Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California.
School of Medicine, Johns Hopkins University, Baltimore, Maryland.
Am J Respir Crit Care Med. 2020 Sep 15;202(6):866-877. doi: 10.1164/rccm.201912-2489OC.
Rifapentine has been investigated at various doses, frequencies, and dosing algorithms, but clarity on the optimal dosing approach is lacking. To characterize rifapentine population pharmacokinetics, including autoinduction, and determine optimal dosing strategies for short-course rifapentine-based regimens for latent tuberculosis infection. Rifapentine pharmacokinetic studies were identified though a systematic review of literature. Individual plasma concentrations were pooled, and nonlinear mixed-effects modeling was performed. A subset of data was reserved for external validation. Simulations were performed under various dosing conditions, including current weight-based methods; and alternative methods driven by identified covariates. We identified nine clinical studies with a total of 863 participants with pharmacokinetic data ( = 4,301 plasma samples). Rifapentine population pharmacokinetics were described successfully with a one-compartment distribution model. Autoinduction of clearance was driven by rifapentine plasma concentrations. The maximum effect was a 72% increase in clearance and was reached after 21 days. Drug bioavailability decreased by 27% with HIV infection, decreased by 28% with fasting, and increased by 49% with a high-fat meal. Body weight was not a clinically relevant predictor of clearance. Pharmacokinetic simulations showed that current weight-based dosing leads to lower exposures in individuals with low weight, which can be overcome with flat dosing. In HIV-positive patients, 30% higher doses are required to match drug exposure in HIV-negative patients. Weight-based dosing of rifapentine should be removed from clinical guidelines, and higher doses for HIV-positive patients should be considered to provide equivalent efficacy.
利福喷汀已在不同剂量、频率和给药方案下进行了研究,但对于最佳给药方法仍缺乏明确认识。本研究旨在描述利福喷汀群体药代动力学特征,包括自动诱导作用,并确定潜伏性结核感染的短程利福喷汀方案的最佳给药策略。通过系统文献回顾确定利福喷汀药代动力学研究。汇总个体血浆浓度数据并进行非线性混合效应模型分析。预留部分数据用于外部验证。在不同给药条件下进行模拟,包括当前基于体重的方法和基于确定的协变量的替代方法。我们确定了九项包含 863 名参与者的药代动力学数据( = 4301 个血浆样本)的临床研究。成功地用一个一室分布模型描述了利福喷汀的群体药代动力学。清除率的自动诱导由利福喷汀血浆浓度驱动。最大效应是清除率增加 72%,在第 21 天达到。HIV 感染使药物生物利用度降低 27%,禁食使药物生物利用度降低 28%,高脂肪餐使药物生物利用度增加 49%。体重不是清除率的临床相关预测因子。药代动力学模拟表明,当前基于体重的给药方案会导致体重较轻的个体暴露水平降低,而采用平剂量给药可克服这一问题。在 HIV 阳性患者中,需要增加 30%的剂量才能达到 HIV 阴性患者的药物暴露水平。应从临床指南中删除利福喷汀的基于体重的给药方案,并考虑为 HIV 阳性患者增加剂量以提供等效疗效。