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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.
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.
  • Ghossein-Doha C; Department of Cardiology, Maastricht UMC+, Maastricht, The Netherlands.
  • Wintjens MSJN; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
  • Janssen EBNJ; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.
  • Klein D; Intensive Care Medicine, Maastricht UMC+, Maastricht, The Netherlands.
  • Heemskerk SCM; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
  • Asselbergs FW; Department of Obstetrics and Gynaecology, Maastricht UMC+, Maastricht, The Netherlands.
  • Birnie E; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.
  • Bonsel GJ; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
  • van Bussel BCT; Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht UMC+, Maastricht, The Netherlands.
  • Cals JWL; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
  • Ten Cate H; Department of Cardiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Haagsma J; Institute of Cardiovascular Science, Faculty of Population Health Sciences, Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Hemmen B; Scientific Department, EuroQol Research Foundation, Rotterdam, The Netherlands.
  • van der Horst ICC; Department of Genetics, University Medical Centre Groningen, Groningen, The Netherlands.
  • Kietselaer BLJH; Scientific Department, EuroQol Research Foundation, Rotterdam, The Netherlands.
  • Klok FA; Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
  • de Kruif MD; Department of Intensive Care, Maastricht UMC+, Maastricht, The Netherlands.
  • Linschoten M; Department of Family Medicine, Maastricht University, Maastricht, The Netherlands.
  • van Santen S; Care and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
  • Vernooy K; Department of Biochemistry, Department of Internal Medicine, Thrombosis Expert Centre, Maastricht, The Netherlands.
  • Willems LH; Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.
  • Westerborg R; Department of Public Health, Erasmus MC, Rotterdam, The Netherlands.
  • Warle M; Care and Public Health Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.
  • van Kuijk SMJ; Department of Rehabilitation Medicine, Functioning, Participation & Rehabilitation, Maastricht University, Maastricht, The Netherlands.
BMJ Open ; 12(11): e065142, 2022 Nov 29.
Article in English | MEDLINE | ID: covidwho-2137779
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-065142

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: BMJ Open Year: 2022 Document Type: Article Affiliation country: Bmjopen-2022-065142