What is the clinical evidence from this study?

Study design: Cohort. Population: Cardiovascular disease (n=1110). Intervention: High TyG-WC index vs. Low TyG-WC index. Primary outcome: Cardiovascular disease (CVD) (HR 2.61, 95% CI 1.64-4.14, p=<0.001).

June 19, 2025Lipids in Health and Disease10 citationsOpen Access

Triglyceride-glucose index and its related factors may be predictors for cardiovascular disease among Chinese postmenopausal women: a 12-year cohort study

Q: What are the key findings of this study?

A high TyG-WC index was the strongest predictor of incident cardiovascular disease among Chinese postmenopausal women over a 12-year follow-up (HR 2.61).

WTWeiyan Tu RXRongdi Xu DWDan Wang

Key Result

A high TyG-WC index was the strongest predictor of incident cardiovascular disease among Chinese postmenopausal women over a 12-year follow-up (HR 2.61).

Study Design

Type

Cohort (n=1,110)

Multicenter

Yes

Structured PICO

Does the triglyceride-glucose index and its related factors predict cardiovascular disease in Chinese postmenopausal women?

Population

1,110 Chinese postmenopausal women without a history of cardiovascular disease, followed for 12 years to assess the predictive value of TyG indices for incident CVD.

Exposure

Triglyceride glucose index (TyG) and its correlated factors (TyG-BMI, TyG-WHtR, and TyG-WC)

Outcome

Cardiovascular disease (CVD)hard clinical

The TyG index and its obesity-related factors, particularly TyG-WHtR and TyG-WC, are strong predictors of cardiovascular disease in Chinese postmenopausal women.

Main Result

Hazard Ratio: 2.61 (95% CI 1.64–4.14)

p-value: p=<0.001

Limitations

Sample population was exclusively sourced from the Kailuan community cohort, which may restrict generalizability.
Absence of direct insulin measurements hindered a comparative analysis of the TyG indices and HOMA parameters.
Unmeasured variables, such as dietary patterns, physical activity levels, and psychosocial stressors, may still influence the association.
Observational design limits the ability to infer causation.

Abstract

BACKGROUND: This study investigated and compared the abilities of the triglyceride glucose index (TyG) and its correlated factors involving TyG-body mass index (TyG-BMI), TyG-waist-to-height ratio (TyG-WHtR), and TyG-waist circumference (TyG-WC) to predict cardiovascular disease (CVD) among Chinese postmenopausal women. This topic has not been adequately explored in the existing literature. METHODS: This prospective study included 1110 Chinese postmenopausal women, stratified into the CVD group and the non-CVD group. The TyG index and its correlated components (TyG, TyG-BMI, TyG-WHtR, and TyG-WC) were calculated. The primary endpoint was CVD. RESULTS: Across a 12-year follow-up period, 76 (6.84%) CVDs were documented. The TyG index, in collaboration with various indicators of obesity, demonstrated a robust positive correlation with the risk of CVD. In comparison to other TyG indices, TyG-WC was the strongest predictor for CVD (HR: 2.61, 95%CI:1.64-4.14; P < 0.001), and the TyG-WHtR index exhibited the strongest diagnostic value in identifying CVD (AUC: 0.632, 95%CI: 0.603-0.660; P < 0.001). Incorporating TyG-WHtR into the base model significantly enhanced incremental risk stratification for CVD (NRI: 0.115, 95%CI: 0.040-0.190, P < 0.05; AIC: 996; BIC: 1041; Harrell's C-index: 0.73). Decision curve analysis (DCA) suggested that TyG, TyG-WHtR, and TyG-WC can provide significant clinical benefits for Chinese postmenopausal women. The sensitivity analyses have demonstrated the robustness of these results. CONCLUSIONS: The TyG index and its correlated factors can effectively predict CVD in Chinese postmenopausal women. TyG-WHtR has the most potent ability to predict CVD among postmenopausal women.

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