Open Actively Recruiting

COVID-19 Outcome Prediction Algorithm

About

Brief 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.

Study Type
Observational

Eligibility

Gender
All
Healthy Volunteers
No
Minimum Age
18 Years
Maximum Age
N/A

Inclusion Criteria:

  • Symptomatic COVID-19 infection with hospital admission
  • Age 18 and above
  • Informed consent

Exclusion Criteria:

  • Absence of symptomatic COVID-19 infection with hospital admission
  • Age 17 or below
  • No informed consent

Join this Trial

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Study Stats
Protocol No.
21-000608
Category
Cardiology
Other
Contact
GALYNA BONDAR
Location
  • UCLA Westwood
For Providers
NCT No.
NCT05471011
For detailed technical eligibility, visit ClinicalTrials.gov.