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维持性血液透析患者缺血性卒中的预测价值指数

The predictive value index for ischemic stroke in patients undergoing maintenance hemodialysis.

作者信息

Wang Yaqing, He Xiaojie, Wang Yuqing, Li Xiaodong

机构信息

Graduate School of Chengde Medical University, Chengde, Hebei, China.

Graduate School of Hebei Medical University, Shijiazhuang, Hebei, China.

出版信息

Front Med (Lausanne). 2025 May 30;12:1584674. doi: 10.3389/fmed.2025.1584674. eCollection 2025.

DOI:10.3389/fmed.2025.1584674
PMID:40520776
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12162943/
Abstract

OBJECTIVES

Triglyceride-glucose (TyG) index is strongly correlated with insulin resistance (IR). A plethora of studies has established the role of TyG index in cerebrovascular diseases. However, the predictive value of TyG index for new-onset ischemic stroke (IS) in maintenance hemodialysis (MHD) patients remains unclear. This study aims to explore the correlation between TyG index and the occurrence of IS in MHD patients.

METHODS

This study analyzed clinical data and cranial Computed Tomography results of patients undergoing MHD at Baoding First Central Hospital from January 2019 to January 2024. TyG index was calculated using fasting blood glucose and triglyceride levels. Univariate Logistic regression analysis was employed to identify factors associated with IS, incorporating variables with < 0.05 into multivariate Logistic regression analysis, with results expressed as odds ratio (OR) and 95% confidence interval (95% CI). Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of TyG index for the occurrence of IS.

RESULTS

Triglyceride-glucose index in the IS group was significantly higher than that in the non-IS group, with a statistically significant difference [9.32 (8.87, 9.92) vs 8.59 (8.06, 9.12), < 0.001]. Variables with < 0.05 from the univariate Logistic regression analysis, along with clinically relevant variables, were included in the multivariate Logistic regression analysis, indicating that an elevated TyG index is a factor associated with IS in hemodialysis patients (OR = 2.09, 95% CI 1.073-3.781, < 0.001). ROC curve analysis revealed that the optimal cutoff value of TyG index for diagnosing new-onset IS in MHD patients was 9.2, with an area under the curve of 0.75 (95% CI 0.70-0.79, < 0.001). Restricted cubic spline analysis demonstrated a non-linear relationship between TyG index and risk (non-linear = 0.010).

CONCLUSION

Triglyceride-glucose index is significantly elevated in MHD patients with new-onset IS, serving as a potential risk factor for such events and offering valuable clinical diagnostic reference.

摘要

目的

甘油三酯-葡萄糖(TyG)指数与胰岛素抵抗(IR)密切相关。大量研究已证实TyG指数在脑血管疾病中的作用。然而,TyG指数对维持性血液透析(MHD)患者新发缺血性卒中(IS)的预测价值仍不明确。本研究旨在探讨TyG指数与MHD患者IS发生之间的相关性。

方法

本研究分析了2019年1月至2024年1月在保定市第一中心医院接受MHD治疗的患者的临床资料和头颅计算机断层扫描结果。TyG指数通过空腹血糖和甘油三酯水平计算得出。采用单因素Logistic回归分析确定与IS相关的因素,将P<0.05的变量纳入多因素Logistic回归分析,结果以比值比(OR)和95%置信区间(95%CI)表示。采用受试者工作特征(ROC)曲线分析评估TyG指数对IS发生的预测价值。

结果

IS组的甘油三酯-葡萄糖指数显著高于非IS组,差异有统计学意义[9.32(8.87,9.92)对8.59(8.06,9.12),P<0.001]。单因素Logistic回归分析中P<0.05的变量以及临床相关变量被纳入多因素Logistic回归分析,结果表明TyG指数升高是血液透析患者发生IS的一个相关因素(OR=2.09,95%CI 1.073-3.781,P<0.001)。ROC曲线分析显示,MHD患者诊断新发IS的TyG指数最佳截断值为9.2,曲线下面积为0.75(95%CI 0.70-0.79,P<0.001)。限制立方样条分析表明TyG指数与风险之间存在非线性关系(非线性P=0.010)。

结论

新发IS的MHD患者的甘油三酯-葡萄糖指数显著升高,是此类事件的潜在危险因素,并提供了有价值的临床诊断参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/dd3e72333ba7/fmed-12-1584674-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/c72a78b959e5/fmed-12-1584674-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/daf66648a61e/fmed-12-1584674-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/28e9ec2955ab/fmed-12-1584674-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/dd3e72333ba7/fmed-12-1584674-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/c72a78b959e5/fmed-12-1584674-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/daf66648a61e/fmed-12-1584674-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/28e9ec2955ab/fmed-12-1584674-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f49/12162943/dd3e72333ba7/fmed-12-1584674-g004.jpg

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