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Dataset Information

Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM).


ABSTRACT:

Background

Death due to cardiovascular diseases (CVD) increased significantly in China. One possible way to reduce CVD is to identify people at risk and provide targeted intervention. We aim to develop and validate a CVD risk prediction model for Chinese males (CVDMCM) to help clinicians identify those males at risk of CVD and provide targeted intervention.

Methods

We conducted a retrospective cohort study of 2,331 Chinese males without CVD at baseline to develop and internally validate the CVDMCM. These participants had a baseline physical examination record (2008-2016) and at least one revisit record by September 2019. With the full cohort, we conducted three models: A model with Framingham CVD risk model predictors; a model with predictors selected by univariate cox propo

SUBMITTER: Shan Y 

PROVIDER: S-EPMC9716142 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature