Prediction of 30-year risk for cardiovascular mortality by fitness and risk factor levels: The cooper center longitudinal study

Chanaka D. Wickramasinghe, Colby R. Ayers, Sandeep Das, James A. De Lemos, Benjamin L. Willis, Jarett D. Berry

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Background-Fitness and traditional risk factors have well-known associations with cardiovascular disease (CVD) death in both short-term (10 years) and across the remaining lifespan. However, currently available short-term and long-term risk prediction tools do not incorporate measured fitness. Methods and Results-We included 16 533 participants from the Cooper Center Longitudinal Study (CCLS) without prior CVD. Fitness was measured using the Balke protocol. Sex-specific fitness levels were derived from the Balke treadmill times and categorized into low, intermediate, and high fit according to age- and sex-specific treadmill times. Sex-specific 30-year risk estimates for CVD death adjusted for competing risk of non-CVD death were estimated using the causespecific hazards model and included age, body mass index, systolic blood pressure, fitness, diabetes mellitus, total cholesterol, and smoking. During a median follow-up period of 28 years, there were 1123 CVD deaths. The 30-year risk estimates for CVD mortality derived from the cause-specific hazards model demonstrated overall good calibration (Nam- D'Agostino ?2 [men, P=0.286; women, P=0.664] and discrimination (c statistic; men, 0.81 [0.80-0.82] and women, 0.86 [0.82-0.91]). Across all risk factor strata, the presence of low fitness was associated with a greater 30-year risk for CVD death. Conclusions-Fitness represents an important additional covariate in 30-year risk prediction functions that may serve as a useful tool in clinical practice.

Original languageEnglish (US)
Pages (from-to)597-602
Number of pages6
JournalCirculation: Cardiovascular Quality and Outcomes
Volume7
Issue number4
DOIs
StatePublished - Jul 1 2014

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Longitudinal Studies
Cardiovascular Diseases
Mortality
Proportional Hazards Models
Blood Pressure
Calibration
Diabetes Mellitus
Body Mass Index
Smoking
Cholesterol

Keywords

  • Cardiovascular diseases
  • Mortality
  • Risk factors

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Prediction of 30-year risk for cardiovascular mortality by fitness and risk factor levels : The cooper center longitudinal study. / Wickramasinghe, Chanaka D.; Ayers, Colby R.; Das, Sandeep; De Lemos, James A.; Willis, Benjamin L.; Berry, Jarett D.

In: Circulation: Cardiovascular Quality and Outcomes, Vol. 7, No. 4, 01.07.2014, p. 597-602.

Research output: Contribution to journalArticle

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