Study on the prediction model of atherosclerotic cardiovascular disease in the rural Xinjiang population based on survival analysis.

ABSTRACT:

Purpose

With the increase in aging and cardiovascular risk factors, the morbidity and mortality of atherosclerotic cardiovascular disease (ASCVD), represented by ischemic heart disease and stroke, continue to rise in China. For better prevention and intervention, relevant guidelines recommend using predictive models for early detection of ASCVD high-risk groups. Therefore, this study aims to establish a population ASCVD prediction model in rural areas of Xinjiang using survival analysis.

Methods

Baseline cohort data were collected from September to December 2016 and followed up till June 2022. A total of 7975 residents (4054 males and 3920 females) aged 30-74 years were included in the analysis. The data set was divided according to different genders, and the training and te

SUBMITTER: Qian X 

PROVIDER: S-EPMC10234013 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature