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Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study
INTRODUCTION: The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explo...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709810/ https://www.ncbi.nlm.nih.gov/pubmed/36446465 http://dx.doi.org/10.1136/bmjopen-2022-065142 |
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author | Ghossein-Doha, Chahinda Wintjens, Marieke S J N Janssen, Emma B N J Klein, Dorthe Heemskerk, Stella C M Asselbergs, Folkert W Birnie, Erwin Bonsel, Gouke J van Bussel, Bas C T Cals, Jochen W L Ten Cate, Hugo Haagsma, Juanita Hemmen, Bena van der Horst, Iwan C C Kietselaer, Bastiaan L J H Klok, Frederikus A de Kruif, Martijn D Linschoten, Marijke van Santen, Susanne Vernooy, Kevin Willems, Loes H Westerborg, Rosa Warle, Michiel van Kuijk, Sander M J |
author_facet | Ghossein-Doha, Chahinda Wintjens, Marieke S J N Janssen, Emma B N J Klein, Dorthe Heemskerk, Stella C M Asselbergs, Folkert W Birnie, Erwin Bonsel, Gouke J van Bussel, Bas C T Cals, Jochen W L Ten Cate, Hugo Haagsma, Juanita Hemmen, Bena van der Horst, Iwan C C Kietselaer, Bastiaan L J H Klok, Frederikus A de Kruif, Martijn D Linschoten, Marijke van Santen, Susanne Vernooy, Kevin Willems, Loes H Westerborg, Rosa Warle, Michiel van Kuijk, Sander M J |
author_sort | Ghossein-Doha, Chahinda |
collection | PubMed |
description | INTRODUCTION: The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients. METHODS AND ANALYSIS: Data from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of 24 months after acute infection. Next to the clinical characteristics measured in individual cohorts, the CORFU questionnaire on long COVID-19 outcomes and determinants will be administered digitally at 3, 6, 12, 18 and 24 months after the infection. The primary outcome is the prevalence of long COVID-19 symptoms up to 2 years after acute infection. Secondary outcomes are health-related quality of life (eg, EQ-5D), physical functioning, and the prevalence of thromboembolic complications, respiratory complications, cardiovascular diseases and endothelial dysfunction. A prediction model and a patient platform prototype will be developed. ETHICS AND DISSEMINATION: Approval was obtained from the medical research ethics committee of Maastricht University Medical Center+ and Maastricht University (METC 2021-2990) and local committees of the participating cohorts. The project is supported by ZonMW and EuroQol Research Foundation. Results will be published in open access peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05240742. |
format | Online Article Text |
id | pubmed-9709810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97098102022-11-30 Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study Ghossein-Doha, Chahinda Wintjens, Marieke S J N Janssen, Emma B N J Klein, Dorthe Heemskerk, Stella C M Asselbergs, Folkert W Birnie, Erwin Bonsel, Gouke J van Bussel, Bas C T Cals, Jochen W L Ten Cate, Hugo Haagsma, Juanita Hemmen, Bena van der Horst, Iwan C C Kietselaer, Bastiaan L J H Klok, Frederikus A de Kruif, Martijn D Linschoten, Marijke van Santen, Susanne Vernooy, Kevin Willems, Loes H Westerborg, Rosa Warle, Michiel van Kuijk, Sander M J BMJ Open Epidemiology INTRODUCTION: The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients. METHODS AND ANALYSIS: Data from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of 24 months after acute infection. Next to the clinical characteristics measured in individual cohorts, the CORFU questionnaire on long COVID-19 outcomes and determinants will be administered digitally at 3, 6, 12, 18 and 24 months after the infection. The primary outcome is the prevalence of long COVID-19 symptoms up to 2 years after acute infection. Secondary outcomes are health-related quality of life (eg, EQ-5D), physical functioning, and the prevalence of thromboembolic complications, respiratory complications, cardiovascular diseases and endothelial dysfunction. A prediction model and a patient platform prototype will be developed. ETHICS AND DISSEMINATION: Approval was obtained from the medical research ethics committee of Maastricht University Medical Center+ and Maastricht University (METC 2021-2990) and local committees of the participating cohorts. The project is supported by ZonMW and EuroQol Research Foundation. Results will be published in open access peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05240742. BMJ Publishing Group 2022-11-29 /pmc/articles/PMC9709810/ /pubmed/36446465 http://dx.doi.org/10.1136/bmjopen-2022-065142 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Ghossein-Doha, Chahinda Wintjens, Marieke S J N Janssen, Emma B N J Klein, Dorthe Heemskerk, Stella C M Asselbergs, Folkert W Birnie, Erwin Bonsel, Gouke J van Bussel, Bas C T Cals, Jochen W L Ten Cate, Hugo Haagsma, Juanita Hemmen, Bena van der Horst, Iwan C C Kietselaer, Bastiaan L J H Klok, Frederikus A de Kruif, Martijn D Linschoten, Marijke van Santen, Susanne Vernooy, Kevin Willems, Loes H Westerborg, Rosa Warle, Michiel van Kuijk, Sander M J Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title | Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title_full | Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title_fullStr | Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title_full_unstemmed | Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title_short | Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study |
title_sort | prevalence, pathophysiology, prediction and health-related quality of life of long covid: study protocol of the longitudinal multiple cohort corona follow up (corfu) study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709810/ https://www.ncbi.nlm.nih.gov/pubmed/36446465 http://dx.doi.org/10.1136/bmjopen-2022-065142 |
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