Equations for Predicting the 10-Year Risk of Atherosclerotic Cardiovascular Disease in Population With Obesity.

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/m²) in the ARIC (Atherosclerosis Risk In Communities) study and 1,953 participants in MESA (Multi-Ethnic Study of Atherosclerosis). The new models were called "ASCVD Risk estimation with Obesity-Specific Equations" or AROSE. We also conducted a comparative analysis of our algorithms against the 2008 Framingham risk sc

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11786660 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature