Evidence mapPaperPMID 41107913Full record

ArticleEuropean journal of medical research2025

Longitudinal changes in estimated glucose disposal rate and risk of cardiovascular disease among adults with cardiovascular-kidney-metabolic syndrome stages 0-3: a nationwide prospective cohort study.

Xiaoming Zhang, Rui Zeng, Zhigang Wu, Yi Xiao, Siyi Wang, Yufei Zeng, Tenghui Fan, Huajing Wu, Kun Huang, Wan Zhu and 15 more

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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25 authors.

Xiaoming Zhang *Department of Emergency, the People's Hospital of Baoan Shenzhen, Shenzhen, China.
Rui Zeng *School of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Zhigang Wu *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
Yi XiaoSchool of Mathematics and Physics, Jinggangshan University, Ji'an, Jiangxi, China.
Siyi WangDepartment of Epidemiology, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China.
Yufei ZengSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Tenghui FanSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Huajing WuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Kun HuangSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Wan ZhuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Fayi XieSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Ke ZhuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Dongmei YeSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Zhiqi JiangSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Aizhang ZhuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Lihuan ChenSchool of Chinese Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Mengxia ShiSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Mingxing LaiSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Ruohan WuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Yunfeng LiuSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Jiahui BianSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Xiaotong SunSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China.
Jiang WangSchool of Basic Medicine, Jinggangshan University, Ji'an, Jiangxi, China. 9920070082@jgsu.edu.cn.
Wenwu ZhangDepartment of Emergency, the People's Hospital of Baoan Shenzhen, Shenzhen, China. zww5@sina.com.
Yunzhi YangDepartment of Emergency, the People's Hospital of Baoan Shenzhen, Shenzhen, China. yyzszba@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aging population and medical advancements have led to a rise in chronic conditions such as metabolic syndrome, cardiovascular disease (CVD), and chronic kidney disease, giving rise to the concept of cardiovascular-kidney-metabolic (CKM) syndrome. The estimated glucose disposal rate (eGDR) is an important surrogate marker of insulin sensitivity; however, its longitudinal impact on CVD risk across CKM syndrome stages 0 to 3 remains unclear.

methodsData were derived from the China Health and Retirement Longitudinal Study (CHARLS). After excluding participants lacking CKM stage 0-3 diagnostic indicators and those with incomplete data, a total of 3,503 eligible individuals were included. eGDR was calculated based on waist circumference, hypertension status, and HbA1c level. K-means clustering was applied to classify participants into five distinct trajectories based on eGDR dynamics. Cox proportional hazards models with increasing levels of adjustment were constructed to examine the association between eGDR and incident CVD. Additionally, restricted cubic spline (RCS) and weighted quantile sum (WQS) regression analyses were conducted for further evaluation.

resultsDuring a three-year follow-up, 504 participants (14.39%) developed CVD. Compared with participants in the persistently high eGDR group (Class 1), the fully adjusted Cox models revealed significantly increased CVD risk in Class 4 (HR = 2.01; 95% CI 1.46-2.77; P < 0.001), and Class 5 (HR = 2.09; 95% CI 1.16-3.97; P < 0.05), while no significant association was observed for Class 2 and Class3. When cumulative eGDR was treated as a continuous variable, each unit increase in eGDR was associated with a 7% reduction in CVD risk (HR = 0.93; 95% CI 0.90-0.96; P < 0.001). Participants in the highest cumulative eGDR quintile exhibited a 66% lower risk of CVD compared to those in the lowest quintile in the fully adjusted model. RCS analysis showed an overall inverse relationship between cumulative eGDR and CVD risk, with a marked risk reduction when cumulative eGDR exceeded 28.5 (P for non-linearity > 0.05). WQS regression further identified waist circumference as the most influential component of eGDR in relation to CVD risk.

conclusionLower cumulative eGDR and unfavorable eGDR trajectories are significantly associated with increased CVD risk among individuals in CKM stages 0-3. These findings suggest that monitoring eGDR may enhance early CVD risk prediction and guide prevention strategies in this population.

Indexed as

Blood GlucoseCardiovascular DiseasesMetabolic SyndromeAgedChinaFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsBlood GlucoseCardiovascular diseaseCHARLSCKM syndromeEstimated glucose disposal rate (eGDR)Longitudinal cohort

Identifiers

PMID41107913
PMCPMC12534988

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