Association between TyG-FI and new-onset stroke in a Chinese elderly cohort

Abstract Objective To investigate the association between the triglyceride-glucose–frailty index (TyG-FI) and stroke risk, and to compare its discriminatory ability with other TyG-derived composite indices. Method This study included 5,010 participants from the China Health and Retirement Longitudinal Study (CHARLS). TyG-FI and other TyG-derived indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-ABSI, and TyG-BRI) were calculated using standardized formulas. Logistic regression models, restricted cubic spline (RCS) analysis, receiver operating characteristic (ROC) curve analysis with DeLong tests, and subgroup analyses were performed to evaluate the associations and discriminative ability of these indices for stroke, adjusting for demographic, lifestyle, and metabolic covariates. Results Elevated TyG-FI quartiles were associated with a graded increase in stroke risk, with significant elevations observed in Q3 (OR = 1.901, 95% CI: 1.378–2.644) and Q4 (OR = 2.090, 95% CI: 1.515–2.910) in the fully adjusted model. RCS analysis revealed a non-linear threshold effect (P-overall < 0.0001; P-non-linear = 0.0190). TyG-FI demonstrated modest discriminatory ability for stroke (AUC = 0.653, 95% CI: 0.624–0.681), which showed a statistically significant but marginal improvement over FI alone (AUC = 0.635, P = 0.007). It significantly outperformed the TyG index (AUC = 0.630, P = 0.009) and all other TyG-derived composite indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-ABSI, and TyG-BRI; all P < 0.01). However, when compared with FI alone, TyG-FI showed only a slight, yet statistically significant, improvement. Associations of most conventional TyG-obesity composite indices with stroke risk were substantially attenuated after full adjustment and lost statistical significance. Subgroup analyses suggested more pronounced associations in younger participants, females, and individuals with lower HDL-C levels. Conclusion TyG-FI is independently associated with incident stroke in older Chinese adults, with modest discriminative ability comparable to FI alone. While it may serve as a practical risk stratification tool, its clinical utility should be interpreted with appropriate caution.

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Publication Details

Journal
BMC Neurology
Published
2026-10-17
DOI
https://doi.org/10.1186/s12883-026-05494-0
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Association between TyG-FI and new-onset stroke in a Chinese elderly cohort

Fangyuan Zhou, Ting Li, Xuewen Liu, Hailian Zang et al.
BMC Neurology
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Association between TyG-FI and new-onset stroke in a Chinese elderly cohort

Fangyuan Zhou, Ting Li, Xuewen Liu, Hailian Zang, Meng Qi, Mengchen Chen
article en

Abstract

Abstract Objective To investigate the association between the triglyceride-glucose–frailty index (TyG-FI) and stroke risk, and to compare its discriminatory ability with other TyG-derived composite indices. Method This study included 5,010 participants from the China Health and Retirement Longitudinal Study (CHARLS). TyG-FI and other TyG-derived indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-ABSI, and TyG-BRI) were calculated using standardized formulas. Logistic regression models, restricted cubic spline (RCS) analysis, receiver operating characteristic (ROC) curve analysis with DeLong tests, and subgroup analyses were performed to evaluate the associations and discriminative ability of these indices for stroke, adjusting for demographic, lifestyle, and metabolic covariates. Results Elevated TyG-FI quartiles were associated with a graded increase in stroke risk, with significant elevations observed in Q3 (OR = 1.901, 95% CI: 1.378–2.644) and Q4 (OR = 2.090, 95% CI: 1.515–2.910) in the fully adjusted model. RCS analysis revealed a non-linear threshold effect (P-overall < 0.0001; P-non-linear = 0.0190). TyG-FI demonstrated modest discriminatory ability for stroke (AUC = 0.653, 95% CI: 0.624–0.681), which showed a statistically significant but marginal improvement over FI alone (AUC = 0.635, P = 0.007). It significantly outperformed the TyG index (AUC = 0.630, P = 0.009) and all other TyG-derived composite indices (TyG-BMI, TyG-WC, TyG-WHtR, TyG-ABSI, and TyG-BRI; all P < 0.01). However, when compared with FI alone, TyG-FI showed only a slight, yet statistically significant, improvement. Associations of most conventional TyG-obesity composite indices with stroke risk were substantially attenuated after full adjustment and lost statistical significance. Subgroup analyses suggested more pronounced associations in younger participants, females, and individuals with lower HDL-C levels. Conclusion TyG-FI is independently associated with incident stroke in older Chinese adults, with modest discriminative ability comparable to FI alone. While it may serve as a practical risk stratification tool, its clinical utility should be interpreted with appropriate caution.

BMC Neurology
First Affiliated Hospital of Liaoning Medical University (CN), Jinzhou Medical University (CN)
Good health and well-being
Openalex Percentile: Top 11%
Diabetes, Cardiovascular Risks, and Lipoproteins
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