Prediction of the behavior of cardiac markers by artificial intelligence in hypertensive and diabetic patients with acute coronary syndrome

Abstract

INTRODUCTION: Recent studies have shown that the sensitivity of the cardiac markers troponin and
creatine kinase depends on other conditions presented by diabetic and hypertensive patients with acute
coronary syndrome.
OBJECTIVE: The objective of the work is to use a predictive model of the behavior of cardiac markers
MATERIAL AND METHODS: a descriptive, randomized, retrospective and observational study was
carried out in patients with diabetes (n = 76) and hypertension (n = 22) with acute coronary syndrome.
RESULTS: percepton network showed that n = 10, 12 and 10 (100%) of the patients with diabetes, Creatine
Kinase (CK-MB) (0.8 and 12 h) showed a prediction of values ≤ 25 IU / L Troponin (cTnI) n = 7 (77.8%),
n = 7 (77.8%) and n = 5 (62.5%) of the patients in the test group (0, 8 and 12 h) were observed a prediction
of levels ≤ 0.01 ng/ml. In hypertensive patients, the results obtained were that n = 6, 5 and 5 (100%) of the
CK-MB patients (0, 8 and 12 h) showed a prediction of an activity ≤ 25 IU / L. cTnI showed that n = 2 (50.0%), n = 2 (66.7%), and n = 3 (75.0%) of patients (0, 8, and 12 hrs) showed predicted levels ≤ 0.01
ng/mL.
CONCLUSIONS: the sensitivity and plasma values of cardiac markers are modified at the time of heart
disease diagnosis in diabetic and hypertensive patients.