Journal of clinical lipidology · 2026
C-reactive protein-triglyceride-glucose index is an independent predictor of cardiovascular mortality in patients with metabolic syndrome.
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Ghay Sahil, Elajami Mohamad K, Kaur Baneet, Abushamat Layla A, Urina-Jassir Daniela, Bahmad Hisham F, Welty Francine K, Mihos Christos G, Elajami Tarec K
Аннотация
BACKGROUND: Metabolic syndrome (MetS) is characterized by an interplay of risk factors mediated by chronic inflammation and is strongly linked to increased cardiovascular (CV) mortality. C-reactive protein-triglyceride-glucose index (CTI) has emerged as a marker for both insulin resistance and systemic inflammation, both established CV risk factors. This study examines whether CTI predicts CV mortality among adults with MetS.
METHODS: The National Health and Nutrition Examination Survey database was queried from 1999 to 2010, and data on mortality follow-up through December 31, 2019, were analyzed. Patients with MetS were identified by stratifying individuals aged ≥20 years who met ≥3 of the 5 MetS criteria. CTI was derived using the formula 0.412 × ln(C-reactive protein [mg/L]) + ln(Triglycerides [mg/dL] × Fasting Glucose [mg/dL]/2). Cox proportional hazards models were used to assess the association between CTI and CV mortality. Restricted cubic splines assessed for nonlinearity in this association.
RESULTS: A total of 10,421 patients with MetS were identified. In a fully adjusted survey-weighted model, each 1-unit increase in CTI was associated with a 32% higher risk of CV mortality (hazard ratio [HR] = 1.32; 95% CI: 1.07-1.62; P = .010). Quartile-based analysis revealed no significant association for Quartiles 2 and 3 compared with Quartile 1. However, Quartile 4 had significantly higher CV mortality (HR = 1.60; 95% CI: 1.13-2.25; P = .007). Spline analysis supported a linear relationship.
CONCLUSION: Higher CTI, particularly values in the highest quartile, was independently associated with increased CV mortality in adults with MetS. These findings suggest that CTI may help identify high-risk individuals for early prevention.
METHODS: The National Health and Nutrition Examination Survey database was queried from 1999 to 2010, and data on mortality follow-up through December 31, 2019, were analyzed. Patients with MetS were identified by stratifying individuals aged ≥20 years who met ≥3 of the 5 MetS criteria. CTI was derived using the formula 0.412 × ln(C-reactive protein [mg/L]) + ln(Triglycerides [mg/dL] × Fasting Glucose [mg/dL]/2). Cox proportional hazards models were used to assess the association between CTI and CV mortality. Restricted cubic splines assessed for nonlinearity in this association.
RESULTS: A total of 10,421 patients with MetS were identified. In a fully adjusted survey-weighted model, each 1-unit increase in CTI was associated with a 32% higher risk of CV mortality (hazard ratio [HR] = 1.32; 95% CI: 1.07-1.62; P = .010). Quartile-based analysis revealed no significant association for Quartiles 2 and 3 compared with Quartile 1. However, Quartile 4 had significantly higher CV mortality (HR = 1.60; 95% CI: 1.13-2.25; P = .007). Spline analysis supported a linear relationship.
CONCLUSION: Higher CTI, particularly values in the highest quartile, was independently associated with increased CV mortality in adults with MetS. These findings suggest that CTI may help identify high-risk individuals for early prevention.