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Learning from post-COVID-19 condition for epidemic preparedness: a variable catalogue for future post-acute infection
Anna Górska1, Lorenzo Maria Canziani1, Eugenia Rinaldi2
1Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Insights
Standardized data collection is crucial for managing future post-acute infection syndromes (PAIS) following epidemics. A new data catalogue will improve diagnosis, treatment, and preparedness for emerging infectious diseases.
Area of Science:
- Public Health
- Infectious Diseases
- Epidemiology
Background:
- Post-COVID-19 condition (PCC) highlights the need for better management of post-acute infection syndromes (PAIS).
- Lack of standardized data during COVID-19 hindered timely diagnosis and treatment of PCC.
- Preparedness for future epidemic-linked PAIS requires proactive data standardization.
Purpose of the Study:
- To propose a standardized catalogue of variables for collecting clinical and epidemiological data.
- To leverage lessons learned from the COVID-19 pandemic for future PAIS research.
- To facilitate the design of future observational studies and clinical trials for emerging infections.
Main Methods:
- Review of data from post-COVID-19 condition studies by European-funded COVID-19 research projects.
- Expertise from the Cohort Coordination Board utilized to develop the data catalogue.
- Lessons learned from the pandemic informed the proposed variable catalogue.
Main Results:
- A standardized catalogue of variables for PAIS research has been developed.
- The catalogue is informed by pandemic experiences and designed for immediate use.
- The proposed catalogue aims to improve data collection for emerging infections.
Conclusions:
- Early implementation of the PAIS data catalogue is essential for accelerating identification and management of PAIS.
- Standardized data collection enables precise syndrome definitions, expedited diagnostics, and optimized treatments.
- Harmonized protocols enhance preparedness for emerging infections and associated PAIS across global research efforts.
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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