甘油三酯-葡萄糖指数作为区分脑卒中病因亚型的生物标志物：一项基于医院的横断面研究

IF 1.9 4区医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL

Biomarkers in medicine Pub Date : 2025-01-01 Epub Date: 2025-01-07 DOI:10.1080/17520363.2024.2443382

Nizar Daoussi, Imen Zemni, Narjes Gouta, Yasmine Saad, Rihab Ben Dhia, Mariem Mhiri, Asma Belghith-Sriha, Mahbouba Frih-Ayed

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引用次数: 0

摘要

背景：准确区分脑卒中病因亚型对医生提供有针对性的治疗至关重要。甘油三酯-葡萄糖（TyG）指数是胰岛素抵抗的标志，与卒中风险相关，但其在区分卒中病因亚型中的作用尚不清楚。我们的目的是评估TyG指数区分心脏栓塞性（CE）和非心脏栓塞性（NCE）中风的能力。方法：对320例连续脑卒中患者进行横断面分析。采用二元逻辑回归分析TyG指数与所研究的脑卒中亚型之间的关系。受试者工作特征（ROC）曲线分析确定了CE与NCE区分的最佳TyG指数截止值。结果：TyG指数与NCE亚型独立相关(OR = 2.38；95% ci = 1.52-3.73；结论：TyG指数可作为CE与NCE脑卒中鉴别的生物标志物。

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Triglyceride-glucose index as a biomarker to differentiate stroke etiologic subtypes: a hospital-based cross-sectional study.

Background: Accurate distinction between stroke etiologic subtypes is critical for physicians to provide tailored treatment. The triglyceride-glucose (TyG) index, a marker of insulin resistance, has been associated with stroke risk but its role in distinguishing stroke etiologic subtypes remains unclear. We aimed to assess the TyG index's ability to differentiate cardioembolic (CE) from non-cardioembolic (NCE) strokes.

Methods: We studied 320 consecutive stroke patients in a cross-sectional analysis. Binary logistic regression was performed to analyze the association between the TyG index and the studied stroke subtypes. Receiver operating characteristic (ROC) curve analysis identified the optimal TyG index cutoff for CE vs. NCE differentiation.

Results: TyG index correlated independently with NCE subtype (OR = 2.38; 95% CI = 1.52-3.73; p < 0.001). Logistic regression revealed increasing NCE stroke risk with higher TyG index quartiles. The ROC curve yielded an AUC of 0.636 (95% CI = 0.565-0.707; p < 0.001), with a cutoff of 8.8 (sensitivity = 68.8%, specificity = 57%).

Conclusion: The TyG index can be a useful biomarker in the differentiation between CE and NCE strokes.

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来源期刊

Biomarkers in medicine 医学-医学：研究与实验

CiteScore

3.80

自引率

4.50%

发文量

审稿时长

6-12 weeks

期刊介绍： Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory. Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice. As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications. Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest. Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.