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Suzuki T, Zhu X, Adabag S, Matsushita K, Butler KR, Griswold ME, Alonso A, Rosamond W, Sotoodehnia N, Mosley TH. Ankle-Brachial Index and Risk of Sudden Cardiac Death in the Community: The ARIC Study. J Am Heart Assoc 2024; 13:e032008. [PMID: 38456405 PMCID: PMC11010027 DOI: 10.1161/jaha.123.032008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/22/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Sudden cardiac death (SCD) is a significant global public health problem accounting for 15% to 20% of all deaths. A great majority of SCD is associated with coronary heart disease, which may first be detected at autopsy. The ankle-brachial index (ABI) is a simple, noninvasive measure of subclinical atherosclerosis. The purpose of this study was to examine the relationship between ABI and SCD in a middle-aged biracial general population. METHODS AND RESULTS Participants of the ARIC (Atherosclerosis Risk in Communities) study with an ABI measurement between 1987 and 1989 were included. ABI was categorized as low (≤0.90), borderline (0.90-1.00), normal (1.00-1.40), and noncompressible (>1.40). SCD was defined as a sudden pulseless condition presumed to be caused by a ventricular tachyarrhythmia in a previously stable individual and was adjudicated by a committee of cardiac electrophysiologists, cardiologists, and internists. Cox proportional hazards models were used to evaluate the associations between baseline ABI and incident SCD. Of the 15 081 participants followed for a median of 23.5 years, 556 (3.7%) developed SCD (1.96 cases per 1000 person-years). Low and borderline ABIs were associated with an increased risk of SCD (demographically adjusted hazard ratios [HRs], 2.27 [95% CI, 1.64-3.14] and 1.52 [95% CI, 1.17-1.96], respectively) compared with normal ABI. The association between low ABI and SCD remained significant after adjustment for traditional cardiovascular risk factors (HR, 1.63 [95% CI, 1.15-2.32]). CONCLUSIONS Low ABI is independently associated with an increased risk of SCD in a middle-aged biracial general population. ABI could be incorporated into future SCD risk prediction models.
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Affiliation(s)
- Takeki Suzuki
- Department of MedicineIndiana University School of MedicineIndianapolisINUSA
| | - Xiaoqian Zhu
- Center of Biostatistics and BioinformaticsUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Selcuk Adabag
- Veterans Administration Medical CenterMinneapolisMNUSA
| | - Kunihiro Matsushita
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
| | - Kenneth R. Butler
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Michael E. Griswold
- Center of Biostatistics and BioinformaticsUniversity of Mississippi Medical CenterJacksonMSUSA
| | - Alvaro Alonso
- Department of EpidemiologyEmory UniversityAtlantaGAUSA
| | - Wayne Rosamond
- Department of EpidemiologyUniversity of North Carolina School of Public HealthChapel HillNCUSA
| | - Nona Sotoodehnia
- Cardiovascular Health Research UnitUniversity of WashingtonSeattleWAUSA
| | - Thomas H. Mosley
- Department of MedicineUniversity of Mississippi Medical CenterJacksonMSUSA
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Mok Y, Dardari Z, Sang Y, Hu X, Bancks MP, Mathews L, Hoogeveen RC, Koton S, Blaha MJ, Post WS, Ballantyne CM, Coresh J, Rosamond W, Matsushita K. Universal Risk Prediction for Individuals With and Without Atherosclerotic Cardiovascular Disease. J Am Coll Cardiol 2024; 83:562-573. [PMID: 38296400 DOI: 10.1016/j.jacc.2023.11.028] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/18/2023] [Accepted: 11/07/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND American College of Cardiology/American Heart Association guidelines recommend distinct risk classification systems for primary and secondary cardiovascular disease prevention. However, both systems rely on similar predictors (eg, age and diabetes), indicating the possibility of a universal risk prediction approach for major adverse cardiovascular events (MACEs). OBJECTIVES The authors examined the performance of predictors in persons with and without atherosclerotic cardiovascular disease (ASCVD) and developed and validated a universal risk prediction model. METHODS Among 9,138 ARIC (Atherosclerosis Risk In Communities) participants with (n = 609) and without (n = 8,529) ASCVD at baseline (1996-1998), we examined established predictors in the risk classification systems and other predictors, such as body mass index and cardiac biomarkers (troponin and natriuretic peptide), using Cox models with MACEs (myocardial infarction, stroke, and heart failure). We also evaluated model performance. RESULTS Over a follow-up of approximately 20 years, there were 3,209 MACEs (2,797 for no prior ASCVD). Most predictors showed similar associations with MACE regardless of baseline ASCVD status. A universal risk prediction model with the predictors (eg, established predictors, cardiac biomarkers) identified by least absolute shrinkage and selection operator regression and bootstrapping showed good discrimination for both groups (c-statistics of 0.747 and 0.691, respectively), and risk classification and showed excellent calibration, irrespective of ASCVD status. This universal prediction approach identified individuals without ASCVD who had a higher risk than some individuals with ASCVD and was validated externally in 5,322 participants in the MESA (Multi-Ethnic Study of Atherosclerosis). CONCLUSIONS A universal risk prediction approach performed well in persons with and without ASCVD. This approach could facilitate the transition from primary to secondary prevention by streamlining risk classification and discussion between clinicians and patients.
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Affiliation(s)
- Yejin Mok
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Zeina Dardari
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiao Hu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Michael P Bancks
- Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Lena Mathews
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ron C Hoogeveen
- Department of Medicine, Section of Cardiovascular Research, Baylor College of Medicine and Houston Methodist DeBakey Heart and Vascular Center, Houtson, Texas, USA
| | - Silvia Koton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Stanley Steyer School of Health Professions, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Michael J Blaha
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Christie M Ballantyne
- Department of Medicine, Section of Cardiovascular Research, Baylor College of Medicine and Houston Methodist DeBakey Heart and Vascular Center, Houtson, Texas, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Islek D, Alonso A, Rosamond W, Guild CS, Butler KR, Ali MK, Manatunga A, Naimi AI, Vaccarino V. Racial Differences in Fatal Out-of-Hospital Coronary Heart Disease and the Role of Income in the Atherosclerosis Risk in Communities Cohort Study (1987 to 2017). Am J Cardiol 2023; 194:102-110. [PMID: 36914508 PMCID: PMC10079596 DOI: 10.1016/j.amjcard.2023.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/16/2023] [Accepted: 01/22/2023] [Indexed: 03/16/2023]
Abstract
Black patients have higher incident fatal coronary heart disease (CHD) rates than do their White counterparts. Racial differences in out-of-hospital fatal CHD could explain the excess risk in fatal CHD among Black patients. We examined racial disparities in in- and out-of-hospital fatal CHD among participants with no history of CHD, and whether socioeconomic status might play a role in this association. We used data from the ARIC (Atherosclerosis Risk in Communities) study, including 4,095 Black and 10,884 White participants, followed between 1987 and 1989 until 2017. Race was self-reported. We examined racial differences in in- and out-of-hospital fatal CHD with hierarchical proportional hazard models. We then examined the role of income in these associations, using Cox marginal structural models for a mediation analysis. The incidence of out-of-hospital and in-hospital fatal CHD was 1.3 and 2.2 in Black participants, and 1.0 and 1.1 in White participants, respectively, per 1,000 person-years. The gender- and age-adjusted hazard ratios comparing out-of-hospital and in-hospital incident fatal CHD in Black with that in White participants were 1.65 (1.32 to 2.07) and 2.37 (1.96 to 2.86), respectively. The income-controlled direct effects of race in Black versus White participants decreased to 1.33 (1.01 to 1.74) for fatal out-of-hospital and to 2.03 (1.61 to 2.55) for fatal in-hospital CHD in Cox marginal structural models. In conclusion, higher rates of fatal in-hospital CHD in Black participants than in their White counterparts likely drive the overall racial differences in fatal CHD. Income largely explained racial differences in both fatal out-of-hospital CHD and fatal in-hospital CHD.
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Affiliation(s)
- Duygu Islek
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia; Department of Epidemiology, Laney Graduate School, Emory University, Atlanta, Georgia.
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Cameron S Guild
- Department of Medicine, Division of Cardiology, School of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Kenneth R Butler
- Department of Medicine: Division of Geriatrics, School of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Mohammed K Ali
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| | - Amita Manatunga
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Ashley I Naimi
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia; Division of Cardiology, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia
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Sen S, Meyer J, Mascari R, Trivedi T, Suri F, Wasserman B, Rosamond W, Moss K, Beck J, Gottesman RF. Association of Dental Infections with Intracranial Atherosclerotic Stenosis. Cerebrovasc Dis 2023; 53:28-37. [PMID: 37121226 DOI: 10.1159/000530829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 04/24/2023] [Indexed: 05/02/2023] Open
Abstract
INTRODUCTION Periodontal disease (PD) and dental caries are oral infections leading to tooth loss that are associated with atherosclerosis and cerebrovascular disease. We assessed the hypothesis that PD and caries are associated with asymptomatic intracranial atherosclerosis (ICAS) in the Atherosclerosis Risk in Communities (ARIC) study. METHODS Full-mouth clinical periodontal measurements (7 indices) collected at 6 sites per tooth from 6,155 subjects from the Dental Atherosclerosis Risk in Communities Study (DARIC) without prior stroke were used to differentiate seven PD stages (Periodontal Profile Class [PPC]-I to -VII) and dental caries on coronal dental surface (DS) and dental root surface (DRS). A stratified subset underwent 3D time-of-flight MR angiogram and 3D high isotropic-resolution black blood MRI. ICAS was graded according to the criteria established by the Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) trial. We evaluated the relationship between PD stage and dental caries with asymptomatic ICAS, graded as no ICAS, <50% ICAS, and ≥50% ICAS. RESULTS Among dentate subjects who underwent vascular imaging, 801 (70%) had no ICAS, 232 (20%) had <50% ICAS, and 112 (10%) had ≥50% ICAS. Compared to participants without gum disease (PPC-I), participants with mild-moderate tooth loss (PPC-VI), severe tooth loss (PPC-VII), and severe PD (PPC-IV) had higher odds of having <50% ICAS. Participants with extensive gingivitis (PPC-V) had significantly higher odds of having ≥50% ICAS. This association remained significant after adjusting for confounding variables: age, gender, race, hypertension, diabetes, dyslipidemia, 3-level education, and smoking status. There was no association between dental caries (DS and DRS) and ICAS <50% and ≥50%. CONCLUSION We report significant associations between mild-moderate tooth loss, severe tooth loss, and severe PD with <50% ICAS as well as an association between extensive gingivitis and ≥50% ICAS. We did not find an association between dental caries and ICAS.
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Affiliation(s)
- Souvik Sen
- Department of Neurology, University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Jaclyn Meyer
- Department of Neurology, University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Rachel Mascari
- Department of Neurology, University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Tushar Trivedi
- Department of Neurology, University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Fareed Suri
- Department of Neurology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Bruce Wasserman
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland, USA
| | - Wayne Rosamond
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kevin Moss
- Division of Oral and Craniofacial Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - James Beck
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Division of Comprehensive Oral Health/Periodontology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Rebecca F Gottesman
- Stroke Branch, National Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, Maryland, USA
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Sivaraj K, Arora S, Hendrickson M, Slehria T, Chang PP, Weickert T, Vaduganathan M, Qamar A, Pandey A, Caughey MC, Cavender MA, Rosamond W, Vavalle JP. Epidemiology and Outcomes of Aortic Stenosis in Acute Decompensated Heart Failure: The ARIC Study. Circ Heart Fail 2023; 16:e009653. [PMID: 36734224 PMCID: PMC10033327 DOI: 10.1161/circheartfailure.122.009653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 10/28/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND Few studies characterize the epidemiology and outcomes of aortic stenosis (AS) in acute decompensated heart failure (ADHF). This study investigates the significance of AS in contemporary patients who have experienced an ADHF hospitalization. METHODS The ARIC study (Atherosclerosis Risk in Communities) surveilled ADHF hospitalizations for residents ≥55 years of age in 4 US communities. ADHF cases were stratified by left ventricular ejection fraction (LVEF). Demographic differences in AS burden and the association of varying AS severities with mortality were estimated using multivariable logistic regression. RESULTS From 2005 through 2014, there were 3597 (weighted n=16 692) ADHF hospitalizations of which 48.6% had an LVEF <50% and 51.4% an LVEF ≥50%. AS prevalence was 12.1% and 18.7% in those with an LVEF <50% and ≥50%, respectively. AS was less likely in Black than White patients regardless of LVEF: LVEF <50% (odds ratio [OR], 0.34 [95% CI, 0.28-0.42]); LVEF ≥50% (OR, 0.51 [95% CI, 0.44-0.59]). Higher AS severity was independently associated with 1-year mortality in both LVEF subgroups: LVEF <50% (OR, 1.16 [95% CI, 1.04-1.28]); LVEF ≥50% (OR, 1.40 [95% CI, 1.28-1.54]). Sensitivity analyses excluding severe AS patients detected that mild/moderate AS was independently associated with 1-year mortality in both LVEF subgroups: LVEF <50% (OR, 1.23 [95% CI, 1.02-1.47]); LVEF ≥50% (OR, 1.31 [95% CI, 1.14-1.51]). CONCLUSIONS Among patients who have experienced an ADHF hospitalization, AS is prevalent and portends poor mortality outcomes. Notably, mild/moderate AS is independently associated with 1-year mortality in this high-risk population.
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Affiliation(s)
- Krishan Sivaraj
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Sameer Arora
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Michael Hendrickson
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Trisha Slehria
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Patricia P. Chang
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Thelsa Weickert
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Muthiah Vaduganathan
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Arman Qamar
- Division of Cardiology, New York University Grossman School of Medicine, New York, New York
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Melissa C. Caughey
- Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, NC
| | - Matthew A. Cavender
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - John P. Vavalle
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, NC
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Islek D, Alonso A, Rosamond W, Kucharska-Newton A, Mok Y, Matsushita K, Koton S, Blaha MJ, Ali MK, Manatunga A, Vaccarino V. Differences in incident and recurrent myocardial infarction among White and Black individuals aged 35 to 84: Findings from the ARIC community surveillance study. Am Heart J 2022; 253:67-75. [PMID: 35660476 PMCID: PMC10007857 DOI: 10.1016/j.ahj.2022.05.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/25/2022] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND No previous study has examined racial differences in recurrent acute myocardial infarction (AMI) in a community population. We aimed to examine racial differences in recurrent AMI risk, along with first AMI risk in a community population. METHODS The community surveillance of the Atherosclerosis Risk in Communities Study (2005-2014) included 470,000 people 35 to 84 years old in 4 U.S. communities. Hospitalizations for recurrent and first AMI were identified from ICD-9-CM discharge codes. Poisson regression models were used to compare recurrent and first AMI risk ratios between Black and White residents. RESULTS Recurrent and first AMI risk per 1,000 persons were 8.8 (95% CI, 8.3-9.2) and 20.7 (95% CI, 20.0-21.4) in Black men, 6.8 (95% CI, 6.5-7.0) and 14.1 (95% CI, 13.8-14.5) in White men, 5.3 (95% CI, 5.0-5.7) and 16.2 (95% CI, 15.6-16.8) in Black women, and 3.1 (95% CI, 3.0-3.3) and 8.8 (95% CI, 8.6-9.0) in White women, respectively. The age-adjusted risk ratios (RR) of recurrent AMI were higher in Black men vs White men (RR, 1.58 95% CI, 1.30-1.92) and Black women vs White women (RR, 2.09 95% CI, 1.64-2.66). The corresponding RRs were slightly lower for first AMI: Black men vs White men, RR, 1.49 (95% CI, 1.30-1.71) and Black women vs White women, RR, 1.65 (95% CI, 1.42-1.92) CONCLUSIONS: Large disparities exist by race for recurrent AMI risk in the community. The magnitude of disparities is stronger for recurrent events than for first events, and particularly among women.
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Affiliation(s)
- Duygu Islek
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; Department of Epidemiology, Laney Graduate School, Emory University, Atlanta, GA.
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Wayne Rosamond
- Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC
| | - Anna Kucharska-Newton
- Department of Epidemiology, University of North Carolina at Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC
| | - Yejin Mok
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Silvia Koton
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Nursing, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Michael Joseph Blaha
- Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD
| | - Mohammed K Ali
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; Emory Global Diabetes Research Center, Hubert Department of Global Health, Emory University, Atlanta, GA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
| | - Amita Manatunga
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; Division of Cardiology, School of Medicine, Emory University, Atlanta, GA
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Lloyd-Jones DM, Ning H, Labarthe D, Brewer L, Sharma G, Rosamond W, Foraker RE, Black T, Grandner MA, Allen NB, Anderson C, Lavretsky H, Perak AM. Status of Cardiovascular Health in US Adults and Children Using the American Heart Association's New "Life's Essential 8" Metrics: Prevalence Estimates From the National Health and Nutrition Examination Survey (NHANES), 2013 Through 2018. Circulation 2022; 146:822-835. [PMID: 35766033 DOI: 10.1161/circulationaha.122.060911] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND The American Heart Association recently published an updated algorithm for quantifying cardiovascular health (CVH)-the Life's Essential 8 score. We quantified US levels of CVH using the new score. METHODS We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression. RESULTS There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9-65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4-66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2-68.7), and racial and ethnic group (range, 59.7-68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8-47.7), nicotine exposure (range, 63.1-85.0), blood glucose (range, 65.7-88.1), and blood pressure (range, 49.5-84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1-88.3) and body mass index (range, 74.4-89.4) scores by sociodemographic group. CONCLUSIONS The new Life's Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.
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Affiliation(s)
- Donald M Lloyd-Jones
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Hongyan Ning
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Darwin Labarthe
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | | | - Garima Sharma
- Johns Hopkins University School of Medicine, Baltimore, MD (G.S.)
| | - Wayne Rosamond
- University of North Carolina Gillings School of Public Health, Chapel Hill (W.R.)
| | - Randi E Foraker
- Washington University School of Medicine, St Louis, MO (R.E.F.)
| | - Terrie Black
- University of Massachusetts Amherst College of Nursing (T.B.)
| | | | - Norrina B Allen
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
| | - Cheryl Anderson
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla (C.A.)
| | | | - Amanda M Perak
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.)
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8
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Lloyd-Jones DM, Allen NB, Anderson CAM, Black T, Brewer LC, Foraker RE, Grandner MA, Lavretsky H, Perak AM, Sharma G, Rosamond W. Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation 2022; 146:e18-e43. [PMID: 35766027 PMCID: PMC10503546 DOI: 10.1161/cir.0000000000001078] [Citation(s) in RCA: 485] [Impact Index Per Article: 242.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.
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Eckhardt CM, Balte PP, Barr RG, Bertoni AG, Bhatt SP, Cuttica M, Cassano PA, Chaves P, Couper D, Jacobs DR, Kalhan R, Kronmal R, Lange L, Loehr L, London SJ, O’Connor GT, Rosamond W, Sanders J, Schwartz JE, Shah A, Shah SJ, Smith L, White W, Yende S, Oelsner EC. Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study. Eur Heart J 2022; 43:2196-2208. [PMID: 35467708 PMCID: PMC9631233 DOI: 10.1093/eurheartj/ehac205] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 02/06/2022] [Accepted: 03/22/2022] [Indexed: 12/16/2022] Open
Abstract
AIMS The aim is to evaluate associations of lung function impairment with risk of incident heart failure (HF). METHODS AND RESULTS Data were pooled across eight US population-based cohorts that enrolled participants from 1987 to 2004. Participants with self-reported baseline cardiovascular disease were excluded. Spirometry was used to define obstructive [forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <0.70] or restrictive (FEV1/FVC ≥0.70, FVC <80%) lung physiology. The incident HF was defined as hospitalization or death caused by HF. In a sub-set, HF events were sub-classified as HF with reduced ejection fraction (HFrEF; EF <50%) or preserved EF (HFpEF; EF ≥50%). The Fine-Gray proportional sub-distribution hazards models were adjusted for sociodemographic factors, smoking, and cardiovascular risk factors. In models of incident HF sub-types, HFrEF, HFpEF, and non-HF mortality were treated as competing risks. Among 31 677 adults, there were 3344 incident HF events over a median follow-up of 21.0 years. Of 2066 classifiable HF events, 1030 were classified as HFrEF and 1036 as HFpEF. Obstructive [adjusted hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.07-1.27] and restrictive physiology (adjusted HR 1.43, 95% CI 1.27-1.62) were associated with incident HF. Obstructive and restrictive ventilatory defects were associated with HFpEF but not HFrEF. The magnitude of the association between restrictive physiology and HFpEF was similar to associations with hypertension, diabetes, and smoking. CONCLUSION Lung function impairment was associated with increased risk of incident HF, and particularly incident HFpEF, independent of and to a similar extent as major known cardiovascular risk factors.
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Affiliation(s)
- Christina M Eckhardt
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Robert Graham Barr
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
| | - Alain G Bertoni
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Surya P Bhatt
- Division of Pulmonary, University of Alabama at Birmingham, Allergy and Critical Care Medicine, Birmingham, AL, USA
| | - Michael Cuttica
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, College of Human Ecology, Cornell, NY, USA
| | - Paolo Chaves
- Department of Health and Society, Florida International University, Miami, FL, USA
| | - David Couper
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN, USA
| | - Ravi Kalhan
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Richard Kronmal
- Department of Statistics, University of Washington, School of Public Health, Seattle, WA, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado, Denver, CO, USA
| | - Laura Loehr
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | | | - Wayne Rosamond
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Jason Sanders
- Division of Pulmonary Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Joseph E Schwartz
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Amil Shah
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Sanjiv J Shah
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Lewis Smith
- Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Wendy White
- Undergraduate Training and Education Center, Tougaloo College, Jackson Heart Study, Jackson, MS, USA
| | - Sachin Yende
- Department of Critical Care Medicine, Veterans Affairs Pittsburgh Healthcare System and University of Pittsburgh, Pittsburgh, PA, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University College of Physicians and Surgeons, 630 West 168th Street, Presbyterian Hospital 9th Floor, Suite 105, New York, NY 10032, USA
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10
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Zègre-Hemsey JK, Hogg M, Crandell J, Pelter MM, Gettes L, Chung EH, Pearson D, Tochiki P, Studnek JR, Rosamond W. Prehospital ECG with ST-depression and T-wave inversion are associated with new onset heart failure in individuals transported by ambulance for suspected acute coronary syndrome. J Electrocardiol 2021; 69S:23-28. [PMID: 34456036 DOI: 10.1016/j.jelectrocard.2021.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/07/2021] [Accepted: 08/05/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Prehospital electrocardiogram(s) (ECG) can improve early detection of acute coronary syndrome (ST-segment elevation myocardial infarction [STEMI], non-STEMI, and unstable angina) and inform prehospital activation of cardiac catheterization lab; thus, reducing total ischemic time and improving patient outcomes. Less is known, however, about the association of prehospital ECG ischemic findings and long term adverse clinical events. With this in mind, this study was designed to examine the: 1) frequency of prehospital ECGs for acute myocardial ischemia (ST-elevation, ST-depression, and/or T-wave inversion); and, 2) whether any of these specific ECG features are associated with adverse clinical events within 30 day of initial presentation to the emergency department (ED). METHODS We included consecutive patients ≥ 21 years during a five-year period (2013-2017), who were transported by ambulance to the ED with non-traumatic chest pain and/or anginal equivalent(s) and had a prehospital 12‑lead ECG. Two cardiologists (LG, EC), blinded to clinical data, interpreted the 12‑lead ECGs applying current guideline based ischemia criteria. Adverse clinical events, return to ED, and rehospitalization evaluated at 30-days. RESULTS We identified 3646 patients (mean age, 59.7 years ±15.7; 45% female) with ECGs, of which N = 3587 had data on the three ischemic markers of interest. Of these, 1762 (49.1%) had ECG evidence of ischemia. In adjusted logistic regression models, those with T-wave inversion had a higher odds (OR = 1.59) of new onset heart failure, while ST-elevation was associated with lower odds (OR = 0.69). Patients with ST-depression had higher odds of new onset heart failure and death within 30 days (OR = 1.29, 1.49 respectively), but this association attenuated after controlling for other ECG features. CONCLUSIONS ST-depression and/or T-wave inversion are independent predictors of new onset heart failure, within 30 days of initial ED presentation. Our study in a large cohort of patients, suggests that using ECG ST-elevation alone may not capture patients with ischemia who may benefit from aggressive anti-ischemic therapies to reduce myocardial damage with resultant heart failure.
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Affiliation(s)
| | - Melanie Hogg
- Atrium Health's Carolinas Medical Center, Charlotte, NC, USA
| | - Jamie Crandell
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michele M Pelter
- University of California at San Francisco, San Francisco, CA, USA
| | - Len Gettes
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - David Pearson
- Atrium Health's Carolinas Medical Center, Charlotte, NC, USA
| | - Pilar Tochiki
- Atrium Health's Carolinas Medical Center, Charlotte, NC, USA
| | | | - Wayne Rosamond
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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11
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Mok Y, Ballew SH, Stacey RB, Rossi J, Koton S, Kucharska-Newton A, Chang PP, Coresh J, Rosamond W, Matsushita K. Albuminuria and Prognosis Among Individuals With Atherosclerotic Cardiovascular Disease: The ARIC Study. J Am Coll Cardiol 2021; 78:87-89. [PMID: 34210419 DOI: 10.1016/j.jacc.2021.04.089] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 11/24/2022]
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12
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Wong E, Rosamond W, Patel MD, Waller AE. Statewide declines in myocardial infarction and stroke emergency department visits during COVID-19 restrictions in North Carolina. Am J Emerg Med 2021; 56:288-289. [PMID: 34417069 PMCID: PMC8295045 DOI: 10.1016/j.ajem.2021.07.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/06/2021] [Accepted: 07/17/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- Eugenia Wong
- Department of Epidemiology, University of North Carolina at Chapel Hill, 123 W. Franklin Street, Suite 410, Chapel Hill, NC 27516, USA.
| | - Wayne Rosamond
- Department of Epidemiology, University of North Carolina at Chapel Hill, 123 W. Franklin Street, Suite 410, Chapel Hill, NC 27516, USA.
| | - Mehul D Patel
- Department of Emergency Medicine, University of North Carolina at Chapel Hill, 170 Manning Dr. CB #7594, Chapel Hill, NC 27599, USA.
| | - Anna E Waller
- Carolina Center for Health Informatics, Department of Emergency Medicine, University of North Carolina at Chapel Hill, 100 Market Street, Suite 1, Chapel Hill, NC 27516, USA.
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13
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Breen KM, Finnegan L, Vuckovic KM, Fink AM, Rosamond W, DeVon HA. Multimorbidity phenotypes in patients presenting to the emergency department with possible acute coronary syndrome. Heart Lung 2021; 50:648-653. [PMID: 34098234 DOI: 10.1016/j.hrtlng.2021.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 05/05/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Multimorbidity (> 2 conditions) increases the risk of adverse outcomes and challenges health care systems for patients with acute coronary syndrome (ACS). These complications may be partially attributed to ACS clinical care which is driven by single-disease-based practice guidelines; current guidelines do not consider multimorbidity. OBJECTIVES To identify multimorbidity phenotypes (combinations of conditions) with suspected ACS. We hypothesized that: 1) subgroups of patients with similar multimorbidity phenotypes could be identified, 2) classes would differ according to diagnosis, and 3) class membership would differ by sex, age, functional status, family history, and discharge diagnosis. METHODS This was a secondary analysis of data from a large multi-site clinical study of patients with suspected ACS. Conditions were determined by items on the Charlson Comorbidity Index and the ACS Patient Information Questionnaire. Latent class analysis was used to identify phenotypes. RESULTS The sample (n = 935) was predominantly male (68%) and middle-aged (mean= 59 years). Four multimorbidity phenotypes were identified: 1) high multimorbidity (Class 1) included hyperlipidemia, hypertension (HTN), obesity, diabetes, and respiratory disorders (COPD or asthma); 2) low multimorbidity (Class 2) included only obesity; 3) cardiovascular multimorbidity (Class 3) included HTN, hyperlipidemia, and coronary heart disease; and 4) cardio-oncology multimorbidity (Class 4) included HTN, hyperlipidemia, and cancer. Patients ruled-in for ACS primarily clustered in Classes 3 and 4 (OR 2.82, 95% CI 1.95-4.05, p = 0.001 and OR 1.76, 95% CI 1.13-2.74, p = 0.01). CONCLUSION Identifying and understanding multimorbidity phenotypes may assist with risk-stratification and better triage of high-risk patients in the emergency department.
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Affiliation(s)
- Katherine M Breen
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Atlanta, GA 30322, United States.
| | - Lorna Finnegan
- Loyola University Chicago, Marcella Niehoff School of Nursing, Chicago, IL, United States
| | - Karen M Vuckovic
- University of Illinois at Chicago, College of Nursing, Department of Biobehavioral Health Science, Chicago, IL, United States
| | - Anne M Fink
- University of Illinois at Chicago, College of Nursing, Department of Biobehavioral Health Science, Chicago, IL, United States
| | - Wayne Rosamond
- University of North Carolina, Gillings School of Global Public Health, Chapel Hill, NC, United States
| | - Holli A DeVon
- University of California Los Angeles School of Nursing, Los Angeles, CA, United States
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14
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Sen S, Redd K, Trivedi T, Moss K, Alonso A, Soliman EZ, Magnani JW, Chen LY, Gottesman RF, Rosamond W, Beck J, Offenbacher S. Periodontal Disease, Atrial Fibrillation and Stroke. Am Heart J 2021; 235:36-43. [PMID: 33503409 PMCID: PMC8084947 DOI: 10.1016/j.ahj.2021.01.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 01/10/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND We recently described the association between periodontal disease (PD) and stroke risk. PURPOSE The purpose of this study was to test the association between PD, dental care utilization and incident atrial fibrillation (AF), as well as AF as a mediator to PD- stroke association. METHODS In dental cohort of the Atherosclerosis Risk in Communities Study (ARIC), participants without prior AF underwent full-mouth periodontal measurements. PD was defined on an ordinal scale as healthy (referent), mild, moderate and severe. In ARIC main cohort, participants were classified as regular or episodic dental care users. These patients were followed for AF, over 17 years. Cox proportional hazards models adjusted for AF risk factors were used to study relationships between PD severity, dental care utilization and AF. Mediation analysis was used to test if AF mediated the PD- stroke association. RESULTS In dental ARIC cohort, 5,958 were assessed without prior AF, 754 were found to have AF. Severe PD was associated with AF on both univariable (crude HR, 1.54; 95% CI, 1.26-1.87) and multivariable (adjusted HR, 1.31, 95% CI, 1.06-1.62) analyses. Mediation analysis suggested AF mediates the association between PD and stroke. In the main ARIC cohort, 9,666 participants without prior AF were assessed for dental care use, 1558 were found to have AF. Compared with episodic users, regular users had a lower risk for AF on univariable (crude HR, 0.82, 95% CI, 0.74-0.90) and multivariable (adjusted HR, 0.88, 95% CI, 0.78-0.99) analyses. CONCLUSIONS PD is associated with AF. The association may explain the PD-stroke risk. Regular users had a lower risk of incident AF compared with episodic users.
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Affiliation(s)
- Souvik Sen
- Department of Neurology, University of South Carolina, School of Medicine, Columbia, SC.
| | - Kolby Redd
- Department of Neurology, University of South Carolina, School of Medicine, Columbia, SC
| | - Tushar Trivedi
- Department of Neurology, University of South Carolina, School of Medicine, Columbia, SC
| | - Kevin Moss
- Department of Periodontology, University of North Carolina, Chapel Hill, NC
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Elsayed Z Soliman
- Department of Epidemiology and Internal Medicine, Wake Forest School of Medicine, Winston Salem, NC
| | - Jared W Magnani
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Lin Y Chen
- Department of Medicine, University of Minnesota, Minneapolis, MN
| | - Rebecca F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC
| | - James Beck
- Department of Periodontology, University of North Carolina, Chapel Hill, NC
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15
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Arora S, Sivaraj K, Hendrickson M, Chang PP, Weickert T, Qamar A, Vaduganathan M, Caughey MC, Pandey A, Cavender MA, Rosamond W, Vavalle JP. Prevalence and Prognostic Significance of Mitral Regurgitation in Acute Decompensated Heart Failure: The ARIC Study. JACC Heart Fail 2020; 9:179-189. [PMID: 33309575 DOI: 10.1016/j.jchf.2020.09.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 09/08/2020] [Accepted: 09/22/2020] [Indexed: 01/08/2023]
Abstract
OBJECTIVES This study investigates the prevalence and prognostic significance of mitral regurgitation (MR) in acute decompensated heart failure (ADHF) patients. BACKGROUND Few studies characterize the burden of MR in heart failure. METHODS The ARIC (Atherosclerosis Risk In Communities) study surveilled ADHF hospitalizations for residents ≥55 years of age in 4 U.S. communities. ADHF cases were stratified by left ventricular ejection fraction (LVEF): <50% and ≥50%. Odds of moderate or severe MR in patients with varying sex and race, and odds of 1-year mortality in those with higher MR severity were estimated using multivariable logistic regression. RESULTS From 2005 to 2014, there were 17,931 weighted ADHF hospitalizations of which 49.2% had an LVEF <50% and 50.8% an LVEF ≥50%. Moderate or severe MR prevalence was 44.5% in those with an LVEF <50% and 27.5% in those with an LVEF ≥50%. Moderate or severe MR was more likely in females than males regardless of LVEF; LVEF <50% (odds ratio [OR]: 1.21 [95% confidence interval (CI): 1.11 to 1.33]), LVEF ≥50% (OR: 1.52 [95% CI: 1.36 to 1.69]). Among hospitalizations with an LVEF ≥50%, moderate or severe MR was less likely in blacks than whites (OR: 0.72 [95% CI: 0.64 to 0.82]). Higher MR severity was independently associated with increased 1-year mortality in those with an LVEF <50% (OR: 1.30 [95% CI: 1.16 to 1.45]). CONCLUSIONS Patients with ADHF have a significant MR burden that varies with sex and race. In ADHF patients with an LVEF <50%, higher MR severity is associated with excess 1-year mortality.
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Affiliation(s)
- Sameer Arora
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Krishan Sivaraj
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Michael Hendrickson
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Patricia P Chang
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Thelsa Weickert
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Arman Qamar
- NorthShore Cardiovascular Institute, NorthShore University Health System, University of Chicago Pritzker School of Medicine, Evanston, Illinois, USA
| | - Muthiah Vaduganathan
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Melissa C Caughey
- Joint Department of Biomedical Engineering, University of North Carolina and North Carolina State University, Chapel Hill, North Carolina, USA
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Matthew A Cavender
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John P Vavalle
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
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16
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French SA, Lutsey PL, Rosamond W, MacLehose RF, Cushman M, Folsom AR. Weight change over 9 years and subsequent risk of venous thromboembolism in the ARIC cohort. Int J Obes (Lond) 2020; 44:2465-2471. [PMID: 32948842 PMCID: PMC7686265 DOI: 10.1038/s41366-020-00674-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 08/05/2020] [Accepted: 09/03/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVES Weight gain increases risk of cardiovascular disease, but has not been examined extensively in relationship to venous thromboembolism (VTE). The association between weight change over 9 years and subsequent VTE among participants in the Atherosclerosis Risk in Communities (ARIC) study was examined, with a hypothesis that excess weight gain is a risk factor for VTE, relative to no weight change. SUBJECTS/METHODS Quintiles of 9-year weight change were calculated (visit 4 1996-1998 weight minus visit 1 1987-1989 weight in kg: Quintile 1: ≥-1.81 kg; Quintile 2: <-1.81 to ≤1.36 kg; Quintile 3: >1.36 to ≤4.08 kg; Quintile 4: >4.08 to ≤7.71 kg; Quintile 5: >7.71 kg). Incident VTEs from visit 4 (1996-1998) through 2015 were identified and adjudicated using medical records. Hazard ratios (HRs) were calculated using Cox models. RESULTS 529 incident VTEs were identified during an average of 19 years of follow up. Compared to Quintile 2, participants in Quintile 5 of weight change had 1.46 times the rate of incident VTE (HR = 1.46 (95% CI 1.09, 1.95), adjusted for age, race, sex, income, physical activity, smoking, and prevalent CVD). The HR for Quintile 5 was modestly attenuated to 1.38 (95% CI 1.03, 1.84) when visit 1 BMI was included in the model. When examined separately, results were significant for unprovoked VTE, but not for provoked VTE. Among those obese at visit 1, both weight gain (HR 1.86 95% CI 1.27, 2.71) and weight loss (HR 2.11 95% CI 1.39, 3.19) were associated with incident VTE, compared with normal-weight participants with no weight change. CONCLUSIONS Weight gain later life was associated with increased risk for unprovoked VTE. Among those with obesity, both weight gain and weight loss were associated with increased risk for VTE.
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Affiliation(s)
- Simone A French
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
| | - Pamela L Lutsey
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Richard F MacLehose
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mary Cushman
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Aaron R Folsom
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
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17
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Suzuki T, Wang W, Wilsdon A, Butler KR, Adabag S, Griswold ME, Nambi V, Rosamond W, Sotoodehnia N, Mosley TH. Carotid Intima-Media Thickness and the Risk of Sudden Cardiac Death: The ARIC Study and the CHS. J Am Heart Assoc 2020; 9:e016981. [PMID: 32975158 PMCID: PMC7792412 DOI: 10.1161/jaha.120.016981] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background Sudden cardiac death (SCD) is associated with severe coronary heart disease in the great majority of cases. Whether carotid intima‐media thickness (C‐IMT), a known surrogate marker of subclinical atherosclerosis, is associated with risk of SCD in a general population remains unknown. The objective of this study was to investigate the association between C‐IMT and risk of SCD. Methods and Results We examined a total of 20 862 participants: 15 307 participants of the ARIC (Atherosclerosis Risk in Communities) study and 5555 participants of the CHS (Cardiovascular Health Study). C‐IMT and common carotid artery intima‐media thickness was measured at baseline by ultrasound. Presence of plaque was judged by trained readers. Over a median of 23.5 years of follow‐up, 569 participants had SCD (1.81 cases per 1000 person‐years) in the ARIC study. Mean C‐IMT and common carotid artery intima‐media thickness were associated with risk of SCD after adjustment for traditional risk factors and time‐varying adjustors: hazard ratios (HRs) with 95% CIs for fourth versus first quartile were 1.64 (1.15–2.63) and 1.49 (1.05–2.11), respectively. In CHS, 302 participants developed SCD (4.64 cases per 1000 person‐years) over 13.1 years. Maximum C‐IMT was associated with risk of SCD after adjustment: HR (95% CI) for fourth versus first quartile was 1.75 (1.22–2.51). Presence of plaque was associated with 35% increased risk of SCD: HR (95% CI) of 1.37 (1.13–1.67) in the ARIC study and 1.32 (1.04–1.68) in CHS. Conclusions C‐IMT was associated with risk of SCD in 2 biracial community‐based cohorts. C‐IMT may be used as a marker of SCD risk and potentially to initiate early therapeutic interventions to mitigate the risk.
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Affiliation(s)
- Takeki Suzuki
- Krannert Institute of Cardiology Department of Medicine Indiana University Indianapolis IN
| | - Wanmei Wang
- Department of Biostatistics University of Mississippi Medical Center Jackson MS
| | - Anthony Wilsdon
- Department of Biostatistics University of Washington Seattle WA
| | - Kenneth R Butler
- Department of Medicine University of Mississippi Medical Center Jackson MS
| | | | - Michael E Griswold
- Department of Data Science University of Mississippi Medical Center Jackson MS
| | - Vijay Nambi
- Michael E. DeBakey Veterans Affairs Hospital Baylor College of Medicine Houston TX
| | - Wayne Rosamond
- Department of Epidemiology Gillings School of Global Public Health University of North Carolina Chapel Hill NC
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit University of Washington Seattle WA
| | - Thomas H Mosley
- Department of Medicine University of Mississippi Medical Center Jackson MS
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Mok Y, Ballew SH, Stacey RB, Rossi J, Koton S, Kucharska-Newton AM, Chang PP, Coresh J, Rosamond W, Matsushita K. Prognostic Variation Among Very High-Risk and High-Risk Individuals With Atherosclerotic Cardiovascular Disease. J Am Coll Cardiol 2020; 76:346-348. [DOI: 10.1016/j.jacc.2020.04.077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/17/2020] [Accepted: 04/20/2020] [Indexed: 10/23/2022]
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19
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Sivaraj K, Arora S, Chang P, Weickert TT, Qamar A, Vaduganathan M, Cavender MA, Rosamond W, Vavalle J. PREVALENCE AND PROGNOSTIC SIGNIFICANCE OF MITRAL REGURGITATION IN PATIENTS WITH ACUTE DECOMPENSATED HEART FAILURE: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY. J Am Coll Cardiol 2020. [DOI: 10.1016/s0735-1097(20)31795-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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20
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Kytömaa S, Hegde S, Claggett B, Udell JA, Rosamond W, Temte J, Nichol K, Wright JD, Solomon SD, Vardeny O. Association of Influenza-like Illness Activity With Hospitalizations for Heart Failure: The Atherosclerosis Risk in Communities Study. JAMA Cardiol 2020; 4:363-369. [PMID: 30916717 DOI: 10.1001/jamacardio.2019.0549] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Importance Influenza is associated with an increased risk of cardiovascular events, but to our knowledge, few studies have explored the temporal association between influenza activity and hospitalizations, especially those caused by heart failure (HF). Objective To explore the temporal association between influenza activity and hospitalizations due to HF and myocardial infarction (MI). We hypothesized that increased influenza activity would be associated with an increase in hospitalizations for HF and MI among adults in the community. Design, Setting, and Participants As part of the community surveillance component of the Atherosclerosis Risk in Communities (ARIC) study, a population-based study with hospitalizations sampled from 4 US communities, data were collected from 451 588 adults aged 35 to 84 years residing in the ARIC communities from annual cross-sectional stratified random samples of hospitalizations during October 2010 to September 2014. Exposures Monthly influenza activity, defined as the percentage of patient visits to sentinel clinicians for influenza-like illness by state, as reported by the Centers for Disease Control and Prevention Surveillance Network. Main Outcomes and Measures The monthly frequency of MI hospitalizations (n = 3541) and HF hospitalizations (n = 4321), collected through community surveillance and adjudicated as part of the ARIC Study. Results Between October 2010 and September 2014, 2042 (47.3%) and 1599 (45.1%) of the sampled patients who were hospitalized for HF and MI, respectively, were women and 2391 (53.3%) and 2013 (57.4%) were white, respectively. A 5% monthly absolute increase in influenza activity was associated with a 24% increase in HF hospitalization rates, standardized to the total population in each community, within the same month after adjusting for region, season, race/ethnicity, sex, age, and number of MI/HF hospitalizations from the month before (incidence rate ratio, 1.24; 95% CI, 1.11-1.38; P < .001), while overall influenza activity was not significantly associated with MI hospitalizations (incidence rate ratio, 1.02; 95% CI, 0.90-1.17; P = .72). Influenza activity in the months before hospitalization was not associated with either outcome. Our model suggests that in a month with high influenza activity, approximately 19% of HF hospitalizations (95% CI, 10%-28%) could be attributable to influenza. Conclusions and Relevance Influenza activity was temporally associated with an increase in HF hospitalizations across 4 influenza seasons. These data suggest that influenza may contribute to the risk of HF hospitalization in the general population.
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Affiliation(s)
- Sonja Kytömaa
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Sheila Hegde
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Brian Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Jacob A Udell
- Peter Munk Cardiac Centre, Toronto General Hospital and Cardiovascular Division, Department of Medicine, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Wayne Rosamond
- University of North Carolina at Chapel Hill, Chapel Hill
| | - Jonathan Temte
- University of Wisconsin School of Medicine and Public Health, Madison
| | - Kristin Nichol
- Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota.,University of Minnesota, Minneapolis
| | | | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Orly Vardeny
- Minneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota.,University of Minnesota, Minneapolis
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21
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Mascari R, Sen S, Suri F, Wasserman B, Gottesman R, Rosamond W, Moss K, Beck J. Abstract 136: Role of Periodontal Disease on Intracranial Atherosclerosis. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Periodontal disease (PD) is a chronic inflammatory process that affects gum and teeth. Due to the role of inflammation on atherosclerosis, we assessed the hypothesis that PD is associated with asymptomatic intracranial atherosclerosis (ICAS) in the Atherosclerosis Risk In Communities (ARIC) study.
Methods:
Full-mouth clinical periodontal measurements (7-indices) collected at 6 sites per tooth from 6155 subjects from the Dental Atherosclerosis in Communities Study (DARIC) without prior stroke were used to differentiate seven periodontal profile classes (PPCs). Of this cohort, a stratified subset underwent 3D time-of-flight MR angiogram and 3D high-isotropic resolution black blood MRI. ICAS was graded according to the criteria established by the Warfarin-Aspirin Symptomatic Intracranial Disease (WASID) trial. In this study, we evaluated the relationship between PD status and severe asymptomatic ICAS, defined as ≥50% stenosis.
Results:
Among dentate subjects who underwent vascular imaging, 1033 (90%) had 0-50% ICAS and 112 (10%) had ≥50% ICAS. Compared to participants without gum disease (PPC-A), participants with gingivitis (PPC-C) had significantly higher odds of having ≥50% ICAS (Figure 1; Crude OR 2.1, 95% CI 1.2-3.8, p=0.015). This association strengthened after adjusting for the significant confounding variables: age, hypertension, and LDL cholesterol (Adjusted OR 2.4, 95% CI 1.3-4.5, p=0.006).
Conclusion:
We report a significant association between inflammatory PD class and ≥50% asymptomatic ICAS. Because gingivitis is reversible, future studies are needed to determine if treatment of gingivitis can prevent the development and progression of ICAS, thus reducing the risk of stroke.
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Affiliation(s)
| | - Souvik Sen
- Univ of South Carolina Sch of Medicine, Columbia, SC
| | | | | | | | - Wayne Rosamond
- Univ of North Carolina Sch of Public Health, Chapel Hill, NC
| | - Kevin Moss
- Univ of North Carolina Sch of Dentistry, Chapel Hill, NC
| | - James Beck
- Univ of North Carolina Sch of Dentistry, Chapel Hill, NC
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22
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Poon AK, Meyer ML, Tanaka H, Selvin E, Pankow J, Zeng D, Loehr L, Knowles JW, Rosamond W, Heiss G. Association of insulin resistance, from mid-life to late-life, with aortic stiffness in late-life: the Atherosclerosis Risk in Communities Study. Cardiovasc Diabetol 2020; 19:11. [PMID: 31992297 PMCID: PMC6986071 DOI: 10.1186/s12933-020-0986-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 01/08/2020] [Indexed: 02/08/2023] Open
Abstract
Background Insulin resistance may contribute to aortic stiffening that leads to end-organ damage. We examined the cross-sectional association and prospective association of insulin resistance and aortic stiffness in older adults without diabetes. Methods We analyzed 2571 men and women at Visit 5 (in 2011–2013), and 2350 men and women at repeat examinations from baseline at Visit 1 (in 1987–1989) to Visit 5 (in 2011–2013). Linear regression was used to estimate the difference in aortic stiffness per standard unit of HOMA-IR, TG/HDL-C, and TyG at Visit 5. Linear mixed effects were used to assess if high, as opposed to non-high, aortic stiffness (> 75th percentile) was preceded by a faster annual rate of change in log-HOMA-IR, log-TG/HDL-C, and log-TyG from Visit 1 to Visit 5. Results The mean age of participants was 75 years, 37% (n = 957) were men, and 17% (n = 433) were African American. At Visit 5, higher HOMA-IR, higher TG/HDL-C, and higher TyG were associated with higher aortic stiffness (16 cm/s per SD (95% CI 6, 27), 29 cm/s per SD (95% CI 18, 40), and 32 cm/s per SD (95% CI 22, 42), respectively). From Visit 1 to Visit 5, high aortic stiffness, compared to non-high aortic stiffness, was not preceded by a faster annual rate of change in log-HOMA-IR from baseline to 9 years (0.030 (95% CI 0.024, 0.035) vs. 0.025 (95% CI 0.021, 0.028); p = 0.15) or 9 years onward (0.011 (95% CI 0.007, 0.015) vs. 0.011 (95% CI 0.009, 0.013); p = 0.31); in log-TG/HDL-C from baseline to 9 years (0.019 (95% CI 0.015, 0.024) vs. 0.024 (95% CI 0.022, 0.026); p = 0.06) or 9 years onward (− 0.007 (95% CI − 0.010, − 0.005) vs. − 0.009 (95% CI − 0.010, − 0.007); p = 0.08); or in log-TyG from baseline to 9 years (0.002 (95% CI 0.002, 0.003) vs. 0.003 (95% CI 0.003, 0.003); p = 0.03) or 9 years onward (0 (95% CI 0, 0) vs. 0 (95% CI 0, 0); p = 0.08). Conclusions Among older adults without diabetes, insulin resistance was associated with aortic stiffness, but the putative role of insulin resistance in aortic stiffness over the life course requires further study.
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Affiliation(s)
- Anna K Poon
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA. .,, 1620 Tremont Street, OBC 3-34, Boston, MA, 02120, USA.
| | - Michelle L Meyer
- Department of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, USA
| | - Hirofumi Tanaka
- Department of Kinesiology and Health Education, University of Texas at Austin, Austin, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| | - James Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, USA
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA
| | - Laura Loehr
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA
| | - Joshua W Knowles
- Department of Medicine and Cardiovascular Institute, Stanford University, Stanford, USA
| | - Wayne Rosamond
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, USA
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23
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Zègre-Hemsey JK, Patel M, Edwards T, Brice J, Pelter MM, Stouffer G, Rosamond W. Methods of Interpreting Prehospital Electrocardiograms in North Carolina: A Statewide Report. J Electrocardiol 2019. [DOI: 10.1016/j.jelectrocard.2019.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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24
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Zègre-Hemsey JK, Patel MD, Fernandez AR, Pelter MM, Brice J, Rosamond W. A Statewide Assessment of Prehospital Electrocardiography Approaches of Acquisition and Interpretation for ST-Elevation Myocardial Infarction Based on Emergency Medical Services Characteristics. PREHOSP EMERG CARE 2019; 24:550-556. [PMID: 31593496 DOI: 10.1080/10903127.2019.1677831] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Background: The American Heart Association recommends acquiring and interpreting prehospital electrocardiograms (ECG) for patients transported by Emergency Medical Services (EMS) to the emergency department with symptoms highly suspicious of acute coronary syndrome. If interpreted correctly, prehospital ECGs have the potential to improve early detection of ST-elevation myocardial infarction (STEMI) and inform prehospital activation of the cardiac catheterization laboratory, thus reducing total ischemic time and improving patient outcomes. Standardized protocols for prehospital ECG interpretation methods are lacking due to variations in EMS system design, training, and procedures. Objectives: We aimed to describe approaches for prehospital ECG interpretation in EMS systems across North Carolina (NC), and examine potential differences among systems. Methods: A 35-item internet survey was sent to all NC EMS systems (n = 99). Questions pertaining to prehospital ECG interpretation methods included: paramedic, computerized algorithm (i.e., software interpretation), combined approaches, and/or transmission for physician interpretation, transmission capability, cardiac catheterization laboratory activation, and EMS system characteristics (e.g. rural versus urban). Data were summarized and compared. Results: A total of 96 EMS systems across NC responded to the survey (97% response rate); of these, 69% were rural. EMS medical directors (53%) or EMS administrative directors (42%) completed the majority of surveys. While 91% of EMS systems had a prehospital ECG interpretation protocol in place, only 61% had a written cardiac catheterization laboratory activation policy. More than half (55%) of systems reported paramedic interpretation of prehospital ECGs, followed by a combined paramedic and software interpretation approach (39%), physician interpretation (4%), or software interpretation only approach (2%). Nearly 80% of EMS systems transmitted prehospital ECGs to receiving hospitals (always or sometimes), regardless of interpretation method. All EMS systems had some paid versus non-paid EMS personnel and the majority (86%) had both basic and advanced life support capabilities. Conclusions: Most NC EMS systems had a paramedic only ECG interpretation or paramedic in combination with a computerized algorithm approach. Very few used a physician read approach following transmission, even in rural service areas.
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25
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Mok Y, Sang Y, Ballew SH, Hoogeveen RC, Ballantyne CM, Rosamond W, Coresh J, Selvin E, Matsushita K. Premorbid levels of high-sensitivity cardiac troponin T and natriuretic peptide and prognosis after incident myocardial infarction. Am Heart J 2019; 216:62-73. [PMID: 31404723 PMCID: PMC6842707 DOI: 10.1016/j.ahj.2019.07.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 07/05/2019] [Indexed: 12/22/2022]
Abstract
High-sensitivity cardiac troponin T (hs-cTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) at the time of myocardial infarction (MI) are strong predictors of prognosis. However, whether their premorbid (before MI occurrence) levels are associated with prognosis after incident MI is unknown. METHODS In 1,054 participants from the Atherosclerosis Risk in Communities Study with incident MI, we evaluated premorbid levels of hs-cTnT and NT-proBNP measured on median 5.8 (interquartile interval 3.0-11.5 [mean 5.5]) years prior to incident MI and their associations with subsequent composite and individual outcomes of all-cause mortality, cardiovascular mortality, recurrent MI, heart failure, and stroke. RESULTS During a median follow-up of 3.0 years after MI, 801 participants developed the composite outcome. Both hs-cTnT and NT-proBNP were independently associated with the composite outcome after incident MI. Among individual outcomes, all-cause mortality, cardiovascular mortality, and heart failure showed significant associations with both cardiac markers. Overall, NT-proBNP demonstrated a more evident relationship than hs-cTnT. Indeed, the addition of premorbid NT-proBNP alone, but not hs-cTnT alone, to conventional predictors at incident MI significantly improved risk prediction of the composite outcome after incident MI (Δc-statistic 0.013 [95% CI 0.005-0.022] from 0.691 with conventional predictors). CONCLUSIONS Premorbid levels of hs-cTnT and NT-proBNP assessed on average 6 years prior to incident MI were associated with adverse outcomes after incident MI. These results further highlight the importance of cardiac health at an earlier stage of life.
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Affiliation(s)
- Yejin Mok
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yingying Sang
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shoshana H Ballew
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ron C Hoogeveen
- Department of Medicine, Section of Cardiovascular Research, Baylor College of Medicine and Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA
| | - Christie M Ballantyne
- Department of Medicine, Section of Cardiovascular Research, Baylor College of Medicine and Houston Methodist DeBakey Heart and Vascular Center, Houston, TX, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Josef Coresh
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Elizabeth Selvin
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kunihiro Matsushita
- Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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26
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Muller CJ, Alonso A, Forster J, Vock DM, Zhang Y, Gottesman RF, Rosamond W, Longstreth WT, MacLehose RF. Stroke Incidence and Survival in American Indians, Blacks, and Whites: The Strong Heart Study and Atherosclerosis Risk in Communities Study. J Am Heart Assoc 2019; 8:e010229. [PMID: 31189396 PMCID: PMC6645631 DOI: 10.1161/jaha.118.010229] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background American Indians (AIs) have high stroke morbidity and mortality. We compared stroke incidence and mortality in AIs, blacks, and whites. Methods and Results Pooled data from 2 cardiovascular disease cohort studies included 3182 AIs from the SHS (Strong Heart Study), aged 45 to 74 years at baseline (1988–1990) and 3765 blacks and 10 413 whites from the ARIC (Atherosclerosis Risk in Communities) Study, aged 45 to 64 years at baseline (1987–1989). Stroke surveillance was based on self‐report, hospital records, and death certificates. We estimated hazard ratios for incident stroke (ischemic and hemorrhagic combined) through 2008, stratified by sex and birth‐year tertile, and relative risk for poststroke mortality. Incident strokes numbered 282 for AIs, 416 for blacks, and 613 for whites. For women and men, stroke incidence among AIs was similar to or lower than blacks and higher than whites. Covariate adjustment resulted in lower hazard ratios for most comparisons, but results for these models were not always statistically significant. After covariate adjustment, AI women and men had higher 30‐day poststroke mortality than blacks (relative risk=2.1 [95% CI=1.0, 3.2] and 2.2 [95% CI=1.3, 3.1], respectively), and whites (relative risk=1.6 [95% CI=0.8, 2.5] and 1.7 [95% CI=1.1, 2.4]), and higher 1‐year mortality (relative risk range=1.3–1.5 for all comparisons). Conclusions Stroke incidence in AIs was lower than for blacks and higher than for whites; differences were larger for blacks and smaller for whites after covariate adjustment. Poststroke mortality was higher in AIs than blacks and whites.
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Affiliation(s)
- Clemma J Muller
- 1 Elson S. Floyd College of Medicine Washington State University Seattle WA
| | - Alvaro Alonso
- 2 Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA
| | - Jean Forster
- 3 Division of Epidemiology University of Minnesota Minneapolis MN
| | - David M Vock
- 4 Division of Biostatistics University of Minnesota Minneapolis MN
| | - Ying Zhang
- 5 Department of Biostatistics and Epidemiology University of Oklahoma Health Sciences Center Oklahoma City OK
| | - Rebecca F Gottesman
- 6 Departments of Neurology and Epidemiology Johns Hopkins University Baltimore MD
| | - Wayne Rosamond
- 7 Department of Epidemiology Gillings School of Public Health University of North Carolina at Chapel Hill NC
| | - W T Longstreth
- 8 Departments of Neurology and Epidemiology University of Washington Seattle WA
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27
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Affiliation(s)
- Wayne Rosamond
- From the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
| | - Anna Johnson
- From the Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
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28
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Trivedi T, Androulakis M, Redd KT, Alonso A, Soliman E, Magnani J, Gottesman R, Rosamond W, Sen S. Abstract 14: Is Low Heart Rate Variability, a Marker of Autonomic Dysfunction, the Missing Link Between Migraine With Visual Aura and Cardioembolic Stroke? Stroke 2019. [DOI: 10.1161/str.50.suppl_1.14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | - Souvik Sen
- Neurology, USC Sch of Medicine, Columbia, SC
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29
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Androulakis XM, Sen S, Kodumuri N, Zhang T, Grego J, Rosamond W, Gottesman RF, Shahar E, Peterlin BL. Migraine Age of Onset and Association With Ischemic Stroke in Late Life: 20 Years Follow-Up in ARIC. Headache 2019; 59:556-566. [PMID: 30663778 DOI: 10.1111/head.13468] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE To evaluate the association between cumulative exposure to migraine and incidence of ischemic stroke in the Atherosclerosis Risk in Communities (ARIC) study. METHODS In this ongoing, prospective longitudinal community-based cohort, participants were interviewed to ascertain migraine history at the third visit (1993-1995), followed for ischemic stroke incidence over 20 years. We performed a post hoc analysis to evaluate the association between the age of migraine onset and ischemic stroke. RESULTS We identified 447 migraineurs with aura (MA) and 1128 migraineurs without aura (MO) among 11,592 black and white participants. There was an association between the age of MA onset ≥50 years old (average duration = 4.75 years) and ischemic stroke when compared to no headache group (multivariable adjusted HR = 2.17, 95% CI [1.39-3.39], P < .001). MA onset <50 years old (average duration = 28.17 years) was not associated with stroke (multivariable adjusted HR = 1.31, 95% CI [0.86-2.02], P = .212). These results were consistent with our logistic regression model. MO was not associated with increased stroke regardless of the age of onset. The absolute risk for stroke in migraine with aura is 37/447 (8.27%) and migraine without aura is 48/1128 (4.25%). CONCLUSION As compared to the no headache participants, increased stroke risk in late life was observed in participants with late onset of MA. In this cohort, longer cumulative exposure to migraine with visual aura, as would be expected with early onset of migraine, was not associated with increased risk of ischemic stroke in late life. This study underscores the importance of the age of onset of MA in assessing stroke risk in older migraineurs.
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Affiliation(s)
- X Michelle Androulakis
- Department of Neurology, University of South Carolina, Columbia, SC, USA.,WJB Dorn VA Medical Center, Columbia, SC, USA
| | - Souvik Sen
- Department of Neurology, University of South Carolina, Columbia, SC, USA
| | - Nishanth Kodumuri
- Department of Neurology, University of South Carolina, Columbia, SC, USA
| | - Tianming Zhang
- Department of Statistics, University of South Carolina, Columbia, SC, USA
| | - John Grego
- Department of Statistics, University of South Carolina, Columbia, SC, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Rebecca F Gottesman
- Departments of Neurology and Epidemiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eyal Shahar
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA
| | - B Lee Peterlin
- Lancaster General Neuroscience Institute, Lancaster, PA, USA
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30
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Andrews JE, Moore JB, Weinberg RB, Sissine M, Gesell S, Halladay J, Rosamond W, Bushnell C, Jones S, Means P, King NMP, Omoyeni D, Duncan PW. Ensuring respect for persons in COMPASS: a cluster randomised pragmatic clinical trial. J Med Ethics 2018; 44:560-566. [PMID: 29720489 PMCID: PMC6073919 DOI: 10.1136/medethics-2017-104478] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 02/01/2018] [Accepted: 03/21/2018] [Indexed: 06/08/2023]
Abstract
Cluster randomised clinical trials present unique challenges in meeting ethical obligations to those who are treated at a randomised site. Obtaining informed consent for research within the context of clinical care is one such challenge. In order to solve this problem it is important that an informed consent process be effective and efficient, and that it does not impede the research or the healthcare. The innovative approach to informed consent employed in the COMPASS study demonstrates the feasibility of upholding ethical standards without imposing undue burden on clinical workflows, staff members or patients who may participate in the research by virtue of their presence in a cluster randomised facility. The COMPASS study included 40 randomised sites and compared the effectiveness of a postacute stroke intervention with standard care. Each site provided either the comprehensive postacute stroke intervention or standard care according to the randomisation assignment. Working together, the study team, institutional review board and members of the community designed an ethically appropriate and operationally reasonable consent process which was carried out successfully at all randomised sites. This achievement is noteworthy because it demonstrates how to effectively conduct appropriate informed consent in cluster randomised trials, and because it provides a model that can easily be adapted for other pragmatic studies. With this innovative approach to informed consent, patients have access to the information they need about research occurring where they are seeking care, and medical researchers can conduct their studies without ethical concerns or unreasonable logistical impediments. TRIAL REGISTRATION NUMBER NCT02588664, recruiting. This article covers the development of consent process that is currentlty being employed in the study.
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Affiliation(s)
- Joseph E Andrews
- Institutional Review Board, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - J Brian Moore
- Institutional Review Board, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Richard B Weinberg
- Institutional Review Board, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Mysha Sissine
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Sabina Gesell
- Public Health Sciences Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Jacquie Halladay
- Department of Family Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Wayne Rosamond
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Cheryl Bushnell
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Sara Jones
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Paula Means
- Institutional Review Board, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Nancy M P King
- Center for Bioethics, Health, and Society; Public Health Sciences Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Diana Omoyeni
- Institutional Review Board, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Pamela W Duncan
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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Roos K, Kucera KL, Golightly Y, Myers JB, Rosamond W, Marshall SW. Capture of Time-Loss Overuse Soccer Injuries in the National Collegiate Athletic Association's Injury Surveillance System, 2005-2006 Through 2007-2008. J Athl Train 2018; 53:271-278. [PMID: 29466068 DOI: 10.4085/1062-6050-191-16] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
CONTEXT Overuse injuries are reported to account for nearly 50% of sports injuries and, due to their progressive nature and the uncertainty regarding date of onset, are difficult to define and categorize. Comparing the capture rates of overuse injuries between injury-surveillance systems and medical records can clarify completeness and determinants of how overuse injuries are represented in injury-surveillance data. OBJECTIVE To estimate the capture rate of time-loss medical-attention overuse injuries in men's and women's soccer in the National Collegiate Athletic Association Injury Surveillance System (NCAA ISS) compared with medical records maintained by certified athletic trainers and assess the differences in completeness of capture and factors contributing to those differences. DESIGN Capture-recapture study. SETTING Fifteen NCAA institutions provided NCAA ISS and medical record data from men's and women's soccer programs from 2005-2006 through 2007-2008. PATIENTS OR OTHER PARTICIPANTS National Collegiate Athletic Association men's and women's soccer players. MAIN OUTCOME MEASURE(S) Time-loss medical-attention overuse injuries were defined as injuries with an overuse mechanism of injury in the NCAA ISS or medical records. Capture rates were calculated as the proportion of total overuse injuries classified as having overuse mechanisms in the NCAA ISS and the NCAA ISS and medical records combined. RESULTS The NCAA ISS captured 63.7% of the total estimated overuse mechanisms of injury in men's and women's soccer players. The estimated proportion of overuse injury mechanisms captured by both the NCAA ISS and medical records was 37.1%. The NCAA ISS captured more overuse injury mechanisms in men's soccer than in women's soccer (79.2% versus 45.0%, χ2 = 9.60; P = .002) athletes. CONCLUSIONS From 2005-2006 through 2007-2008, the NCAA ISS captured only two thirds of time-loss medical-attention overuse mechanisms of injury in men's and women's soccer players. Future researchers should consider supplementing injury-surveillance data with a clinical record review to capture the burden of these injuries.
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Bush M, Stürmer T, Stearns SC, Simpson RJ, Brookhart MA, Rosamond W, Kucharska-Newton AM. Position matters: Validation of medicare hospital claims for myocardial infarction against medical record review in the atherosclerosis risk in communities study. Pharmacoepidemiol Drug Saf 2018; 27:1085-1091. [PMID: 29405474 DOI: 10.1002/pds.4396] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 10/18/2017] [Accepted: 12/18/2017] [Indexed: 11/10/2022]
Abstract
PURPOSE The objectives of this study were to investigate sensitivity and specificity of myocardial infarction (MI) case definitions using multiple discharge code positions and multiple diagnosis codes when comparing administrative data to hospital surveillance data. METHODS Hospital surveillance data for ARIC Study cohort participants with matching participant ID and service dates to Centers for Medicare and Medicaid Services (CMS) hospitalization records for hospitalizations occurring between 2001 and 2013 were included in this study. Classification of Definite or Probable MI from ARIC medical record review defined "gold standard" comparison for validation measures. In primary analyses, an MI was defined with ICD9 code 410 from CMS records. Secondary analyses defined MI using code 410 in combination with additional codes. RESULTS A total of 25 549 hospitalization records met study criteria. In primary analysis, specificity was at least 0.98 for all CMS definitions by discharge code position. Sensitivity ranged from 0.48 for primary position only to 0.63 when definition included any discharge code position. The sensitivity of definitions including codes 410 and 411.1 were higher than sensitivity observed when using code 410 alone. Specificity of these alternate definitions was higher for women (0.98) than for men (0.96). CONCLUSION Algorithms that rely exclusively on primary discharge code position will miss approximately 50% of all MI cases due to low sensitivity of this definition. We recommend defining MI by code 410 in any of first 5 discharge code positions overall and by codes 410 and 411.1 in any of first 3 positions for sensitivity analyses of women.
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Affiliation(s)
- Montika Bush
- University of North Carolina, Chapel Hill, NC, USA
| | - Til Stürmer
- University of North Carolina, Chapel Hill, NC, USA
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Duda J, Trivedi T, Suri MFK, Mehta S, Moss K, Offenbacher S, Beck J, Gottesman RF, Rosamond W, Sen S. Abstract TP114: Association of Inflammation With Intracranial Atherosclerotic Stenosis. Stroke 2018. [DOI: 10.1161/str.49.suppl_1.tp114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction and Hypothesis:
Intracranial Atherosclerotic Stenosis (ICAS) is associated with 8-10% of all strokes in the U.S. Although there is evidence in the Asian population that inflammation plays a role in ICAS, it has not been shown in the U.S. population. We hypothesized that midlife sensitivity C-reactive protein (hs-CRP), a marker of inflammation, is associated with late-life ICAS in the U.S. population.
Methods:
The Atherosclerosis Risk in Communities (ARIC) study recruited participants from four U.S. communities between 1987-1989. In the ancillary Dental ARIC study, dentate subjects from ARIC undergoing full-mouth examination also had blood samples obtained to measure the serum inflammatory marker, hs-CRP (1996-1998). High sensitivity ELISA assay that had been validated against nephelometry, was used to measure hs-CRP. Of this cohort, a subset (N=909) underwent high resolution 3T magnetic resonance angiogram at a follow-up visit (2011-2013). All images were analyzed in a centralized lab and ICAS was graded as no stenosis/<50% stenosis, or ≥50% stenosis/complete occlusion. Crude and adjusted Odds Ratio (OR, adjusted for age, gender, race, body mass index, hypertension, diabetes, low density lipoprotein level, and smoking) were calculated to test the association between hs-CRP (stratified as <1, 1-3 and >3 mg/l), and ICAS.
Results:
A total of 909 subjects (mean age 62±6, 45% male, 81% Caucasian and 19% African-American), underwent assessment of hs-CRP and ICAS. Compared with the reference group (hs-CRP <1 mg/l) modestly elevated hs-CRP (1-3 mg/l) was not significantly associated with >50% ICAS, on univariate (Crude OR 1.3 95% CI: 0.9-2.0) or multivariable analysis (Adjusted OR 1.3, 95% CI: 0.9-2.0). Elevated hs-CRP (>3mg/l) was significantly associated with >50% ICAS in both univariate (Crude OR 1.6, 95% CI:1.1-2.3) and adjusted model (Adjusted OR 1.6, 95% CI:1.1-2.4).
Conclusions:
In this US population-based community study, we report a significant and independent association between inflammatory marker hs-CRP and ICAS. Further studies are required to test if anti-inflammatory drugs or diet prevents ICAS.
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Redd K, Sen S, Moss K, Alonso A, Soliman E, Magnani J, Rosamond W, Beck J, Offenbacher S. Abstract TMP55: Periodontal Disease Associated With Atrial Fibrillation, a Stroke Risk Factor. Stroke 2018. [DOI: 10.1161/str.49.suppl_1.tmp55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction and Hypothesis:
Previously we have reported that periodontal disease is associated with an increased risk of cardioembolic stroke. Atrial fibrillation (AF) is the most common reason for cardioembolic stroke. We assessed the hypothesis that periodontal disease is associated with incident AF.
Methods:
In the Dental Atherosclerosis in Communities Study (DARIC) study, participants were subjected to full-mouth clinical periodontal measurements (seven indices) collected at six sites per tooth from 6,501 subjects without prior AF. They were graded into seven distinct periodontal profile classes (PPC: A or periodontal health, F through G, based on increasing severity of periodontal disease). These patients were followed for AF adjudicated using electrocardiograms, hospital discharge codes, and death certificates, over the subsequent 17 years. Cox proportional hazards models adjusted for AF risk factors that can potentially confound the relationship between PPC and AF (Age, Gender, Race, Hypertension, Diabetes, Smoking, Coronary Artery Disease and Congestive Heart Failure).
Results:
Of 6,501 assessed on Visit 4 without prior history of atrial fibrillation, 883 were found to have AF over a 17-year follow-up period. Periodontal disease (PPC classes B-G) compared with periodontal health (PPC-A) was associated with higher rate of AF (HR 1.3 95% CI 1.1-1.5, Kaplan Meier plot, log rank p=0.0008). On univariate analysis PPC-D (HR 1.4 95% CI 1.1-1.7) PPC-E (HR 1.4 95% CI 1.2-1.8) PPC-F (HR 1.6 95% CI 1.3-2.0) and PPC-G (HR 1.4 (95% CI 1.04-1.8) were significantly associated with AF. On multivariate analysis only, PPC-F or severe tooth loss (adjusted HR 1.3 95% CI 1.01-1.6) was significantly associated with AF.
Conclusions:
We report a significant association periodontal disease and AF. Among the PPC, PPC-F or severe tooth loss is independently associated with AF. The association may explain the cardioembolic stroke risk noted with periodontal disease.
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Affiliation(s)
| | | | - Kevin Moss
- Univ of North Carolina - Chapel Hill, Chapel Hill, NC
| | | | | | | | | | - James Beck
- Univ of North Carolina - Chapel Hill, Chapel Hill, NC
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Matsushita K, Kwak L, Hyun N, Bessel M, Agarwal SK, Loehr LR, Ni H, Chang PP, Coresh J, Wruck LM, Rosamond W. Community burden and prognostic impact of reduced kidney function among patients hospitalized with acute decompensated heart failure: The Atherosclerosis Risk in Communities (ARIC) Study Community Surveillance. PLoS One 2017; 12:e0181373. [PMID: 28793319 PMCID: PMC5549913 DOI: 10.1371/journal.pone.0181373] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 06/29/2017] [Indexed: 12/01/2022] Open
Abstract
Background Kidney dysfunction is prevalent and impacts prognosis in patients with acute decompensated heart failure (ADHF). However, most previous reports were from a single hospital, limiting their generalizability. Also, contemporary data using new equation for estimated glomerular filtration rate (eGFR) are needed. Methods and results We analyzed data from the ARIC Community Surveillance for ADHF conducted for residents aged ≥55 years in four US communities between 2005–2011. All ADHF cases (n = 5, 391) were adjudicated and weighted to represent those communities (24,932 weighted cases). The association of kidney function (creatinine-based eGFR by the CKD-EPI equation and blood urea nitrogen [BUN]) during hospitalization with 1-year mortality was assessed using logistic regression. Based on worst and last serum creatinine, there were 82.5% and 70.6% with reduced eGFR (<60 ml/min/1.73m2) and 37.4% and 26.6% with severely reduced eGFR (<30 ml/min/1.73m2), respectively. Lower eGFR (regardless of last or worst eGFR), particularly eGFR <30 ml/min/1.73m2, was significantly associated with higher 1-year mortality independently of potential confounders (odds ratio 1.60 [95% CI 1.26–2.04] for last eGFR 15–29 ml/min/1.73m2 and 2.30 [1.76–3.00] for <15 compared to eGFR ≥60). The association was largely consistent across demographic subgroups. Of interest, when both eGFR and BUN were modeled together, only BUN remained significant. Conclusions Severely reduced eGFR (<30 ml/min/1.73m2) was observed in ~30% of ADHF cases and was an independent predictor of 1-year mortality in community. For prediction, BUN appeared to be superior to eGFR. These findings suggest the need of close attention to kidney dysfunction among ADHF patients.
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Affiliation(s)
- Kunihiro Matsushita
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- * E-mail:
| | - Lucia Kwak
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Noorie Hyun
- University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Marina Bessel
- University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sunil K. Agarwal
- Mount Sinai Health Systems, New York City, New York, United States of America
| | - Laura R. Loehr
- University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Hanyu Ni
- Centers of Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Patricia P. Chang
- University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Lisa M. Wruck
- Duke Clinical Research Institute, Durham, North Carolina, United States of America
| | - Wayne Rosamond
- University of North Carolina, Chapel Hill, North Carolina, United States of America
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Caughey M, Stearns S, Shah A, Sueta C, Rodgers J, Rosamond W, Chang P. READMISSIONS FOR PATIENTS DISCHARGED WITH ACUTE DECOMPENSATED HEART FAILURE AND REDUCED VERSUS PRESERVED EJECTION FRACTION: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY. J Am Coll Cardiol 2017. [DOI: 10.1016/s0735-1097(17)34164-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Agarwal SK, Sotoodehnia N, Norby FL, Matsushita K, Chen L, Klein B, Klein R, Lawvere S, Rosamond W, Yin WT, Narula J, Folsom A, Coresh J, Heiss G. RETINOPATHY AND RISK OF SUDDEN CARDIAC DEATH: THE ARIC STUDY. J Am Coll Cardiol 2017. [DOI: 10.1016/s0735-1097(17)35169-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Kucharska-Newton A, Griswold M, Yao ZH, Foraker R, Rose K, Rosamond W, Wagenknecht L, Koton S, Pompeii L, Windham BG. Cardiovascular Disease and Patterns of Change in Functional Status Over 15 Years: Findings From the Atherosclerosis Risk in Communities (ARIC) Study. J Am Heart Assoc 2017; 6:e004144. [PMID: 28249844 PMCID: PMC5523991 DOI: 10.1161/jaha.116.004144] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2016] [Accepted: 01/17/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of premature disability, yet few prospective studies have examined functional status (FS) among persons with CVD. Our aim was to examine patterns of change in FS prior to and after hospitalization for nonfatal myocardial infarction, stroke, and heart failure among members of the Atherosclerosis Risk in Communities (ARIC) study cohort. METHODS AND RESULTS FS was assessed using a modified Rosow-Breslau questionnaire administered during routine annual telephone interviews conducted from 1993 through 2007 among 15 277 ARIC study participants. An FS score was constructed as a summary measure of responses to questions about participants' ability to perform selected tasks of daily living (eg, walking half a mile, climbing stairs). Incidence of CVD was assessed through ARIC surveillance of hospitalized events. Rate of change in FS over time prior to and following a CVD event was examined using generalized estimating equations. A decline in FS was observed on average 2 years prior to a myocardial infarction hospitalization and on average 3 years prior to a stroke or heart failure hospitalization. FS post-myocardial infarction declined relative to pre-event levels but improved to close to pre-myocardial infarction levels within 3 years. Decline in FS following incident heart failure and stroke remained over time. Observed patterns of change in FS did not differ appreciably by race or sex. CONCLUSIONS This study documents that a decline in FS precedes incidence of CVD-related hospitalization by at least 2 years, providing a strong argument for routine preventative assessment of FS among older adults.
