Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018
ObjectiveThe present study explores the prognostic relevance of triglyceride-glucose–based indices in assessing post-stroke survival among affected individuals.MethodsThis study utilized a multifaceted analytical approach to assess how triglyceride-glucose–based indicators relate to death risk in st...
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1617419/full |
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| author | Jiaqian Zheng Jiaqian Zheng Jiaqian Zheng Weiwen Mao Mengqian Sang Xinyu Pan Yiluo Xie Yichi Xie Yichi Xie |
| author_facet | Jiaqian Zheng Jiaqian Zheng Jiaqian Zheng Weiwen Mao Mengqian Sang Xinyu Pan Yiluo Xie Yichi Xie Yichi Xie |
| author_sort | Jiaqian Zheng |
| collection | DOAJ |
| description | ObjectiveThe present study explores the prognostic relevance of triglyceride-glucose–based indices in assessing post-stroke survival among affected individuals.MethodsThis 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 non-linear 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.ResultsThis 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).ConclusionThe 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. |
| format | Article |
| id | doaj-art-e323d1abbc734c68b80166e61cdbe7e9 |
| institution | DOAJ |
| issn | 1663-4365 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Aging Neuroscience |
| spelling | doaj-art-e323d1abbc734c68b80166e61cdbe7e92025-08-20T03:21:31ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-05-011710.3389/fnagi.2025.16174191617419Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018Jiaqian Zheng0Jiaqian Zheng1Jiaqian Zheng2Weiwen Mao3Mengqian Sang4Xinyu Pan5Yiluo Xie6Yichi Xie7Yichi Xie8Department of Respiratory Medicine, Changzhou Geriatric Hospital Affiliated to Soochow University, Changzhou, ChinaDepartment of Respiratory Medicine, Changzhou No.7 People’s Hospital, Changzhou, ChinaDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, ChinaDepartment of Respiratory Medicine, Changzhou No.7 People’s Hospital, Changzhou, ChinaDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, ChinaDepartment of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, ChinaDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, ChinaDepartment of Respiratory Medicine, Changzhou Geriatric Hospital Affiliated to Soochow University, Changzhou, ChinaDepartment of Respiratory Medicine, Changzhou No.7 People’s Hospital, Changzhou, ChinaObjectiveThe present study explores the prognostic relevance of triglyceride-glucose–based indices in assessing post-stroke survival among affected individuals.MethodsThis 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 non-linear 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.ResultsThis 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).ConclusionThe 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.https://www.frontiersin.org/articles/10.3389/fnagi.2025.1617419/fullstrokeTyG-related indexNHANESmortalityretrospective cohort analysis |
| spellingShingle | Jiaqian Zheng Jiaqian Zheng Jiaqian Zheng Weiwen Mao Mengqian Sang Xinyu Pan Yiluo Xie Yichi Xie Yichi Xie Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 Frontiers in Aging Neuroscience stroke TyG-related index NHANES mortality retrospective cohort analysis |
| title | Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 |
| title_full | Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 |
| title_fullStr | Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 |
| title_full_unstemmed | Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 |
| title_short | Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018 |
| title_sort | triglyceride glucose indices predict all cause mortality after stroke in nhanes 1999 2018 |
| topic | stroke TyG-related index NHANES mortality retrospective cohort analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2025.1617419/full |
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