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The Correlation between Serum ApoA1 and B and Coronary Artery Disease as Well as Its Severity
Navid Reza Mashayekhi1, Saeid Sadrnia1, Ali Chehrei2
1Amirkabir Hospital, Arak University of Medical Sciences, Arak, IR Iran.
Insights
Apolipoprotein B (ApoB) correlates with coronary artery disease (CAD) severity and predicts ischemic heart disease (IHD) better than traditional risk factors. ApoB offers a valuable addition to CAD risk assessment.
Area of Science:
- Cardiology
- Biochemistry
- Medical Diagnostics
Background:
- Coronary Artery Disease (CAD) affects individuals without typical risk factors.
- Cardiovascular events can occur unexpectedly in some patients.
- Identifying novel predictors for CAD and Ischemic Heart Disease (IHD) is crucial.
Purpose of the Study:
- To evaluate the association between Apolipoprotein A1 (ApoA1) and Apolipoprotein B (ApoB) levels and CAD severity.
- To determine if ApoA1 and ApoB are superior predictors of IHD compared to existing methods.
Main Methods:
- A case-control study involving 271 individuals undergoing coronary angiography.
- CAD severity was quantified using the Gensini score.
- Logistic regression and Receiver Operating Characteristic (ROC) analysis were employed.
Main Results:
- No significant correlation was found between ApoA1 and CAD severity (P = 0.797).
- A significant positive correlation was observed between ApoB and CAD severity (P = 0.047).
- ApoB, sex, diabetes mellitus (DM), and family history (FH) were identified as significant predictors of IHD (P < 0.048).
- ROC analysis indicated ApoB is a more effective predictor of CAD than angiography (P = 0.023).
Conclusions:
- ApoB measurement is a valuable addition to conventional risk assessment for CAD.
- ApoB may serve as a more effective biomarker for predicting IHD.
- Further research is recommended to elucidate the role of ApoB in CAD.
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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