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Prospective evaluation of a new clinical classification of myocardial infarction

In plain English

AI plain-English summary

Doctors often disagree on whether a patient has had a heart attack, and the current classification system does little to resolve that uncertainty. This study tests a new way of classifying myocardial infarction that aligns with how doctors actually diagnose it—based on the underlying cause of the blocked artery, not just on blood test results or ECG changes. The problem is real: the existing "universal definition" is applied inconsistently, leading to confusion in treatment decisions and muddying clinical trial data. The researchers will enroll consecutive patients undergoing coronary angiography for possible heart attack, and have multiple clinicians independently classify each case using both the old and new systems. They will measure how often clinicians agree, and whether adding advanced imaging—such as intravascular ultrasound or optical coherence tomography—improves consistency. They will also track cardiovascular outcomes over time to see whether the new classification better predicts who will have another event. If the new system proves more reliable, it could become the standard for both clinical practice and research. That would mean clearer diagnoses, more consistent treatment decisions, and cleaner data for future trials—improving a diagnostic process that currently leaves too much room for interpretation.

View original technical description
For the adoption of a classification of myocardial infarction to improve care, it should be aligned with the diagnostic pathway and based on the underlying pathophysiology with objective diagnostic criteria that enable consistent application in practice and research. We propose such an approach and aim to determine whether this new clinical classification can be applied more consistently than the universal definition of myocardial infarction and provides greater insight into patient outcomes. In a prospective, multi-centre, longitudinal cohort study with diagnostic adjudication, we will enroll consecutive patients with possible myocardial infarction undergoing coronary angiography with and without adjuvant intravascular and cardiac imaging. We will evaluate inter-rater agreement between clinicians and determine whether agreement is improved using the new classification and is influenced by the use of adjuvant imaging. We will compare cardiovascular outcomes in patients with myocardial infarction stratified by both classifications. Finally, in those where the diagnosis remains uncertain following coronary angiography, we will determine the frequency and mechanisms of an elevated cardiac troponin due to analytical interference. Our findings will determine whether a new clinical classification of myocardial infarction could be consistently applied in practice and will provide insights into the role of further testing to inform future guidelines.

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Researchers

Nicholas Mills (EPMC Awardee)

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Original classification

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