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Predicting Factors of Short-Term Survival in Patients With Acute Myocardial Infarction in Isfahan Using a Cox Regression Model



Mohammadian Hafshejani AB1 ; Baradaran H2 ; Sarrafzadegan N1 ; Asadilari M3 ; Ramezani A4 ; Hosseini SH4 ; Allahbakhshi Hafshejani F5
Authors
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Authors Affiliations
  1. 1. Cardiovascular Research Center, Isfahan Cardiovascular Research Institute, Isfahan university of Medical Sciences, Iran
  2. 2. Research Institute of Endocrine Sciences, Tehran University of Medical Sciences, Iran
  3. 3. Oncopathology Research Centre, Tehran University of Medical Sciences, Iran
  4. 4. Isfahan Cardiovascular Research Institute, Isfahan University of Medical Sciences Isfahan, Iran
  5. 5. Arak University, Arak, Iran

Source: Iranian Journal of Epidemiology Published:2012

Abstract

Background & Objectives: Despite decreasing the trend of coronary artery diseases in developed countries and outstanding improvements in clinical management of these patients, case fatality rate after an acute myocardial infarction (AMI) remains high in both genders. Identifying predicting factors of short-term survival in patients with AMI may play an important role in reducing mortality in these patients. Methods: In this cohort study, all patients with acute myocardial infarction (AMI) admitted to all hospitals in Isfahan, Iran, during 2000-2008 which registered in Isfahan cardiovascular research Institute were analyzed. We used Cox regression models, uni- and multi-variable analysis. Results: Within the study period, 8800 AMI patients (73.6% male) were admitted with mean age of 61.85±12.5, and overall 28-day survival of 90.5%. Relative risk (RR) of death for 50-70 years old patients was 2.5 (CI:2-3.1), for over 70 years old RR=5 (CI:4-6.3), for women RR=1.7 (CI:1.5-1.9), for patients who had not received streptokinase RR=0.9 (CI:0.8-1.1), for inferior MI RR=4.2 (CI:2.2-7.8) and for anterior MI, RR was equal to 7.2 (CI:4-13.3). Conclusion: Recognizing the predicting factors of short-term survival of AMI patients may help health professionals to provide better healthcare services for more at risk patients, i.e. elderly, women and patients with an anterior MI.
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