Association Between Four Non-Insulin-Based Insulin Resistance Indices and the Risk of Post-Stroke Depression

作者：Ping Wang, Mengchao Wang, Zhe Xie, Zhongwen Zhi, Yuqian Wang, Fan Liu, Yufeng Liu, Liandong Zhao · 发表于：Clinical Interventions in Aging · 年份：2025 · DOI：10.2147/cia.s501569 · 被引用次数：7 · 研究领域：Stroke Rehabilitation and Recovery、Cardiac Health and Mental Health、Dementia and Cognitive Impairment Research

Purpose: Research suggests that insulin resistance (IR) is associated with acute ischemic stroke (AIS) and depression. The use of insulin-based IR assessments is complicated. Therefore, we explored the relationship between four non-insulin-based IR indices and post-stroke depression (PSD). Patients and Methods: A total of 638 consecutive AIS patients were enrolled in this prospective cohort study. Clinical data were collected to compute indices such as the triglyceride glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI), insulin resistance metabolic score (METS-IR), and triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C). One month post-stroke, neuropsychological assessments were conducted using the 17-item Hamilton Depression Scale. Binary logistic regression analysis was performed to explore the relationship between the four non-insulin-based IR indices and PSD. Results: Ultimately, 381 patients completed the 1-month follow-up, including 112 (29.4%) with PSD. The PSD group exhibited significantly higher levels of the four IR indices compared to the non-PSD group. Logistic regression analysis demonstrated that these indicators were independently associated with PSD occurrence, both before and after adjusting for potential confounders (all P < 0.001). Tertile analyses indicated that the highest tertile group had a greater risk of PSD occurrence than the lowest tertile group for four IR indicators, even after adjusting for potential confounders (...