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Characteristics and predictors of acute and chronic post-COVID syndrome: a systematic review and meta-analysis

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Title: Characteristics and predictors of acute and chronic post-COVID syndrome: a systematic review and meta-analysis
Authors: Iqbal, F
Lam, K
Sounderajah, V
Clarke, J
Ashrafian, H
Darzi, A
Item Type: Journal Article
Abstract: Background: A significant proportion of individuals experience lingering and debilitating symptoms following acute COVID-19 infection. The National Institute for Health and Care Excellence (NICE) have coined the persistent cluster of symptoms as post-COVID syndrome. This has been further sub-categorised into acute post-COVID syndrome for symptoms persisting three weeks beyond initial infection and chronic post-COVID syndrome for symptoms persisting beyond twelve weeks. The aim of this review was to detail the prevalence of clinical features and identify potential predictors for acute and chronic post-COVID syndrome. Methods: A systematic literature search, with no language restrictions, was performed to identify studies detailing characteristics and outcomes related to survivorship of post-COVID syndrome. The last search was performed on 6 March 2021 and all pre-dating published articles included. A means of proportion meta-analysis was performed to quantify characteristics of acute and chronic post-COVID syndrome. Study quality was assessed with a specific risk of bias tool. PROSPERO Registration: CRD42020222855 Findings: A total of 43 studies met the eligibility criteria; of which, 38 allowed for meta-analysis. Fatigue and dyspnoea were the most prevalent symptoms in acute post-COVID (0·37 and 0·35) and fatigue and sleep disturbance in chronic post-COVID syndrome (0·48 and 0·44) post-COVID syndrome, respectively. The available evidence is generally of poor quality, with considerable risk of bias, and are of observational design. Interpretation: In conclusion, this review highlights that flaws in data capture and interpretation, noted in the uncertainty within our meta-analysis, affect the applicability of current knowledge. Policy makers and researchers must focus on understanding the impact of this condition on individuals and society with appropriate funding initiatives and global collaborative research.
Issue Date: 1-Jun-2021
Date of Acceptance: 26-Apr-2021
URI: http://hdl.handle.net/10044/1/88014
DOI: 10.1016/j.eclinm.2021.100899
ISSN: 2589-5370
Publisher: Elsevier
Journal / Book Title: EClinicalMedicine
Volume: 36
Copyright Statement: © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: COVID-19
Coronavirus
Long covid
Post covid syndrome
SARS-CoV 2
Systematic review
Publication Status: Published
Article Number: ARTN 100899
Online Publication Date: 2021-05-24
Appears in Collections:Department of Surgery and Cancer
Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Medicine
Institute of Global Health Innovation
Faculty of Natural Sciences



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