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Volume 16, Issue 6 (9-2013)                   J Arak Uni Med Sci 2013, 16(6): 82-89 | Back to browse issues page

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1- Assistant Professor of Cardiology, Amir-kabir hospital, Arak University of Medical sciences, Arak, Iran , mashayekhi.nr@arakmu.ac.ir
2- Assistant Professor of Cardiology, Amir-kabir hospital ,Arak University of Medical sciences, Arak, Iran
3- Clinical Pathology Specialist ,Thyroid Research Center, Arak University of Medical sciences, Arak, Iran
4- Community and Preventive Medicine Specialist, Head of NCD Department, Deputy of Healh, Arak University of Medical sciences Assistant Professor of Cardiology, Amir-kabir hospital, Arak University of Medical sciences, Arak, Iran
5- Expert Statistics, Clinical Research Unit, Arak university of medical scincse, Arak, Iran
Abstract:   (7075 Views)

Background: Traditionally levels of cholesterol and triglyceride are used to identify individuals at risk of coronary artery disease (CAD). The aim of this study is examining the association of ApoA1 and ApoB with severity of coronary artery disease and whether these parameters are better predictor of CAD.

Materials and methods: This is a cross- sectional study. All patients that referred to ARAK amirallmomenin hospital and enrolled for coronary angiography was entered to study. Before angiography and after gathering informed consent, levels of apoA1 apoB, cholesterol, TG, LDL, VLDL, HDL and FBS were measured. The results of coronary angiography were reviewed by two experienced cardiologist separately. Severity of coronary artery disease involvement was determined by Gensini score (GS), the data were analyzed with statistical methods by SPSS software.

Results: There is a statistically significant correlation Between apoB and GS (r=0.127, p=0.047). Logistic regression model showed that among predictors for CAD entered model eg gender, age, cholesterol, TG, HDL, LDL , VLDL, ApoA1, ApoB and ApoB/Apo- A1 ratio, only ApoB and gender were proper predictors of coronary artery Disease( CAD) (p=0.002, , p=0.001). In comparison with angiography for diagnosis of CAD, ROC analysis represent that using ApoB can be useful test (p=0.047).

Conclusion: According to result of this study, using ApoB in addition to conventional parameters for assessing the patient at risk to having CAD would be reasonable and could be an independent risk factor for CAD.

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Type of Study: Original Atricle | Subject: Cardiology
Received: 2013/02/10 | Accepted: 2013/09/14