ORIGINAL RESEARCH article
Front. Aging Neurosci.
Sec. Neuroinflammation and Neuropathy
Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1617419
This article is part of the Research TopicStroke Research in the Elderly: Addressing Ageism and PrognosticationView all 10 articles
Triglyceride-Glucose Indices Predict All-Cause Mortality after Stroke in NHANES 1999-2018
Provisionally accepted
- 1Bengbu Medical College, Bengbu, Anhui Province, China
- 2Changzhou No. 7 People’s Hospital, Changzhou, China
- 3Nanjing Medical University, Nanjing, Jiangsu Province, China
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Objective: The present study explores the prognostic relevance of triglyceride-glucose-based indices in assessing post-stroke survival among affected individuals. Methods: This study utilized a multifaceted analytical approach to assess how triglyceride-glucose-based indicators relate to death risk in stroke patients. This study was analyzed using a multivariate Cox proportional risk regression model incorporating sampling weights, while a restricted cubic spline function was introduced to assess trends in nonlinear associations between exposure variables and outcomes. In addition, interaction terms were set and stratified analyses were conducted to verify the robustness and heterogeneity of the model results. Results: This research ultimately included 796 individuals diagnosed with stroke. When adjusting for a wide range of potential confounders, those in the top TyG-BMI quartile exhibited the most pronounced reduction in mortality risk compared to individuals in the lowest category, with a hazard ratio of 0.20 (95% CI: 0.08-0.50), highlighting its protective potential across TyG-BMI. In contrast, individuals falling within the fourth quartile of the TyG-WHtR index demonstrated the strongest positive correlation with the risk of all-cause mortality (Hazard Ratio = 4.61, 95% CI: 1.77-12.00). Moreover, analysis using restricted cubic splines indicated a significant non-linear association between TyG-BMI levels and mortality outcomes (P < 0.05). No statistical interactions were observed between mortality outcomes and demographic or clinical variables including age, sex, smoking, asthma, coronary artery disease, diabetes, or hypertension across any TyG-related indices (P > 0.05). Conclusion: The study outcomes suggest that stroke patients with reduced TyG-BMI and elevated TyG-WHtR levels tend to face increased mortality risks. Nonetheless, addressing obesity may be crucial in exploring potential causal pathways.
Keywords: Stroke, TyG-related index, NHANES, Mortality, Retrospective cohort analysis
Received: 24 Apr 2025; Accepted: 14 May 2025.
Copyright: © 2025 Zheng, Mao, Sang, Pan, Xie and Xie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yichi Xie, Changzhou No. 7 People’s Hospital, Changzhou, China
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