Development of models to predict 10-30-year cardiovascular disease risk using the Da Qing IGT and diabetes study.

ABSTRACT:

Background

This study aimed to develop cardiovascular disease (CVD) risk equations for Chinese patients with newly diagnosed type 2 diabetes (T2D) to predict 10-, 20-, and 30-year of risk.

Methods

Risk equations for forecasting the occurrence of CVD were developed using data from 601 patients with newly diagnosed T2D from the Da Qing IGT and Diabetes Study with a 30-year follow-up. The data were randomly assigned to a training and test data set. In the training data set, Cox proportional hazard regression was used to develop risk equations to predict CVD. Calibration was assessed by the slope and intercept of the line between predicted and observed probabilities of outcomes by quintile of risk, and discrimination was examined using Harrell's C statistic in the test data set.

SUBMITTER: Chen F 

PROVIDER: S-EPMC10061839 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature