Prevalence, pathophysiology, prediction and health-related quality of life of long COVID
| Autor: | Chahinda Ghossein-Doha, Marieke S J N Wintjens, Emma B N J Janssen, Dorthe Klein, Stella C M Heemskerk, Folkert W Asselbergs, Erwin Birnie, Gouke J Bonsel, Bas C T van Bussel, Jochen W L Cals, Hugo Ten Cate, Juanita Haagsma, Bena Hemmen, Iwan C C van der Horst, Bastiaan L J H Kietselaer, Frederikus A Klok, Martijn D de Kruif, Marijke Linschoten, Susanne van Santen, Kevin Vernooy, Loes H Willems, Rosa Westerborg, Michiel Warle, Sander M J van Kuijk |
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| Přispěvatelé: | Health Psychology Research (HPR), MUMC+: MA Med Staf Artsass Cardiologie (9), MUMC+: KIO Kemta (9), Cardiologie, RS: Carim - H01 Clinical atrial fibrillation, RS: CAPHRI - R5 - Optimising Patient Care, RS: CAPHRI - R2 - Creating Value-Based Health Care, Family Medicine, Interne Geneeskunde, MUMC+: MA Alg Interne Geneeskunde (9), RS: Carim - B04 Clinical thrombosis and Haemostasis, RS: CAPHRI - R3 - Functioning, Participating and Rehabilitation, Revalidatiegeneeskunde, MUMC+: MA Intensive Care (3), Intensive Care, RS: Carim - V04 Surgical intervention, MUMC+: MA Medische Staf IC (9), MUMC+: MA Cardiologie (3), RS: Carim - H06 Electro mechanics, Epidemiologie, Public Health |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Public health
Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] COVID-19 General Medicine Cohort Studies Post-Acute COVID-19 Syndrome All institutes and research themes of the Radboud University Medical Center SDG 3 - Good Health and Well-being Prevalence Quality of Life Humans EPIDEMIOLOGY Protocols & guidelines COVID-19/epidemiology Follow-Up Studies |
| Zdroj: | BMJ Open, 12, 11 BMJ Open, 12 BMJ Open, 12(11):e065142. BMJ PUBLISHING GROUP BMJ Open, 12(11):e065142. BMJ Publishing Group BMJ Open, 12(11). BMJ PUBLISHING GROUP |
| ISSN: | 2044-6055 |
| Popis: | IntroductionThe 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 analysisData 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 disseminationApproval 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 numberNCT05240742. |
| Databáze: | OpenAIRE |
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