TyG-BMI as a Predictor of Ischemic Stroke Over 10 Years in Middle-Aged and Older Adults: Findings from the China Cardiometabolic Disease and Cancer Cohort (4C) Study

Ying Miao^1*Yu Wang²Yuting He³Pijun Yan¹Qin Wan^1*

• ¹Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, China
• ²Department of Cardiology, Luzhou People's Hospital, Luzhou, Sichuan Province, China
• ³Sixth People's Hospital of Chengdu, Chengdu, Sichuan Province, China

Backgr ound: Ischemic stroke (IS) is a leading cause of death and disability, imposing a significant economic burden globally. Research has demonstrated that insulin resistance (IR) plays a key role in the development of atherosclerosis, platelet dysfunction, and a hypercoagulable state, all of which contribute to the pathogenesis and progression of IS. The triglyceride-glucose (TyG) index serves as a practical tool for assessing insulin sensitivity, with previous studies exploring its correlation with IS. However, the relationship between the novel TyG-body mass index (TyG-BMI), which combines TyG with body mass index (BMI) as a measure of general obesity, and IS remains unclear. Therefore, this study employs a prospective design to assess the predictive value of TyG-BMI for the 10-year risk of IS in individuals without intervention. Methods: The study population was derived from the China Cardiometabolic Disease and Cancer Cohort (4C) Study, predominantly comprising participants from Luzhou City, Sichuan Province, and primarily targeting individuals aged 40 and above. Comprehensive data collection was conducted using both questionnaires and specialized medical equipment, covering physical measurements, blood pressure, and relevant biochemical markers. Participants with a history of stroke were excluded from the study. Based on the initial data, participants were divided into four groups according to the TyG-BMI quartiles. Spearman correlation analysis was used to examine the relationship between TyG-BMI and clinical and laboratory parameters. The Log-rank test was applied to analyze differences in the cumulative incidence of IS among the four groups. The Cox proportional hazards model was used to analyze the relationship between TyG-BMI and the 10-year incidence of new IS. Additionally, the ROC curve was employed to assess the predictive value of TyG-BMI for the 10-year incidence of new IS in the middle-aged and elderly population. Results: This study included 9,406 participants, consisting of 3,139 males (33.4%)