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COVID-19 Outcome Prediction Algorithm
Sponsor: University of California, Los Angeles
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.
Official title: Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
600
Start Date
2022-08-08
Completion Date
2026-05-31
Last Updated
2023-05-11
Healthy Volunteers
No
Conditions
Interventions
Blood and nasal swab sampling
Blood and nasal swab sampling
Locations (7)
VA Greater Los Angeles Healthcare System
Los Angeles, California, United States
Ronald Reagan UCLA Medical Center
Los Angeles, California, United States
Olive View-UCLA Education & Research Institute
Sylmar, California, United States
Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
Torrance, California, United States
Atlanta VA Medical Center
Decatur, Georgia, United States
Bronx VA Medical Center
The Bronx, New York, United States
Michael E. DeBakey VA Medical Center
Houston, Texas, United States