ArticleARYA atherosclerosis2022
Mortality in patients with myocardial infarction and potential risk factors: A five-year data analysis.
Article in ARYA atherosclerosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Development and Clinical Evaluation of a Wearable 12-Lead Electrocardiographic Platform with Automated ECG Analysis for Telemedicine Applications.Sensors (Basel, Switzerland) · 2026Article
- Cost-effectiveness of contingency management for methamphetamine use disorder: A model-based analysis.Addiction (Abingdon, England) · 2026Article
- Determinants of cancer mortality in patients after acute myocardial infarction.International journal of cardiology. Heart & vasculature · 2026Article
- Stem cell-derived extracellular vesicles as immunomodulators: a novel paradigm for post-myocardial infarction repair and regeneration.Frontiers in pharmacology · 2026Review
- The influence of acute and chronic coronary syndrome on the gut microbiome and downstream microbiome-derived metabolites-Microbiome in acute myocardial infarction-MIAMI-Trial.Basic research in cardiology · 2025Observational
- RURUS SURYAWAN Score: A Novel Scoring System to Predict 30-Day Mortality for Acute Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention.Journal of clinical medicine · 2025Article
- Obesity paradox in atrial fibrillation and flutter: a multivariate nationwide inpatient analysis.American journal of cardiovascular disease · 2025Article
- Causes of death and trends in mortality from the year 2000 to 2017 in patients with acute myocardial infarction.Annals of medicine · 2024Article
- Multivariate Analysis of the Determinants of Total Mortality in the European Union with Focus on Fat Intake, Diabetes, Myocardial Infarction, Life Expectancy, and Preventable Mortality: A Panel Data Fixed-Effects Panel Data Model Approach.Journal of cardiovascular development and disease · 2024Article
- The Role of Alarmins in the Pathogenesis of Atherosclerosis and Myocardial Infarction.Current issues in molecular biology · 2024Review
- E/e' Ratio as a Predictor of In-Hospital Complications and Clinical Outcomes of Acute Myocardial Infarction.Cureus · 2024Article
- In-Hospital Mortality in Patients With Acute Myocardial Infarction: A Literature Overview.Cureus · 2024Review
- Non-conscious detection of ST-segment elevation during physician ECG interpretation.Journal of electrocardiologyArticle
- Cardiac rehabilitation through conventional care with add on Ayurveda intervention following acute myocardial infarction help improving the cardiac function - A case report.Journal of Ayurveda and integrative medicineArticle
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronary artery disease (CAD) is among the most common causes of death in almost all countries across the world. Awareness of risk factors for the management and prevention of the disease can reduce complications and mortality rates. This study was conducted with the aim to investigate the mortality and potential risk factors of myocardial infarction (MI) as well as their relationships in patients who were admitted to one university hospital in the North of Iran from 2014 to 2018.
methodsThis study had retrospective descriptive design. Using a checklist, all necessary information was extracted from 5-year medical records data of MI patients in the university hospital from 2014 to 2018 (n = 564). The data analysis was performed in SPSS software using descriptive statistics and two binary logistic regression analyses.
resultsThe results showed that the mean age of the patients was 62.78 ± 13.38 years, and most of them were men (66.3%). The patients' mortality was 18.6% in a 5-year analysis. However, the number of mortalities was higher in the women (P = 0.001). Descriptive analysis showed that the most common risk factors of the disease in both genders were hypertension (46.6%), diabetes mellitus (DM) (38.5%), hyperlipidemia (24.1%), smoking (20%), and family history of CVDs (18.8%), respectively. However, the results of the adjusted regression model showed that the odds ratio (OR) of the patients' mortality increased in diabetic MI patients (OR: 2.33; 95%CI: 1.42-3.81; P = 0.001), but this ratio decreased in MI patients with a history of hyperlipidemia (OR: 0.23; 95%CI: 0.11-0.44; P ˂ 0.001).
conclusionBased on the results, individual- and population-based prevention strategies by focusing on hypertension and diabetes are recommended in our health programs. Surprisingly, the mortality rate of MI patients was lower among those with a history of hyperlipidemia. There are different hypotheses for the cause of this. Therefore, laboratory studies with animal models and prospective cohorts are suggested for future studies.
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