COVID-19 Outcome Prediction Algorithm
Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients
University of California, Los Angeles
600 participants
Aug 8, 2022
OBSERVATIONAL
Conditions
Summary
Severe acute respiratory syndrome coronavirus 2-mediated coronavirus disease (COVID-19) is an evolutionarily unprecedented natural experiment that causes major changes to the host immune system. We propose to develop a test that accurately predicts short- and long-term (within one-year) outcomes in hospitalized COVID-19 patients broadly reflecting US demographics who are at increased risk of adverse outcomes from COVID-19 using both clinical and molecular data. We will enroll patients from a hospitalized civilian population in one of the country's largest metropolitan areas and a representative National Veteran's population.
Eligibility
Inclusion Criteria3
- Symptomatic COVID-19 infection with hospital admission
- Age 18 and above
- Informed consent
Exclusion Criteria3
- Absence of symptomatic COVID-19 infection with hospital admission
- Age 17 or below
- No informed consent
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
Blood and nasal swab sampling
Locations(7)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT05471011