Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection syndromes.

IF 10.9 1区 医学 Q1 INFECTIOUS DISEASES Clinical Microbiology and Infection Pub Date : 2024-12-09 DOI:10.1016/j.cmi.2024.12.001
Anna Górska, Lorenzo Maria Canziani, Eugenia Rinaldi, Zoi D Pana, Sarah Beale, Francesca Bai, Bianca M Boxma-de Klerk, Simeon de Bruijn, Daniele Donà, Miquel B Ekkelenkamp, Francesca Incardona, Patrick Mallon, Giulia C Marchetti, Milo Puhan, Agostino Riva, Victoria C Simensen, Michel Vaillant, Marieke M van der Zalm, Sander M J van Kuijk, Sophie van Wingerden, Ali Judd, Evelina Tacconelli, José L Peñalvo
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Abstract

Scope: The emergence of post-COVID-19 condition (PCC) after SARS-CoV-2 infection underscores the critical need for preparedness in addressing future post-acute infection syndromes (PAIS), particularly those linked to epidemic outbreaks. The lack of standardized clinical and epidemiological data during the COVID-19 pandemic has significantly hindered timely diagnosis and effective treatment of PCC, highlighting the necessity of pre-emptively standardizing data collection in clinical studies to better define and manage future PAIS. In response, the Cohort Coordination Board, a consortium of European-funded COVID-19 research projects, has reviewed data from PCC studies conducted by its members. This paper leverages the Cohort Coordination Board's expertise to propose a standardized catalogue of variables, informed by the lessons learned during the pandemic, intended for immediate use in the design of future observational studies and clinical trials for emerging infections of epidemic potential.

Recommendations: The early implementation of standardized data collection, facilitated by the PAIS data catalogue, is essential for accelerating the identification and management of PAIS in future epidemics. This approach will enable more precise syndrome definitions, expedite diagnostic processes, and optimize treatment strategies, while also supporting long-term follow-up of affected individuals. The availability of harmonized data collection protocols will enhance preparedness across European and international cohort studies, and trials enabling a prompt and coordinated response, as well as more efficient resource allocation, in the event of emerging infections and associated PAIS.

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从COVID-19后的情况中学习流行病防范:未来急性感染后综合征的可变目录。
范围:SARS-CoV-2感染后出现的covid -19后病症(PCC)强调了在应对未来急性感染后综合征(PAIS)方面做好准备的迫切需要,特别是那些与流行病暴发有关的综合征。COVID-19大流行期间缺乏标准化的临床和流行病学数据,严重阻碍了PCC的及时诊断和有效治疗,突出了在临床研究中预先规范数据收集的必要性,以更好地定义和管理未来的PAIS。作为回应,欧洲资助的COVID-19研究项目联盟队列协调委员会(CCB)审查了其成员进行的PCC研究的数据。本文利用CCB的专业知识,根据大流行期间的经验教训,提出了一个标准化的变量目录,旨在立即用于设计未来针对具有流行潜力的新发感染的观察性研究和临床试验。建议:在PAIS数据目录的推动下,尽早实施标准化数据收集,对于在今后的流行病中加快查明和管理PAIS至关重要。这种方法将使更精确的综合征定义,加快诊断过程,优化治疗策略,同时也支持受影响个体的长期随访。统一的数据收集方案的可用性将加强欧洲和国际队列研究和试验的准备工作,以便在出现新发感染和相关PAIS时能够迅速和协调地作出反应,并更有效地分配资源。
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来源期刊
CiteScore
25.30
自引率
2.10%
发文量
441
审稿时长
2-4 weeks
期刊介绍: Clinical Microbiology and Infection (CMI) is a monthly journal published by the European Society of Clinical Microbiology and Infectious Diseases. It focuses on peer-reviewed papers covering basic and applied research in microbiology, infectious diseases, virology, parasitology, immunology, and epidemiology as they relate to therapy and diagnostics.
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