrinology/Nephrology Axis, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec, Canada; Division of Endocrinology, Department of Medicine, Centre Hospitalier Universitaire de Quebec, Université Laval, Québec City, Québec, Canada
| | - Stéphanie Ferland
- Endocrinology/Nephrology Axis, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec, Canada; Division of Endocrinology, Department of Medicine, Centre Hospitalier Universitaire de Quebec, Université Laval, Québec City, Québec, Canada; Division of Gastroenterology, Department of Medicine, Centre Hospitalier Universitaire de Québec, Université Laval, Québec City, Québec, Canada
| | - Anne-Marie Carreau
- Endocrinology/Nephrology Axis, Centre de Recherche du CHU de Québec-Université Laval, Québec City, Québec, Canada; Division of Endocrinology, Department of Medicine, Centre Hospitalier Universitaire de Quebec, Université Laval, Québec City, Québec, Canada.
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15
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Ke C, Chu A, Shah BR, Tobe S, Tu K, Fang J, Vaid H, Liu P, Cader A, Lee DS. Association of prior outpatient diabetes screening with cardiovascular events and mortality among people with incident diabetes: a population-based cohort study. Cardiovasc Diabetol 2023; 22:227. [PMID: 37641086 PMCID: PMC10463666 DOI: 10.1186/s12933-023-01952-y] [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: 07/08/2023] [Accepted: 08/07/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Outcomes of diabetes screening in contemporary, multi-ethnic populations are unknown. We examined the association of prior outpatient diabetes screening with the risks of cardiovascular events and mortality in Ontario, Canada. METHODS We conducted a population-based cohort study using administrative databases among adults aged ≥ 20 years with incident diabetes diagnosed during 2014-2016. The exposure was outpatient diabetes screening performed within 3 years prior to diabetes diagnosis. The co-primary outcomes were (1) a composite of all-cause mortality and hospitalization for myocardial infarction, stroke, coronary revascularization, and (2) all-cause mortality (followed up until 2018). We calculated standardized rates of each outcome and conducted cause-specific hazard modelling to determine the adjusted hazard ratio (HR) of the outcomes, adjusting for prespecified confounders and accounting for the competing risk of death. RESULTS We included 178,753 Ontarians with incident diabetes (70.2% previously screened). Individuals receiving prior screening were older (58.3 versus 53.4 years) and more likely to be women (49.6% versus 40.0%) than previously unscreened individuals. Individuals receiving prior screening had relatively lower standardized event rates than those without prior screening across all outcomes (composite: 12.8 versus 18.1, mortality: 8.2 versus 11.1 per 1000 patient-years). After multivariable adjustment, prior screening was associated with 34% and 32% lower risks of the composite (HR 0.66, 0.63-0.69) and mortality (0.68, 0.64-0.72) outcomes. Among those receiving prior screening, a result in the prediabetes range was associated with lower risks of the composite (0.82, 0.77-0.88) and mortality (0.71, 0.66-0.78) outcomes than a result in the normoglycemic range. CONCLUSIONS Previously screened individuals with diabetes had lower risks of cardiovascular events and mortality versus previously unscreened individuals. Better risk assessment tools are needed to support wider and more appropriate uptake of diabetes screening, especially among young adults.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, ON, Canada.
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, ON, Canada.
- ICES, Toronto, ON, Canada.
| | | | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Department of Medicine, Sunnybrook Hospital, Toronto, ON, Canada
| | - Sheldon Tobe
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Sunnybrook Hospital, Toronto, ON, Canada
- Northern Ontario School of Medicine, Sudbury, ON, Canada
| | - Karen Tu
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- North York General Hospital and Toronto Western Family Health Team, University Health Network, Toronto, ON, Canada
| | | | - Haris Vaid
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Peter Liu
- Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | - Aishah Cader
- Department of Public Health Sciences School of Medicine, Queen's University, Kingston, ON, Canada
| | - Douglas S Lee
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Toronto General Hospital, University Health Network, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Peter Munk Cardiac Centre and Ted Rogers Centre for Heart Research, Toronto, ON, Canada
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16
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Wang X, Ren J, Ren H, Song W, Qiao Y, Zhao Y, Linghu L, Cui Y, Zhao Z, Chen L, Qiu L. Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta. Sci Rep 2023; 13:12718. [PMID: 37543637 PMCID: PMC10404250 DOI: 10.1038/s41598-023-40036-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 08/03/2023] [Indexed: 08/07/2023] Open
Abstract
Diabetes mellitus (DM) has become the third chronic non-infectious disease affecting patients after tumor, cardiovascular and cerebrovascular diseases, becoming one of the major public health issues worldwide. Detection of early warning risk factors for DM is key to the prevention of DM, which has been the focus of some previous studies. Therefore, from the perspective of residents' self-management and prevention, this study constructed Bayesian networks (BNs) combining feature screening and multiple resampling techniques for DM monitoring data with a class imbalance in Shanxi Province, China, to detect risk factors in chronic disease monitoring programs and predict the risk of DM. First, univariate analysis and Boruta feature selection algorithm were employed to conduct the preliminary screening of all included risk factors. Then, three resampling techniques, SMOTE, Borderline-SMOTE (BL-SMOTE) and SMOTE-ENN, were adopted to deal with data imbalance. Finally, BNs developed by three algorithms (Tabu, Hill-climbing and MMHC) were constructed using the processed data to find the warning factors that strongly correlate with DM. The results showed that the accuracy of DM classification is significantly improved by the BNs constructed by processed data. In particular, the BNs combined with the SMOTE-ENN resampling improved the most, and the BNs constructed by the Tabu algorithm obtained the best classification performance compared with the hill-climbing and MMHC algorithms. The best-performing joint Boruta-SMOTE-ENN-Tabu model showed that the risk factors of DM included family history, age, central obesity, hyperlipidemia, salt reduction, occupation, heart rate, and BMI.
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Affiliation(s)
- Xuchun Wang
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jiahui Ren
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hao Ren
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wenzhu Song
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yuchao Qiao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ying Zhao
- Shanxi Centre for Disease Control and Prevention, Taiyuan, 030012, Shanxi, China
| | - Liqin Linghu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Centre for Disease Control and Prevention, Taiyuan, 030012, Shanxi, China
| | - Yu Cui
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhiyang Zhao
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Limin Chen
- Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China.
| | - Lixia Qiu
- Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
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17
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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: 15] [Impact Index Per Article: 7.5] [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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18
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Kaufman JM, van Veen L, Fossat Y. Screening for Impaired Glucose Homeostasis: A Novel Metric of Glycemic Control. MAYO CLINIC PROCEEDINGS. DIGITAL HEALTH 2023; 1:189-200. [PMID: 40206722 PMCID: PMC11975683 DOI: 10.1016/j.mcpdig.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/11/2025]
Abstract
Objective To investigate the use of a mathematical model of glucose homeostasis, fit to continuous glucose monitor data, as a metric of dysfunctional glycemic control. Patients and Methods Three hundred eighty four participants recruited from 2 studies between October 2020 and June 2022 were equipped with a continuous glucose monitor, and interstitial glucose data were automatically collected for 2 weeks. The participants were assessed by a physician and diagnosed as being diabetic, prediabetic, or healthy according to the American Diabetes Association guidelines. A mathematical model of glucose homeostasis was fitted to the glucose data, and model parameter values were obtained. The participants were classified into the following 2 groups on the basis of their glucose homeostasis parameters: effective and impaired. Finally, glycemic variability metrics were compared with glucose homeostasis classification. Results The homeostasis classification resulted in a specificity, sensitivity of individuals with prediabetes, and sensitivity of individuals with type 2 diabetes (T2D) of 0.78, 0.86, and 1.00, respectively, for women and 0.71, 0.86, and 1.00, respectively, for men. This sensitivity was similar to that of glycated hemoglobin A1c measurement (a sensitivity of 0.89 for women and 0.90 for men for prediabetes and a sensitivity of 1.00 for T2D) and superior to that of the oral glucose tolerance test (a sensitivity of 0.18 for women and 0.24 for men for prediabetes and a sensitivity of 0.75 for women and 0.86 for men for T2D). Overall, the individuals classified as impaired had increased glucose variability metrics than the individuals classified as effective (P<.05). Conclusion The classification of glucose homeostasis on the basis of mathematical modeling of continuous measurements has promising applications as a new metric of dysfunctional glycemic control. Trial Registration clinicaltrials.gov Identifier: NCT04529239; clinical trial registry identifier: CTRI/2021/08/035957.
