Learning from Post COVID-19 condition for epidemic preparedness: a variable catalogue for future Post-Acute Infection Syndromes.

Autor:	Górska A; Department of Diagnostics and Public Health, University of Verona, Verona, Italy., Canziani LM; Department of Diagnostics and Public Health, University of Verona, Verona, Italy., Rinaldi E; Berlin Institute of Health at Charité, Universitätsmedizin Berlin, 10117 Berlin, Germany., Pana ZD; Medical School, Basic and Clinical Studies Department, University of Nicosia, Nicosia, Cyprus., Beale S; UCL Institute of Health Informatics, University College London, London, UK., Bai F; Clinic of Infectious Diseases, San Paolo Hospital, ASST Santi Paolo e Carlo, University of Milan, Italy., Boxma-de Klerk BM; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands., de Bruijn S; Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands., Donà D; Department of Women's and Children's Health, Università degli Studi di Padova, Padova, Italy., Ekkelenkamp MB; Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands., Incardona F; EuResist Network GEIE, Rome, Italy., Mallon P; Centre for Experimental Pathogen Host Research, University College Dublin, Ireland., Marchetti GC; Clinic of Infectious Diseases, San Paolo Hospital, ASST Santi Paolo e Carlo, University of Milan, Italy; Department of Health Science, University of Milan, Italy., Puhan M; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland., Riva A; Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Milan, Italy., Simensen VC; Department of Vaccines and Immunisation, Division of Infectious Disease Control, Norwegian Institute of Public Health, Oslo, Norway., Vaillant M; Competence Centre for Methodology and Statistics, Department of Medical Informatics, Luxembourg Institute of Health, Luxembourg., van der Zalm MM; Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa., van Kuijk SMJ; Maastricht University Medical Centre+, Maastricht, The Netherlands., van Wingerden S; Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands., Judd A; MRC Clinical Trials Unit, University College London, United Kingdom; Fondazione Penta ETS, Padova, Italy., Tacconelli E; Department of Diagnostics and Public Health, University of Verona, Verona, Italy., Peñalvo JL; National Center for Epidemiology, Carlos III Health Institute (ISCIII), Madrid, Spain. Electronic address: jlpenalvo@isciii.es.
Jazyk:	angličtina
Zdroj:	Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases [Clin Microbiol Infect] 2024 Dec 09. Date of Electronic Publication: 2024 Dec 09.
DOI:	10.1016/j.cmi.2024.12.001
Abstrakt:	Scope: The emergence of Post-COVID-19 Condition (PCC) following 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 (CCB), a consortium of European-funded COVID-19 research projects, has reviewed data from PCC studies conducted by its members. This paper leverages the CCB'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. Competing Interests: Conflict of interest Judd A acknowledges institutional support from the European Union and EDCTP3. Mallon P declares institutional support in the form of educational grants from Gilead Sciences and ViiV Healthcare. van der Zalm MM is supported by a career development grant from the EDCTP2 program, which is funded by the European Union and the Fogarty International Center of the National Institutes of Health. (Copyright © 2024. Published by Elsevier Ltd.)
Databáze:	MEDLINE
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