Open Access
Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies
1
Department of Cardiology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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2
Department of Cardiology, Chongren County People’s Hospital, Fuzhou, China
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3
Discipline Construction Office, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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4
Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Publication type: Journal Article
Publication date: 2025-04-25
scimago Q1
wos Q1
SJR: 1.240
CiteScore: 5.6
Impact factor: 4.2
ISSN: 1476511X
Abstract
Insulin resistance (IR) plays a major role in increasing the risk of stroke. The objective of this research is to systematically evaluate and compare the impact of cumulative exposure over time to four commonly used IR surrogates—triglyceride-glucose (CumTyG) index, metabolic score for IR (CumMetS-IR), estimated glucose disposal rate (CumeGDR) and triglyceride to high-density lipoprotein cholesterol (CumTG/HDL-C) ratio—on stroke risk, providing insights for optimizing monitoring strategies for primary stroke prevention. The study population was sourced from the China Health and Retirement Longitudinal Study (CHARLS2011-2018). Cumulative exposure to IR (CumIR) surrogates was calculated as the mean value of IR surrogates measured in the first and third waves of CHARLS, multiplied by the total exposure duration. The primary endpoint was incident stroke, determined through questionnaires in the third and fourth waves of CHARLS. Multivariable Cox regression models were applied to estimate and compare HRs and 95% CIs for stroke across quartiles of CumIR surrogates. A total of 4,669 participants with no history of stroke at baseline were included. During a median follow-up of 6 years, 347 new stroke events (7.43%) were recorded. The incidence rates of stroke in the highest quartiles of CumTyG index, CumTG/HDL-C ratio, and CumMetS-IR, as well as the lowest quartile of CumeGDR, were 9.67%, 9.93%, 10.45%, and 13.02%, respectively. In terms of risk assessment, the multivariable Cox regression analysis showed that the highest quartiles of CumTyG index, CumTG/HDL-C ratio, and CumMetS-IR and the lowest quartile of CumeGDR were associated with stroke risk, with corresponding HR (95% CI) of 1.48(1.05–2.10), 1.61(1.15–2.24), 1.72(1.21–2.43), and 3.57(2.25–5.68), respectively. In terms of event prediction, receiver operating characteristic analysis revealed that CumeGDR had the highest predictive accuracy for incident stroke compared with other common IR surrogates. In assessing stroke risk and predicting events in middle-aged and elderly populations, cumulative exposure to eGDR demonstrates significant advantages over other common IR surrogates. Incorporating eGDR as an IR monitoring marker is recommended for primary stroke prevention.
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Hong D. et al. Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies // Lipids in Health and Disease. 2025. Vol. 24. No. 1. 158
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Hong D., Li X., Sheng G., Hongyi Y., WANG W., Zou Y. Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies // Lipids in Health and Disease. 2025. Vol. 24. No. 1. 158
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TY - JOUR
DO - 10.1186/s12944-025-02579-6
UR - https://lipidworld.biomedcentral.com/articles/10.1186/s12944-025-02579-6
TI - Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies
T2 - Lipids in Health and Disease
AU - Hong, Dezhi
AU - Li, Xiaohui
AU - Sheng, Guotai
AU - Hongyi, Yang
AU - WANG, Wei
AU - Zou, Yang
PY - 2025
DA - 2025/04/25
PB - Springer Nature
IS - 1
VL - 24
SN - 1476-511X
ER -
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@article{2025_Hong,
author = {Dezhi Hong and Xiaohui Li and Guotai Sheng and Yang Hongyi and Wei WANG and Yang Zou},
title = {Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies},
journal = {Lipids in Health and Disease},
year = {2025},
volume = {24},
publisher = {Springer Nature},
month = {apr},
url = {https://lipidworld.biomedcentral.com/articles/10.1186/s12944-025-02579-6},
number = {1},
pages = {158},
doi = {10.1186/s12944-025-02579-6}
}