Department of Clinical Pharmacology and Biopharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Department of Pharmacy, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
J Infect Chemother. 2023 Apr;29(4):391-400. doi: 10.1016/j.jiac.2023.01.010. Epub 2023 Jan 20.
Data on the pharmacokinetics (PK) and area under the curve (AUC)-based dosing strategy of vancomycin (VCM) in hematologic malignancies are limited. According to our preliminary narrative review, only a few population PK analyses in hematologic malignancies have been performed. Therefore, we aimed to develop a population PK model, investigate the factors influencing VCM PK, and propose an optimal dosing regimen for hematologic malignancies.
A retrospective study was conducted in patients with underlying hematologic malignancies treated with VCM. A total of 148 patients were enrolled for population PK modeling. Simulation analyses were performed to identify dosing regimens achieving a target exposure of AUC of 400-600 mg h/L at the steady-state.
The VCM PK data were best described with a one-compartment model. Significant covariates included creatinine clearance (Ccr), diagnosis of acute myeloid leukemia (AML) and neutropenia on VCM clearance (CL), and body weight (WT) on the volume of distribution (Vd). The typical values of CL and Vd were 3.09 L/h (normalized to Ccr value of 90 mL/min) and 122 L/70 kg, respectively. Concerning the effect on VCM dosing, AML patients required 15% higher doses than non-AML patients, independently of renal function. In contrast, for neutropenic patients, only those with augmented renal clearance (ARC, Ccr value ≥ 130 mL/min) required a 10% dose increase compared to non-neutropenic patients.
AML patients with neutropenia and ARC represent a critical population with a higher risk of VCM underexposure. Thus, individualized dosing adjustment and therapeutic drug monitoring are strongly recommended.
血液恶性肿瘤患者万古霉素(VCM)的药代动力学(PK)和基于曲线下面积(AUC)的给药方案数据有限。根据我们的初步叙述性综述,仅对少数血液恶性肿瘤中的群体 PK 分析进行了研究。因此,我们旨在开发一个群体 PK 模型,研究影响 VCM PK 的因素,并提出血液恶性肿瘤的最佳给药方案。
对接受 VCM 治疗的基础血液恶性肿瘤患者进行回顾性研究。共纳入 148 例患者进行群体 PK 建模。模拟分析用于确定在稳态时达到 AUC 目标暴露 400-600mg·h/L 的给药方案。
VCM PK 数据最好用单室模型描述。显著的协变量包括肌酐清除率(Ccr)、急性髓系白血病(AML)诊断和 VCM 清除率(CL)的中性粒细胞减少症,以及体重(WT)对分布容积(Vd)的影响。CL 和 Vd 的典型值分别为 3.09L/h(标准化为 90mL/min 的 Ccr 值)和 122L/70kg。关于对 VCM 给药的影响,AML 患者的剂量比非 AML 患者高 15%,与肾功能无关。相比之下,对于中性粒细胞减少症患者,只有那些具有增强的肾清除率(ARC,Ccr 值≥130mL/min)的患者与非中性粒细胞减少症患者相比需要增加 10%的剂量。
伴有中性粒细胞减少症和 ARC 的 AML 患者是 VCM 暴露不足风险较高的关键人群。因此,强烈建议进行个体化剂量调整和治疗药物监测。