Zhao Zongren, Liu Yu, Zheng Jinyu, Li Jing
Department of Neurosurgery, Affiliated Huaian Hospital of Xuzhou Medical University, Huaian, China.
Front Neurol. 2025 Mar 11;16:1540160. doi: 10.3389/fneur.2025.1540160. eCollection 2025.
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.
Data were obtained from the China Longitudinal Study on Health and Retirement (CHARLS). The analysis included 6,375 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.
Out of the 8,060 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 ( for interaction = 0.01).
Poorly controlled eGDR level is associated with an increased risk of stroke in middle-aged and elderly people. Monitoring changes in eGDR may help identify individuals at high risk of stroke early.
葡萄糖处置率（eGDR）最近已被确认为胰岛素抵抗的替代标志物，为评估代谢健康提供了一种新方法。然而，eGDR水平变化与中风发病率之间的关系仍未得到充分研究。本研究旨在探讨eGDR控制对中风发病率及相关事件的影响。
数据来自中国健康与养老追踪调查（CHARLS）。分析纳入了6375名年龄在45岁及以上的参与者，他们拥有来自CHARLS 2011年、2013年和2015年完整的中风和eGDR数据。采用逻辑多变量回归分析eGDR与中风之间的关系，并使用阈值分析确定拐点。我们根据社会人口统计学变量将参与者分为不同亚组，以观察中风与其他变量之间的关系。
在该队列分析的8060名个体中，821人被诊断为新发中风。新发中风风险与eGDR之间存在显著负相关，eGDR每增加一个四分位数间距（IQR），风险降低38%[比值比（OR）：0.62；95%置信区间（CI）：（0.45，0.84）]。分层分析显示年龄是年龄与中风关系中的一个潜在调节因素（交互作用P = 0.01）。
eGDR水平控制不佳与中老年人中风风险增加有关。监测eGDR的变化可能有助于早期识别中风高危个体。
