Why the study?
Patients with CAD face residual cardiovascular risk after PCI, but the combined prognostic value of systemic metabolic-inflammatory dysregulation and coronary physiological burden remains unclear.
Does elevated μCTI predict major adverse cardiovascular and cerebrovascular events in patients with coronary artery disease undergoing PCI?
Cohort (n=1,468)
No
Does elevated μCTI predict major adverse cardiovascular and cerebrovascular events in patients with coronary artery disease undergoing PCI?
Hazard Ratio: 1.79 (95% CI 1.54–2.07)
p-value: p=<0.001
The novel μCTI index, integrating systemic metabolic-inflammatory load and coronary physiological burden, provides independent prognostic value for predicting MACCE in post-PCI patients.
Background: Patients with coronary artery disease (CAD) continue to face residual cardiovascular risk despite receiving guideline-directed optimal therapy. Both systemic metabolic-inflammatory dysregulation, reflected by the C-reactive protein-triglyceride glucose index (CTI), and coronary physiological burden, assessed by the quantitative flow ratio (QFR), are critical determinants of prognosis. However, the combined prognostic value of these two factors in patients after percutaneous coronary intervention (PCI) remains unclear. This study aimed to evaluate the prognostic value of an integrated index combining CTI with residual coronary physiological burden in patients undergoing PCI. Methods: This single-center registry study (ChiCTR2100042363) consecutively enrolled 1,468 patients with CAD who underwent PCI between March 2021 and February 2022. A novel integrated index, μCTI, was derived from the CTI and the sum of the residual QFR in the three major coronary vessels. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), ischemia-driven revascularization (IDR), or stroke. Results: < 0.001]. Furthermore, MACCE risk progressively increased across ascending μCTI quartiles (P for trend < 0.001). Restricted cubic spline (RCS) analysis revealed a linear relationship between μCTI and MACCE risk (P for nonlinear = 0.058). Conclusion: The composite μCTI acts as an independent predictive biomarker and delivers supplementary risk stratification information for patients after PCI. This combined index could serve as an auxiliary tool to identify individuals at elevated risk of MACCE beyond single metabolic-inflammatory or coronary physiological indicators.
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Lin et al. (2026) conducted a cohort in Coronary artery disease (CAD) undergoing PCI (n=1,468). μCTI (combined C-reactive protein-triglyceride glucose index and 3-vessel quantitative flow ratio) vs. Lower μCTI levels was evaluated on Major adverse cardiovascular and cerebrovascular events (MACCE) (HR 1.79, 95% CI 1.54-2.07, p=<0.001).
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