| ORIGINAL ARTICLE |
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| Year : 2022 | Volume
: 11
| Issue : 1 | Page : 116 |
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Predictors of mortality for patients with ST-elevation myocardial infraction after 2-year follow-up: A ST-elevation myocardial infarction cohort in Isfahan study
Marjan Jamalian1, Hamidreza Roohafza1, Azam Soleimani2, Gholamreza Massoumi3, Amirhossein Mirmohammadsadeghi4, Neda Dorostkar5, Safoura Yazdekhasti1, Maedeh Azarm4, Masoumeh Sadeghi2
1 Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
2 Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
3 Department of Anesthesiology, Chamran Cardiovascular Medical and Research Hospital, Isfahan University of Medical Sciences, Isfahan, Iran
4 Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
5 Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
Correspondence Address:
Dr. Masoumeh Sadeghi
Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan
Iran
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/abr.abr_242_21
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Background: Mortality of ST-elevation myocardial infarction (STEMI) patients is increasing in world. This study defines predictors of mortality in patients who have STEMI.
Materials and Methods: This study was a part of the ST-elevated myocardial infarction cohort study in Isfahan conducted on 876 acute myocardial infarction (MI) followed for 2 years that 781 patient entered. The effect of predictors of mortality includes demographic, physiological, and clinical characterizes compared in two groups alive and died patients. MACE was defined as nonfatal MI, nonfatal stroke, and atherosclerosis cardiovascular disease-related death was recorded. Univariate and multiple logistic regression analyses were performed. All analyses performed using SPSS 20.0. P < 0.05 considered statistically significant.
Results: A total 781 patients, 117 (13%) that 72 (8.5%) was in-hospital died. The mean (standard deviation) age of the patients was 60.92 (12.77) years and 705 (81.3%) patients were males. Significant factors that affected mortality on analysis of demographic and physiological parameters were age (P < 0.001), sex (P = 0.004), transfusion (P = 0.010), STEMI type (P < 0.001), number epicardial territories >50% (P = 0.001), ventilation options (P < 0.001), smoker (P = 0.003), and diabetes (P = 0.026). Significant clinical factors affected mortality were ejection fraction (EF) (P < 0.001), creatinine (P < 0.001), hemoglobin (P < 0.001), low-density lipoprotein-cholesterol (LDL-C) (P = 0.019), and systolic blood pressure (P < 0.001). Multiple logistics regression model definition significant predictors for mortality were age (P < 0.001), heart rate (HR) (P = 0.007), EF (0.039), LDL-C (P = 0.002), and preangia (P = 0.022).
Conclusion: The set of factors can increase or decrease mortality in these patients. Significant predictors of mortality STEMI patients by 2-year follow up were age, HR, EF, LDL-C, and preangia. It seems that more articles need to be done in different parts of Iran to confirm the results.
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