ArticleJACC. Advances2025
Equations for Predicting the 10-Year Risk of Atherosclerotic Cardiovascular Disease in Population With Obesity.
Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Atherosclerotic cardiovascular disease (ASCVD) is a significant public health issue; however, current risk prediction models have limitations in populations with obesity. Objectives: The aim of this study was to develop risk models for predicting ASCVD risk in patients with obesity. Methods: Gender-specific equations to predict ASCVD were developed and validated using a cohort of 3,058 participants with obesity (body mass index ≥30 kg/m Results: In the derivation cohort (ARIC), C-statistics were 0.758 for men and 0.817 for women, demonstrating good discrimination and calibration (calibration chi-square for men = 1.71, Conclusions: Our equations provided better prediction of 10-year ASCVD risk in individuals with obesity in the MESA cohort, outperforming both PCEs and FRS.
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