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 explor...
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| Format: | Article |
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BMJ Publishing Group
2022-11-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/11/e065142.full |
| _version_ | 1798015921877417984 |
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| author | Erwin Birnie Jochen W L Cals Folkert W Asselbergs Kevin Vernooy Iwan C C van der Horst Frederikus A Klok Martijn D de Kruif Hugo ten Cate Chahinda Ghossein-Doha Susanne van Santen Bas C T van Bussel Sander M J van Kuijk Gouke J Bonsel Juanita Haagsma Marijke Linschoten Bena Hemmen Marieke S J N Wintjens Emma B N J Janssen Dorthe Klein Stella C M Heemskerk Bastiaan L J H Kietselaer Loes H Willems Rosa Westerborg Michiel Warle |
| author_facet | Erwin Birnie Jochen W L Cals Folkert W Asselbergs Kevin Vernooy Iwan C C van der Horst Frederikus A Klok Martijn D de Kruif Hugo ten Cate Chahinda Ghossein-Doha Susanne van Santen Bas C T van Bussel Sander M J van Kuijk Gouke J Bonsel Juanita Haagsma Marijke Linschoten Bena Hemmen Marieke S J N Wintjens Emma B N J Janssen Dorthe Klein Stella C M Heemskerk Bastiaan L J H Kietselaer Loes H Willems Rosa Westerborg Michiel Warle |
| author_sort | Erwin Birnie |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T15:42:29Z |
| format | Article |
| id | doaj.art-4a9fcac7240744dfa06e840086dfecde |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-04-11T15:42:29Z |
| publishDate | 2022-11-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-4a9fcac7240744dfa06e840086dfecde2022-12-22T04:15:44ZengBMJ Publishing GroupBMJ Open2044-60552022-11-01121110.1136/bmjopen-2022-065142Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) studyErwin Birnie0Jochen W L Cals1Folkert W Asselbergs2Kevin Vernooy3Iwan C C van der Horst4Frederikus A Klok5Martijn D de Kruif6Hugo ten Cate7Chahinda Ghossein-Doha8Susanne van Santen9Bas C T van Bussel10Sander M J van Kuijk11Gouke J Bonsel12Juanita Haagsma13Marijke Linschoten14Bena Hemmen15Marieke S J N Wintjens16Emma B N J Janssen17Dorthe Klein18Stella C M Heemskerk19Bastiaan L J H Kietselaer20Loes H Willems21Rosa Westerborg22Michiel Warle23Department of Statistics and Education, Franciscus Gasthuis en Vlietland, Rotterdam, The Netherlandsgeneral practitioner trainee and researcherInstitute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UKCardiology, Maastricht Universitair Medisch Centrum+, Maastricht, NetherlandsDepartment of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The NetherlandsThrombosis and Hemostasis, LUMC, Leiden, The NetherlandsIntensive Care, Zuyderland Medical Centre Heerlen, Heerlen, Limburg, The NetherlandsCardiovascular Research Institute Maastricht (CARIM), Maastricht Universitair Medisch Centrum+, Maastricht, The NetherlandsDepartment of Intensive Care, Maastricht University Medical Center+, Maastricht, The NetherlandsDepartment of Intensice Care, Maastricht Universitair Medisch Centrum+, Maastricht, The NetherlandsDepartment of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The NetherlandsClinical Epidemiology and Medical Technology Assessment, Maastricht Universitair Medisch Centrum+, Maastricht, The NetherlandsDepartment of Public Health, Erasmus Medical Centre, the NetherlandsDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlandsmedical doctor and doctoral candidateRehabilitation Medicine, Adelante, Hoensbroek, The NetherlandsDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The NetherlandsCardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The NetherlandsDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The NetherlandsDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The NetherlandsDepartment of Cardiology, Zuyderland Medical Centre Heerlen, Heerlen, The NetherlandsDepartment of Surgery, Radboudumc Radboud Institute for Health Sciences, Nijmegen, The NetherlandsDepartment of Pulmonology, Zuyderland Medical Centre Heerlen, Heerlen, The NetherlandsDepartment of Surgery, Radboudumc Radboud Institute for Health Sciences, Nijmegen, The NetherlandsIntroduction 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.https://bmjopen.bmj.com/content/12/11/e065142.full |
| spellingShingle | Erwin Birnie Jochen W L Cals Folkert W Asselbergs Kevin Vernooy Iwan C C van der Horst Frederikus A Klok Martijn D de Kruif Hugo ten Cate Chahinda Ghossein-Doha Susanne van Santen Bas C T van Bussel Sander M J van Kuijk Gouke J Bonsel Juanita Haagsma Marijke Linschoten Bena Hemmen Marieke S J N Wintjens Emma B N J Janssen Dorthe Klein Stella C M Heemskerk Bastiaan L J H Kietselaer Loes H Willems Rosa Westerborg Michiel Warle Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study BMJ Open |
| 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 |
| url | https://bmjopen.bmj.com/content/12/11/e065142.full |
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