COVID-19 Outcome Prediction Algorithm

Running, not enrolling

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

In brief

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.

Key facts

Study ID

NCT05471011

Run by

University of California, Los Angeles

People needed

600

Starts

2022-08-08

Expected to finish

2026-05-31

Last updated by the study team

2026-04-24

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

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

You may not qualify if…

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

Where it is running

• 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

Full record on ClinicalTrials.gov

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