This article demonstrates enhanced diagnostic algorithms for myocardial infarction in chest pain patients, suggesting improved clinical reasoning for identifying ischemia.
Chest pain remains one of the most common reasons for emergency department visits and cardiology consultations worldwide. While structured diagnostic algorithms , such as the ESC-endorsed 0h/1h approach, have greatly improved the triage of suspected myocardial infarction (MI), they are designed to be applied only after the clinician has determined that the presenting symptoms may be cardiac in origin. This article focuses on that crucial pre-algorithmic step: helping clinicians recognize which symptom presentations truly warrant consideration for myocardial ischemia. By clarifying how clinical features such as symptom duration, ECG changes, and troponin kinetics relate to pathophysiology, we aim to support the early identification of ischemic chest pain, before structured pathways are applied. Rather than offering an alternative to current algorithms, this work seeks to enhance their precision and applicability by reinforcing the clinical reasoning required to use them appropriately.
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Maria Giulia Bellicini (2026) studied this question.
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