Coronary Plaque Erosion: Epidemiology, Diagnosis, and Treatment.
Panagiotis TheofilisPanayotis K VlachakisAggelos PapanikolaouPaschalis KarakasisEvaggelos OikonomouKonstantinos TsioufisDimitris TousoulisPublished in: International journal of molecular sciences (2024)
Plaque erosion (PE), a distinct etiology of acute coronary syndromes (ACSs), is often overshadowed by plaque ruptures (PRs). Concerning its epidemiology, PE has garnered increasing recognition, with recent studies revealing its prevalence to be approximately 40% among ACS patients, challenging earlier assumptions based on autopsy data. Notably, PE exhibits distinct epidemiological features, preferentially affecting younger demographics, particularly women, and often manifesting as a non-ST-segment elevation myocardial infarction. There are seasonal variations, with PE events being less common in winter, potentially linked to physiological changes and cholesterol solidification, while peaking in summer, warranting further investigation. Moving to molecular mechanisms, PE presents a unique profile characterized by a lesser degree of inflammation compared to PR, with endothelial shear stress emerging as a plausible molecular mechanism. Neutrophil activation, toll-like receptor-2 pathways, and hyaluronidase 2 expression are among the factors implicated in PE pathophysiology, underscoring its multifactorial nature. Advancements in intravascular imaging diagnostics, particularly optical coherence tomography and near-infrared spectroscopy coupled with intravascular ultrasound, offer unprecedented insights into plaque composition and morphology. Artificial intelligence algorithms show promise in enhancing diagnostic accuracy and streamlining image interpretation, augmenting clinician decision-making. Therapeutically, the management of PE evolves, with studies exploring less invasive approaches such as antithrombotic therapy without stenting, particularly in cases identified early through intravascular imaging. Additionally, the potential role of drug-coated balloons in reducing thrombus burden and minimizing future major adverse cardiovascular events warrants further investigation. Looking ahead, the integration of advanced imaging modalities, biomarkers, and artificial intelligence promises to revolutionize the diagnosis and treatment of coronary PE, ushering in a new era of personalized and precise cardiovascular care.
Keyphrases
- artificial intelligence
- coronary artery disease
- big data
- cardiovascular events
- machine learning
- deep learning
- toll like receptor
- coronary artery
- percutaneous coronary intervention
- st segment elevation myocardial infarction
- high resolution
- acute coronary syndrome
- risk factors
- decision making
- healthcare
- optical coherence tomography
- magnetic resonance imaging
- cardiovascular disease
- end stage renal disease
- ejection fraction
- adipose tissue
- oxidative stress
- quality improvement
- prognostic factors
- nuclear factor
- endothelial cells
- emergency department
- chronic kidney disease
- stem cells
- computed tomography
- atrial fibrillation
- type diabetes
- heavy metals
- electronic health record
- heat stress
- mesenchymal stem cells
- metabolic syndrome
- diabetic retinopathy
- risk assessment
- fluorescence imaging
- pain management
- aortic valve
- climate change
- mass spectrometry
- insulin resistance
- drug induced
- data analysis
- peritoneal dialysis
- health insurance
- low density lipoprotein
- skeletal muscle