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Affiliation(s)
- Jaycee M. Kaufman
- Klick Inc., Toronto, Ontario
- Department of Science, Ontario Tech University, Oshawa, Canada
| | | | - Yan Fossat
- Klick Inc., Toronto, Ontario
- Department of Science, Ontario Tech University, Oshawa, Canada
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19
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Cheng Y, Gadd DA, Gieger C, Monterrubio-Gómez K, Zhang Y, Berta I, Stam MJ, Szlachetka N, Lobzaev E, Wrobel N, Murphy L, Campbell A, Nangle C, Walker RM, Fawns-Ritchie C, Peters A, Rathmann W, Porteous DJ, Evans KL, McIntosh AM, Cannings TI, Waldenberger M, Ganna A, McCartney DL, Vallejos CA, Marioni RE. Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes. NATURE AGING 2023; 3:450-458. [PMID: 37117793 DOI: 10.1038/s43587-023-00391-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/27/2023] [Indexed: 04/30/2023]
Abstract
Type 2 diabetes mellitus (T2D) presents a major health and economic burden that could be alleviated with improved early prediction and intervention. While standard risk factors have shown good predictive performance, we show that the use of blood-based DNA methylation information leads to a significant improvement in the prediction of 10-year T2D incidence risk. Previous studies have been largely constrained by linear assumptions, the use of cytosine-guanine pairs one-at-a-time and binary outcomes. We present a flexible approach (via an R package, MethylPipeR) based on a range of linear and tree-ensemble models that incorporate time-to-event data for prediction. Using the Generation Scotland cohort (training set ncases = 374, ncontrols = 9,461; test set ncases = 252, ncontrols = 4,526) our best-performing model (area under the receiver operating characteristic curve (AUC) = 0.872, area under the precision-recall curve (PRAUC) = 0.302) showed notable improvement in 10-year onset prediction beyond standard risk factors (AUC = 0.839, precision-recall AUC = 0.227). Replication was observed in the German-based KORA study (n = 1,451, ncases = 142, P = 1.6 × 10-5).
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Affiliation(s)
- Yipeng Cheng
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
| | - Karla Monterrubio-Gómez
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Yufei Zhang
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Imrich Berta
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Michael J Stam
- School of Informatics, University of Edinburgh, Edinburgh, UK
| | | | - Evgenii Lobzaev
- School of Informatics, University of Edinburgh, Edinburgh, UK
| | - Nicola Wrobel
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Cliff Nangle
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Chloe Fawns-Ritchie
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, München-Neuherberg, Germany
- German Centre for Cardiovascular Research, Partner Site Munich Heart Alliance, München, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research, München-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Catalina A Vallejos
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
- The Alan Turing Institute, London, UK.
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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20
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Chen JTC, Austin PC, Luo J, Campitelli MA, Bronskill SE, Yu C, Rochon PA, Lipscombe LL, Lega IC. Patterns of diabetes testing for older adults without diabetes in Ontario's nursing homes: A population-based study. J Am Geriatr Soc 2023; 71:720-729. [PMID: 36515210 DOI: 10.1111/jgs.18152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/31/2022] [Accepted: 11/06/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Asymptomatic diabetes testing may be of limited value for older nursing home residents, but most diabetes guidelines lack upper-age cutoffs for screening cessation. We evaluated patterns of glycated hemoglobin (HbA1c) and serum blood glucose (SBG) testing among older residents without diabetes in Ontario, Canada. METHODS This population-based retrospective cohort study used provincial health administrative data from ICES to identify older nursing home residents in Ontario without diabetes between January 1, 2015 and December 31, 2018. We examined HbA1c and glucose testing rates overall, by age, sex, and near end-of-life. The number of tests needed to identify one case of diabetes (using HbA1c thresholds of 6.5% and 8.0%) were also calculated. RESULTS Among 102,923 older nursing home residents (70.3% women; average age 85.6 ± SD 7.7 years), 46.1% of residents received ≥1 HbA1c test over an average follow-up period of 2.15 (± SD 1.49) years, and 18.2% of these tested residents received ≥4 HbA1c tests. The crude HbA1c testing rate was 52.6 tests/100 person-years (95% CI 52.3-52.9). Testing rates among residents aged ≥80 years was 50.7 HbA1c tests/100 person-years (95% CI 50.4-51.0), and 47.8 tests/100 person-years (95% CI 46.5-49.0) among residents near end-of-life. The number of tests to identify a case of diabetes (HbA1c ≥ 6.5%) was 44, while the number of tests to identify a case of actionable diabetes (HbA1c ≥ 8%) was 310. Less than 1% of residents with an HbA1c test met criteria for actionable diabetes. CONCLUSIONS Nursing home residents without diabetes receive frequent diabetes testing, with high testing rates even in residents over 80 years old and residents near end-of-life. The high number of tests needed to identify a case of actionable diabetes highlights the urgent need to re-evaluate diabetes testing practices in nursing homes.
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Affiliation(s)
- Jim T C Chen
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | | | | | | | - Susan E Bronskill
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Catherine Yu
- Department of Medicine, University of Toronto, Toronto, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - Paula A Rochon
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Lorraine L Lipscombe
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Iliana C Lega
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- ICES, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
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21
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Ha KH, Lee KA, Han KD, Moon MK, Kim DJ. Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes. Korean J Intern Med 2023; 38:93-100. [PMID: 36420563 PMCID: PMC9816690 DOI: 10.3904/kjim.2022.283] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND/AIMS The Korean Diabetes Association (KDA) guidelines recommend adults aged ≥ 40 years and adults aged ≥ 30 years with diabetes risk factors for diabetes screening. This study aimed to determine the age threshold for diabetes screening in Korean adults. METHODS This study was based on the analyses of Korean adults aged ≥ 20 years using the Korea National Health and Nutrition Examination Survey (KNHANES) and the National Health Insurance Service-National Sample Cohort (NHIS-NSC). To evaluate screening effectiveness, we calculated the number needed to screen (NNS). RESULTS NNS to detect diabetes decreased from 63 to 34 in the KNHANES and from 71 to 42 in the NHIS-NSC between the ages of 30-34 and 35-39. When universal screening was applied to adults aged ≥ 35, the NNS was similar to that of adults aged ≥ 40. Compared to the KDA guidelines, the rate of missed screening positive in adults aged ≥ 20 decreased from 4.0% to 0.2% when the newly suggested screening criteria were applied. CONCLUSION Universal screening for adults aged ≥ 35 and selective screening for adults aged 20 to 34, considering diabetes risk factors, may be appropriate for detecting prediabetes and diabetes in South Korea.
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Affiliation(s)
- Kyoung Hwa Ha
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon,
Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju,
Korea
| | - Kyung-Do Han
- Statistics and Actuarial Science, Soongsil University, Seoul,
Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul,
Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon,
Korea
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22
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Kondakis K, Grammatikaki E, Kondakis M, Molnar D, Gómez-Martínez S, González-Gross M, Kafatos A, Manios Y, Pavón DJ, Gottrand F, Beghin L, Kersting M, Castillo MJ, Moreno LA, De Henauw S. Developing a risk assessment tool for identifying individuals at high risk for developing insulin resistance in European adolescents: the HELENA-IR score. J Pediatr Endocrinol Metab 2022; 35:1518-1527. [PMID: 36408818 DOI: 10.1515/jpem-2022-0265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/26/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVES To develop and validate an easy-to-use screening tool for identifying adolescents at high-risk for insulin resistance (IR). METHODS Α total of 1,053 adolescents (554 females), aged 12.5 to 17.5 years with complete data on glucose and insulin levels were included. Body mass index (BMI), fat mass index (FMI) and the homeostasis model assessment for insulin resistance (HOMA-IR) were calculated. VO2max was predicted using 20 m multi-stage fitness test. The population was randomly separated into two cohorts for the development (n=702) and validation (n=351) of the index, respectively. Factors associated with high HOMA-IR were identified by Spearman correlation in the development cohort; multiple logistic regression was performed for all identified independent factors to develop a score index. Finally, receiver operating characteristic (ROC) analysis was performed in the validation cohort and was used to define the cut-off values that could identify adolescents above the 75th and the 95th percentile for HOMA-IR. RESULTS BMI and VO2max significantly identified high HOMA-IR in males; and FMI, TV watching and VO2max in females. The HELENA-IR index scores range from 0 to 29 for males and 0 to 43 for females. The Area Under the Curve, sensitivity and specificity for identifying males above the 75th and 95th of HOMA-IR percentiles were 0.635 (95%CI: 0.542-0.725), 0.513 and 0.735, and 0.714 (95%CI: 0.499-0.728), 0.625 and 0.905, respectively. For females, the corresponding values were 0.632 (95%CI: 0.538-0.725), 0.568 and 0.652, and 0.708 (95%CI: 0.559-0.725), 0.667 and 0.617, respectively. Simple algorithms were created using the index cut-off scores. CONCLUSIONS Paediatricians or physical education teachers can use easy-to-obtain and non-invasive measures to apply the HELENA-IR score and identify adolescents at high risk for IR, who should be referred for further tests.
