Applications of the NDR and DIAL models for risk prediction on cardiovascular disease in patients with type 2 diabetes in Ningbo
10.3760/cma.j.cn112338-20211116-00891
- VernacularTitle:NDR和DIAL模型在宁波市社区2型糖尿病人群中预测心血管病发生风险的应用
- Author:
Qianqian LI
1
;
Jingyuan LIANG
;
Jiamin WANG
;
Peng SHEN
;
Yexiang SUN
;
Qi CHEN
;
Jinguo WU
;
Ping LU
;
Jingyi ZHANG
;
Hongbo LIN
;
Xun TANG
;
Pei GAO
Author Information
1. 北京大学公共卫生学院流行病与卫生统计学系，北京 100191
- Keywords:
Diabetes, type 2;
Cardiovascular risk assessment;
Lifetime risk prediction model;
Cohort study
- From:
Chinese Journal of Epidemiology
2022;43(6):945-952
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To validate the performance of cardiovascular risk prediction models based on the Sweden National Diabetes Register (NDR) and Diabetes Lifetime-perspective prediction (DIAL) model for assessing risks of 5-year and 10-year cardiovascular disease (CVD) among Chinese patients with type 2 diabetes.Methods:Based on the Chinese Electronic Health Records Research in Yinzhou study, 83 503 patients with type 2 diabetes aged 30-75 years without a history of CVD at baseline were included from January 1, 2010 to December 31, 2020. Recalibrated NDR model was used to estimate 5-year risk, while the recalibrated DIAL model was used to predict 5-year and 10-year risks. The competing events adjusted Kaplan-Meier analysis was used to obtain the observed cardiovascular events. Discrimination C statistics evaluated model accuracy, calibration χ2 value, and calibration plots. Results:Through a median follow-up of 7.0 years, 7 326 cardiovascular events, and 2 937 non-vascular deaths were identified among a total of 83 503 subjects. The recalibrated NDR model overestimated 5-year risk by 39.4% in men and 8.6% in women, whereas the overestimation for the recalibrated DIAL model was 14.6% in men and 50.1% in women. The DIAL model had a better discriminative ability ( C-statistic=0.681, 95% CI: 0.672-0.690) than NDR model ( C-statistic=0.667, 95% CI: 0.657-0.677) in 5-year risk prediction for men, and the models had a similar ability for women ( C-statistic=0.699, 95% CI: 0.690-0.708 for NDR and C-statistic=0.698, 95% CI: 0.689-0.706 for DIAL). The prediction accuracy of the DIAL model was improved in the 10-year risk, with the underestimation being 1.6% for men and the overestimation being 12.8% for women. Conclusions:Both recalibrated NDR and DIAL models overestimated 5-year cardiovascular risk in Chinese patients with type 2 diabetes, while the higher overestimation was shown using the DIAL model. However, the improvement was found in predicting 10-year CVD risk using the DIAL model, which suggested the value of lifetime risk prediction and indicated the need for research on the lifetime risk prediction model for cardiovascular risk assessment in Chinese patients with type 2 diabetes.
