Literature DB >> 35430874

Temporal Trends in the Remaining Lifetime Risk of Cardiovascular Disease Among Middle-Aged Adults Across 6 Decades: The Framingham Study.

Ramachandran S Vasan1,2,3, Danielle M Enserro4, Vanessa Xanthakis1,2,5, Alexa S Beiser1,5, Sudha Seshadri1,6.   

Abstract

BACKGROUND: The remaining lifetime risk (RLR) is the probability of developing an outcome over the remainder of one's lifespan at any given age. The RLR for atherosclerotic cardiovascular disease (ASCVD) in three 20-year periods were assessed using data from a single community-based cohort study of predominantly White participants.
METHODS: Longitudinal data from the Framingham study in 3 epochs (epoch 1, 1960-1979; epoch 2, 1980-1999; epoch 3, 2000-2018) were evaluated. The RLR of a first ASCVD event (myocardial infarction, coronary heart disease death, or stroke) from 45 years of age (adjusting for competing risk of death) in the 3 epochs were compared overall, and according to the following strata: sex, body mass index, blood pressure and cholesterol categories, diabetes, smoking, and Framingham risk score groups.
RESULTS: There were 317 849 person-years of observations during the 3 epochs (56% women; 94% White) and 4855 deaths occurred. Life expectancy rose by 10.1 years (men) to 11.9 years (women) across the 3 epochs. There were 1085 ASCVD events over the course of 91 330 person-years in epoch 1, 1330 ASCVD events over the course of 107 450 person-years in epoch 2, and 775 ASCVD events over the course of 119 069 person-years in epoch 3. The mean age at onset of first ASCVD event was greater in the third epoch by 8.1 years (men) to 10.3 years (women) compared with the first epoch. The RLR of ASCVD from 45 years of age declined from 43.7% in epoch 1 to 28.1% in epoch 3 (P<0.0001), a finding that was consistent in both sexes (RLR [epoch 1 versus epoch 3], 36.3% versus 26.5% [women]; 52.5% versus 30.1% [men]; P<0.001 for both). The lower RLR of ASCVD in the last 2 epochs was observed consistently across body mass index, blood pressure, cholesterol, diabetes, smoking, and Framingham risk score strata (P<0.001 for all). The RLR of coronary heart disease events and stroke declined in both sexes (P<0.001).
CONCLUSIONS: Over the past 6 decades, mean life expectancy increased and the RLR of ASCVD decreased in the community-based, predominantly White Framingham study. The residual burden of ASCVD underscores the importance of continued and effective primary prevention efforts with better screening for risk factors and their effective treatment.

Entities:  

Keywords:  atherosclerosis; cardiovascular diseases; cohort studies; epidemiology; risk factors

Mesh:

Substances:

Year:  2022        PMID: 35430874      PMCID: PMC9038688          DOI: 10.1161/CIRCULATIONAHA.121.057889

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   39.918


  47 in total

1.  Lifetime risk for cardiovascular disease in a Chinese population: the Chinese Multi-Provincial Cohort Study.

Authors:  Ying Wang; Jing Liu; Wei Wang; Miao Wang; Yue Qi; Wuxiang Xie; Yan Li; Jiayi Sun; Jun Liu; Dong Zhao
Journal:  Eur J Prev Cardiol       Date:  2013-12-11       Impact factor: 7.804

2.  The lifetime risk of stroke: estimates from the Framingham Study.

Authors:  Sudha Seshadri; Alexa Beiser; Margaret Kelly-Hayes; Carlos S Kase; Rhoda Au; William B Kannel; Philip A Wolf
Journal:  Stroke       Date:  2006-01-05       Impact factor: 7.914

3.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

4.  Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic.

Authors:  Youfa Wang; May A Beydoun; Jungwon Min; Hong Xue; Leonard A Kaminsky; Lawrence J Cheskin
Journal:  Int J Epidemiol       Date:  2020-06-01       Impact factor: 7.196

5.  Computing estimates of incidence, including lifetime risk: Alzheimer's disease in the Framingham Study. The Practical Incidence Estimators (PIE) macro.

Authors:  A Beiser; R B D'Agostino; S Seshadri; L M Sullivan; P A Wolf
Journal:  Stat Med       Date:  2000 Jun 15-30       Impact factor: 2.373

6.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

7.  Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age.

Authors:  Donald M Lloyd-Jones; Eric P Leip; Martin G Larson; Ralph B D'Agostino; Alexa Beiser; Peter W F Wilson; Philip A Wolf; Daniel Levy
Journal:  Circulation       Date:  2006-02-06       Impact factor: 29.690

8.  Cohort Profile: The Framingham Heart Study (FHS): overview of milestones in cardiovascular epidemiology.

Authors:  Connie W Tsao; Ramachandran S Vasan
Journal:  Int J Epidemiol       Date:  2015-12       Impact factor: 7.196

9.  Lifetime risk and years lived free of total cardiovascular disease.

Authors:  John T Wilkins; Hongyan Ning; Jarett Berry; Lihui Zhao; Alan R Dyer; Donald M Lloyd-Jones
Journal:  JAMA       Date:  2012-11-07       Impact factor: 56.272

10.  A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model.

Authors:  Peter C Austin; Aurélien Latouche; Jason P Fine
Journal:  Stat Med       Date:  2019-10-29       Impact factor: 2.373

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