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.
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.
Abstract:
Despite advances in research and patient management, atherosclerosis and its dreaded acute and chronic sequelae continue to account for one out of three deaths globally. The vast majority of acute coronary syndromes (ACS) arise from either plaque rupture or erosion, but other mechanisms, including calcific nodules, embolism, spontaneous coronary artery dissection, coronary spasm, and microvascular dysfunction, can also cause ACS. This ACS heterogeneity necessitates a paradigm shift in its management that extends beyond the binary interpretation of electrocardiographic and biomarker data. Indeed, given the evolution in the global risk factor profile, the increasing importance of previously underappreciated mechanisms, the evolving appreciation of sex-specific disease characteristics, and the advent of rapidly evolving technologies, a precision medicine approach is warranted. This review provides an update of the mechanisms of ACS, delineates the role of previously underappreciated contributors, discusses sex-specific differences, and explores novel tools for contemporary and personalized management of patients with ACS. Beyond mechanistic insights, it examines evolving imaging techniques, biomarkers, and regression- and machine learning-based approaches for the diagnosis (e.g. CoDE-ACS, MI3) and prognosis (e.g. PRAISE, GRACE, SEX-SHOCK scores) of ACS, along with their implications for future ACS management. A more individualized approach to patients with ACS is advocated, emphasizing the need for innovative studies on emerging technologies, including artificial intelligence, which may collectively facilitate clinical decision-making within a more mechanistic framework, thereby personalizing patient care and potentially improving long-term outcomes.
Related Concept Videos
Ischemic Heart Disease: Overview
Atherosclerosis, the primary malefactor, orchestrates this dangerous condition. It manifests as the accumulation of fatty deposits, akin to insidious plaques, within arterial walls. As time elapses, these plaques metamorphose, hardening and...
Antianginal Drugs: Calcium Channel Blockers and Ranolazine
CCBs, a diverse class that includes dihydropyridines (nifedipine) and diphenylalkylamines (verapamil and diltiazem), exert their effect by blocking calcium channels in cardiac and smooth muscle cells. This...
Antianginal Drugs: Nitrates and β-Blockers
Organic nitrates, such as nitroglycerin, play a pivotal role. Once metabolized, they liberate nitric oxide, a molecular marvel. Nitric oxide triggers guanylyl cyclase and augments cGMP production. This biochemical cascade orchestrates the relaxation of vascular smooth muscles, ushering in vasodilation and enhancing coronary blood flow....
Antiplatelet Drugs: Prostaglandin Synthesis, P2Y12 and Glycoprotein IIb/IIIa Inhibitors
Prostaglandin synthesis inhibitors, exemplified by the widely known aspirin, wield their power by irreversibly acetylating...
Cardiovascular Drugs: Classification based on Therapeutic Indications


