The relationship between C-reactive protein-triglyceride-glucose index and cardiovascular disease: insights from the China health and retirement longitudinal study (CHARLS)

Cardiovasc DiabetolPublished Prospective cohort study

Authors' conclusion

The CTI, as a composite biomarker reflecting integrated metabolic and inflammatory status, demonstrated a significant positive association with CVD risk. Furthermore, this association exhibited variations across age groups and marital status, indicating the potential utility of CTI as a novel and clinically relevant biomarker for CVD risk stratification.

Study context

Population
Middle-aged and older participants, China Health and Retirement Longitudinal Study (CHARLS)CHARLS cohort
Participants
8,084 participants
Exposure
Higher vs lower C-reactive protein-triglyceride-glucose index
Outcome
Incident CVD
Methodological detailspopulation-based, longitudinal
  • Population-based
  • Longitudinal

Main finding

As reported in the abstract

Hazard ratio (95% CI)
CTI per one-unit increaseadjusted; 44% higher risk
1.44(1.17–1.78)

Per one-unit increase, as printed

Q2 vs Q1
HR 1.23; P for trend < 0.001
Q3 vs Q1
HR 1.29; P for trend < 0.001
Q4 vs Q1
HR 1.40; P for trend < 0.001
Participants who developed cardiovascular disease (CVD) during follow-up
2,133 (26.39%)

Observational data: associations, not effects.

Further findings

Subgroups

Stronger associations among participants aged 45-60 years and those who were married

Dose-response (restricted cubic splines (RCS))

Overall linear relationship between CTI and CVD risk

Predictive performance

CTI improved reclassification (net reclassification improvement (NRI)/integrated discrimination improvement (IDI)) and discrimination (AUC)

Sensitivity analyses

Corroborated the primary findings

Original publication

The relationship between C-reactive protein-triglyceride-glucose index and cardiovascular disease: insights from the China health and retirement longitudinal study (CHARLS). Cardiovasc Diabetol. Published 28 October 2025. doi:10.1186/s12933-025-02960-w

Composed by AI from the published abstract and checked against it. How Briefs are made →

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