Bibliographic Details
Title: |
Short and Long-term Survival Rates following Myocardial Infarction and its Predictive Factors: A Study Using National Registry Data. |
Authors: |
Mozaffarian, Samaneh, Etemad, Korosh, Aghaali, Mohammad, Khodakarim, Soheila, Ghorbani, Sahar Sotoodeh, Nazari, Seyed Saeed Hashemi |
Source: |
Journal of Tehran University Heart Center; 2021, Vol. 16 Issue 2, p68-74, 7p |
Subject Terms: |
MYOCARDIAL infarction, RETROSPECTIVE studies, SURVIVAL analysis (Biometry) |
Geographic Terms: |
IRAN |
Abstract: |
Background: Coronary artery disease is the most common cause of death worldwide as well as in Iran. The present study was designed to predict short and long-term survival rates after the first episode of myocardial infarction (MI). Methods: The current research is a retrospective cohort study. The data were collected from the Myocardial Infarction Registry of Iran in a 12-month period leading to March 20, 2014. The variables analyzed included smoking status, past medical history of chronic heart disease, hypertension, diabetes, hyperlipidemia, signs and symptoms during an attack, post-MI complications during hospitalization, the occurrence of arrhythmias, the location of MI, and the place of residence. Survival rates and predictive factors were estimated by the Kaplan-Meier method, the log-rank test, and the Cox model. Results: Totally, 21 181 patients with the first MI were studied. There were 15 328 men (72.4%), and the mean age of the study population was 62.10-13.42 years. During a 1-year period following MI, 2479 patients (11.7%) died. Overall, the survival rates at 28 days, 6 months, and 1 year were estimated to be 0.95 (95% CI: 0.95 to 0.96), 0.90 (95% CI: 0.90 to 0.91), and 0.88 (95% CI: 0.88 to 0.89). After the confounding factors were controlled, history of chronic heart disease (p<0.001), hypertension (p<0.001), and diabetes (p<0.001) had a significant relationship with an increased risk of death and history of hyperlipidemia (p<0.001) and inferior wall MI (p<0.001) had a significant relationship with a decreased risk of death. Conclusion: The results of this study provide evidence for health policy-makers and physicians on the link between MI and its predictive factors. [ABSTRACT FROM AUTHOR] |
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Database: |
Complementary Index |