Development and validation of a risk assessment model for prediabetes in China national diabetes survey

作     者：Li-Ping Yu Fen Dong Yong-Ze Li Wen-Ying Yang Si-Nan Wu Zhong-Yan Shan Wei-Ping Teng Bo Zhang 

作者机构：Department of EndocrinologyChina-Japan Friendship HospitalBeijing 100029China Institute of Clinical Medical SciencesChina-Japan Friendship HospitalBeijing 100029China Department of Endocrinology and MetabolismFirst Hospital of China Medical UniversityShenyang 110001Liaoning ProvinceChina 

出 版 物：《World Journal of Clinical Cases》 (世界临床病例杂志)

年 卷 期：2022年第10卷第32期

页      面：11789-11803页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：Supported by the National Key Research and Development Program of China No.2018YFC1313902 

主　　题：Hyperglycemia Prediabetes Risk assessment model Risk scores 

摘      要：BACKGROUND Prediabetes risk assessment models derived from large sample sizes are *** To establish a robust assessment model for prediabetes and to validate the model in different *** The China National Diabetes and Metabolic Disorders Study(CNDMDS)collected information from 47325 participants aged at least 20 years across China from 2007 to *** Thyroid Disorders,Iodine Status and Diabetes Epidemiological Survey(TIDE)study collected data from 66108 participants aged at least 18 years across China from 2015 to 2017.A logistic model with stepwise selection was performed to identify significant risk factors for prediabetes and was internally validated by bootstrapping in the *** validations were performed in diverse populations,including populations of Hispanic(Mexican American,other Hispanic)and non-Hispanic(White,Black and Asian)participants in the National Health and Nutrition Examination Survey(NHANES)in the United States and 66108 participants in the TIDE study in China.C statistics and calibration plots were adopted to evaluate the model’s discrimination and calibration *** A set of easily measured indicators(age,education,family history of diabetes,waist circumference,body mass index,and systolic blood pressure)were selected as significant risk factors.A risk assessment model was established for prediabetes with a C statistic of 0.6998(95%CI:0.6933 to 0.7063)and a calibration slope of *** externally validated in the NHANES and TIDE studies,the model showed increased C statistics in Mexican American,other Hispanic,Non-Hispanic Black,Asian and Chinese populations but a slightly decreased C statistic in non-Hispanic White *** the risk assessment model to the TIDE population,we obtained a C statistic of 0.7308(95%CI:0.7260 to 0.7357)and a calibration slope of 1.1137.A risk score was derived to assess *** with scores≥7 points were at high risk of prediabetes,with a se