Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

Journal: Cardiovascular diabetology
PMID: 40241176

Abstract

BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD). While substantial evidence supports a correlation between the estimated glucose disposal rate (eGDR) and CVD events, its predictive value compared with other insulin resistance (IR) indices, such as triglyceride-glucose (TyG) index, TyG-waist circumference, TyG-body mass index, TyG-waist-to-height ratio, triglyceride-to-high density lipoprotein cholesterol ratio, and the metabolic score for insulin resistance, remains unclear.

Authors

  • Bingtian Dong
    Department of Ultrasound, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Yuping Chen
    a Department of Physical Therapy , Georgia State University , Atlanta , GA , USA.
  • Xiaocen Yang
    Department of Ultrasound, Chenggong Hospital, Xiamen University, Xiamen, China.
  • Zhengdong Chen
    Department of Internal Medicine, Diabetology and Nephrology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
  • Hua Zhang
    School of Clinical Medicine, Hangzhou Medical College, Hangzhou, China.
  • Yuan Gao
    Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang Province, China.
  • Enfa Zhao
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. zhaoenfasy@163.com.
  • Chaoxue Zhang
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

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