INSERM CIC1402, University Hospital of Poitiers, University of Poitiers, 86021, Poitiers Cedex, France; Biology-Pharmacy-Public Health Department, University Hospital of Poitiers, 2 Rue de La Milétrie, 86021, Poitiers Cedex, France.
AP-HP, Bichat Claude Bernard Hospital, Pharmacology-Toxicology Department and IAME, INSERM, UMRS1137, Université de Paris, 75018, Paris, 7, France.
Antiviral Res. 2020 Sep;181:104866. doi: 10.1016/j.antiviral.2020.104866. Epub 2020 Jul 10.
In the context of the COVID-19 pandemic, several drugs have been repurposed as potential candidates for the treatment of COVID-19 infection. While preliminary choices were essentially based on in vitro potency, clinical translation into effective therapies may be challenging due to unfavorable in vivo pharmacokinetic properties at the doses chosen for this new indication of COVID-19 infection. However, available pharmacokinetic and pharmacokinetic-pharmacodynamic studies suffer from severe limitations leading to unreliable conclusions, especially in term of dosing optimization. In this paper we propose to highlight these limitations and to identify some of the major requirements that need to be addressed in designing PK and PK-PD studies in this era of COVID. A special attention should be paid to pre-analytical and analytical requirements and to the proper collection of covariates affecting dose-exposure relationships (co-medications, use of specific organ support techniques and other clinical and para-clinical data). We also promote the development of population PK and PK-PD models specifically dedicated to COVID-19 patients since those previously developed for other diseases (SEL, malaria, HIV) and clinical situations (steady-state, non-ICU patients) are not representative of severe patients. Therefore, implementation of well-designed PK and PD studies targeted to COVID-19 patients is urgently needed. For that purpose we call for multi-institutional collaborative work and involvement of clinical pharmacologists in multidisciplinary research consortia.
在 COVID-19 大流行背景下,几种药物已被重新用于治疗 COVID-19 感染的潜在候选药物。虽然最初的选择主要基于体外效力,但由于在选择用于 COVID-19 感染新适应症的剂量下体内药代动力学特性不理想,因此将其转化为有效的治疗方法可能具有挑战性。然而,现有的药代动力学和药代动力学-药效学研究存在严重的局限性,导致结论不可靠,尤其是在剂量优化方面。在本文中,我们建议强调这些局限性,并确定在 COVID 时代设计 PK 和 PK-PD 研究中需要解决的一些主要要求。应特别注意分析前和分析要求,并适当收集影响剂量-暴露关系的协变量(合并用药、使用特定器官支持技术和其他临床和临床前数据)。我们还提倡开发专门针对 COVID-19 患者的群体药代动力学和药代动力学-药效学模型,因为之前为其他疾病(SEL、疟疾、HIV)和临床情况(稳态、非 ICU 患者)开发的模型不能代表重症患者。因此,迫切需要针对 COVID-19 患者实施设计良好的 PK 和 PD 研究。为此,我们呼吁开展多机构合作,并让临床药理学家参与多学科研究联盟。