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Affiliation(s)
- Katerina Kondakis
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Evangelia Grammatikaki
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Kallithea, Greece
| | - Marios Kondakis
- Department of Statistics, Athens University of Economics and Business, Athens, Greece
| | - Denes Molnar
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Sonia Gómez-Martínez
- Immunonutrition Group, Department of Metabolism and Nutrition, Institute of Food Science, Technology and Nutrition (ICTAN), Spanish National Research Council (CSIC), Madrid, Spain
| | - Marcela González-Gross
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Kallithea, Greece.,Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, Heraklion, Greece
| | - David Jiménez Pavón
- Department of Physiology, School of Medicine, University of Granada, Granada, Spain
| | | | | | - Mathilde Kersting
- Research Institute of Child Nutrition, Rheinische Friedrich-Wilhelms-Universität Bonn, Dortmund, Germany
| | - Manuel J Castillo
- Department of Physiology, School of Medicine, University of Granada, Granada, Spain
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Facutlad de Ciencias de la Salud, Universidad de Zaragoza, Zaragoza, Spain.,Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.,Instituto Agroalimentario de Aragon (IA2), Zaragoza, Spain.,Instituto de Investigacion Sanitaria Aragon (IIS Aragon), Zaragoza, Spain
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
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Jin S, Bajaj HS, Brazeau AS, Champagne J, MacDonald B, MacKay D, Reichert SM, Vallis M, Bajaj HS, Gilbert J, Houlden R, Kim J, MacDonald B, MacKay D, Mansell K, Rabi D, Senior P, Sherifali D. Remission of Type 2 Diabetes: User's Guide: Diabetes Canada Clinical Practice Guidelines Expert Working Group. Can J Diabetes 2022; 46:762-774. [PMID: 36567080 DOI: 10.1016/j.jcjd.2022.10.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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24
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Lee KA, Kim DJ, Han K, Chon S, Moon MK. Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022. Diabetes Metab J 2022; 46:819-826. [PMID: 36455530 PMCID: PMC9723194 DOI: 10.4093/dmj.2022.0364] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/13/2022] [Indexed: 11/25/2022] Open
Abstract
Diabetes screening serves to identify individuals at high-risk for diabetes who have not yet developed symptoms and to diagnose diabetes at an early stage. Globally, the prevalence of diabetes is rapidly increasing. Furthermore, obesity and/or abdominal obesity, which are major risk factors for type 2 diabetes mellitus (T2DM), are progressively increasing, particularly among young adults. Many patients with T2DM are asymptomatic and can accompany various complications at the time of diagnosis, as well as chronic complications develop as the duration of diabetes increases. Thus, proper screening and early diagnosis are essential for diabetes care. Based on reports on the changing epidemiology of diabetes and obesity in Korea, as well as growing evidence from new national cohort studies on diabetes screening, the Korean Diabetes Association has updated its clinical practice recommendations regarding T2DM screening. Diabetes screening is now recommended in adults aged ≥35 years regardless of the presence of risk factors, and in all adults (aged ≥19) with any of the risk factors. Abdominal obesity based on waist circumference (men ≥90 cm, women ≥85 cm) was added to the list of risk factors.
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Affiliation(s)
- Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National UniversityBiomedical Research Institute of Jeonbuk National University Hosital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - on Behalf of the Committee of Clinical Practice Guideline of Korean Diabetes Association
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine of Jeonbuk National UniversityBiomedical Research Institute of Jeonbuk National University Hosital, Jeonbuk National University Medical School, Jeonju, Korea
- Department of Endocrinology and Metabolism, Ajou University School of Medicine, Suwon, Korea
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, College of Medicine, Kyung Hee University, Seoul, Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
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Kandil I, Keely E. Glucocorticoid-Induced Hyperglycemia in Oncologic Outpatients: A Narrative Review Using the Quadruple Aim Framework. Can J Diabetes 2022; 46:730-739. [PMID: 36055914 DOI: 10.1016/j.jcjd.2022.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/04/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
Abstract
Glucocorticoids are a central part of cancer treatment protocols. Their use in patients receiving chemotherapy increases patient risk of hyperglycemia and associated adverse outcomes. Despite this, there have been few published protocols that guide the management of this patient group. In this narrative review, we use the quadruple aim as a framework to evaluate the current literature, including interventions, on glucocorticoid-induced hyperglycemia in patients receiving oncologic treatment, with a focus on the outpatient setting. Findings were drawn from published review articles, observational studies, qualitative reports and costing data. Results were synthesized using the framework's 4 dimensions of care: population health, provider experience, patient experience and cost. Prospective studies proposing an intervention on oncologic patients receiving glucocorticoids were identified as intervention studies. Management of glucocorticoid-induced hyperglycemia in oncologic patients is a complex problem with no published interventions addressing all components of the quadruple aim. Most evidence on this population is based on retrospective studies. Six prospective intervention studies were identified and highlighted in this review, and only 2 were exclusively in the outpatient context. Challenges included lack of standardization in screening strategies and a paucity of interventions that have examined impact on patient and provider experience. There is limited evaluation of the impact of interventions targeting glycemic management on clinical outcomes and cost of care delivery, especially in the outpatient context. We propose a conceptual framework for evaluation of quality improvement programs. Management of glucocorticoid-induced hyperglycemia in the outpatient setting is complex and requires well-designed intervention studies evaluated across the quadruple aim.
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Affiliation(s)
- Ihab Kandil
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Erin Keely
- Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Division of Endocrinology and Metabolism, The Ottawa Hospital, Ottawa, Ontario, Canada.
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26
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Kaul P, Chu LM, Dover DC, Yeung RO, Eurich DT, Butalia S. Disparities in adherence to diabetes screening guidelines among males and females in a universal care setting: A population-based study of 1,380,697 adults. LANCET REGIONAL HEALTH. AMERICAS 2022; 14:100320. [PMID: 36777395 PMCID: PMC9904035 DOI: 10.1016/j.lana.2022.100320] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background National guidelines recommend that all adults over the age of 40 years undergo screening for diabetes at least once every 3-years. We examined the adherence to these guidelines among males and females after accounting for age, urban/rural residence, and material deprivation. We also examined the incidence of prediabetes and diabetes in adherent and non-adherent individuals. Methods Our study is based on a retrospective population-level inception cohort of adults aged 40-79 years without pre-existing diabetes or cardiovascular disease on April 1, 2013. Adherence during a 3-year screening period (2013-2016) and prediabetes and diabetes during a 4-year follow-up period were examined. Multivariate logistic regression was used to examine the adjusted association between sex and adherence. Findings Among 1,380,697 individuals (49·2% male, 50·8% female) adherence rates were 69·9% in males and 79·8% in females. Sex-differences in adherence were largest in younger individuals (58·0% and 72·6% and in males and females aged 40-44 years, respectively) and consistent across rural/urban residence and material deprivation. Females were more adherent (adjusted odds ratio 1·92; 95% confidence interval 1·89 to 1·95) than males. Prediabetes and diabetes rates among individuals who adhered to screening guidelines were 15·7% and 2·6% among males and 13·4% and 1·5% among females. During the follow-up period, an additional 3·2% and 1·9% of adherent males and females had diabetes. Incidence rates of prediabetes and diabetes during the follow-up period among individuals who did not adhere to screening guidelines were 8·8% and 2·1% among males and 7·3% and 1·3% among females. Interpretation Adherence to diabetes screening guidelines is sub-optimal, especially among young males. Despite lower rates of adherence to screening, males have higher rates of prediabetes and diabetes compared to females. There is a need for education campaigns to improve diabetes screening rates in young adults, especially males. Funding This study was funded by the Canadian Institutes of Health Research Sex and Gender Science Chair (Recipient: Kaul).
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Affiliation(s)
- Padma Kaul
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Luan Manh Chu
- Alberta SPOR Support Unit, Alberta Health Services, Canada
| | - Douglas C. Dover
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Roseanne O. Yeung
- Department of Medicine, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Dean T. Eurich
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Sonia Butalia
- Division of Endocrinology and Metabolism, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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27
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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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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: 0.3] [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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29
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Ding H, Huang J, Deng Y, Tin SPP, Wong MCS, Yeoh EK. Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review. BMJ Open 2022; 12:e055764. [PMID: 35487721 PMCID: PMC9058764 DOI: 10.1136/bmjopen-2021-055764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 04/03/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES To perform a systematic review on the characteristics of participants who attended screening programmes with blood glucose tests, lipid profiles or a combination of them, respectively. DESIGN Systematic review following the Meta-analysis Of Observational Studies in Epidemiology checklist. DATA SOURCES PubMed and Medline databases for English literature from 1 January 2000 to 1 April 2020. ELIGIBILITY CRITERIA Original observational studies that reported baseline characteristics of apparently healthy adult participants screening for diabetes and lipid disorders were included in this review. DATA EXTRACTION We examined their sociodemographic characteristics, including age, gender, body mass index (BMI) and lifestyle habits. The quality of the included articles was evaluated by the Appraisal of Cross-sectional Studies. RESULTS A total of 33 articles involving 38 studies in 22 countries were included and analysed in this systematic review. Overall, there was a higher participation rate among subjects who were female in all screening modalities (female vs male: 46.6%-63.9% vs 36.1%-53.4% for diabetes screening; 48.8%-58.4% vs 41.6%-51.2% for lipid screening; and 36.4%-76.8% vs 23.2%-63.6% for screening offering both). Compared with the BMI standard from the WHO, participants in lipid screening had lower BMI (male: 23.8 kg/m2 vs 24.2 kg/m2, p<0.01; female: 22.3 kg/m2 vs 23.6 kg/m2, p<0.01). Furthermore, it is less likely for individuals of lower socioeconomic status to participate in diabetes or lipid screening in developed areas. CONCLUSIONS We identified that individuals from lower socioeconomic groups were less likely to take up programmes for diabetes and/or lipid screening in developed areas. These populations are also likely to be at higher risk of non-communicable diseases. Future studies should investigate the barriers and facilitators of screening among non-participants, where targeted interventions to enhance their screening uptake are warranted.
