Evaluating the Effect of Estimating Renal Function With the CKD-EPI 2021 Equation on the ABCD-GENE Score for Clopidogrel Response Prediction

Abstract

The ABCD-GENE score was developed to predict poor response to clopidogrel and includes Age, Body mass index, Chronic kidney disease (CKD; estimated glomerular filtration rate [eGFR] < 60 mL/min/1.73 m²), Diabetes, and CYP2C19 GENE variants; a score ≥ 10 is predictive of reduced clopidogrel effectiveness after percutaneous coronary intervention (PCI). Estimation of GFR without a race variable via the CKD-EPI Scr 2021 equation is now recommended. We examined the impact of using the CKD-EPI Scr 2021 vs. 2009 equation on the ABCD-GENE score for post-PCI patients. A total of 4335 adult patients (n = 925 Black) who underwent PCI and CYP2C19 genotyping were included, with GFR estimated for each patient via the CKD-EPI Scr 2021 and CKD-EPI 2009 equations. The ABCD-GENE score, calculated based on each GFR estimation, was compared. With the CKD-EPI Scr 2021 vs. 2009 equation, median (IQR) eGFR was lower (74 [55-94] vs. 81 [60-103] mL/min/1.73 m², P < 0.001), and CKD prevalence was higher (31% vs. 25%, P < 0.001) among Black patients, whereas eGFR was higher (85 [65-99] vs. 80 [61-94] mL/min/1.73m², P < 0.001), and CKD prevalence was lower (20% vs. 24%, P < 0.001) in non-Black patients. This led to 12 (1%) Black patients being reclassified from low to high risk of poor clopidogrel response and 30 (1%) non-Black patients being recategorized from high to low risk (P < 0.001 for both comparisons). Removal of the race variable from GFR estimation significantly impacted the prediction of clopidogrel effectiveness via the ABCD-GENE score.