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Persistence of COVID-19 symptoms beyond 3 months and the delayed return to the usual state of health in Saudi Arabia: A cross-sectional study
A substantial number of COVID-19 survivors describe ongoing symptoms long after the acute phase. This so-called post-COVID-19 syndrome or long COVID occurs irrespective of initial disease severity. OBJECTIVES: This cross-sectional study aims to describe and characterise the prevalence of persistent...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548451/ https://www.ncbi.nlm.nih.gov/pubmed/36226231 http://dx.doi.org/10.1177/20503121221129918 |
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author | Alkwai, Hend M Khalifa, Amany M Ahmed, Ahmed M Alnajib, Alfatih M Alshammari, Khaznah A Alrashidi, Muslima M Ahmed, Hussain G |
author_facet | Alkwai, Hend M Khalifa, Amany M Ahmed, Ahmed M Alnajib, Alfatih M Alshammari, Khaznah A Alrashidi, Muslima M Ahmed, Hussain G |
author_sort | Alkwai, Hend M |
collection | PubMed |
description | A substantial number of COVID-19 survivors describe ongoing symptoms long after the acute phase. This so-called post-COVID-19 syndrome or long COVID occurs irrespective of initial disease severity. OBJECTIVES: This cross-sectional study aims to describe and characterise the prevalence of persistent COVID-19 symptoms beyond three months and to evaluate the risk factors for the delayed return to the usual state of health. METHODS: An electronic survey was developed, piloted, and conducted during the first wave of the COVID-19 pandemic. The survey consisted of questions exploring socio-demographic data, comorbidities, COVID-19 disease (diagnosis, presenting symptoms, management, and persistent symptoms), and the return to the usual state of health. Participants were users of social media platforms. We received results from 746 respondents. One hundred thirty-six responses were excluded due to a self-diagnosis of COVID-19. Respondents reporting a COVID-19 diagnosis 3 months or more prior to the study (N = 213) were included in the analysis. Predictors of the delayed return to the usual state of health were identified by logistic regression. RESULTS: Three months or more after a COVID-19 diagnosis, almost half of the respondents, 109 (51.2%), had residual symptoms. The five most prevalent persistent symptoms were fatigue (13.6%), altered sense of smell (12.7%), muscle aches (10.3%), headache (9.9%), and body aches (8.5%). When questioned regarding the return to baseline health, 152 (71.4%) answered in the affirmative. The total number of chronic medical conditions was determined as a statistically significant predictor for the delayed return to the usual state of health. CONCLUSION: Three months or more after acute COVID-19 infection, 5 out of 10 survivors experienced persistent symptoms, and 3 out of 10 reported a delayed return to baseline health. Considering the overall burden of COVID-19 disease, this can pose health and socio-economic challenges. Therefore, health systems need support in managing long COVID and improving long-term COVID-19 outcomes. |
format | Online Article Text |
id | pubmed-9548451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-95484512022-10-11 Persistence of COVID-19 symptoms beyond 3 months and the delayed return to the usual state of health in Saudi Arabia: A cross-sectional study Alkwai, Hend M Khalifa, Amany M Ahmed, Ahmed M Alnajib, Alfatih M Alshammari, Khaznah A Alrashidi, Muslima M Ahmed, Hussain G SAGE Open Med Epidemiology of infectious diseases A substantial number of COVID-19 survivors describe ongoing symptoms long after the acute phase. This so-called post-COVID-19 syndrome or long COVID occurs irrespective of initial disease severity. OBJECTIVES: This cross-sectional study aims to describe and characterise the prevalence of persistent COVID-19 symptoms beyond three months and to evaluate the risk factors for the delayed return to the usual state of health. METHODS: An electronic survey was developed, piloted, and conducted during the first wave of the COVID-19 pandemic. The survey consisted of questions exploring socio-demographic data, comorbidities, COVID-19 disease (diagnosis, presenting symptoms, management, and persistent symptoms), and the return to the usual state of health. Participants were users of social media platforms. We received results from 746 respondents. One hundred thirty-six responses were excluded due to a self-diagnosis of COVID-19. Respondents reporting a COVID-19 diagnosis 3 months or more prior to the study (N = 213) were included in the analysis. Predictors of the delayed return to the usual state of health were identified by logistic regression. RESULTS: Three months or more after a COVID-19 diagnosis, almost half of the respondents, 109 (51.2%), had residual symptoms. The five most prevalent persistent symptoms were fatigue (13.6%), altered sense of smell (12.7%), muscle aches (10.3%), headache (9.9%), and body aches (8.5%). When questioned regarding the return to baseline health, 152 (71.4%) answered in the affirmative. The total number of chronic medical conditions was determined as a statistically significant predictor for the delayed return to the usual state of health. CONCLUSION: Three months or more after acute COVID-19 infection, 5 out of 10 survivors experienced persistent symptoms, and 3 out of 10 reported a delayed return to baseline health. Considering the overall burden of COVID-19 disease, this can pose health and socio-economic challenges. Therefore, health systems need support in managing long COVID and improving long-term COVID-19 outcomes. SAGE Publications 2022-10-08 /pmc/articles/PMC9548451/ /pubmed/36226231 http://dx.doi.org/10.1177/20503121221129918 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Epidemiology of infectious diseases Alkwai, Hend M Khalifa, Amany M Ahmed, Ahmed M Alnajib, Alfatih M Alshammari, Khaznah A Alrashidi, Muslima M Ahmed, Hussain G Persistence of COVID-19 symptoms beyond 3 months and the delayed return to the usual state of health in Saudi Arabia: A cross-sectional study |
title | Persistence of COVID-19 symptoms beyond 3 months and the delayed
return to the usual state of health in Saudi Arabia: A cross-sectional
study |
title_full | Persistence of COVID-19 symptoms beyond 3 months and the delayed
return to the usual state of health in Saudi Arabia: A cross-sectional
study |
title_fullStr | Persistence of COVID-19 symptoms beyond 3 months and the delayed
return to the usual state of health in Saudi Arabia: A cross-sectional
study |
title_full_unstemmed | Persistence of COVID-19 symptoms beyond 3 months and the delayed
return to the usual state of health in Saudi Arabia: A cross-sectional
study |
title_short | Persistence of COVID-19 symptoms beyond 3 months and the delayed
return to the usual state of health in Saudi Arabia: A cross-sectional
study |
title_sort | persistence of covid-19 symptoms beyond 3 months and the delayed
return to the usual state of health in saudi arabia: a cross-sectional
study |
topic | Epidemiology of infectious diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9548451/ https://www.ncbi.nlm.nih.gov/pubmed/36226231 http://dx.doi.org/10.1177/20503121221129918 |
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