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Meta-Analysis
. 2023 Sep:134:1-7.
doi: 10.1016/j.ijid.2023.05.003. Epub 2023 May 6.

Characterization of post-COVID syndromes by symptom cluster and time period up to 12 months post-infection: A systematic review and meta-analysis

Affiliations
Free article
Meta-Analysis

Characterization of post-COVID syndromes by symptom cluster and time period up to 12 months post-infection: A systematic review and meta-analysis

Paul Kuodi et al. Int J Infect Dis. 2023 Sep.
Free article

Abstract

Objectives: The objective of this study was to characterize post-COVID condition symptoms and symptom clusters, their duration, and prevalence.

Methods: We conducted a systematic review and random-effects meta-analysis of studies reporting post-COVID-19 symptoms and clusters, respectively. We searched MEDLINE (via PubMed), Scopus, Web of Science, Science Direct, Google Scholar, EBSCOhost, EMBASE, PsycINFO, Cochrane Library, and Mednar for literature reporting on the post-COVID condition up to August 2022.

Results: In the 76 included studies, we found that although most symptoms were reported less frequently 7-12 months after infection compared to earlier, over 20% of patients reported at least one post-COVID condition-compatible symptom. In the seven studies reporting post-COVID symptom clusters, neurological clustering was consistently identified, followed by cardiorespiratory and systemic/inflammatory.

Conclusion: Post-COVID symptom clustering provides direction for research into the etiology, diagnosis, and management of post-COVID conditions. Studies reporting post-COVID symptom clusters remain rare due to the focus on individual symptom reporting. Studies on post-COVID symptom clusters should replace individual symptom reporting to accelerate our understanding of this emerging public health issue.

Keywords: COVID-19; Long COVID; Post-COVID condition; SARS-CoV-2.

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Conflict of interest statement

Declarations of competing Interest The authors have no competing interests to declare.

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