Open access · US-GOV via ClinicalTrials.gov Clinical trial

Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients

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University of California, Los Angeles · 2022

Disabled macroautophagy Human Randomized controlled trial

Abstract

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.

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Provenance

Source: ClinicalTrials.gov
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Fetched: 2026-10-24 MST

Cite this

APA

Anonymous. (2022). Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients. <em>University of California, Los Angeles</em>. https://clinicaltrials.gov/study/NCT05471011

Vancouver

Anonymous. Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients. University of California, Los Angeles. 2022.

BibTeX

@misc{anon2022MultiD, title = {Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients}, author = {Anonymous}, journal = {University of California, Los Angeles}, year = {2022}, }