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Identification of Optimal Electrocardiographic Criteria for the Diagnosis of Unrecognized Myocardial Infarction: A Population‐Based Study

Background: Despite using the same tool (ECG), the proportion of myocardial infarctions that goes unrecognized varies from 20% to 60% in population‐based studies. The reasons for such wide variations have not been studied. We sought to evaluate the effect of ECG‐MI criteria and study methodology on the prevalence of unrecognized myocardial infarction (UMI) and to identify the optimal ECG‐MI criteria for UMI detection in epidemiologic studies.