期刊
CLINICAL MICROBIOLOGY AND INFECTION
卷 27, 期 7, 页码 987-992出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.cmi.2021.04.003
关键词
Convalescent plasma; Coronavirus disease 2019; Neutralizing antibodies; Pharmacodynamics; Stoichiometry
This study focuses on separating study design variables that could affect the clinical outcome of COVID-19 convalescent plasma therapy. Neglecting variables such as pretransfusion antibody testing in recipients, dose adjustments, and antibody affinity measurements has impacted the outcomes of the majority of clinical trials to date. Understanding and addressing these variables is crucial for the design of future CCP clinical trials to improve clinical outcomes and reduce risks of immune evasion.
Background: Coronavirus disease 2019 (COVID-19) convalescent plasma (CCP) is being extensively investigated as a treatment, with mixed results to date. Overall, there has been a generalized lack of appropriateness in prescriptions, which, in the field of transfusion medicine, is termed patient-blood management. Objectives: We aimed to separate study design variables that could affect clinical outcome after CCP therapy. We focus here on variables such as pretransfusion antibody testing in recipients, dose adjust-ments and antibody affinity measurements. Sources: We searched PubMed and preprint servers for relevant preclinical and clinical studies discus-sing each of these variables in the field of CCP therapy. Content: We show evidence that neglecting those variables has affected the outcomes of the vast ma-jority of CCP clinical trials to date. Implications: A better understanding of such variables will improve the design of the next generation of CCP clinical trials. This will likely lead to better clinical outcomes and will minimize risks of immune evasion from subneutralizing doses of neutralizing antibodies. Daniele Focosi, Clin Microbiol Infect 2021;27:987 (c) 2021 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据