Post-Acute COVID-19 Syndrome Clinical Trial
Official title:
Solve Together: A Data Collection Platform for the Collection of Patient and Control Health Information to Support Future Research That Will Accelerate Understanding of the Causes of and Possible Treatments for ME/CFS and Other Chronic Diseases, Including Post-viral Illnesses
NCT number | NCT04806620 |
Other study ID # | 1 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 5, 2023 |
Est. completion date | July 1, 2025 |
Solve Together is a platform designed to collect clinical data about post-infectious diseases, including ME/CFS and Long Covid. This data is made available to researchers and will be used to identify participants eligible for clinical studies. The platform also empowers patients to make reports for their doctors, connect medical records and/or a health-tracking wearable device, and identify their unique symptoms and health patterns.
Status | Recruiting |
Enrollment | 10000 |
Est. completion date | July 1, 2025 |
Est. primary completion date | July 1, 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Patients with ME/CFS, - Patients with Long Covid - Those without ME/CFS or Long Covid |
Country | Name | City | State |
---|---|---|---|
United States | Solve ME/CFS Initiative | Los Angeles | California |
Lead Sponsor | Collaborator |
---|---|
Solve ME/CFS Initiative |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Electronic Heath Record Linkage | Link EHR data to patient-reported outcomes in order to better identify subgroups of ME/CFS and Long Covid | 36 months | |
Other | Clinical Study Participation | Use the Solve Together Platform to identfy and invite eligible ME/CFSa nd Long Covid patients and controls ot participate in clinical studies with academic, CRO and pharmaceutical partners. | 36 months | |
Primary | Phenotypic data collection | Collect a large, well-characterized longitudinal dataset to understand causes and identify treatments for ME/CFS and long-COVID. | 36 months | |
Primary | Subtyping | Use the patient reported outcomes to identify ME/CFS and Long Covid disease subtypes. | 36 months | |
Primary | Passive data collection | Collect data from wearables that allow us to track step counts, heart rate variability and other indicators without the burden of participant data entry. This is a new feature to the registry expected to launch in 2023. | 36 months | |
Secondary | Demographics | Record basic demographic information of our Registry population including: age, race, ethnicity, income, education, employment, marital status. Demographic information is recorded at baseline and updated every 12 months. | 36 months | |
Secondary | Comorbitities | Catalogue common comorbidities in our registry population. Participants provide information on diagnosed conditions, age of onset, and whether the condition is still active. Their conditions list can be updated over time. | 36 months | |
Secondary | Quality of Life and Functional Status | Participants fill out the Short Form 36 Quality of Life survey (0-100) and a version of the Karnofsky Performance Scale modified (max of 100) for self-report over time. | 36 months | |
Secondary | Symptoms | We want to catalogue the common symptoms of ME/CFS and long COVID and analyze the data for symptom-based phenotypes. We administer a survey to assess the frequency and severity of symptoms over time and provide access to a mobile app so participants can log data on their symptoms as often as daily. | 36 months |