Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Korea.
Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, 47392, Korea.
J Clin Pharm Ther. 2019 Oct;44(5):750-759. doi: 10.1111/jcpt.12995. Epub 2019 Jun 22.
Although patients may have received vancomycin therapy with therapeutic drug monitoring (TDM), those treated with high-strength and long-term vancomycin therapy might have unstable and time-varying renal function. The methods used to estimate renal function should not be considered interchangeable with pharmacokinetic (PK) modeling and model-based estimation of vancomycin pharmacokinetics. While Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) for renal function estimation has been widely integrated into clinical practice, a population PK model including CKD-EPI has not been established. The study was aimed at developing a new population PK model for optimal vancomycin prediction in patients with time-varying and variable renal function to evaluate the interchangeability of estimation methods. METHODS: The most suitable population PK model was explored and evaluated using non-linear mixed-effect modelling for the best fit of vancomycin concentrations from patients who needed to maintain high trough vancomycin concentrations of >10 mg/L or >15 mg/L. Renal function was estimated using the Cockcroft-Gault (CG), Modification of Diet in Renal Disease (MDRD) and CKD-EPI equations. NONMEM 7.4 was used to develop the population PK model. RESULTS: A total of 328 vancomycin concentrations in 99 patients were used to develop the population PK model. Vancomycin pharmacokinetics was best described by a two-compartment model. The CKD-EPI equation for vancomycin clearance was included in the final model among the estimation methods of renal function. A new covariate model, including extended covariate parameters that explain changes in renal function from the population-predicted value and individual dosing time, provided the best explanation for vancomycin pharmacokinetics among the various models tested. WHAT IS NEW AND CONCLUSION: A new extended covariate model for vancomycin using the CKD-EPI method may afford suitable dose adjustment for high-strength and long-term vancomycin therapy that results in unstable renal function.
尽管患者可能已经接受了治疗药物监测(TDM)的万古霉素治疗,但那些接受高强度和长期万古霉素治疗的患者可能存在不稳定和时变的肾功能。用于估计肾功能的方法不应被视为与药代动力学(PK)建模和基于模型的万古霉素药代动力学估算可互换。虽然慢性肾脏病流行病学合作组(CKD-EPI)用于肾功能估计已广泛纳入临床实践,但尚未建立包括 CKD-EPI 的群体 PK 模型。该研究旨在开发一种新的群体 PK 模型,以优化时变和可变肾功能患者的万古霉素预测,以评估估算方法的可互换性。方法:使用非线性混合效应建模探索和评估最合适的群体 PK 模型,以最佳拟合需要维持高谷浓度>10mg/L 或>15mg/L 的万古霉素的患者的万古霉素浓度。肾功能使用 Cockcroft-Gault(CG)、肾脏病饮食改良(MDRD)和 CKD-EPI 方程进行估计。使用 NONMEM 7.4 开发群体 PK 模型。结果:共 99 名患者的 328 个万古霉素浓度用于开发群体 PK 模型。万古霉素药代动力学最好由两室模型描述。在肾功能估计方法中,包括 CKD-EPI 方程在内的万古霉素清除率被纳入最终模型。在各种测试模型中,包括解释从群体预测值和个体给药时间变化的扩展协变量参数的新协变量模型,为万古霉素药代动力学提供了最佳解释。新内容和结论:使用 CKD-EPI 方法的新扩展协变量模型可能为高强度和长期万古霉素治疗导致不稳定肾功能的患者提供合适的剂量调整。