Acute coronary syndrome is one of the most important differential diagnostic considerations in emergency medicine. It describes the constellation of newly occurring clinical symptoms, often accompanied by typical 12-lead ECG changes and the release of cardiac troponins. The spectrum includes unstable angina pectoris, non-ST-segment elevation myocardial infarction (NSTEMI), and ST-segment elevation myocardial infarction (STEMI). It is important to consistently carry out the diagnostic steps that are crucial for further therapeutic procedures to avoid delaying life-saving invasive coronary diagnostics, without losing sight of the diverse, sometimes time-critical differential diagnoses. Anamnesis and clinical examination form the basis of the further procedure. Further developments of biomarker assays with personalized limit values, new imaging modalities with ever higher resolution and faster imaging methods as well as advances in automated ECG analysis with integration of all findings through artificial intelligence will continue to offer many optimization options in the future diagnosis of acute coronary syndrome.
Keyphrases
- percutaneous coronary intervention
- acute coronary syndrome
- st segment elevation myocardial infarction
- artificial intelligence
- antiplatelet therapy
- st elevation myocardial infarction
- coronary artery disease
- machine learning
- high resolution
- emergency medicine
- deep learning
- big data
- coronary artery
- heart rate
- high throughput
- heart rate variability
- left ventricular
- atrial fibrillation
- aortic valve
- physical activity
- single molecule