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Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia

BACKGROUND: COVID-19 results in persisting symptoms but there is little systematically collected data estimating recovery time following infection. METHODS: We followed 94% of all COVID-19 cases diagnosed in the Australian state of New South Wales between January and May 2020 using 3-4 weekly teleph...

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Autores principales: Liu, Bette, Jayasundara, Duleepa, Pye, Victoria, Dobbins, Timothy, Dore, Gregory J, Matthews, Gail, Kaldor, John, Spokes, Paula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225991/
https://www.ncbi.nlm.nih.gov/pubmed/34189493
http://dx.doi.org/10.1016/j.lanwpc.2021.100193
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author Liu, Bette
Jayasundara, Duleepa
Pye, Victoria
Dobbins, Timothy
Dore, Gregory J
Matthews, Gail
Kaldor, John
Spokes, Paula
author_facet Liu, Bette
Jayasundara, Duleepa
Pye, Victoria
Dobbins, Timothy
Dore, Gregory J
Matthews, Gail
Kaldor, John
Spokes, Paula
author_sort Liu, Bette
collection PubMed
description BACKGROUND: COVID-19 results in persisting symptoms but there is little systematically collected data estimating recovery time following infection. METHODS: We followed 94% of all COVID-19 cases diagnosed in the Australian state of New South Wales between January and May 2020 using 3-4 weekly telephone interviews and linkage to hospitalisation and death data to determine if they had recovered from COVID-19 based on symptom resolution. Proportional hazards models with competing risks were used to estimate time to recovery adjusted for age and gender. FINDINGS: In analyses 2904 cases were followed for recovery (median follow-up time 16 days, range 1-122, IQR 11-24).There were 2572 (88.6%) who reported resolution of symptoms (262/2572 were also hospitalised), 224 (7.8%) had not recovered at last contact (28/224 were also hospitalised), 51 (1.8%) died of COVID-19, and 57 (2.0%) were hospitalised without a documented recovery date. Of those followed, 20% recovered by 10 days, 60% at 20, 80% at 30, 91% at 60, 93% at 90 and 96% at 120 days. Compared to those aged 30-49 years, those 0-29 years were more likely to recover (aHR 1.22, 95%CI 1.10-1.34) while those aged 50-69 and 70+ years were less likely to recover (aHR respectively 0.74, 95%CI 0.67-0.81 and 0.63, 95%CI 0.56-0.71). Men were faster to recover than women (aHR 1.20, 95%CI 1.11-1.29) and those with pre-existing co-morbidities took longer to recover than those without (aHR 0.90, 95%CI 0.83-0.98). INTERPRETATION: In a setting where most cases of COVID-19 were ascertained and followed, 80% of those with COVID-19 recover within a month, but about 5% will continue to experience symptoms 3 months later. FUNDING: NSW Health Emergency Response Priority Research Projects
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spelling pubmed-82259912021-06-25 Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia Liu, Bette Jayasundara, Duleepa Pye, Victoria Dobbins, Timothy Dore, Gregory J Matthews, Gail Kaldor, John Spokes, Paula Lancet Reg Health West Pac Research Paper BACKGROUND: COVID-19 results in persisting symptoms but there is little systematically collected data estimating recovery time following infection. METHODS: We followed 94% of all COVID-19 cases diagnosed in the Australian state of New South Wales between January and May 2020 using 3-4 weekly telephone interviews and linkage to hospitalisation and death data to determine if they had recovered from COVID-19 based on symptom resolution. Proportional hazards models with competing risks were used to estimate time to recovery adjusted for age and gender. FINDINGS: In analyses 2904 cases were followed for recovery (median follow-up time 16 days, range 1-122, IQR 11-24).There were 2572 (88.6%) who reported resolution of symptoms (262/2572 were also hospitalised), 224 (7.8%) had not recovered at last contact (28/224 were also hospitalised), 51 (1.8%) died of COVID-19, and 57 (2.0%) were hospitalised without a documented recovery date. Of those followed, 20% recovered by 10 days, 60% at 20, 80% at 30, 91% at 60, 93% at 90 and 96% at 120 days. Compared to those aged 30-49 years, those 0-29 years were more likely to recover (aHR 1.22, 95%CI 1.10-1.34) while those aged 50-69 and 70+ years were less likely to recover (aHR respectively 0.74, 95%CI 0.67-0.81 and 0.63, 95%CI 0.56-0.71). Men were faster to recover than women (aHR 1.20, 95%CI 1.11-1.29) and those with pre-existing co-morbidities took longer to recover than those without (aHR 0.90, 95%CI 0.83-0.98). INTERPRETATION: In a setting where most cases of COVID-19 were ascertained and followed, 80% of those with COVID-19 recover within a month, but about 5% will continue to experience symptoms 3 months later. FUNDING: NSW Health Emergency Response Priority Research Projects Elsevier 2021-06-25 /pmc/articles/PMC8225991/ /pubmed/34189493 http://dx.doi.org/10.1016/j.lanwpc.2021.100193 Text en © 2021 The Author(s). Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Liu, Bette
Jayasundara, Duleepa
Pye, Victoria
Dobbins, Timothy
Dore, Gregory J
Matthews, Gail
Kaldor, John
Spokes, Paula
Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title_full Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title_fullStr Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title_full_unstemmed Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title_short Whole of population-based cohort study of recovery time from COVID-19 in New South Wales Australia
title_sort whole of population-based cohort study of recovery time from covid-19 in new south wales australia
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225991/
https://www.ncbi.nlm.nih.gov/pubmed/34189493
http://dx.doi.org/10.1016/j.lanwpc.2021.100193
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