Date of Award

7-1-2001

Degree Type

Restricted Access Thesis

Degree Name

Master of Public Health

Department

School of Public Health

First Advisor

Karan Singh

Second Advisor

Antonio Rene

Third Advisor

Sally Blakley

Abstract

Zhang, Huiling. Predictors of In-hospital Mortality Among Acute Myocardial Infarction Patients in a Large Health Care System. Master of Public Health, July 2000, 29 pp., 4 tables, 29 references. Background---There is increasing interest in the identification of risk predictors for in-hospital mortality due to acute myocardial infarction (AMI). To date, there has been no AMI in-hospital mortality prediction models developed using clinical database. Methods and Results---The study population consists of 4,167 AMI cases admitted to 36 hospitals in 3 states. Thirty variables were selected as candidate predictors, and 19 showed significant bivariate association with AMI in-hospital mortality. By applying multiple logistic regression and stepwise selection, 10 variables were selected for inclusion in the final prediction model: age, arrive from cardiac rehabilitation center, CPR on arrival, Killip class, AMI with comorbidities, AMI with complications, PCTA performed, beta-blockers given, ACE inhibitors given, Plavix given. Conclusion---A ten-variable in-hospital mortality prediction model for AMI patients, which includes both risk factors and beneficial treatment procedures, was developed. Chi-square goodness of fit test suggested a very good fit for the model.

Comments

Zhang, Huiling. Predictors of In-hospital Mortality Among Acute Myocardial Infarction Patients in a Large Health Care System. Master of Public Health, July 2000, 29 pp., 4 tables, 29 references. W 4.5 Z63P 2001

Share

COinS