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- Title
لیپوپروتئین با چگالی پایین اکسید شده در سكته قلبی حاد: یک مطالعه مورد- شاهدی
- Authors
پیمان ایزدپناه; محمد شجاعی; زهرا شیبانی; امین مصلی نژاد; کرامت اله رحمانیان
- Abstract
Introduction: The metabolism of many fats, including free fatty acids and oxidized low density lipoprotein (ox-LDL) play an important role in the development of atherosclerosis. The aim of this study was to determine the association between circulating ox-LDL and acute myocardial infarction. Materials and Methods: The case control study conducted on 43 patients with acute myocardial infarction and 43 volunteers who had no signs, symptoms or history of cardiovascular or cerebrovascular disease and matched to patients for age and sex (control). We used ELISA kit (company of Mercodia, Sweden) to measure circulating ox-LDL. The data recorded and then analyzed by SPSS software version 16. Statistical significance was considered as p-value less than 0.05. Results: Two study groups significantly were no differences as age, sex, smoking, family history of ischemic heart disease, hypertriglyceridemia, hypercholesterolemia, hypertension, diabetes mellitus type 2, and disease existence. There was a significant difference between the mean concentration of ox-LDL in AMI and control group as it was higher in the patients (2.14 ± 1.67 μg/ml) than the controls (1.03 ± 1.18 μg/ml, p= 0.001). Using logistic regression analysis and entering variables of study in the model, ox-LDL factor was independently associated with the risk of myocardial infarction (OR= 1.74, CI95%: 1.23-2.45, P= 0.002). Conclusions: Elevated ox-LDL is associated with the acute myocardial infarction and may also be helpful in the early detection of myocardial infarction.
- Subjects
MYOCARDIAL infarction risk factors; AGE distribution; CONFIDENCE intervals; ENZYME-linked immunosorbent assay; LOW density lipoproteins; HEALTH outcome assessment; SEX distribution; SMOKING; MATHEMATICAL variables; LOGISTIC regression analysis; STATISTICAL significance; CASE-control method; FAMILY history (Medicine); DATA analysis software; DESCRIPTIVE statistics; ODDS ratio
- Publication
Pars Journal of Medical Sciences, 2020, Vol 18, Issue 1, p8
- ISSN
2717-0284
- Publication type
Article