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COVID-19 Outcome Prediction Algorithm

NCT05471011 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2026-04-24

No results posted yet for this study

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.

Conditions

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

Interventions

OTHER

Blood and nasal swab sampling

Blood and nasal swab sampling

Sponsors & Collaborators

  • Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center

    collaborator OTHER

  • Olive View-UCLA Education & Research Institute

    collaborator OTHER

  • VA Greater Los Angeles Healthcare System

    collaborator FED

  • Michael E. DeBakey VA Medical Center

    collaborator FED

  • Atlanta VA Medical Center

    collaborator FED

  • Bronx VA Medical Center

    collaborator FED

  • University of California, Los Angeles

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-08
Primary Completion
2026-04-30
Completion
2026-05-31

Countries

  • United States

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05471011 on ClinicalTrials.gov