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Affiliation(s)
- Hanyue Ding
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China
| | - Junjie Huang
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China
| | - Yunyang Deng
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China
| | - Sze Pui Pamela Tin
- Healthcare & Social Development, Our Hong Kong Foundation, Hong Kong, People's Republic of China
| | - Martin Chi-Sang Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China
- School of Public Health, Peking University, Beijing, People's Republic of China
| | - Eng-Kiong Yeoh
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong, People's Republic of China
- Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Clarke ST, Sarfaraz S, Qi X, Ramdath DG, Fougere GC, Ramdath DD. A Review of the Relationship between Lentil Serving and Acute Postprandial Blood Glucose Response; Effects of Dietary Fibre, Protein and Carbohydrates. Nutrients 2022; 14:nu14040849. [PMID: 35215500 PMCID: PMC8877848 DOI: 10.3390/nu14040849] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 12/20/2022] Open
Abstract
Pulse consumption has been shown to confer beneficial effects on blood glucose and insulin levels. Lentil consumption, in particular, consistently lowers acute blood glucose and insulin response when compared to starchy control foods. The mechanism by which lentils lower postprandial blood glucose response (PBGR) and insulin levels is unclear; however, evidence suggests that this effect may be linked to macronutrients and/or the amount of lentils consumed. This review attempts to consolidate existing studies that examined lentil consumption and glycemic and/or insulinemic responses and declared information on macronutrient composition and dietary fibre content of the foods tested. Collectively, these studies suggest that consumption of lentils reduces PBGR, with the minimum effective serving being ~110g cooked to reduce PBGR by 20%. Reductions in PBGR show modest-to-strong correlations with protein (45–57 g) and dietary fibre (22–30 g) content, but has weaker correlations with available carbohydrates. Increased lentil serving sizes were found to moderately influence relative reductions in peak blood glucose concentrations and lower the area under the blood glucose curve (BG AUC). However, no clear relationship was identified between serving and relative reductions in the BG AUC, making it challenging to characterize consistent serving–response effects.
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Waugh E, Myhre D, Beauvais C, Thériault G, Bell NR, Dickinson JA, Grad R, Singh H, Szafran O. Preventive screening in women who have sex with women. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2021; 67:830-836. [PMID: 34772710 PMCID: PMC8589139 DOI: 10.46747/cfp.6711830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Earle Waugh
- Professor Emeritus and Emeritus Director of the Centre for Health and Culture in the Department of Family Medicine at the University of Alberta in Edmonton.
| | - Douglas Myhre
- Professor in the Department of Family Medicine and the Department of Community Health Sciences at the University of Calgary in Alberta
| | - Cassandre Beauvais
- Clinical Instructor in the Department of Family Medicine and Emergency Medicine at the University of Montreal in Laval, Que
| | - Guylène Thériault
- Academic Lead for the Physicianship Component and Director of Pedagogy at Outaouais Medical Campus in the Faculty of Medicine at McGill University in Montreal, Que
| | - Neil R Bell
- Professor of Research in the Department of Family Medicine at the University of Alberta
| | - James A Dickinson
- Professor in the Department of Family Medicine and the Department of Community Health Sciences at the University of Calgary
| | - Roland Grad
- Associate Professor in the Department of Family Medicine at McGill University
| | - Harminder Singh
- Associate Professor in the Department of Internal Medicine and the Department of Community Health Sciences at the University of Manitoba in Winnipeg and in the Department of Hematology and Oncology at CancerCare Manitoba
| | - Olga Szafran
- Associate Director of Research in the Department of Family Medicine and the Department of Community Health Sciences at the University of Calgary
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Laing S, Johnston S. Estimated impact of COVID-19 on preventive care service delivery: an observational cohort study. BMC Health Serv Res 2021; 21:1107. [PMID: 34656114 PMCID: PMC8520349 DOI: 10.1186/s12913-021-07131-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/30/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND COVID-19 has caused significant healthcare service disruptions. Surgical backlogs have been estimated but not for other healthcare services. This study aims to estimate the backlog of preventive care services caused by COVID-19. METHODS This observational study assessed preventive care screening rates at three primary care clinics in Ottawa, Ontario from March to November 2020 using data from 22,685 electronic medical records. The change in cervical cancer, colorectal cancer, and type 2 diabetes screening rates were crudely estimated using 2016 census data, estimating the volume of key services delayed by COVID-19 across Ontario and Canada. RESULTS The mean percentage of patients appropriately screened for cervical cancer decreased by 7.5% (- 0.3% to - 14.7%; 95% CI), colorectal cancer decreased by 8.1% (- 0.3% to - 15.8%; 95% CI), and type 2 diabetes decreased by 4.5% (- 0.2% to - 8.7%; 95% CI). Crude estimates imply 288,000 cervical cancer (11,000 to 565,000; 95% CI), 326,000 colorectal cancer (13,000 to 638,000; 95% CI), and 274,000 type 2 diabetes screenings (13,000 to 535,000; 95% CI) may be overdue in Ontario. Nationally the deficits may be tripled these numbers. Re-opening measures have not reversed these trends. INTERPRETATION COVID-19 decreased the delivery of preventive care services, which may cause delayed diagnoses, increased mortality, and increased health care costs. Virtual care and reopening measures have not restored the provision of preventive care services. Electronic medical record data could be leveraged to improve screening via panel management. Additional, system-wide primary care and laboratory capacity will be needed to restore pre-COVID-19 screening rates.
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Affiliation(s)
- Scott Laing
- University of Ottawa Department of Family Medicine, Telfer School of Management, Ottawa, Canada
| | - Sharon Johnston
- University of Ottawa Department of Family Medicine, Institut du Savoir Montfort, Bruyère Research Institute, Ottawa, Canada
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Girard‐Bock C, Janvier A, Nuyt AM, Luu TM. Advocating for lifelong follow-up after preterm birth. Acta Paediatr 2021; 110:2675-2677. [PMID: 34160108 DOI: 10.1111/apa.16004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/22/2021] [Accepted: 06/22/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Camille Girard‐Bock
- Department of Pediatrics Faculty of Medicine Sainte‐Justine University Hospital Research Center University of Montreal Montreal QC Canada
| | - Annie Janvier
- Department of Pediatrics Faculty of Medicine Sainte‐Justine University Hospital Research Center University of Montreal Montreal QC Canada
- Clinical Ethics and Family Partnership Research Unit Sainte‐Justine University Hospital Center Montreal QC Canada
| | - Anne Monique Nuyt
- Department of Pediatrics Faculty of Medicine Sainte‐Justine University Hospital Research Center University of Montreal Montreal QC Canada
| | - Thuy Mai Luu
- Department of Pediatrics Faculty of Medicine Sainte‐Justine University Hospital Research Center University of Montreal Montreal QC Canada
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Ke C, Luk AO, Chan JCN, Wei X, Shah BR. Migration and diabetes incidence among Chinese adults in Canada, China, Hong Kong, and Taiwan: An international population-based comparative study from 2000 to 2017. Diabetes Res Clin Pract 2021; 180:109062. [PMID: 34543705 DOI: 10.1016/j.diabres.2021.109062] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/27/2021] [Accepted: 09/14/2021] [Indexed: 10/20/2022]
Abstract
AIMS We conducted an international population-based study comparing the incidence of young- (age 20-39 years) and usual- (age ≥ 40 years) onset diabetes among Chinese-Canadian immigrants; their source populations (mainland China, Hong Kong, Taiwan); and other Canadians. METHODS Using population-based data (2000-17; n = 3.4 million cases), we calculated incidence rates and incidence rate ratios comparing the average incidence for each cohort. RESULTS The average incidence of young-onset diabetes (YOD) among immigrants from China, Hong Kong, and Taiwan was 165.5, 121.0, and 78.4 per 100,000 person-years respectively. Immigrants from China and Hong Kong had higher YOD incidence than their source populations (RR China: 2.59, 2.44-2.74; Hong Kong: 1.64, 1.49-1.81), while immigrants from Taiwan had lower rates versus Taiwan (RR 0.63, 0.45-0.86). YOD incidence among immigrants from China increased sharply by 8.3% (3.3-13.6%) per year from 2011 onward-over twice the annual increase among non-Chinese Canadians. The average incidence rates of usual-onset diabetes among immigrants from China, Hong Kong, and Taiwan were higher than (RR 1.77, 1.73-1.81), similar to (0.98, 0.96-1.01), and lower than (0.36, 0.32-0.40) those in each source population respectively. CONCLUSIONS Diabetes incidence among Chinese migrants is unexpectedly heterogeneous, varying according age at migration, territory of origin, and the occurrence of diabetes in the source population.
