Konecki Celine, Lipman Mark L, Mavrakanas Thomas A, Djerada Zoubir
Laboratoire de Pharmacologie et Toxicologie, Department of Pharmacology, UR 3801, Reims University Hospital, University of Reims Champagne-Ardenne, 45 rue Cognacq Jay, 51092, Reims Cedex, France.
Division of Nephrology, Jewish General Hospital, McGill University, Montreal, QC, Canada.
Clin Pharmacokinet. 2025 Feb;64(2):307-321. doi: 10.1007/s40262-025-01476-6. Epub 2025 Jan 24.
Apixaban is increasingly being used for stroke prevention in patients with end-stage kidney disease with atrial fibrillation undergoing haemodialysis, but no pharmacostatistical model is available for dosage adjustment. This study aimed to develop a population pharmacokinetic model of apixaban in these patients to characterise its dialytic clearance and determine optimal dosing regimens and discontinuation timing before surgery.
Patients received 2.5 mg of apixaban twice daily for 9 days, followed by 5 mg twice daily for 8 days after a 5-day washout period (NCT02672709). Apixaban concentrations were measured on and off dialysis. A population pharmacokinetic model was developed using parametric and non-parametric methods. Simulations were performed to assess plasmatic exposure and the time to reach clinically relevant apixaban concentrations after treatment discontinuation for seven dosing regimens and 13 dialysis schedules.
A total of 289 apixaban concentrations were measured, including 85 during haemodialysis. The best model was a two-compartment model with first-order elimination. Dialytic clearance was estimated at 1.20 L/h with high inter-individual variability. Apixaban daily exposure was proportional to the total daily dose, independent of dosing frequency and dialysis timing. The standard discontinuation period of 48-72 h before surgery was insufficient to achieve clinically negligible concentrations in patients undergoing haemodialysis.
We propose the first pharmacokinetic model to characterise apixaban clearance in patients with end-stage kidney disease with atrial fibrillation undergoing haemodialysis. Simulations suggest that dialysis timing is not critical for monitoring apixaban, and the discontinuation period before surgery should be extended beyond current recommendations.
阿哌沙班越来越多地用于接受血液透析的终末期肾病合并心房颤动患者的卒中预防,但尚无用于剂量调整的药代统计学模型。本研究旨在建立这些患者的阿哌沙班群体药代动力学模型,以表征其透析清除率,并确定最佳给药方案以及手术前停药时机。
患者每天两次接受2.5mg阿哌沙班治疗,持续9天,在5天的洗脱期后,每天两次接受5mg阿哌沙班治疗,持续8天(NCT02672709)。在透析期间及透析后测量阿哌沙班浓度。使用参数法和非参数法建立群体药代动力学模型。针对七种给药方案和13种透析方案进行模拟,以评估血浆暴露量以及停药后达到临床相关阿哌沙班浓度的时间。
共测量了289个阿哌沙班浓度,其中85个在血液透析期间测量。最佳模型为具有一级消除的二室模型。透析清除率估计为1.20L/h,个体间变异性较高。阿哌沙班的每日暴露量与每日总剂量成正比,与给药频率和透析时间无关。手术前48 - 72小时的标准停药期不足以使接受血液透析的患者达到临床可忽略不计的浓度。
我们提出了首个药代动力学模型,以表征接受血液透析的终末期肾病合并心房颤动患者的阿哌沙班清除率。模拟结果表明,透析时间对监测阿哌沙班并非关键因素,手术前的停药期应延长至超出当前建议。