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Serum Malondialdehyde (MDA) as Predictor for Severity of Coronary Artery Disease (CAD)


Mohammed Elsayed ELSetiha
Randa Mohammed Abd ElMageed
Ahmed Emad Eldin Mohamed
Mohammed Moheb AbuZeid
Sara Ibrahim El Sharkawy

Abstract

Background: Coronary artery disease (CAD) occurs when the heart's myocardium receives an insufficient blood and oxygen supply.  


Objective: This study aimed to measure serum malondialdehyde (MDA) levels in CAD patients and examine their association with the  disease's severity.


Patients and Methods: This cross-sectional observational study involved 75 patients who underwent diagnostic  coronary angiography to diagnose CAD. Patients were categorized into three groups based on their SYNTAX scores: the first group had  mild CAD (SYNTAX score: ≤22), the second group had moderate CAD (SYNTAX score: 23-32), and the third group had severe CAD (SYNTAX  score: ≥33).


Results: The optimal MDA cutoff point for distinguishing between low and intermediate risk was >279.5 ng/ml, with a sensitivity of 83.3% and a specificity of 58.9%. The area under the curve (AUC) was 0.796, which was statistically significant (p=0.001). For  differentiating between intermediate and high risk, the best MDA cutoff point was >342 ng/ml, with a sensitivity of 85.7% and a specificity  of 91.7%. The AUC was 0.988, which was statistically significant (p<0.001).


Conclusion: Serum MDA levels could serve as a non-invasive  biomarker to assess the severity of CAD, aligning with the findings from coronary angiography.  


Journal Identifiers


eISSN: 2090-7125
print ISSN: 1687-2002