Abstract 4370722: The Association between C-Reactive Protein-Triglyceride-Glucose Index and Cardiovascular Mortality in Patients with Metabolic Syndrome

Introduction: Metabolic syndrome is characterized by an interplay of risk factors mediated by a chronic state of inflammation and is strongly linked to increased cardiovascular (CV) mortality. C-Reactive Protein-Triglyceride-Glucose Index (CTI) has recently emerged as a marker for both insulin resistance and systemic inflammation, both of which are established contributors to cardiovascular disease. Research Question: Does CTI predict CV mortality in patients with metabolic syndrome? Methods: The NHANES database was used from 1999 to 2010, and data on mortality follow-up through December 31st, 2019 was analyzed. Patients with metabolic syndrome were identified by stratifying individuals aged ≥20 years meeting ≥3 of the 5 metabolic syndrome criteria. CTI was derived using the formula 0.412 × ln(CRP [mg/L]) + ln(Triglycerides [mg/dL] × Fasting Glucose [mg/dL])/2. The incidence of coronary heart disease (CHD) and CV mortality were assessed. CTI was tested as a continuous variable and by quartiles. A Kaplan-Meier survival analysis and multivariate Cox proportional hazards models were performed to assess the relationship between CTI and CV mortality. Results: A total of 10,421 patients with metabolic syndrome were identified. The mean age of the population was 57.0±17.2 years, of which 51.9% were female. The incidence of CHD was 13.0%. Kaplan-Meier survival analysis showed a significant difference in CV mortality across the 4 CTI quartiles (p<0.001) (Table 1). Notably, when CTI was modeled as a continuous variable, each one-unit increase in CTI was associated with a 34% higher CV mortality (HR = 1.34, 95% CI: 1.15–1.57, p<0.001). Cox regression analysis of CTI by quartiles showed a nonsignificant increase in CV mortality in quartile 2 (HR = 1.02, 95% CI: 0.83–1.25, p=0.88) and quartile 3 (HR = 1.11, 95% CI: 0.87–1.40, p=0.40) compared with the lowest quartile 1 (Figure 1). However, patients in quartile 4 had significantly higher CV mortality, with a hazard ratio of 1.72 (95% CI: 1.30–2.28, p<0.001). Conclusion: CTI is a positive predictor of cardiovascular mortality in patients with metabolic syndrome. Our findings suggest that metabolic syndrome patients with higher insulin resistance and systemic inflammation have higher CV mortality. The current study underscores the need for further research into the clinical applicability of CTI as a strong quantitative measure of cardiovascular risk assessment.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4370722
Primary Topic
Cardiovascular Health and Risk Factors
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article

Abstract 4370722: The Association between C-Reactive Protein-Triglyceride-Glucose Index and Cardiovascular Mortality in Patients with Metabolic Syndrome

Tarec K. Elajami, Francine K. Welty, Mark Joseph Larralde, Daniela Urina‐Jassir et al.
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4370722: The Association between C-Reactive Protein-Triglyceride-Glucose Index and Cardiovascular Mortality in Patients with Metabolic Syndrome

Tarec K. Elajami, Francine K. Welty, Mark Joseph Larralde, Daniela Urina‐Jassir, Mohamad Elajami, Layla A. Abushamat, Christos G. Mihos, Sahil Ghay
article en

Abstract

Introduction: Metabolic syndrome is characterized by an interplay of risk factors mediated by a chronic state of inflammation and is strongly linked to increased cardiovascular (CV) mortality. C-Reactive Protein-Triglyceride-Glucose Index (CTI) has recently emerged as a marker for both insulin resistance and systemic inflammation, both of which are established contributors to cardiovascular disease. Research Question: Does CTI predict CV mortality in patients with metabolic syndrome? Methods: The NHANES database was used from 1999 to 2010, and data on mortality follow-up through December 31st, 2019 was analyzed. Patients with metabolic syndrome were identified by stratifying individuals aged ≥20 years meeting ≥3 of the 5 metabolic syndrome criteria. CTI was derived using the formula 0.412 × ln(CRP [mg/L]) + ln(Triglycerides [mg/dL] × Fasting Glucose [mg/dL])/2. The incidence of coronary heart disease (CHD) and CV mortality were assessed. CTI was tested as a continuous variable and by quartiles. A Kaplan-Meier survival analysis and multivariate Cox proportional hazards models were performed to assess the relationship between CTI and CV mortality. Results: A total of 10,421 patients with metabolic syndrome were identified. The mean age of the population was 57.0±17.2 years, of which 51.9% were female. The incidence of CHD was 13.0%. Kaplan-Meier survival analysis showed a significant difference in CV mortality across the 4 CTI quartiles (p<0.001) (Table 1). Notably, when CTI was modeled as a continuous variable, each one-unit increase in CTI was associated with a 34% higher CV mortality (HR = 1.34, 95% CI: 1.15–1.57, p<0.001). Cox regression analysis of CTI by quartiles showed a nonsignificant increase in CV mortality in quartile 2 (HR = 1.02, 95% CI: 0.83–1.25, p=0.88) and quartile 3 (HR = 1.11, 95% CI: 0.87–1.40, p=0.40) compared with the lowest quartile 1 (Figure 1). However, patients in quartile 4 had significantly higher CV mortality, with a hazard ratio of 1.72 (95% CI: 1.30–2.28, p<0.001). Conclusion: CTI is a positive predictor of cardiovascular mortality in patients with metabolic syndrome. Our findings suggest that metabolic syndrome patients with higher insulin resistance and systemic inflammation have higher CV mortality. The current study underscores the need for further research into the clinical applicability of CTI as a strong quantitative measure of cardiovascular risk assessment.

CirculationVol. 152(Suppl_3)
Hartford Hospital (US), Harvard University (US), Baylor College of Medicine (US), Mount Sinai Medical Center (US), Miami Heart Research Institute (US)
Openalex Percentile: Top 52%
Cardiovascular Health and Risk Factors
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