Myocardial infarction with normal coronary arteries: a conundrum with multiple aetiologies and variable prognosis: an

I Kardasz1, R De Caterina

  • 1Institute of Cardiology and Center of Excellence on Aging, G. d'Annunzio University - Chieti, Chieti, and CNR Institute of Clinical Physiology, Pisa, Italy.

Insights

Myocardial infarction with normal coronary arteries (MINCAs) has diverse causes including vasospasm, inflammation, and endothelial dysfunction. Prognosis varies based on the underlying mechanism, necessitating further research into MINCAs.

Area of Science:

  • Cardiology
  • Pathophysiology

Background:

  • Myocardial infarction (MI) in patients with angiographically normal coronary arteries (ANCA) has been recognized for over 30 years.
  • The etiology and pathogenesis of ANCA-MI remain subjects of ongoing debate and research.

Purpose of the Study:

  • To review current knowledge on the mechanisms underlying myocardial infarction with normal coronary arteries.
  • To examine recent advancements in understanding the pathophysiology and prognosis of ANCA-MI.

Main Methods:

  • Literature review of existing studies and case series on myocardial infarction with normal coronary arteries.
  • Synthesis of evidence regarding potential pathogenetic mechanisms, including vasospasm, thrombosis, embolization, inflammation, endothelial dysfunction, and myocarditis.

Main Results:

  • Multiple pathogenetic mechanisms contribute to ANCA-MI, including coronary vasospasm, thrombosis, embolization, inflammation, endothelial dysfunction, and myocarditis.
  • Endothelial dysfunction, potentially with non-angiographically evident atherosclerosis, may be a common predisposing factor.
  • Prognosis for ANCA-MI is generally favorable but likely varies depending on the specific underlying mechanism.

Conclusions:

  • Myocardial infarction with normal coronary arteries is a complex condition resulting from diverse and potentially combined pathogenetic pathways.
  • Understanding the specific mechanism is crucial for predicting patient outcomes, as prognosis is not uniform.
  • Further research is needed to elucidate the precise roles of each mechanism and optimize patient management.

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