High triglyceride-glucose index at admission is a predictor of post-stroke cognitive impairment in patients with acute ischemic stroke

医学 接收机工作特性 内科学 逻辑回归 甘油三酯 蒙特利尔认知评估 冲程(发动机) 糖尿病 多元分析 前瞻性队列研究 认知障碍 胆固醇 内分泌学 疾病 机械工程 工程类
作者
Yongqing Cheng,Honghong Zhu,Dingming Sun,Lei Li,Changxia Liu,Shifu Sun,Yan Guo,Cong Gu,Yang Gao,Guojun He,Shouru Xue
出处
期刊:Journal of stroke and cerebrovascular diseases [Elsevier BV]
卷期号:33 (1): 107510-107510 被引量:7
标识
DOI:10.1016/j.jstrokecerebrovasdis.2023.107510
摘要

Background Post-stroke cognitive impairment (PSCI) is a very common complication of ischemic stroke (IS). Triglyceride-glucose (TyG) index was an effective alternative marker of insulin resistance (IR). This prospective study was designed to explore the correlation between TyG index and PSCI. Methods Between January 1 2021 to June 30 2022, consecutive patients with first onset IS were enrolled prospectively. Baseline information was collected at admission and fasting blood was drawn the next morning. Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive function at three months after stroke. Multiple regression analysis was used to explore the correlation between PSCI and TyG. Receiver operating characteristic (ROC) was performed to evaluate the predictive ability. Results Ultimately, 313 patients were enrolled in this study. The TyG index was higher in patients with PSCI than those without PSCI (8.99 (8.55, 9.54) vs. 8.61(8.25, 8.87), P<0.001). The spearman correlation analysis indicated that TyG index was negatively correlated with MoCA score (r=-0.272, P<0.001). The multivariate logistic regression analysis demonstrated that TyG index was correlated with PSCI independently (P<0.001) regardless of whether the patients had diabetes or not. The area under curve (AUC) of the ROC was 0.684 (95%CI=0.635-0.768, P<0.001). The optimal cutoff value of TyG index for predicting PSCI was 8.81, with a sensitivity of 61.7% and a specificity of 73.6%. Conclusion A higher TyG index level at admission was independently correlated with increased risk of PSCI three months later and could be used as a predictor.
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