Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study.

Journal: JMIR medical informatics
Published Date: Jun 13, 2025

Abstract

BACKGROUND: Insulin resistance (IR), a precursor to type 2 diabetes and a major risk factor for various chronic diseases, is becoming increasingly prevalent in China due to population aging and unhealthy lifestyles. Current methods like the gold-standard hyperinsulinemic-euglycemic clamp has limitations in practical application. The development of more convenient and efficient methods to predict and manage IR in nondiabetic populations will have prevention and control value.

Authors

  • Ting Peng
    Health Management Center, Third Xiangya Hospital, Changsha, China.
  • Rujia Miao
    Health Management Center, Third Xiangya Hospital, Changsha, China.
  • Hao Xiong
  • Yanhui Lin
    Health Management Center, Third Xiangya Hospital, Changsha, China.
  • Duzhen Fan
    School of Mathematics and Statistics, Hunan University of Technology and Business, 569 Yuelu District, Changsha, 410205, China, 86 18692269664, 86 88618571.
  • Jiayi Ren
    Department of Respiratory Medicine, Sir Run Run Shaw Hospital and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
  • Jiangang Wang
    Health Management Center, Third Xiangya Hospital, Central South University, Changsha 410013, China. 600410@csu.edu.cn.
  • Yuan Li
    NHC Key Lab of Hormones and Development and Tianjin Key Lab of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Institute of Endocrinology, Tianjin, China.
  • Jianwen Chen
    Orthopedics, Rehabilitation Hospital of National Research Center for Rehabilitation Technical Aids, Beijing, China.

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