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Table 1 UCHealth Population by MI diagnosis

From: Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data

  No MI 6-month Incident MI
Number (%) 2.25 million(%) 20,591 (%)
Age (Mean ± SD) 43.32 ± 22.56 70.36 ± 14.02
Female sex (%) 1,228,689 (54.5%) 7880 (37.7%)
Hypertension (%) 376,371 (16.72%) 12,314 (59.8%)
Coronary artery disease (%) 59,199 (2.63%) 6700 (32.53%)
Mitral valve disease (%) 30,251 (1.34%) 1668 (8.1%)
Heart failure (%) 44,999 (2%) 3038 (14.75)
Diabetes mellitus (%) 131,059 (5.82%) 5432 (26.38%)
Obesity (%) 127,575 (5.67%) 2343 (11.37%)
Chronic kidney disease (%) 42,759 (1.9%) 2128 (10.33%)
  1. Legend: Baseline demographics and relative frequency of typical MI risk factors. Diagnoses based on presence of diagnosis code (ICD-10; ICD-9) for each. Hypertension: I10x; 401.x, Coronary artery disease: I25.1; 414.01, Mitral Valve disease: I34.2, I34.0, 394.0, 424.0, Heart failure: I50.9, 428.0, Type II Diabetes Mellitus: E11.9, 250.00, Obesity: E66.9, 278.0, Chronic kidney disease: N18.9, 585.9