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BALCoS - Basel Long COVID Cohort Study and DiLCoS - Digital Long COVID Substudy
The Basel Long COVID Cohort Study (BALCoS) is a registry-based cohort study that focuses on the patients' present health status, symptoms, the course of these symptoms, and potential mechanisms involved. The project aims to investigate proposed mechanisms behind Post COVID-19 condition (PCC), including a) autoimmunity, b) chronic inflammation, c) genetics, d) coagulation disorders, and e) psychosocial factors. Patients in the cohort can also join the Digital Long COVID Study (DiLCoS), a single-arm, cohort-based proof-of-feasibility study that is part of the larger BALCoS. DiLCoS is a intervention substudy designed to evaluate whether doing exercises delivered via a smartphone app (referred as digital intervention) can help with PCC. The digital intervention is a 12-week program that includes different kinds of exercises like breathing exercises, relaxation techniques, and tips on managing fatigue and other symptoms. It also teaches patients how to monitor their activities and energy levels, and provides psychological exercises to cope with negative thoughts and pain. Patients in the cohort complete a set of assessments that include the collection of sociodemographic and clinical data, biomarkers, neurocognitive testing, psychometric questionnaires, and measures of physical performance, and provide consent that their data from routine clinical care can be used for the study.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
University Hospital Basel, Department of Psychosomatic Medicine
Basel, Switzerland
Start Date
April 20, 2023
Primary Completion Date
April 1, 2026
Completion Date
April 1, 2026
Last Updated
March 6, 2026
120
ESTIMATED participants
Digital intervention (DiLCoS)
OTHER
Data collection
OTHER
Lead Sponsor
University Hospital, Basel, Switzerland
Collaborators
Data Source & Attribution
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Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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