Implications of a new clinical classification of acute myocardial infarction

European Heart Journal - Acute CardioVascular Care

18 January 2025
Organised by: Logo
ESC Journals CORONARY ARTERY DISEASE, ACUTE CORONARY SYNDROMES, ACUTE CARDIAC CARE Acute Cardiac Care Acute Coronary Syndromes

Abstract

AbstractAims

The diagnostic criteria for Type 2 myocardial infarction identify a heterogeneous group of patients with variable outcomes and no clear treatment implications. We aimed to determine the implications of a new clinical classification for myocardial infarction with more objective diagnostic criteria using cardiac imaging.

Methods and results

In a prospective cohort study, patients with Type 2 myocardial infarction underwent coronary angiography and cardiac magnetic resonance imaging or echocardiography. The new classification was applied to identify (i) spontaneous myocardial infarction due to acute coronary pathology, (ii) secondary myocardial infarction precipitated by acute illness in the presence of obstructive coronary artery disease, a new regional wall motion abnormality, or infarct-pattern scarring, and (iii) no myocardial infarction in the absence of obstructive disease or new myocardial abnormality. In 100 patients (65 years, 43% women) with Type 2 myocardial infarction, the new classification identified 25 and 31 patients with spontaneous and secondary myocardial infarction, respectively, and 44 without myocardial infarction. Compared with patients without myocardial infarction, those with secondary myocardial infarction were older, had more risk factors, and had higher troponin concentrations (P < 0.05 for all). During a median follow-up of 4.4 years, death, myocardial infarction, or heart failure hospitalization was more common in secondary myocardial infarction compared with those without myocardial infarction [55% (17/31) vs. 16% (7/44), P < 0.001].

Conclusion

A new clinical classification of myocardial infarction informed by cardiac imaging would reduce the diagnosis of myocardial infarction in acute illness and identify those patients at highest risk who are most likely to benefit from treatment.

Clinical trial registration

https://clinicaltrials.gov/ct2/show/NCT03338504.

Contributors

Jasper Boeddinghaus
Jasper Boeddinghaus

Author

University Hospital Basel Basel , Switzerland

Andrew R Chapman
Andrew R Chapman

Author

Royal Infirmary of Edinburgh Edinburgh , United Kingdom of Great Britain & Northern Ireland

Nicholas L Mills
Nicholas L Mills

Author

University of Edinburgh Edinburgh , United Kingdom of Great Britain & Northern Ireland