The complexity of coronary artery disease (CAD) lesions significantly influences patient outcomes and determines the choice of treatment approaches. For that reason, several classifications were established to grade these lesions and predict clinical outcomes effectively, which led to the discovery of the SYNTAX scores. Growth differentiation factor-15 (GDF-15) is a transforming growth factor that showed to increase significantly in various pathological conditions, including cardiovascular disease. Fatty acid-binding protein (FABP), a protein involved in lipid metabolism, has been implicated as a potential biomarker for CAD. So, the current study aimed to assess the levels of FABP and GDF-15 in association with the SYNTAX score to predict lesion complexity in CAD in a prospective comparative study that was conducted on 120 patients with CAD categorized according to SYNTAX score into low, intermediate, and high scores who were subjected to an assessment of the demographic factors, lipid profile, FABP and GDF-15 and compared with each other with an assessment of the association of the measured markers with the SYNTAX score. The results of the present work showed that as the syntax score went up, the levels of FABP and GDF-15 went up significantly, and the ROC curve results showed that the levels of GDF-15 have excellent discrimination ability in differentiating between patients with a high syntax score and patients with a low score with a sensitivity and specificity of 92% and 98%, whereas FABP showed a good discrimination ability which leads to the conclusion that levels of FABP and GDF-15 may be used in association as a predictor for the complexity of coronary artery lesions in parallel with SYNTAX score.
Coronary artery disease SYNTAX score growth differentiation factor-15 fatty acid-binding protein
Primary Language | English |
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Subjects | Pharmaceutical Chemistry |
Journal Section | Articles |
Authors | |
Publication Date | September 1, 2025 |
Submission Date | August 26, 2024 |
Acceptance Date | September 11, 2024 |
Published in Issue | Year 2025 Volume: 29 Issue: 5 |