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

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

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...

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Bibliographic Details
Main Authors: Bingtian Dong, Yuping Chen, Xiaocen Yang, Zhengdong Chen, Hua Zhang, Yuan Gao, Enfa Zhao, Chaoxue Zhang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Cardiovascular Diabetology
Subjects:
Cardiovascular-kidney-metabolic syndrome
Cardiovascular disease
Insulin resistance
Estimated glucose disposal rate
Online Access:https://doi.org/10.1186/s12933-025-02729-1
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https://doi.org/10.1186/s12933-025-02729-1

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