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Background <p>Chronic obstructive pulmonary disease (COPD) is a leading cause of death and is closely linked to cardiovascular disease (CVD) and metabolic disorders. The triglyceride-glucose (TyG) index and related indices are potential markers for all-cause and CVD mortality. This study aimed to evaluate their predictive value in patients with COPD.</p> Methods <p>Data from the UK Biobank, a large-scale biomedical database including genetic, environmental, lifestyle, and disease outcome information, were used for this analysis. Four indicators were constructed, including TyG, TyG combined with BMI (TyG-BMI), waist circumference (TyG-WC), and waist-to-height ratio (TyG-WHtR). Both the continuous values and tertile categories of these indicators were analyzed. Kaplan-Meier curves, restricted cubic splines, and Cox proportional hazards models were used to examine their associations with all-cause and CVD mortality among patients with COPD.</p> Results <p>A total of 40,414 COPD patients (mean age, 58 years) were included. Over a median follow-up period of 13 years, 35,558 participants were alive, while 4,856 died, including 524 from CVD. Compared with the lowest tertile, the highest tertile of TyG, TyG-WC and TyG-WHtR were significantly associated with an increased risk of all-cause mortality, with fully adjusted HRs of 1.149 (95% CI: 1.048–1.259), 1.143 (95% CI: 1.045–1.252) and 1.313 (95% CI: 1.205–1.430), respectively. In contrast, TyG-BMI showed no significant association with all-cause mortality (HR: 0.979, 95% CI: 0.903–1.061). Additionally, TyG-WHtR was significantly associated with a higher risk of CVD mortality (HR: 1.539, 95% CI: 1.178–2.011). Nonlinear relationships were observed between TyG-WC and TyG-WHtR with all-cause mortality, while a linear association was noted with CVD mortality. A U-shaped relationship was found between TyG-BMI and both all-cause and CVD mortality. TyG-related indices performed well in predicting all-cause and CVD mortality, especially TyG-WHtR. Sensitivity analyses excluding early deaths, missing covariates, or stratified by age, sex, and smoking confirmed the main findings.</p> Conclusion <p>TyG-related indices showed significant associations with all-cause and CVD mortality among patients with COPD, highlighting their potential in predicting long-term COPD prognosis, with TyG-WHtR demonstrating the strongest and most consistent predictive value.</p>

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Association of triglyceride-glucose related indices with all-cause and cardiovascular mortality in patients with chronic obstructive pulmonary disease: a large prospective cohort study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月27日

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  • Jin Yang,
  • Xiaolin Wang,
  • Jian Gao,
  • Wenfang Zhong,
  • Peiliang Chen,
  • Qingmei Huang,
  • Yixin Zhang,
  • Dan Liu,
  • Zhihao Li,
  • Chen Mao

摘要

Background

Chronic obstructive pulmonary disease (COPD) is a leading cause of death and is closely linked to cardiovascular disease (CVD) and metabolic disorders. The triglyceride-glucose (TyG) index and related indices are potential markers for all-cause and CVD mortality. This study aimed to evaluate their predictive value in patients with COPD.

Methods

Data from the UK Biobank, a large-scale biomedical database including genetic, environmental, lifestyle, and disease outcome information, were used for this analysis. Four indicators were constructed, including TyG, TyG combined with BMI (TyG-BMI), waist circumference (TyG-WC), and waist-to-height ratio (TyG-WHtR). Both the continuous values and tertile categories of these indicators were analyzed. Kaplan-Meier curves, restricted cubic splines, and Cox proportional hazards models were used to examine their associations with all-cause and CVD mortality among patients with COPD.

Results

A total of 40,414 COPD patients (mean age, 58 years) were included. Over a median follow-up period of 13 years, 35,558 participants were alive, while 4,856 died, including 524 from CVD. Compared with the lowest tertile, the highest tertile of TyG, TyG-WC and TyG-WHtR were significantly associated with an increased risk of all-cause mortality, with fully adjusted HRs of 1.149 (95% CI: 1.048–1.259), 1.143 (95% CI: 1.045–1.252) and 1.313 (95% CI: 1.205–1.430), respectively. In contrast, TyG-BMI showed no significant association with all-cause mortality (HR: 0.979, 95% CI: 0.903–1.061). Additionally, TyG-WHtR was significantly associated with a higher risk of CVD mortality (HR: 1.539, 95% CI: 1.178–2.011). Nonlinear relationships were observed between TyG-WC and TyG-WHtR with all-cause mortality, while a linear association was noted with CVD mortality. A U-shaped relationship was found between TyG-BMI and both all-cause and CVD mortality. TyG-related indices performed well in predicting all-cause and CVD mortality, especially TyG-WHtR. Sensitivity analyses excluding early deaths, missing covariates, or stratified by age, sex, and smoking confirmed the main findings.

Conclusion

TyG-related indices showed significant associations with all-cause and CVD mortality among patients with COPD, highlighting their potential in predicting long-term COPD prognosis, with TyG-WHtR demonstrating the strongest and most consistent predictive value.