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Affiliation(s)
- Calvin Ke
- Department of Medicine, University of Toronto, Toronto, Canada; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region; ICES, Toronto, Canada.
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region; Asia Diabetes Foundation, Metropole Square, Shatin, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region; Asia Diabetes Foundation, Metropole Square, Shatin, Hong Kong Special Administrative Region; Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong Special Administrative Region
| | - Xiaolin Wei
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Canada; ICES, Toronto, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada
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Ruzycki SM, Harrison TG, Enns E, McKeen J, Helmle K, Cameron A. Quality gaps in screening and monitoring for postoperative hyperglycemia in a Canadian hospital: a retrospective cohort study. BMJ Open Diabetes Res Care 2021; 9:e002445. [PMID: 34711544 PMCID: PMC8557293 DOI: 10.1136/bmjdrc-2021-002445] [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] [Received: 06/18/2021] [Accepted: 09/18/2021] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Evidence-based preoperative, intraoperative and postoperative glycemic management may reduce poor surgical outcomes. Previous studies suggest that quality gaps in perioperative glycemic management may be common. RESEARCH DESIGN AND METHODS This retrospective cohort study used administrative health and laboratory data from a single center to estimate quality gaps in perioperative glycemic management in patients with and without diabetes between April 2019 and March 2020. We examined the proportion of patients with preoperative hemoglobin A1c (HbA1c) measurement, postoperative point-of-care testing (POCT) for glucose, hyperglycemia, and basal bolus insulin regimens. We compared the median length of stay (LOS) in patients with and without postoperative hyperglycemia, adjusted for age and sex. RESULTS There were 6576 patients in our cohort; 1165 (17.8%) had diabetes. Most patients with diabetes had an HbA1c measured prior to surgery (n=697, 59.8%). Postoperatively, 16.9% of patients with diabetes had no POCT monitoring (n=197) and 65.7% had hyperglycemia (n=636). Only 35.9% of patients who received insulin had a basal bolus insulin regimen (n=229). Patients with diabetes who had postoperative hyperglycemia had a longer median LOS compared with those who did not have postoperative hyperglycemia (8.4 days (95% CI 7.5 to 9.4) and 6.7 days (95% CI 6.3 to 7.1), respectively). In patients without diabetes, median LOS was 7.4 days (95% CI 4.4 to 10.4) for those with hyperglycemia and 5.2 days (95% CI 5.1 to 5.4) for those with in-target glucose. CONCLUSIONS Quality gaps in perioperative glycemic management include measurement of blood glucose after surgery and treatment of postoperative hyperglycemia. These gaps may contribute to longer LOS.
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Affiliation(s)
- Shannon M Ruzycki
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Tyrone G Harrison
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Edwin Enns
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Julie McKeen
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Karmon Helmle
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Anna Cameron
- Department of Obstetrics and Gynecology, Cumming School of Medicine, Calgary, Alberta, Canada
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Curtis AM, Farmer AJ, Roberts NW, Armitage LC. Performance of guidelines for the screening and diagnosis of gestational diabetes mellitus during the COVID-19 pandemic: A scoping review of the guidelines and diagnostic studies evaluating the recommended testing strategies. DIABETES EPIDEMIOLOGY AND MANAGEMENT 2021; 3:100023. [PMID: 35072134 PMCID: PMC8572040 DOI: 10.1016/j.deman.2021.100023] [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: 09/27/2021] [Revised: 10/20/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022]
Abstract
AIM The COVID-19 pandemic has necessitated less resource-intensive testing guidelines to identify gestational diabetes mellitus (GDM). We performed a scoping review of the international evidence reporting the ability of diagnostic tests recommended during the pandemic to accurately identify patients with GDM, compared to pre-pandemic reference standards, and associated test and clinical outcomes. METHODS A comprehensive search of the literature was carried out in Embase, LitCovid, Cochrane Covid-19 study register, and medRxiv on 14th June 2021. RESULTS 145 unique citations were returned; after screening according to pre-specified inclusion criteria by title and abstract and then full text, 13 studies involving 40,836 pregnant people and an additional 52,884 instances of OGTT were included. Thresholds defined in the Australian pandemic guideline appear adequate to identify most GDM cases; false negative cases appeared at lower risk of hyperglycaemia-in-pregnancy(HIP)-related events. For UK and Canadian guidelines, a larger proportion would be misdiagnosed as non-GDM; these false negative cases had broadly equivalent HIP-related event rates as true positives. CONCLUSIONS The OGTT remains the most effective test to identify abnormal glucose processing in pregnancy, supporting the prompt return to standard guidelines post-pandemic. Cohort studies investigating the impact of the change in guidelines on GDM pregnancies and associated outcomes are needed.
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Affiliation(s)
| | - Andrew J Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Nia W Roberts
- Bodleian Health Care Libraries, University of Oxford, Oxford, United Kingdom
| | - Laura C Armitage
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Dickinson JA, Thériault G, Singh H, Grad R, Bell NR, Szafran O. Too soon or too late? Choosing the right screening test intervals. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2021; 67:100-106. [PMID: 33608359 DOI: 10.46747/cfp.6702100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- James A Dickinson
- Professor in the Department of Family Medicine and the Department of Community Health Sciences at the University of Calgary in Alberta.
| | - Guylène Thériault
- Academic Lead for the Physicianship Component and Director of Pedagogy at Outaouais Medical Campus in the Faculty of Medicine at McGill University in Montreal, Que
| | - Harminder Singh
- Associate Professor in the Department of Internal Medicine and the Department of Community Health Sciences at the University of Manitoba in Winnipeg and in the Department of Hematology and Oncology at CancerCare Manitoba
| | - Roland Grad
- Associate Professor in the Department of Family Medicine at McGill University
| | - Neil R Bell
- Professor and Associate Director of Research, Department of Family Medicine at the University of Alberta in Edmonton
| | - Olga Szafran
- Professor and Associate Director of Research, Department of Family Medicine at the University of Alberta in Edmonton
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Kianpour F, Fararouei M, Hassanzadeh J, Mohammadi M, Dianatinasab M. Performance of diabetes screening tests: an evaluation study of Iranian diabetes screening program. Diabetol Metab Syndr 2021; 13:13. [PMID: 33499908 PMCID: PMC7836149 DOI: 10.1186/s13098-021-00632-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 01/16/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Type 2 diabetes is a common non-communicable disease that is responsible for about 9% of all deaths and a 25% reduction in life expectancy. However, nearly half of the diabetic patients are not aware of their disease. In this regard, to identify un-known diabetic patients, diabetes screening is of great importance. This study was conducted to evaluate the performance of two commonly used diabetes screening tests that are currently recommended by the Iranian diabetes screening program for (DSP). METHODS The validity of the two diabetes screening tests were measured among 1057 participants who were older than 30 years of age. The studied screening tests included capillary fasting blood glucose (CBG) and glycated hemoglobin (HbA1c). The golden standard for measuring the validity of the tests was venous fasting plasma glucose (VPG). RESULTS According to the results, the sensitivity of CBG and HbA1c tests was 69.01% and 84.5%, and the specificity of the tests were 95.7% and 79.3%, respectively. Positive and negative predictive values were 53.84% and 97.72% for CBG and 22.72% and 98.61% for HbA1c, respectively. The recommended cut points for CBG and HbA1c were 116.5 mg/dl and 7.15%, respectively. Using these values as the new cut points, sensitivity and specificity of CBG and HbA1c changed to 80.30% and 89.10%, and 77.50% and 94.20%, respectively. CONCLUSIONS Compared to several other countries, the performance of Iranian DSP is relatively better. The Receiver Operating Characteristic Curve suggested new cut points for significantly better performance of DSP.
