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Dataset Information

Prediction of the 10-year risk of atherosclerotic cardiovascular disease in the Korean population.


ABSTRACT:

Objectives

Proper risk assessment is important for the primary prevention of atherosclerotic cardiovascular disease (ASCVD). However, no validated risk prediction tools are currently in use in Korea. This study sought to develop a 10-year risk prediction model for incident ASCVD.

Methods

Using the National Sample Cohort of Korea, 325,934 subjects aged 20-80 years without previous ASCVD were enrolled. ASCVD was defined as a composite of cardiovascular death, myocardial infarction, and stroke. The Korean atherosclerotic cardiovas cular disease risk prediction (K-CVD) model was developed separately for men and women using the development dataset and validated in the validation dataset. Furthermore, the model performance was compared with the Framingham risk score (FRS) and pool

SUBMITTER: Park S 

PROVIDER: S-EPMC10593588 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature