Mohammadian Hafshejani A, Baradaran H, Sarrafzadegan N, Asadi Lari M, Ramezani A, Hosseini S et al . Predicting Factors of Short-term Survival in Patients with Acute Myocardial Infarction in Isfahan Using a Cox Regression Model. irje 2012; 8 (2) :39-47
URL:
http://irje.tums.ac.ir/article-1-7-en.html
1- , hrbaradaran@tums.ac
Abstract: (16536 Views)
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.
Type of Study:
Research |
Subject:
General Received: 2011/06/25 | Accepted: 2012/02/25 | Published: 2013/08/18
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