Short and Long-term Survival Rates following Myocardial Infarction and its Predictive Factors: A Study Using National Registry Data

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.