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, Yanay Gorelik, Blessing Gausi, Tomer Bernstine, Michael Edelstein

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalInternational Journal of Infectious Diseases
Volume134
DOIs
StatePublished - Sep 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s)

Keywords

  • COVID-19
  • Long COVID
  • Post-COVID condition
  • SARS-CoV-2

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