Abstract

IntroductionTime-to-treatment is one of the most important factors affecting the complications and mortality rate in patients with acute myocardial infarction. The purpose of this study was to determine time-to-treatment and its association with complications and mortality rates in patients with acute myocardial infarction in selected hospitals in Zanjan, Iran. MethodsThis prospective cohort study was performed with 200 patients suffering from acute myocardial infarction in selected educational hospitals of Zanjan from June 2016 to March 2017. Parameters including the interval between pain onset and treatment, myocardial infarction complications, in-hospital mortality, and 30-day mortality after the occurrence of myocardial infarction were collected through a special questionnaire and phone calls. The data were analyzed using descriptive statistics and logistic regression models. ResultsThe longest time-to-treatment delay is related to prehospital time (mean, 330.68 [SD=411.55] minutes). Based on the results, the increase in the interval time between onset of pain and treatment (odds ratio: 1.001; 95% confidence interval, 1.000–1.002; P = 0.01), hypertension (odds ratio: 2.96; 95% confidence interval, 1.14–7.68; P = 0.02), and left coronary artery complete occlusion (odds ratio: 2.78; 95% confidence interval, 1.57–4.94; P < 0.001) were mortality predictor factors. Furthermore, the increase in the interval time between onset of pain and treatment (odds ratio: 1.001; 95% confidence interval, 1.000–1.002; P = 0.03), current smoking (odds ratio: 5.53; 95% confidence interval, 1.75–17.43; P = 0.004), and right coronary artery complete occlusion (odds ratio: 5.87; 95% confidence interval, 1.34–25.82; P = 0.02) were highly associated with the occurrence of heart failure. DiscussionHypertension, smoking history, and delay in treatment time were highly associated with the occurrence of heart failure and mortality. Therefore, in Iranian society, education on primary and secondary prevention of myocardial infarction is recommended to reduce patient mortality.

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