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COVID-19 Outcome Prediction Algorithm
COVID-19 Outcome Prediction Algorithm

NCT05471011

Active Not RecruitingN/A

Sponsor: University of California, Los Angeles

Conditions: COVID-19, Post Acute Sequelae of COVID-19, Long COVID, Organ Dysfunction Syndrome, Multiple, Frailty Syndrome

Interventions: Blood and nasal swab sampling

Countries: United States

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 overview

Sex: ALL

Age: 18 Years to —

Healthy volunteers: No

Study type: OBSERVATIONAL

Eligibility criteria
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
Locations (7)
  • Los Angeles, California, United States
  • Los Angeles, California, United States
  • Sylmar, California, United States
  • Torrance, California, United States
  • Decatur, Georgia, United States
  • The Bronx, New York, United States
  • Houston, Texas, United States