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Affiliation(s)
- Fateme Kianpour
- Student Research Center, Department of Epidemiology, Shiraz University of Medical Sciences, 7134767617 Shiraz, Iran
| | - Mohammad Fararouei
- Department of Epidemiology, Shiraz University of Medical Sciences, 7134767617 Shiraz, Iran
| | - Jafar Hassanzadeh
- Department of Epidemiology, Shiraz University of Medical Sciences, 7134767617 Shiraz, Iran
| | | | - Mostafa Dianatinasab
- Department of Complex Genetics and Epidemiology, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 MD Maastricht, The Netherlands
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Rkieh L, Sengar A, Parikh A, Mills A. An Exploratory Screening Study for Type 2 Diabetes in Hospitalized Adult Medicine Patients. Can J Diabetes 2021; 45:629-633. [PMID: 33648861 DOI: 10.1016/j.jcjd.2021.01.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 11/30/2020] [Accepted: 01/03/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Literature from stroke and cardiac hospital admissions demonstrate a higher prevalence of undiagnosed type 2 diabetes compared with the general population. Fewer diabetes screening studies exist in the general medicine population, none of which have been based in Canada. Our primary objective in this study was to determine the prevalence of probable undiagnosed diabetes (glycated hemoglobin [A1C]≥6.5%) in hospitalized medicine patients. Secondary objectives were to identify the prevalence of undiagnosed dysglycemia (A1C≥6.0%) and the subsequent management of emergent cases. METHODS In this prospective cohort study, adult patients admitted to internal medicine at a tertiary hospital in Ontario were screened for diabetes using an A1C test over a 3-month period. Baseline demographics and outcomes were compared using t tests, chi-square tests and Fisher's exact tests for normoglycemia, undiagnosed dysglycemia and probable undiagnosed diabetes. A regression analysis was performed to identify any relationships between various cardiovascular-related risk factors and A1C. RESULTS A total of 53 adult patients were enrolled. The prevalence of probable undiagnosed diabetes and undiagnosed dysglycemia was 7.5% (n=4) and 30.2% (n=16), respectively. Implementation of diabetes management strategies and/or documentation of the finding occurred in 4 of 16 patients. Regression analysis showed no relationship between either cardiovascular-related risk factors or admission glucose with A1C. CONCLUSIONS A broader screening approach may capture previously undiagnosed cases of diabetes that do not belong to traditionally at-risk populations. Future studies should focus on identifying risk factors for undiagnosed dysglycemia in hospitalized patients, including ethnicity and barriers to community access, so that appropriate screening programs can be developed.
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Affiliation(s)
- Laila Rkieh
- Trillium Health Partners Mississauga Hospital, Mississauga, Ontario, Canada.
| | - Anjana Sengar
- Trillium Health Partners Mississauga Hospital, Mississauga, Ontario, Canada; Institute for Better Health, Mississauga, Ontario, Canada
| | - Amish Parikh
- Trillium Health Partners Mississauga Hospital, Mississauga, Ontario, Canada
| | - Allan Mills
- Trillium Health Partners Mississauga Hospital, Mississauga, Ontario, Canada; Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada; Institute for Better Health, Mississauga, Ontario, Canada
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Heji ES, Bukhari AA, Bahammam MA, Homeida LA, Aboalshamat KT, Aldahlawi SA. Periodontal Disease as a Predictor of Undiagnosed Diabetes or Prediabetes in Dental Patients. Eur J Dent 2020; 15:216-221. [PMID: 33285572 PMCID: PMC8184281 DOI: 10.1055/s-0040-1719208] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES The study investigates whether periodontal parameters can identify subjects with undiagnosed diabetes mellitus (DM) or pre-DM in patients seeking dental treatment at a university dental hospital. MATERIALS AND METHODS Adults older than 35 years, not being diagnosed with DM before and have at least one of the risk factors of DM were included in the study. All subjects received a complete periodontal examination, filled a medical history survey, and a fasting blood glucose measurement was obtained. A multiple logistic regression test using a backward elimination method to assess factors that predict if the participant is healthy, prediabetic or diabetic was done. A p-value of <0.05 was considered significant. RESULTS A total of 61 subjects were enrolled with an average age of 42.9 ± 9.4 years. Having a family member diagnosed with DM was reported by 64.5% of the subjects; 59% were diagnosed with advanced periodontal disease. The final logistic regression model included smoking, hypertension, family history of DM, and percentage of clinical attachment loss >3 mm was statistically significant (P < 0.001). The model explained 47.7% of the diabetes condition and correctly classified 69.4% of cases. Participants with a family history of diabetes are 4.98 times more likely to exhibit prediabetic or diabetic status. Each unit increase in the percentage of clinical attachment loss increases the likelihood of participant to be prediabetic or diabetic by 1.104 times. CONCLUSION Dental patients presenting with severe clinical attachment loss and family history of DM have increased likelihood of undiagnosed DM or pre-DM and would benefit from screening at the dental office.
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Affiliation(s)
- Esraa S Heji
- Dental Teaching Hospital, Umm Al-Qura University, Makkah, Saudi Arabia
| | | | - Manal A Bahammam
- Dental Teaching Hospital, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Lujain A Homeida
- Department of Basic and Clinical Oral Sciences, Faculty of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Khalid T Aboalshamat
- Division of Dental Public Health, Department of Preventative Dentistry, College of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Salwa A Aldahlawi
- Department of Basic and Clinical Oral Sciences, Faculty of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia
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Bean C, Dineen T, Locke SR, Bouvier B, Jung ME. An Evaluation of the Reach and Effectiveness of a Diabetes Prevention Behaviour Change Program Situated in a Community Site. Can J Diabetes 2020; 45:360-368. [PMID: 33323314 DOI: 10.1016/j.jcjd.2020.10.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 10/08/2020] [Accepted: 10/11/2020] [Indexed: 02/05/2023]
Abstract
More than 350 million people are living with prediabetes. Preventing type 2 diabetes (T2D) progression can reduce morbidity, mortality and health-care costs. Interventions can support people with diet and physical activity behaviour changes; however, many interventions are university-based, posing barriers (e.g. accessibility, limited reach and maintenance), which highlight the need for community intervention. Limited research has comprehensively evaluated programs in community contexts. The purpose of this study was to pragmatically examine the reach and effectiveness of a diabetes prevention behaviour change program in the community using the RE-AIM framework. Demographic and outcome data were collected through telephone screening and survey data, and analyzed using descriptive and multivariate analyses. Over 2 years, 9,954 individuals were identified by a medical laboratory as living with prediabetes. Information letters were sent by the laboratory to individuals upon physician approval (N=2,241, 22.5%) as a main form of recruitment. From this, 271 individuals and an additional 160 individuals via other recruitment methods contacted the research team (N=431). Two hundred thirteen adults with prediabetes were enrolled (87.4% Caucasian, 69.7% female; 95% program completion). Analyses of 6-month follow-up data revealed significant maintenance of reductions in weight and waist circumference and improvements in physical function, self-reported physical activity and all-food frequency items except fruit intake (N=121, d=0.21 to 0.68, p <0.05 to 0.001). The program demonstrated diabetes risk-reducing benefits for enrolled individuals. Future work is needed to increase physician referral and participant response rates and to explore program expansion through digitization to reach more individuals at risk of developing T2D.
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Affiliation(s)
- Corliss Bean
- Faculty of Health and Social Development, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Tineke Dineen
- Faculty of Health and Social Development, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Sean R Locke
- Faculty of Health and Social Development, The University of British Columbia, Kelowna, British Columbia, Canada
| | - Brooklyn Bouvier
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Mary E Jung
- Faculty of Health and Social Development, The University of British Columbia, Kelowna, British Columbia, Canada.
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Munshi MN, Meneilly GS, Rodríguez-Mañas L, Close KL, Conlin PR, Cukierman-Yaffe T, Forbes A, Ganda OP, Kahn CR, Huang E, Laffel LM, Lee CG, Lee S, Nathan DM, Pandya N, Pratley R, Gabbay R, Sinclair AJ. Diabetes in ageing: pathways for developing the evidence base for clinical guidance. Lancet Diabetes Endocrinol 2020; 8:855-867. [PMID: 32946822 PMCID: PMC8223534 DOI: 10.1016/s2213-8587(20)30230-8] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/12/2020] [Accepted: 06/19/2020] [Indexed: 02/07/2023]
Abstract
Older adults with diabetes are heterogeneous in their medical, functional, and cognitive status, and require careful individualisation of their treatment regimens. However, in the absence of detailed information from clinical trials involving older people with varying characteristics, there is little evidence-based guidance, which is a notable limitation of current approaches to care. It is important to recognise that older people with diabetes might vary in their profiles according to age category, functional health, presence of frailty, and comorbidity profiles. In addition, all older adults with diabetes require an individualised approach to care, ranging from robust individuals to those residing in care homes with a short life expectancy, those requiring palliative care, or those requiring end-of-life management. In this Review, our multidisciplinary team of experts describes the current evidence in several important areas in geriatric diabetes, and outlines key research gaps and research questions in each of these areas with the aim to develop evidence-based recommendations to improve the outcomes of interest in older adults.
