The association between C-reactive protein-triglyceride glucose index and all-cause mortality in patients with cardiovascular-kidney-metabolic syndrome: a single-center retrospective cohort study - Summary - MDSpire

The association between C-reactive protein-triglyceride glucose index and all-cause mortality in patients with cardiovascular-kidney-metabolic syndrome: a single-center retrospective cohort study

  • By

  • Jiacai Lin

  • Shaobin Qiu

  • Shuling Su

  • Weixin Ni

  • Yongluan Lin

  • Xiaobin Ni

  • July 8, 2026

  • 0 min

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Objective:

To investigate the association between the C-reactive protein-triglyceride glucose index (CTI) and all-cause mortality in patients with cardiovascular-kidney-metabolic (CKM) syndrome, focusing on its predictive value across CKM stages.

Approach:
  • Study Design: A retrospective cohort study analyzing data from 8,632 CKM patients enrolled between 2020 and 2025, stratified by CTI quartiles.
  • Mortality Assessment: All-cause mortality was assessed using adjusted Cox models.
  • CTI Calculation: CTI was calculated as the product of CRP and the TyG index, incorporating natural logarithmic transformations.
Key Findings:
  • CTI was an independent predictor of mortality in both CKM stages 0–3 (HR 1.68, 95% CI 1.30–2.18) and stage 4 (HR 1.54, 95% CI 1.33–1.77).
  • Patients in the highest CTI quartile (Q4) had a significantly higher risk of mortality compared to those in the lowest quartile (Q1) (stage 0–3: HR 4.57, 95% CI 2.32–8.99; stage 4: HR 2.26, 95% CI 1.64–3.13).
  • A linear dose-response relationship was confirmed between CTI and mortality risk (P for nonlinear >0.05).
  • CTI demonstrated superior predictive performance over the TyG index for 1-year mortality (AUC: stage 0–3, 0.73 vs. 0.62; stage 4, 0.69 vs. 0.51).
Interpretation:

CTI integrates inflammation and insulin resistance, providing a comprehensive assessment of the pathological burden in CKM patients.

Limitations:
  • The study was conducted at a single center, which may limit generalizability.
  • Retrospective design may introduce biases in data collection and analysis.
Conclusion:

CTI is a potent, independent predictor of all-cause mortality in CKM, with a linear dose-response relationship.

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