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Sen S, Offenbacher S, Moss K, Giamberardino LD, Rosamond W. Abstract TP162: Specific Inflammatory Mediators Associated With Incident Ischemic Stroke and Individual Ischemic Stroke Subtypes. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.tp162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Epidemiological studies have shown that serum inflammatory markers are independently associated with ischemic stroke. We assessed the hypothesis that specific inflammatory mediator is associated with specific ischemic stroke subtypes in the Atherosclerosis Risk in Communities (ARIC) study.
Methods:
In the ARIC study, serum inflammatory mediators were assessed in a cohort of subjects without prior stroke. They included high sensitivity C-reactive protein (hs-CRP), interleukin 1ra (IL-1ra), and Intercellular Adhesion Molecule 1(sICAM1) and were followed for all vascular events. All stroke events were adjudicated and classified into stroke subtypes by standard definitions. Multivariable Cox proportional hazards models were used to study the relationship between elevated inflammatory markers (upper quartile compared with lower three quartiles) and ischemic stroke, as well as stroke subtypes (cardioembolic, lacunar or thrombotic).
Results:
At the fourth ARIC study visit, serum inflammatory mediators were assessed in a cohort of 5663 subjects (mean age±SD=62.3±5.6, 55% female, 83% white and 17% African-American). Over a 15-year follow-up, 237 (4.2%) subjects had incident ischemic stroke of which 47% were thrombotic, 26% were cardioembolic, and 20% were of the lacunar stroke subtype. After adjustment for Race/Center, Age, Gender, BMI, Hypertension, Diabetes, LDL Level, Smoking (3-levels), Pack Years, Education (3-levels), hs-CRP (adjusted HR 1.45, 95% CI 1.08-1.96), IL-1ra (adjusted HR 1.90, 95% CI 1.09-3.28) and sICAM1(adjusted HR 1.33, 95% CI 1.0-1.78) were associated with overall ischemic stroke. This was driven by associations between hs-CRP and thrombotic stroke (adjusted HR 1.73, 95% CI 1.14-2.61), IL-1ra and cardioembolic stroke (adjusted HR 3.42, 95% CI 1.23-9.53), and sICAM-1 and lacunar stroke (adjusted HR 1.92, 95% CI 1.05-3.50).
Conclusions:
Results from this prospective show an independent association between serum inflammatory mediators and incident ischemic stroke. These associations appear to be attributed to the association between specific inflammatory mediator and individual stroke subtype. These results shed light to the mechanism by which inflammatory mediators contribute to stroke risk.
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Affiliation(s)
- Souvik Sen
- Dept of Neurology, USC Sch of Medicine, Columbia, SC
| | | | - Kevin Moss
- NC Oral Health Institute, UNC Chapel Hill Sch of Dentistry, Chapel Hill, NC
| | | | - Wayne Rosamond
- Dept of Epidemiology, UNC Gillings Sch of Global Public Health, Chapel Hill, NC
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Prvu Bettger J, Jones S, Kucharska-Newton A, Freburger J, Ambrosius W, Sissine M, Rosamond W, Bushnell C, Duncan P. Abstract TP308: Transitional Care in Stroke Certified and Non-certified Hospitals: The Comprehensive Post-Acute Stroke Services (COMPASS) Study. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.tp308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Greater than 50% of stroke patients are discharged home from the hospital, most with continuing care needs. In the absence of evidence-based transitional care interventions for stroke patients, procedures likely vary by hospital even among stroke-certified hospitals with requirements for transitional care protocols. We examined the standard of transitional care among NC hospitals enrolled in the COMPASS study comparing stroke-certified and non-certified hospitals.
Methods:
Hospitals completed an online, self-administered, web-based questionnaire to assess usual care related to hospitals’ transitional care strategy, stroke program structural components, discharge planning processes, and post-discharge patient management and follow-up. Response frequencies were compared between stroke certified versus non-certified hospitals using chi-squared statistics and Fisher’s exact test.
Results:
As of July 2016, the first 27 hospitals enrolled (of 40 expected) completed the survey (67% certified as a primary or comprehensive stroke center). On average, 54% of stroke patients were discharged home. Processes supporting hospital-to-home care transitions, such as timely follow-up calls and follow-up with neurology, were infrequent and overall less common for non-certified hospitals (Table). Assessment of post-discharge outcomes was particularly infrequent among non-certified sites (11%) compared with certified sites (56%). Uptake of transitional care management billing codes and quality metrics was low for both certified and non-certified hospitals.
Conclusion:
Significant variation exists in the infrastructure and processes supporting care transitions for stroke patients among COMPASS hospitals in NC. COMPASS as a pragmatic cluster-randomized trial will compare outcomes among hospitals that implement a CMS-directed model of transitional care with those hospitals that provide highly variable transitional care services.
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Affiliation(s)
| | - Sara Jones
- Univ of North Carolina-Chapel Hill, Chapel Hill, NC
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Sen S, Giamberardino LD, Moss K, Rosamond W, Offenbacher S. Abstract WP193: Gum Disease and Ischemic Stroke Risk in the Atherosclerosis Risk in Communities (ARIC) Study. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.wp193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Gum, or periodontal disease (PD) is a risk factor for cardiovascular disease. We assessed the graded association of PD levels with incident ischemic stroke as well as the etiological stroke subtypes in the Atherosclerosis Risk in Communities (ARIC) study.
Methods:
PD was assessed by full-mouth periodontal measurements from 6 sites per tooth, in subjects without prior stroke and categorized into periodontal profile class (PPC). A Latent Class Analysis was used to identify 7 distinct PPCs using the entire cohort that included tooth level periodontal measurements and tooth loss. Stroke diagnoses were based on computer derived diagnosis medical record review and imaging confirmation. Classification required evidence of sudden onset of neurological deficit(s) lasting ≥24 hours. Strokes were classified according to etiology as thrombotic, lacunar, and cardioembolic subtypes.
Results:
At the fourth ARIC visit (1996-1998), a cohort of 6711 subjects (mean age±SD=62.3±5.6, 55% female, 81% white and 19% African-American) were assessed for PD. A total of 299 incident ischemic strokes (47% thrombotic, 26% cardioembolic and 20% lacunar) occurred over a 15-year period. The seven levels of PPC showed a graded association with incident ischemic stroke as noted in the figure. Participants with mild PD (adjusted HR 1.9 95% CI 1.2-3.0), moderate PD group (adjusted HR 2.1 95% CI 1.2-3.5) and severe PD (adjusted HR 2.2 95% CI 1.3-3.8) had an increased risk of incident ischemic stroke, compared with participants without PD after adjustment for confounders (age, race, gender, BMI, hypertension, diabetes, LDL cholesterol, smoking and education). There were class specific associations noted between PD with cardioembolic and thrombotic stroke subtypes.
Conclusions:
A graded association was noted between incident ischemic stroke and increasing levels of PPC. Further, we report class specific associations between PD with cardioembolic and thrombotic stroke subtypes.
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Affiliation(s)
- Souvik Sen
- Dept of Neurology, USC Sch of Medicine, Columbia, SC
| | | | - Kevin Moss
- Periodontology, UNC Sch of Dentistry, Chapel Hill, NC
| | - Wayne Rosamond
- Dept of Epidemiology, UNC Gillings Sch of Global Public Health, Chapel Hill, NC
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Giamberardino L, Offenbacher S, Moss K, Rosamond W, Sen S. Abstract TMP107: Regular Dental Care Reduces the Risk for Ischemic Stroke: Atherosclerosis Risk in Communities (ARIC) Study. Stroke 2017. [DOI: 10.1161/str.48.suppl_1.tmp107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Prior epidemiological studies have shown that periodontal disease (PD), also referred to as gum disease, is an independent risk factor for ischemic stroke. We assessed the hypothesis that users of regular dental care may have a lower risk for incident ischemic stroke and specific stroke subtype when compared with users of episodic dental care.
Methods:
In this prospective, longitudinal community-based cohort study, participants without prior stroke were assessed for dental care utilization represented by patient-reported responses to questionnaires. The pattern of dental care utilization was classified as regular use (every year), episodic use (as needed), or no use (never). Episodic visits, or visits as needed, are considered signs of inadequate utilization of dental care. These participants were followed for incident ischemic strokes. Ischemic stroke diagnoses were defined as sudden onset of neurological deficit(s) lasting ≥24 hours along with neuroimaging confirmation. Strokes were further classified according to etiologic subtype as thrombotic, lacunar, or cardioembolic stroke subtype according to criteria adopted from the National Survey of Stroke.
Results:
Of 11,242 participants (mean age±SD=62.8±5.6, 56% female, 78% white and 22% African-American) assessed for dental care utilization at the fourth ARIC visit (1996-1998). Over a 15-year follow-up period a total of 583 participants had incident ischemic stroke events, of who 19% were lacunar, 29% were cardioembolic and 45% were of the thrombotic stroke subtype. After adjustment for confounders (race/center, age, gender, BMI, hypertension, diabetes, LDL level, smoking, and education), regular dental care utilization was associated with lower risk for ischemic stroke overall compared with episodic dental users (adjusted HR 0.77, 95% CI 0.63-0.94). Regular dental care specifically lowered the risk of thrombotic stroke subtype (adjusted HR 0.75, 95% CI 0.56-0.99).
Conclusions:
Results from this prospective cohort study demonstrates an independent association between regular dental care utilization with a lower ischemic stroke risk. Further, we report the highest impact of regular dental care in lowering risk of the thrombotic stroke subtype.
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Affiliation(s)
| | | | - Kevin Moss
- NC Oral Health Institute, UNC Chapel Hill Sch of Dentistry, Chapel Hill, NC
| | - Wayne Rosamond
- Dept of Epidemiology, UNC Gillings Sch of Global Public Health, Chapel Hill, NC
| | - Souvik Sen
- Dept of Neurology, USC Sch of Medicine, Columbia, SC
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Khalid U, Wruck LM, Quibrera PM, Bozkurt B, Nambi V, Virani SS, Jneid H, Agarwal S, Chang PP, Loehr L, Basra SS, Rosamond W, Ballantyne CM, Deswal A. BNP and obesity in acute decompensated heart failure with preserved vs. reduced ejection fraction: The Atherosclerosis Risk in Communities Surveillance Study. Int J Cardiol 2017; 233:61-66. [PMID: 28185703 DOI: 10.1016/j.ijcard.2017.01.130] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 12/01/2016] [Accepted: 01/28/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Levels of B-type natriuretic peptide (BNP), a prognostic marker in patients with heart failure (HF), are lower among HF patients with obesity or preserved Left Ventricular Ejection Fraction (LVEF). We examined the distribution and prognostic value of BNP across BMI categories in acute decompensated heart failure (ADHF) patients with preserved vs. reduced LVEF. METHODS We analyzed data from the Atherosclerosis Risk in Communities (ARIC) HF surveillance study which sampled and adjudicated ADHF hospitalizations in patients aged ≥55years from 4 US communities (2005-2009). We examined 5 BMI categories: underweight (<18.5kg/m2), normal weight (18.5-<25), overweight (25-<30), obese (30-<40) and morbidly obese (≥40) in HF with preserved LVEF (HFpEF) and reduced LVEF (HFrEF). The outcome was 1-year mortality from admission. We used ANCOVA to model log BNP and logistic regression for 1-year mortality, both adjusted for demographics and clinical characteristics. RESULTS The cohort included 9820 weighted ADHF hospitalizations (58% HFrEF; 42% HFpEF). BNP levels were lower in HFpEF compared to HFrEF (p<0.001) and decreased as BMI increased within the LVEF groups (p<0.001). After adjustment for covariates, log10 BNP independently predicted 1-year mortality (adjusted OR 1.62 (95% CI 1.17-2.24)) with no significant interaction by BMI or LVEF groups. CONCLUSIONS BNP levels correlated inversely with BMI, and were higher in HFrEF compared to HFpEF. Obese patients with HFpEF and ADHF had a significant proportion with BNP levels below clinically accepted thresholds. Nevertheless, BNP was a predictor of mortality in ADHF across groups of BMI in HFpEF and HFrEF.
