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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Stroke

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1540160

This article is part of the Research Topic Stroke Research in the Elderly: Addressing Ageism and Prognostication View all 5 articles

The Role of Glucose Disposal Efficiency in Predicting Stroke Among Older Adults: A Cohort Study

Provisionally accepted
  • Huai'an Second People's Hospital, Huaian, China

The final, formatted version of the article will be published soon.

    Background: Glucose disposal rate (eGDR) has recently been validated as a surrogate marker of insulin resistance, providing a novel approach to assess metabolic health. However, the relationship between changes in eGDR levels and stroke incidence remains underexplored. The current study aims to investigate the impact of eGDR control on stroke incidence and related events. Methods: Data were obtained from the China Longitudinal Study on Health and Retirement (CHARLS). The analysis included 6375 participants aged 45 and above with complete stroke and eGDR data from the CHARLS for 2011, 2013 and 2015. Logistic multivariable regression examined the relationship between eGDR and stroke, using threshold analysis to identify inflection points. we categorized participants into distinct subgroups based on sociodemographic variables to see the relationship between stroke and other variables . Results: Out of the 8060 individuals analyzed in the cohort, 821 were diagnosed with new-onset stroke. There was a notable negative correlation found between new-onset risk of stroke and eGDR, with each Interquartile Range (IQR) increment in eGDR leading to a 38% risk reduction (OR: 0.62; 95% CI: (0.45,0.84). Stratified analyses revealed age as a potential modifier in the age-stroke relationship (P for interaction = 0.01). Conclusions: Poorly controlled eGDR level is associated with an increased risk of stroke in middleaged and elderly people. Monitoring changes in eGDR may help identify individuals at high risk of stroke early.

    Keywords: eGDR, CHARLS, Stroke, subgroups, Interquartile range

    Received: 05 Dec 2024; Accepted: 14 Feb 2025.

    Copyright: © 2025 Zhao, Liu and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jinyu Zheng, Huai'an Second People's Hospital, Huaian, 223002, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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