From the Journals

Universal CVD Risk Prediction Model Shows Good Performance


 

SOURCE:

The study was conducted by Yejin Mok, PHD, MPH, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, and colleagues. It was published online on January 29, 2024, in the Journal of the American College of Cardiology (JACC).

LIMITATIONS:

The somewhat limited number of study participants with prior ASCVD precluded researchers from quantifying the prognostic impact of ASCVD subtypes (eg, history of MI vs stroke vs peripheral artery disease). The study didn’t have data on some predictors recognized in guidelines (eg, coronary artery calcium and left ventricular ejection fraction). The ARIC analysis included only Black and White participants, and although models were validated in MESA, which included Chinese and Hispanic adults, extrapolation of results to more racially/ethnically diverse populations should be done with care.

DISCLOSURES:

The ARIC study received funding from the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, and Department of Health and Human Services. The MESA study was supported by the NHLBI and National Center for Advancing Translational Sciences. The study authors and editorial writers had no relevant conflicts of interest.

A version of this article first appeared on Medscape.com.

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