Multivariate logistic regression analysis of risk factors for heart function of patients with acute ST segment elevation myocardial infarction

AIM We used multivariate logistic regression analysis of risk factors for heart function of patients with acute ST segment elevation myocardial infarction (STEMI) to provide a basis for clinical prediction of STEMI patients complicated with heart failure. METHODS One hundred forty five patients with STEMI were divided into normal heart function group (n=95) and abnormal cardiac function group (n=50), and risk factors for heart function of patients with acute STEMI were analyzed by univariate Pearson and multivariate logistic regression analysis. RESULTS 1) Using Pearson single factor analysis, the difference of normal heart function group and abnormal heart function groups according to age, diabetes, admission heart rate and diastolic blood pressure, beta blockers and IL-6 levels were statistically significant (P<0.05-0.01). 2) Pearson single factor analysis was statistically significant and brought into multivariate logistic regression model, finally determining the effects of STEMI on admission in patients with risk factors for heart function: age (β=0.419, SE=0.192, Wald=8.293, P<0.05, OR=1.827, 95%CI, 1.362-2.209), diabetes mellitus (β=0.753, SE=0.368, Wald=9.091, P<0.05, OR=2.238, 95%CI 1.827-3.114), admission heart rate (β=0.746, SE=0.273, Wald=7.082, P<0.05, OR=2.372, 95%CI, 1.402-4.156), diastolic blood pressure (β=0.810, SE=0.556, Wald=10.281, P<0.05, OR=2.591, 95%CI, 2.211-3.391) and IL-6 (β=0.627, SE=0.431, Wald=14.382, P<0.05, OR=3.021, 95%CI 2.873-4.159). CONCLUSION Age, diabetes mellitus, admission heart rate, diastolic blood pressure and IL-6 level of risk of cardiac function in STEMI patients on admission are factors affecting STEMI patients complicated with heart failure and provide some basis for the diagnosis and treatment of STEMI patients complicated with heart failure.