Comparison of risk scores for the prediction of stroke in African Americans: Findings from the Jackson Heart Study.


Journal Article

BACKGROUND: Evidence from existing cohort studies supports the prediction of incident coronary heart disease and stroke using 10-year cardiovascular disease (CVD) risk scores and the American Heart Association/American Stroke Association's cardiovascular health (CVH) metric. METHODS: We included all Jackson Heart Study participants with complete scoring information at the baseline study visit (2000-2004) who had no history of stroke (n = 4,140). We used Kaplan-Meier methods to calculate the cumulative incidence of stroke and used Cox models to estimate hazard ratios and 95% CIs for stroke according to CVD risk and CVH score. We compared the discrimination of the 2 models according to the Harrell c index and plotted predicted vs observed stroke risk calibration plots for each of the 2 models. RESULTS: The median age of the African American participants was 54.5 years, and 65% were female. The cumulative incidence of stroke increased across worsening categories of CVD risk and CVH. A 1-unit increase in CVD risk increased the hazard of stroke (1.07, 1.06-1.08), whereas each 1-unit increase in CVH corresponded to a decreased hazard of stroke (0.76, 0.69-0.83). As evidenced by the c statistics, the CVH model was less discriminating than the CVD risk model (0.59 [0.55-0.64] vs 0.79 [0.76-0.83]). CONCLUSIONS: Both scores were associated with incident stroke in a dose-response fashion; however, the CVD risk model was more discriminating than the CVH model. The CVH score may still be preferable for its simplicity in application to broad patient populations and public health efforts.

Full Text

Duke Authors

Cited Authors

  • Foraker, RE; Greiner, M; Sims, M; Tucker, KL; Towfighi, A; Bidulescu, A; Shoben, AB; Smith, S; Talegawkar, S; Blackshear, C; Wang, W; Hardy, NC; O'Brien, E

Published Date

  • July 2016

Published In

Volume / Issue

  • 177 /

Start / End Page

  • 25 - 32

PubMed ID

  • 27297846

Pubmed Central ID

  • 27297846

Electronic International Standard Serial Number (EISSN)

  • 1097-6744

Digital Object Identifier (DOI)

  • 10.1016/j.ahj.2016.04.007


  • eng

Conference Location

  • United States