Predicting outcomes for COVID-19 patients
Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients
This study is trying to create a tool to predict how hospitalized COVID-19 patients, especially older adults and those with health issues, will recover in both the short and long term.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 600 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University of California, Los Angeles Academic / other |
| Locations | 7 sites (Los Angeles, California and 6 other locations) |
| Trial ID | NCT05471011 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop a predictive algorithm for short- and long-term outcomes in hospitalized COVID-19 patients, focusing on high-risk populations such as older adults and those with underlying health conditions. By collecting clinical and molecular data from patients, the study seeks to identify factors that contribute to adverse outcomes like frailty and organ dysfunction. The research will involve patients from both civilian and veteran populations in a major metropolitan area, utilizing advanced multiomics approaches to enhance prediction accuracy.
Who should consider this trial
Good fit: Ideal candidates include hospitalized adults aged 18 and older with symptomatic COVID-19 infection.
Not a fit: Patients who are asymptomatic or under the age of 18 will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could provide critical insights that improve patient management and outcomes for individuals affected by COVID-19.
How similar studies have performed: While there have been studies focusing on COVID-19 outcomes, this approach utilizing multiomics for prediction is relatively novel and untested.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Los Angeles, California and 6 other locations
- VA Greater Los Angeles Healthcare System — Los Angeles, California, United States (Recruiting)
- Ronald Reagan UCLA Medical Center — Los Angeles, California, United States (Recruiting)
- Olive View-UCLA Education & Research Institute — Sylmar, California, United States (Recruiting)
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center — Torrance, California, United States (Recruiting)
- Atlanta VA Medical Center — Decatur, Georgia, United States (Active_not_recruiting)
- Bronx VA Medical Center — Bronx, New York, United States (Active_not_recruiting)
- Michael E. DeBakey VA Medical Center — Houston, Texas, United States (Active_not_recruiting)
Study contacts
- Study coordinator: Mario C Deng, MD
- Email: mdeng@mednet.ucla.edu
- Phone: 3107532759
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.