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Characterising long COVID: a living systematic review
BACKGROUND: While it is now apparent clinical sequelae (long COVID) may persist after acute COVID-19, their nature, frequency and aetiology are poorly characterised. This study aims to regularly synthesise evidence on long COVID characteristics, to help inform clinical management, rehabilitation str...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478580/ https://www.ncbi.nlm.nih.gov/pubmed/34580069 http://dx.doi.org/10.1136/bmjgh-2021-005427 |
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author | Michelen, Melina Manoharan, Lakshmi Elkheir, Natalie Cheng, Vincent Dagens, Andrew Hastie, Claire O'Hara, Margaret Suett, Jake Dahmash, Dania Bugaeva, Polina Rigby, Ishmeala Munblit, Daniel Harriss, Eli Burls, Amanda Foote, Carole Scott, Janet Carson, Gail Olliaro, Piero Sigfrid, Louise Stavropoulou, Charitini |
author_facet | Michelen, Melina Manoharan, Lakshmi Elkheir, Natalie Cheng, Vincent Dagens, Andrew Hastie, Claire O'Hara, Margaret Suett, Jake Dahmash, Dania Bugaeva, Polina Rigby, Ishmeala Munblit, Daniel Harriss, Eli Burls, Amanda Foote, Carole Scott, Janet Carson, Gail Olliaro, Piero Sigfrid, Louise Stavropoulou, Charitini |
author_sort | Michelen, Melina |
collection | PubMed |
description | BACKGROUND: While it is now apparent clinical sequelae (long COVID) may persist after acute COVID-19, their nature, frequency and aetiology are poorly characterised. This study aims to regularly synthesise evidence on long COVID characteristics, to help inform clinical management, rehabilitation strategies and interventional studies to improve long-term outcomes. METHODS: A living systematic review. Medline, CINAHL (EBSCO), Global Health (Ovid), WHO Global Research on COVID-19 database, LitCovid and Google Scholar were searched till 17 March 2021. Studies including at least 100 people with confirmed or clinically suspected COVID-19 at 12 weeks or more post onset were included. Risk of bias was assessed using the tool produced by Hoy et al. Results were analysed using descriptive statistics and meta-analyses to estimate prevalence. RESULTS: A total of 39 studies were included: 32 cohort, 6 cross-sectional and 1 case–control. Most showed high or moderate risk of bias. None were set in low-income countries and few included children. Studies reported on 10 951 people (48% female) in 12 countries. Most included previously hospitalised people (78%, 8520/10 951). The longest mean follow-up time was 221.7 (SD: 10.9) days post COVID-19 onset. Over 60 physical and psychological signs and symptoms with wide prevalence were reported, most commonly weakness (41%; 95% CI 25% to 59%), general malaise (33%; 95% CI 15% to 57%), fatigue (31%; 95% CI 24% to 39%), concentration impairment (26%; 95% CI 21% to 32%) and breathlessness (25%; 95% CI 18% to 34%). 37% (95% CI 18% to 60%) of patients reported reduced quality of life; 26% (10/39) of studies presented evidence of reduced pulmonary function. CONCLUSION: Long COVID is a complex condition with prolonged heterogeneous symptoms. The nature of studies precludes a precise case definition or risk evaluation. There is an urgent need for prospective, robust, standardised, controlled studies into aetiology, risk factors and biomarkers to characterise long COVID in different at-risk populations and settings. PROSPERO REGISTRATION NUMBER: CRD42020211131. |
format | Online Article Text |
id | pubmed-8478580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-84785802021-09-29 Characterising long COVID: a living systematic review Michelen, Melina Manoharan, Lakshmi Elkheir, Natalie Cheng, Vincent Dagens, Andrew Hastie, Claire O'Hara, Margaret Suett, Jake Dahmash, Dania Bugaeva, Polina Rigby, Ishmeala Munblit, Daniel Harriss, Eli Burls, Amanda Foote, Carole Scott, Janet Carson, Gail Olliaro, Piero Sigfrid, Louise Stavropoulou, Charitini BMJ Glob Health Original Research BACKGROUND: While it is now apparent clinical sequelae (long COVID) may persist after acute COVID-19, their nature, frequency and aetiology are poorly characterised. This study aims to regularly synthesise evidence on long COVID characteristics, to help inform clinical management, rehabilitation strategies and interventional studies to improve long-term outcomes. METHODS: A living systematic review. Medline, CINAHL (EBSCO), Global Health (Ovid), WHO Global Research on COVID-19 database, LitCovid and Google Scholar were searched till 17 March 2021. Studies including at least 100 people with confirmed or clinically suspected COVID-19 at 12 weeks or more post onset were included. Risk of bias was assessed using the tool produced by Hoy et al. Results were analysed using descriptive statistics and meta-analyses to estimate prevalence. RESULTS: A total of 39 studies were included: 32 cohort, 6 cross-sectional and 1 case–control. Most showed high or moderate risk of bias. None were set in low-income countries and few included children. Studies reported on 10 951 people (48% female) in 12 countries. Most included previously hospitalised people (78%, 8520/10 951). The longest mean follow-up time was 221.7 (SD: 10.9) days post COVID-19 onset. Over 60 physical and psychological signs and symptoms with wide prevalence were reported, most commonly weakness (41%; 95% CI 25% to 59%), general malaise (33%; 95% CI 15% to 57%), fatigue (31%; 95% CI 24% to 39%), concentration impairment (26%; 95% CI 21% to 32%) and breathlessness (25%; 95% CI 18% to 34%). 37% (95% CI 18% to 60%) of patients reported reduced quality of life; 26% (10/39) of studies presented evidence of reduced pulmonary function. CONCLUSION: Long COVID is a complex condition with prolonged heterogeneous symptoms. The nature of studies precludes a precise case definition or risk evaluation. There is an urgent need for prospective, robust, standardised, controlled studies into aetiology, risk factors and biomarkers to characterise long COVID in different at-risk populations and settings. PROSPERO REGISTRATION NUMBER: CRD42020211131. BMJ Publishing Group 2021-09-27 /pmc/articles/PMC8478580/ /pubmed/34580069 http://dx.doi.org/10.1136/bmjgh-2021-005427 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Michelen, Melina Manoharan, Lakshmi Elkheir, Natalie Cheng, Vincent Dagens, Andrew Hastie, Claire O'Hara, Margaret Suett, Jake Dahmash, Dania Bugaeva, Polina Rigby, Ishmeala Munblit, Daniel Harriss, Eli Burls, Amanda Foote, Carole Scott, Janet Carson, Gail Olliaro, Piero Sigfrid, Louise Stavropoulou, Charitini Characterising long COVID: a living systematic review |
title | Characterising long COVID: a living systematic review |
title_full | Characterising long COVID: a living systematic review |
title_fullStr | Characterising long COVID: a living systematic review |
title_full_unstemmed | Characterising long COVID: a living systematic review |
title_short | Characterising long COVID: a living systematic review |
title_sort | characterising long covid: a living systematic review |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478580/ https://www.ncbi.nlm.nih.gov/pubmed/34580069 http://dx.doi.org/10.1136/bmjgh-2021-005427 |
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