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Affiliation(s)
- Medha N Munshi
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA; Beth Israel Deaconess Medical Center, Boston, MA, USA.
| | | | | | - Kelly L Close
- The diaTribe Foundation San Francisco, CA, USA; Close Concerns, San Francisco, CA, USA
| | - Paul R Conlin
- Harvard Medical School, Boston, MA, USA; Veteran Affairs Boston Healthcare System, Boston, MA, USA
| | - Tali Cukierman-Yaffe
- Division of Endocrinology, Diabetes and Metabolism, Gertner Institute, Ramat Gan, Israel; Sheba Medical Centre, Ramat Gan, Israel; Epidemiology Department, Sackler School of Medicine, Herczeg Institute on Aging, Tel Aviv University, Tel Aviv, Israel
| | | | - Om P Ganda
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - C Ronald Kahn
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Elbert Huang
- Center for Chronic Disease Research and Policy, Section of General Internal Medicine, University of Chicago, Chicago, IL, USA
| | - Lori M Laffel
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Christine G Lee
- Division of Diabetes, Endocrinology and Metabolic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Sei Lee
- University of California San Francisco, San Francisco, CA, USA; Geriatrics and Extended Care, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - David M Nathan
- Harvard Medical School, Boston, MA, USA; Diabetes Research Center and Clinical Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Naushira Pandya
- Department of Geriatrics, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Aventura Hospital, Aventura, FL, USA
| | - Richard Pratley
- AdventHealth, AdventHealth Diabetes Institute, AdventHealth Translational Research Institute, Orlando, FL, USA
| | - Robert Gabbay
- Harvard Medical School, Boston, MA, USA; Joslin Diabetes Center, Boston, MA, USA
| | - Alan J Sinclair
- King's College London, London, UK; Diabetes Frail, London, UK
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43
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Van L, Heung T, Malecki SL, Fenn C, Tyrer A, Sanches M, Chow EW, Boot E, Corral M, Dash S, George SR, Bassett AS. 22q11.2 microdeletion and increased risk for type 2 diabetes. EClinicalMedicine 2020; 26:100528. [PMID: 33089125 PMCID: PMC7565196 DOI: 10.1016/j.eclinm.2020.100528] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND The 22q11.2 microdeletion is the pathogenic copy number variation (CNV) associated with 22q11.2 deletion syndrome (22q11.2DS, formerly known as DiGeorge syndrome). Familiar endocrinological manifestations include hypoparathyroidism and hypothyroidism, with recent elucidation of elevated risk for obesity in adults. In this study, we aimed to determine whether adults with 22q11.2DS have an increased risk of developing type 2 diabetes (T2D). METHODS We studied the effect of the 22q11.2 microdeletion on risk for T2D, defined by history and glycosylated hemoglobin (HbA1c), using weighted survey data from the adult Canadian population (based on n = 11,874) and from a clinical cohort of adults with 22q11.2DS (n = 314), aged 17-69 years. Binomial logistic regression models accounted for age, sex, non-European ethnicity, family history of T2D, obesity, and antipsychotic medication use. FINDINGS The 22q11.2 microdeletion was a significant independent risk factor for T2D (OR 2·44, 95% CI 1·39-4·31), accounting for other factors (p < 0·0001). All factors except sex were also significant within 22q11.2DS. The median age at diagnosis of T2D was significantly younger in 22q11.2DS than in the Canadian population sample (32 vs 50 years, p < 0·0001). In adults without T2D, HbA1c was significantly higher in 22q11.2DS than the population (p = 0·042), after accounting for younger age of the 22q11.2DS group. INTERPRETATION The results support the 22q11.2 microdeletion as a novel independent risk factor and potential model for early onset T2D. The findings complement emerging evidence that rare CNVs may contribute to risk for T2D. The results have implications for precision medicine and research into the underlying pathogenesis of T2D.
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Affiliation(s)
- Lily Van
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Tracy Heung
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sarah L. Malecki
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Christian Fenn
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Andrea Tyrer
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Undergraduate Medical Education, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Marcos Sanches
- Biostatistical Consulting Service, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Eva W.C. Chow
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Erik Boot
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Advisium, ’s Heeren Loo Zorggroep, Amersfoort, the Netherlands
| | - Maria Corral
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Satya Dash
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Banting & Best Diabetes Center, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Susan R. George
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada
| | - Anne S. Bassett
- Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- The Dalglish Family 22q Clinic, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Toronto Congenital Cardiac Centre for Adults, and Division of Cardiology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
- Toronto General Research Institute and Campbell Family Mental Health Research Institute, Toronto, Ontario, Canada
- Corresponding author at: The Dalglish Family 22q Clinic, Toronto General Hospital, 200 Elizabeth Street, 8NU-802 Toronto, ON M4G 2C5, Canada.
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Nouhjah S, Jahanfar S, Shahbazian H. Temporary changes in clinical guidelines of gestational diabetes screening and management during COVID-19 outbreak: A narrative review. Diabetes Metab Syndr 2020; 14:939-942. [PMID: 32593935 PMCID: PMC7299858 DOI: 10.1016/j.dsx.2020.06.030] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/03/2020] [Accepted: 06/15/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND AIMS New clinical approaches are needed to minimize complications of gestational diabetes during the COVID-19 outbreak with timely screening and proper management. The present study aims to highlight changes in the clinical guideline for gestational diabetes during the pandemic. METHODS In a narrative review, multiple databases were searched. Furthermore, online searches were conducted to identify guidelines or support documents provided by NGOs, local health authorities, and societies and organizations in the field of diabetes and obstetrics. RESULTS We included five national guidelines that were published in English from Canada, the United Kingdom, Australia, New Zealand, and Australia health agencies. FBG, A1C, RPG were recommended as alternative tests instead of a 2-h oral glucose tolerance test (OGGT) for GDM screening at 24-28 weeks of gestation. Recommendations also included a deferral of postpartum screening till the end of the pandemic, or postponement of testing to 6-12 months after delivery, use telemedicine and telecare. CONCLUSIONS Updated temporary changes in clinical guidelines are sensible and accommodates social distancing and minimizes risk of exposure to COVID-19. Despite many unsolved controversies in screening, treatment, and follow-up of gestational diabetes, it seems involvement with novel coronavirus have made a reach to a global agreement simpler.
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Affiliation(s)
- Sedigheh Nouhjah
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Shayesteh Jahanfar
- MPH Program, Central Michigan University, Health Sciences Building, 2209, Mount Pleasant, MI, 48859, USA.
| | - Hajieh Shahbazian
- Diabetes Research Center, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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45
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Srugo SA, Morrison HI, Villeneuve PJ, de Groh M, Jiang Y. Assessing Dysglycemia Risk Among Younger Adults: A Validation of the Canadian Diabetes Risk Questionnaire. Can J Diabetes 2020; 44:379-386.e3. [DOI: 10.1016/j.jcjd.2019.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 11/19/2019] [Accepted: 11/25/2019] [Indexed: 12/23/2022]
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46
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Talukder A, Hossain MZ. Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model. Sci Rep 2020; 10:10237. [PMID: 32581295 PMCID: PMC7314753 DOI: 10.1038/s41598-020-66084-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 05/15/2020] [Indexed: 12/13/2022] Open
Abstract
This study intends to explore the prevalence of diabetes mellitus (DM) and its associated factors in Bangladesh. The necessary information was extracted from Bangladesh Demographic and Health Survey (BDHS) 2011. In bivariate analysis, Chi-square test was performed to assess the association between selected covariates and diabetes status. A two-level logistic regression model with a random intercept at each of the individual and regional level was considered to identify the risk factors of DM. A total of 7,535 individuals were included in this study. From the univariate analysis, the prevalence of DM was found to be 33.3% in 50-54 age group for instance. In bivariate setup, all the selected covariates except sex of the participants were found significant for DM (p < 0.05). According to the two-level logistic regression model, the chance of occurring DM increases as age of the participants' increases. It was observed that female participants were more likely to have DM. The occurrence of DM was 62% higher for higher educated participants, 42% higher for the individuals who came from rich family and 63% higher for the individuals having hypertension. The chance of developing diabetes among overweighed people was almost double. However, the individuals engaged in physical work had less chance to have DM. This study calls for greater attention of government and other concerned entities to come up with appropriate policy interventions to lower the risk of DM.
