Acute coronary syndromes: mechanisms, challenges, and new opportunities

Simon Kraler1,2, Christian Mueller3,4, Peter Libby5

  • 1Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland.

PubMed

Insights

Acute coronary syndromes (ACS) have diverse causes beyond plaque rupture. Personalized medicine, incorporating novel technologies like AI, is crucial for improved diagnosis and patient outcomes in ACS management.

Area of Science:

  • Cardiovascular Medicine
  • Precision Medicine
  • Medical Technology

Background:

  • Atherosclerosis remains a leading global cause of death, with acute coronary syndromes (ACS) as a major sequela.
  • Traditional ACS mechanisms (plaque rupture/erosion) are insufficient; diverse etiologies like calcific nodules and microvascular dysfunction contribute.
  • Existing ACS management often relies on limited diagnostic data, necessitating a more comprehensive approach.

Purpose of the Study:

  • To provide an updated review of ACS mechanisms, including underappreciated contributors and sex-specific differences.
  • To explore novel diagnostic and prognostic tools for personalized ACS management.
  • To advocate for a precision medicine approach integrating advanced technologies for improved patient care.

Main Methods:

  • Review of current literature on ACS mechanisms and management strategies.
  • Analysis of evolving imaging techniques, biomarkers, and risk prediction scores (e.g., CoDE-ACS, MI3, PRAISE, GRACE, SEX-SHOCK).
  • Exploration of machine learning and artificial intelligence applications in ACS diagnosis and prognosis.

Main Results:

  • ACS exhibits significant heterogeneity, with multiple mechanisms contributing to its occurrence.
  • Sex-specific differences in ACS characteristics are increasingly recognized.
  • Emerging technologies, including AI, offer potential for enhanced diagnosis and personalized risk stratification.

Conclusions:

  • A paradigm shift towards precision medicine is essential for managing ACS heterogeneity.
  • Individualized patient care, informed by mechanistic insights and advanced technologies, is key to improving long-term outcomes.
  • Further research into innovative technologies like AI is needed to optimize clinical decision-making in ACS.

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