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Updated: Jan 11, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
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Progress in Prognostic Metabolic Biomarkers for Coronary Artery Disease Patients Post-Percutaneous Coronary

Zi-Teng Zhang1, Jun-Hui Li1, Guo-Qing Qi1

  • 1Heart Center, The First Hospital of Hebei Medical University, 050031 Shijiazhuang, Hebei, China.

Reviews in Cardiovascular Medicine
|November 10, 2025
PubMed

Insights

Identifying key metabolic indicators can help predict major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) for coronary artery disease (CAD). These simple markers offer crucial insights for improving patient outcomes and guiding clinical decisions.

Area of Science:

  • Cardiology
  • Metabolic Medicine
  • Biomarker Discovery

Background:

  • Percutaneous coronary intervention (PCI) is a primary treatment for coronary artery disease (CAD), yet major adverse cardiovascular events (MACE) remain a significant concern post-procedure.
  • Early identification of high-risk patients and proactive risk factor management are vital for improving prognosis after PCI.

Purpose of the Study:

  • To review and synthesize easily obtainable metabolic indicators for predicting prognosis in CAD patients following PCI.
  • To integrate diverse metabolic markers for precise prognostication and enhanced clinical decision-making.

Main Methods:

  • Literature review focusing on recent studies identifying metabolic biomarkers for CAD patient prognosis after PCI.
  • Categorization of predictive indicators into four groups: blood lipids, blood glucose, nutrition-related, and kidney-related metabolites.

Main Results:

  • Simple, accessible metabolic indicators demonstrate early predictive value for CAD patient prognosis post-PCI.
  • Four key categories of metabolic indicators show promise: lipids, glucose, nutrition, and kidney function markers.

Conclusions:

  • Metabolic indicators offer a valuable, practical approach to prognostication in CAD patients after PCI.
  • Further integration of these markers can deepen mechanistic understanding and support evidence-based clinical strategies for MACE risk reduction.

Keywords:
coronary artery disease (CAD)early predictionmetabolic indicatorspost-PCIprognosis

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