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Affiliation(s)
- Umair Khalid
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Lisa Miller Wruck
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States
| | - Pedro Miguel Quibrera
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States
| | - Biykem Bozkurt
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| | - Vijay Nambi
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| | - Hani Jneid
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, TX, United States
| | - Sunil Agarwal
- Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Patricia P Chang
- Department of Medicine, University of North Carolina, Chapel Hill, NC, United States
| | - Laura Loehr
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, United States
| | - Sukhdeep Singh Basra
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Wayne Rosamond
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, United States
| | - Christie M Ballantyne
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States
| | - Anita Deswal
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, United States; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, TX, United States.
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Eaton CB, Pettinger M, Rossouw J, Martin LW, Foraker R, Quddus A, Liu S, Wampler NS, Hank Wu WC, Manson JE, Margolis K, Johnson KC, Allison M, Corbie-Smith G, Rosamond W, Breathett K, Klein L. Risk Factors for Incident Hospitalized Heart Failure With Preserved Versus Reduced Ejection Fraction in a Multiracial Cohort of Postmenopausal Women. Circ Heart Fail 2016; 9:CIRCHEARTFAILURE.115.002883. [PMID: 27682440 DOI: 10.1161/circheartfailure.115.002883] [Citation(s) in RCA: 132] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Accepted: 08/29/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND Heart failure is an important and growing public health problem in women. Risk factors for incident hospitalized heart failure with preserved ejection fraction (HFpEF) compared with heart failure with reduced ejection fraction (HFrEF) in women and differences by race/ethnicity are not well characterized. METHODS AND RESULTS We prospectively evaluated the risk factors for incident hospitalized HFpEF and HFrEF in a multiracial cohort of 42 170 postmenopausal women followed up for a mean of 13.2 years. Cox regression models with time-dependent covariate adjustment were used to define risk factors for HFpEF and HFrEF. Differences by race/ethnicity about incidence rates, baseline risk factors, and their population-attributable risk percentage were analyzed. Risk factors for both HFpEF and HFrEF were as follows: older age, white race, diabetes mellitus, cigarette smoking, and hypertension. Obesity, history of coronary heart disease (other than myocardial infarction), anemia, atrial fibrillation, and more than one comorbidity were associated with HFpEF but not with HFrEF. History of myocardial infarction was associated with HFrEF but not with HFpEF. Obesity was found to be a more potent risk factor for African American women compared with white women for HFpEF (P for interaction=0.007). For HFpEF, the population-attributable risk percentage was greatest for hypertension (40.9%) followed by obesity (25.8%), with the highest population-attributable risk percentage found in African Americans for these risk factors. CONCLUSIONS In this multiracial cohort of postmenopausal women, obesity stands out as a significant risk factor for HFpEF, with the strongest association in African American women. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000611.
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Affiliation(s)
- Charles B Eaton
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.).
| | - Mary Pettinger
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Jacques Rossouw
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Lisa Warsinger Martin
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Randi Foraker
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Abdullah Quddus
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Simin Liu
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Nina S Wampler
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Wen-Chih Hank Wu
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - JoAnn E Manson
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Karen Margolis
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Karen C Johnson
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Matthew Allison
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Giselle Corbie-Smith
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Wayne Rosamond
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Khadijah Breathett
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
| | - Liviu Klein
- From the Center of Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket (C.B.E., A.Q.); School of Public Health, Alpert Medical School, Brown University, Providence, RI (C.B.E., S.L.); Fred Hutchinson Cancer Research Center, Seattle, WA (M.P.); Women's Health Initiative Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD (J.R.); George Washington University School of Medicine and Health Sciences, Washington, DC (L.W.M.); Division of Epidemiology, College of Public Health, The Ohio State University Columbus (R.F.); The University of Arizona Cancer Center, Phoenix, AZ (N.S.W.); Providence VA Medical Center, RI (W.-C.H.W.); Brigham and Women's Hospital, Harvard Medical School, Boston, MA (J.E.M.); HealthPartners Institute for Research and Education, Minneapolis, MN (K.M.); University of Tennessee Health Science Center, Memphis, TN (K.C.J.); University of California San Diego (M.A.); The University of North Carolina, Chapel Hill (G.C.-S., W.R.); The Ohio State University Wexner Medical Center, Columbus (K.B.); The Ohio State University Davis Heart and Lung Research Institute, Columbus (K.B.); and University of California San Francisco (L.K.)
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Cushman M, O'Meara ES, Heckbert SR, Zakai NA, Rosamond W, Folsom AR. Body size measures, hemostatic and inflammatory markers and risk of venous thrombosis: The Longitudinal Investigation of Thromboembolism Etiology. Thromb Res 2016; 144:127-32. [PMID: 27328432 PMCID: PMC4980192 DOI: 10.1016/j.thromres.2016.06.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Revised: 05/25/2016] [Accepted: 06/12/2016] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Obesity is an important venous thrombosis (VT) risk factor but the reasons for this are unclear. MATERIALS AND METHODS In a cohort of 20,914 individuals aged 45 and older without prior VT, we calculated the relative risk (RR) of VT over 12.6years follow-up according to baseline body size measures, and studied whether associations were mediated by biomarkers of hemostasis and inflammation that are related to adiposity. RESULTS Greater levels of all body size measures (weight, height, waist, hip circumference, calf circumference, body-mass index, waist-hip ratio, fat mass and fat-free mass) were associated with increased risk of VT, with 4th versus 1st quartile RRs of 1.5-3.0. There were no multiplicative interactions of biomarkers with obesity status. Adjustment for biomarkers associated with VT risk and body size (factors VII and VIII, von Willebrand factor, partial thromboplastin time, D-dimer, C-reactive protein and factor XI) only marginally lowered, or did not impact, the RRs associated with body size measures. CONCLUSIONS Greater body size, by multiple measures, is a risk factor for VT. Associations were not mediated by circulating levels of studied biomarkers suggesting that body size relates to VT because of physical factors associated with blood flow, not the hypercoagulability or inflammation associated with adiposity.
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Affiliation(s)
| | | | | | | | - Wayne Rosamond
- University of North Carolina, Chapel Hill, United States
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Griffin J, Wruck L, Silverman RK, Loehr L, Russell S, Matsushita K, Agarwal S, Deswal A, Rosamond W, Chang P. PREDICTIVE VALUE OF CHANGES IN SERUM SODIUM IN PATIENTS WITH ACUTE DECOMPENSATED HEART FAILURE: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY. J Am Coll Cardiol 2016. [DOI: 10.1016/s0735-1097(16)31422-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Androulakis X, Rosamond W, Yim E, Dennis LC, Gottesman R, Sen S. Abstract TP179: Ischemic Stroke Subtypes and Relationship With Migraine in the Atherosclerosis Risk in Communities Study. Stroke 2016. [DOI: 10.1161/str.47.suppl_1.tp179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction and Hypothesis:
Epidemiological studies have shown that migraine with aura (MA) is an independent risk factor for ischemic stroke. We assessed the hypothesis that migraine with aura is associated with specific ischemic stroke subtypes in the Atherosclerosis Risk In Communities (ARIC) study.
Methods:
We included 12844 participants among this ongoing prospective cohort of ARIC. All participants completed an in-person headache questionnaire: headaches are classified as MA, migraine without aura, or non-migraine headaches. All stroke diagnoses are based on computer-derived diagnosis and physician medical record review, with differences adjudicated by a second physician reviewer. Classification required evidence of sudden or rapid onset of neurological symptoms lasting ≥24 hours. Strokes were further classified according to etiologic subtype as thrombotic brain infarction, lacunar infarction, and cardioembolic stroke.
Results:
At the third ARIC study visit, 12.7% (1633) of participants had migraine and 8.5% (1093) had non-migraine headaches. 29% (472) of participants among migraineurs had MA. A total of 817 ischemic strokes occurred from1987-1989 to 2012, of which 51% (417) were thrombotic, 27% (224) were cardioembolic, and 22% (176) were lacunar stroke. Participants with MA had an increased odd of ischemic stroke, compared with participants with migraine without aura (unadjusted OR 2.4, 95% CI 1.6-3.6, P<0.0001). MA had a stronger association with cardioembolic stroke (OR 3.3, 95% CI: 1.4-8.0, p=0.009), compared with thrombotic stroke (OR 2.0, 95% CI: 1.2-3.4, p=0.01). There was no significant association between MA and lacunar stroke.
Conclusions:
Results from this prospective cohort are consistent with previous studies demonstrating an association between MA and ischemic stroke. Further, we report a stronger and significant association with the cardioembolic stroke subtype, with a significant but smaller association with thrombotic strokes. Etiology of the observed association is currently being evaluated in this population.
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Affiliation(s)
| | - Wayne Rosamond
- Dept of Epidemiology, Univ of North Carolina Chapel Hill, Chapel Hill, NC
| | - Eunsil Yim
- Dept of Biostatistics, Univ of North Carolina Chapel Hill, Chapel Hill, NC
| | | | | | - Souvik Sen
- Dept of Neurology, USC Sch of Medicine, Columbia, SC
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Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB. Executive Summary: Heart Disease and Stroke Statistics--2016 Update: A Report From the American Heart Association. Circulation 2016; 133:447-54. [PMID: 26811276 DOI: 10.1161/cir.0000000000000366] [Citation(s) in RCA: 1709] [Impact Index Per Article: 213.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Després JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jiménez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Magid DJ, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 2015; 133:e38-360. [PMID: 26673558 DOI: 10.1161/cir.0000000000000350] [Citation(s) in RCA: 3698] [Impact Index Per Article: 410.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Windham BG, Griswold ME, Lirette S, Kucharska-Newton A, Foraker RE, Rosamond W, Coresh J, Kritchevsky S, Mosley TH. Effects of Age and Functional Status on the Relationship of Systolic Blood Pressure With Mortality in Mid and Late Life: The ARIC Study. J Gerontol A Biol Sci Med Sci 2015; 72:89-94. [PMID: 26409066 DOI: 10.1093/gerona/glv162] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 08/26/2015] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Impaired functional status attenuates the relationship of systolic blood pressure (SBP) with mortality in older adults but has not been studied in middle-aged populations. METHOD Among 10,264 stroke-free Atherosclerosis Risk in Communities participants (mean age 62.8 [5.7] years; 6,349 [62%] younger [<65 years]; 5,148 [50%] men; 2,664 [26%] Black), function was defined as good function (GF) for those self-reporting no difficulty performing functional tasks and basic or instrumental tasks of daily living; all others were defined as impaired function (IF). SBP categories were normal (<120 mmHg), prehypertension (120-139 mmHg), and hypertension (≥140 mmHg). Mortality risk associated with SBP was estimated using adjusted Cox proportional hazard models with a triple interaction between age, functional status, and SBP. RESULTS Mean follow-up was 12.9 years with 2,863 (28%) deaths. Among younger participants, 3,017 (48%) had IF; 2,279 of 3,915 (58%) older participants had IF. Prehypertension (hazard ratio [HR] = 1.48 [1.03, 2.15] p = .04) and hypertension (HR = 1.97 [1.29, 3.03] p = .002) were associated with mortality in younger GF and older (≥65 years) GF participants (prehypertension HR = 1.21 [1.06, 1.37] p = .005; hypertension HR = 1.47 [1.36, 1.59] p < .001). Among IF participants, prehypertension was not associated with mortality in younger participants (HR = 0.99 [0.85, 1.15] p = .93) and was protective in older participants (HR = 0.87 [0.85, 0.90] p < .001). Hypertension was associated with mortality in younger IF participants (HR = 1.54 [1.30, 1.82] p < .001) but not in older IF participants (HR = 0.99 [0.87, 1.14] p = .93). CONCLUSIONS Compared with younger and well-functioning persons, the additional contribution of blood pressure to mortality is much lower with older age and impaired function, particularly if both are present. Functional status and age could potentially inform optimal blood pressure targets.
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Affiliation(s)
| | - Michael E Griswold
- Center of Biostatistics, University of Mississippi Medical Center, Jackson
| | - Seth Lirette
- Center of Biostatistics, University of Mississippi Medical Center, Jackson
| | - Anna Kucharska-Newton
- Kucharska-Newton: Cardiovascular Disease Program, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
| | - Randi E Foraker
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus
| | - Wayne Rosamond
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis
| | - Josef Coresh
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Stephen Kritchevsky
- Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, North Carolina
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