Predicting the Risk of Type 2 Diabetes Mellitus with the New Chinese Diabetes Risk Score in a Cohort Study

Autor: Hongen Chen, Yuhang She, Shuhong Dai, Li Wang, Na Tao, Shaofen Huang, Shan Xu, Yanmei Lou, Fulan Hu, Liping Li, Changyi Wang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: International Journal of Public Health, Vol 68 (2023)
Druh dokumentu: article
ISSN: 1661-8564
DOI: 10.3389/ijph.2023.1605611
Popis: Objectives: The New Chinese Diabetes Risk Score (NCDRS) is a noninvasive tool to assess the risk of type 2 diabetes mellitus (T2DM) in the Chinese population. Our study aimed to evaluate the performance of the NCDRS in predicting T2DM risk with a large cohort.Methods: The NCDRS was calculated, and participants were categorized into groups by optimal cutoff or quartiles. Hazard ratios (HRs) and 95% confidential intervals (CIs) in Cox proportional hazards models were used to estimate the association between the baseline NCDRS and the risk of T2DM. The performance of the NCDRS was assessed by the area under the curve (AUC).Results: The T2DM risk was significantly increased in participants with NCDRS ≥25 (HR = 2.12, 95% CI 1.88–2.39) compared with NCDRS
Databáze: Directory of Open Access Journals