Prognostic value of a novel indicator integrating C-reactive protein-triglyceride glucose index and coronary

Xinjun Lin1,2,3,4,5, Yuanming Yan1,2,3,4,5, Hui Chen1,2,3,4,5

  • 1Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.

Frontiers in Nutrition
|August 15, 2026
PubMed

Insights

A new integrated index, the C-reactive protein-triglyceride glucose index (CTI) combined with quantitative flow ratio (QFR), effectively predicts major adverse cardiovascular events after percutaneous coronary intervention (PCI). This combined index, called μCTI, offers improved risk stratification for patients with coronary artery disease.

Area of Science:

  • Cardiology
  • Biomarkers
  • Interventional Cardiology

Background:

  • Patients with coronary artery disease (CAD) often experience residual cardiovascular risk despite optimal therapy.
  • Systemic inflammation (C-reactive protein-triglyceride glucose index, CTI) and coronary physiological burden (quantitative flow ratio, QFR) are key prognostic factors.
  • The combined prognostic value of CTI and QFR after percutaneous coronary intervention (PCI) is not well understood.

Purpose of the Study:

  • To evaluate the prognostic value of an integrated index combining CTI and residual coronary physiological burden in patients undergoing PCI.
  • To assess the predictive capability of the novel μCTI index for major adverse cardiovascular and cerebrovascular events (MACCE).

Main Methods:

  • A single-center registry study enrolled 1,468 patients with CAD undergoing PCI.
  • A novel integrated index, μCTI, was derived from CTI and the sum of residual QFR in three major coronary vessels.
  • The primary endpoint was MACCE (all-cause death, myocardial infarction, revascularization, or stroke) over a median 24-month follow-up.

Main Results:

  • A total of 185 MACCE events (12.6%) were recorded.
  • Each standard deviation increase in μCTI was independently associated with a 79% rise in MACCE risk (aHR=1.79, p<0.001).
  • MACCE risk increased progressively across increasing μCTI quartiles, with a linear relationship observed between μCTI and MACCE risk.

Conclusions:

  • The composite μCTI index serves as an independent predictive biomarker for patients post-PCI.
  • μCTI provides supplementary risk stratification information, identifying individuals at elevated risk beyond single indicators.
  • This combined index can be an auxiliary tool for risk assessment in patients undergoing PCI.
Abstract

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