Current Toolset in Predicting Acute Coronary Thrombotic Events: The "Vulnerable Plaque" in a "Vulnerable Patient"

Maria Emfietzoglou1, Michail C Mavrogiannis2, Hector M García-García3

  • 1Department of Medicine, University of Ioannina, 45 110 Ioannina, Greece.

Insights

Coronary artery disease (CAD) detection needs more than just imaging. Integrating "vulnerable plaque" identification with the "vulnerable patient" concept offers a comprehensive approach to predicting acute coronary events.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomarkers

Background:

  • Coronary artery disease (CAD) is a leading cause of death globally, despite treatment advances.
  • Current invasive imaging and hemodynamic analyses offer insights into plaque vulnerability but lack high predictive value.
  • The concept of a "vulnerable patient" is crucial for precipitating acute coronary events, alongside "vulnerable plaques".

Purpose of the Study:

  • To review and critically appraise invasive and non-invasive imaging modalities for detecting high-risk plaques in CAD patients.
  • To discuss challenges in the "vulnerable plaque" concept.
  • To highlight the need for an interdisciplinary approach combining "vulnerable plaque" and "vulnerable patient" assessments.

Main Methods:

  • Review of invasive coronary imaging techniques (e.g., hemodynamic force computation).
  • Evaluation of non-invasive imaging advancements for plaque identification and population screening.
  • Integration of risk stratification scores, biomarkers, immunology, and genetics.

Main Results:

  • Invasive methods provide detailed plaque analysis but have limited predictive power alone.
  • Non-invasive techniques are emerging for early detection and screening in asymptomatic individuals.
  • A broader "vulnerable plaque and patient" strategy is essential for improved risk stratification.

Conclusions:

  • A shift towards an interdisciplinary approach is necessary for effective CAD management.
  • Combining "vulnerable plaque" detection with "vulnerable patient" assessment improves risk prediction.
  • Future strategies should integrate diverse modalities for comprehensive patient evaluation.

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