The Correlation between Serum ApoA1 and B and Coronary Artery Disease as Well as Its Severity

authors:

avatar SeverityNavid Reza Mashayekhi 1 , * , avatar Saeid Sadrnia 1 , avatar Ali Chehrei 2 , avatar Javad Javaheri 3

Amirkabir Hospital, Arak University of Medical Sciences, Arak, Iran
Thyroid Research Center, Arak University of Medical Sciences, Arak, Iran
Medical School, Community Medicine Department, Arak University of Medical Sciences, Arak, Iran
International Cardiovascular Research Journal: Vol.8, issue 1; e12043
published online: March 31, 2014
article type: Research Article
received: April 30, 2017
accepted: December 13, 2013

how to cite: Mashayekhi S R , Sadrnia S , Chehrei A , Javaheri J . The Correlation between Serum ApoA1 and B and Coronary Artery Disease as Well as Its Severity. Int Cardiovasc Res J. 2014;8(1):e12043. 

Abstract

Background:: Some patients with Coronary Artery Disease (CAD) have no well-known risk factors of this disease, but are diagnosed with cardiovascular events. The present study aimed to assess the association between Apo A1 and ApoB and the severity of CAD and determine whether these parameters are better predictors of Ischemic Heart Disease (IHD).
Methods:: In this case control study, 271 individuals who were suspicious of having CAD and had been referred to Arak Amir-al-Momenin hospital underwent coronary angiography. Based on the results of angiography, the participants with presence or absence of coronary artery stenosis were allocated into the case and the control group, respectively. The severity of CAD involvement was determined by Gensini score. The data were entered into the SPSS statistical software and analyzed through parametric and non-parametric tests, sensitivity analysis, and logistic regression.
Results:: The results revealed no significant correlation between apoA-1 and severity of CAD involvement (GS) (r = 0.017, P = 0.797). However, a significant correlation was found between apoB and GS (r = 0.127, P = 0.047). Logistic regression model showed ApoB, sex, DM and, FH as the only proper predictors of IHD (P < 0.048, P < 0.002, P < 0.040, and P < 0.001, respectively). In comparison to angiography for diagnosis of CAD, ROC analysis represented ApoB as a more useful predictor (P = 0.023).
Conclusions:: In addition to measurement of conventional parameters for assessing CAD high risk groups, according to the results of this study using ApoB would be resonable as well. Further investigations are recommended to clear the problem.

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