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Affiliation(s)
- Ashis Talukder
- Statistics Discipline, Khulna University, Khulna, 9208, Bangladesh.
| | - Md Zobayer Hossain
- Development Studies Discipline, Khulna University, Khulna, 9208, Bangladesh
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47
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Blankson PK, Kwamin F, Asibey ABO. Screening at the dental office: An opportunity for bridging the gap in the early diagnosis of hypertension and diabetes in Ghana. Ann Afr Med 2020; 19:40-46. [PMID: 32174614 PMCID: PMC7189880 DOI: 10.4103/aam.aam_22_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Background: The prevalence of hypertension and diabetes is increasing in Ghana and sub-Saharan Africa. Screening is a useful tool in improving the early detection of both diseases to reduce the mortality and morbidity associated with the conditions. This study set out to determine the prevalence of patients with hypertension and hyperglycemia attending a dental clinic in Accra. Methods: A cross-sectional study, modeling a screening exercise, was conducted in a major dental clinic in Accra. Hypertension and diabetes were screened for with serial blood pressure checks at rest and random blood glucose measurements, respectively. Other variables were the pulse rate, the respiratory rate, and the background characteristics of respondents. Data were analyzed with Stata Version 14, and descriptive statistics were generated and reported. Results: There were a total of 175 participants in the study, comprising 76 males (43.4%) and 99 females (56.6%). This represented a male-to-female ratio of 0.8:1. The ages ranged from 18 to 86 years, with the median and mean ages of 40 years and 43.1 years (±16.9), respectively. This study found the prevalence of hypertension and hyperglycemia in the dental clinic to be 31.4% and 24.6%, respectively. Conclusion: The results of this study demonstrate the importance of the dental clinic in detecting both undiagnosed hypertension and diabetes, as well as those who have previously been diagnosed, but do not have their blood pressure and blood sugar under adequate control. With efficient referrals and follow-up systems in place at dental offices, they could be harnessed as a fertile place for hypertension and diabetes screening.
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Affiliation(s)
- Paa-Kwesi Blankson
- Department of Oral and Maxillofacial Surgery, Korle-Bu Teaching Hospital, Accra, Ghana
| | - Francis Kwamin
- Department of Oral Pathology and Medicine, School of Medicine and Dentistry, University of Ghana, Accra, Ghana
| | - Aaron B Osei Asibey
- Department of Oral Pathology and Medicine, School of Medicine and Dentistry, University of Ghana, Accra, Ghana
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Zamora JM, Kong JM. Case Series of U-500 Insulin Use in Adults With Type 2 Diabetes and Severe Insulin Resistance. Can J Diabetes 2020; 45:55-58. [PMID: 32847768 DOI: 10.1016/j.jcjd.2020.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 05/08/2020] [Accepted: 05/11/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Severe insulin resistance results in large volumes of insulin to achieve glycemic control. These large volumes can result in patient discomfort and decreased satisfaction. Using the more concentrated U-500 insulin provides a solution to this problem. This case series demonstrates real-world use of U-500 insulin in a Canadian population. METHODS Seventeen patients were identified to have been started on U-500 insulin at an endocrinology clinic in Vancouver, British Columbia, Canada. The retrospective chart review looked at patients' characteristics before starting U-500 insulin and at their 1-year follow-up appointment. RESULTS At follow up, patients demonstrated improved glycated hemoglobin with a mean improvement of 1.6% at 1 year (p<0.05). There was a statistically significant increase in hypoglycemia (p<0.05), and, on average, patients gained 5.6 kg over the course of the year (p<0.05). There was no statistically significant change in number of units of insulin, injections, lipids, renal function or blood pressure. CONCLUSIONS The initiation of U-500 insulin results in improved glycemic control at the cost of increased hypoglycemia and weight gain.
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Affiliation(s)
- Jacob M Zamora
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Division of Endocrinology and Metabolism, Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada.
| | - Jason M Kong
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Division of Endocrinology and Metabolism, Department of Medicine, Vancouver General Hospital, Vancouver, British Columbia, Canada
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Kanellakis S, Mavrogianni C, Karatzi K, Lindstrom J, Cardon G, Iotova V, Wikström K, Shadid S, Moreno LA, Tsochev K, Bíró É, Dimova R, Antal E, Liatis S, Makrilakis K, Manios Y. Development and Validation of Two Self-Reported Tools for Insulin Resistance and Hypertension Risk Assessment in A European Cohort: The Feel4Diabetes-Study. Nutrients 2020; 12:nu12040960. [PMID: 32235566 PMCID: PMC7230581 DOI: 10.3390/nu12040960] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 03/22/2020] [Accepted: 03/26/2020] [Indexed: 12/31/2022] Open
Abstract
Early identification of type 2 diabetes mellitus (T2DM) and hypertension (HTN) risk may improve prevention and promote public health. Implementation of self-reported scores for risk assessment provides an alternative cost-effective tool. The study aimed to develop and validate two easy-to-apply screening tools identifying high-risk individuals for insulin resistance (IR) and HTN in a European cohort. Sociodemographic, lifestyle, anthropometric and clinical data obtained from 1581 and 1350 adults (baseline data from the Feel4Diabetes-study) were used for the European IR and the European HTN risk assessment index respectively. Body mass index, waist circumference, sex, age, breakfast consumption, alcohol, legumes and sugary drinks intake, physical activity and sedentary behavior were significantly correlated with Homeostatic Model Assessment of IR (HOMA-IR) and/or HTN and incorporated in the two models. For the IR index, the Area Under the Curve (AUC), sensitivity and specificity for identifying individuals above the 75th and 95th of HOMA-IR percentiles were 0.768 (95%CI: 0.721-0.815), 0.720 and 0.691 and 0.828 (95%CI: 0.766-0.890), 0.696 and 0.778 respectively. For the HTN index, the AUC, sensitivity and specificity were 0.778 (95%CI: 0.680-0.876), 0.667 and 0.797. The developed risk assessment tools are easy-to-apply, valid, and low-cost, identifying European adults at high risk for developing T2DM or having HTN.
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Affiliation(s)
- Spyridon Kanellakis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (S.K.); (C.M.); (K.K.)
| | - Christina Mavrogianni
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (S.K.); (C.M.); (K.K.)
| | - Kalliopi Karatzi
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (S.K.); (C.M.); (K.K.)
| | - Jaana Lindstrom
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland; (J.L.); (K.W.)
| | - Greet Cardon
- Department of Movement and Sports Sciences, Faculty of medicine and Health Sciences, Ghent University, 9000 Gent, Belgium;
| | - Violeta Iotova
- Department of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria; (V.I.); (K.T.)
| | - Katja Wikström
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland; (J.L.); (K.W.)
| | - Samyah Shadid
- Department of Endocrinology, Ghent University Hospital, 9000 Gent, Belgium;
| | - Luis A. Moreno
- Growth, Exercise, Nutrition and Development Research Group, School of Health Sciences, University of Zaragoza, 50009 Zaragoza, Spain;
- Instituto Agroalimentario de Aragón (IA2), 50009 Zaragoza, Spain
- Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Kaloyan Tsochev
- Department of Paediatrics, Medical University Varna, 9002 Varna, Bulgaria; (V.I.); (K.T.)
| | - Éva Bíró
- Division of Health Promotion, Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, 4032 Debrecen, Hungary;
| | - Rumyana Dimova
- Department of Diabetology, Clinical Center of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria;
| | - Emese Antal
- Hungarian Society of Nutrition, 1088 Budapest, Hungary;
| | - Stavros Liatis
- National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece; (S.L.); (K.M.)
| | - Konstantinos Makrilakis
- National and Kapodistrian University of Athens Medical School, 11527 Athens, Greece; (S.L.); (K.M.)
| | - Yannis Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece; (S.K.); (C.M.); (K.K.)
- Correspondence: ; Tel.: +30-210-954-9156
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Alawadi F, Abusnana S, Afandi B, Aldahmani K, Alhajeri O, Aljaberi K, Alkaabi J, Almadani A, Bashier A, Beshyah S, bin Belaila B, Fargaly M, Farooqi M, Hafidh K, Hassanein M, Hassoun A, Jabbar A, Ksseiry I, Mustafa H, Saadi H, Suliman S. Emirates Diabetes Society Consensus Guidelines for the Management of Type 2 Diabetes Mellitus – 2020. DUBAI DIABETES AND ENDOCRINOLOGY JOURNAL 2020. [DOI: 10.1159/000506508] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Rapid urbanisation and socioeconomic development in the United Arab Emirates (UAE) have led to the widespread adoption of a sedentary lifestyle and Westernised diet in the local population and consequently a high prevalence of obesity and diabetes. In 2019, International Diabetes Federation statistics reported a diabetes prevalence rate of 16.3% for the adult population in the UAE. In view of the wealth of recent literature on diabetes care and new pharmacotherapeutics, the Emirates Diabetes Society convened a panel of experts to update existing local guidelines with international management recommendations. The goal is to improve the standard of care for people with diabetes through increased awareness of these management practices among healthcare providers licensed by national health authorities. These consensus guidelines address the screening, diagnosis and management of type 2 diabetes mellitus in adults including individuals at risk of developing the disease.
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