Predicting health outcomes for hospitalized COVID-19 patients
Multi-Dimensional Outcome Prediction Algorithm for Hospitalized COVID-19 Patients
This study is looking to create a smart tool that helps doctors predict how well hospitalized COVID-19 patients might do in the future by looking at different health signs and personal details, so they can better care for those who are at higher risk of serious problems.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10879163 on NIH RePORTER |
What this research studies
This research aims to develop a multi-dimensional algorithm that can predict health outcomes for hospitalized patients with COVID-19. By analyzing various biological markers and patient characteristics, the study seeks to identify those at higher risk for severe complications, such as organ dysfunction or death, within a year of infection. The approach involves collecting comprehensive data near the onset of symptoms to create a more accurate prediction model than existing tools. This could help healthcare providers make informed decisions about patient care and resource allocation.
Who could benefit from this research
Good fit: Ideal candidates for this research include hospitalized COVID-19 patients, particularly those who are older, male, or have underlying health conditions such as diabetes or obesity.
Not a fit: Patients who are not hospitalized or those with mild COVID-19 symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved prediction of health outcomes for COVID-19 patients, allowing for better-targeted interventions and care.
How similar studies have performed: Other research has shown promise in using multi-dimensional approaches to predict outcomes in various diseases, suggesting that this method could be effective for COVID-19 as well.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Deng, Mario C. — University of California Los Angeles
- Study coordinator: Deng, Mario C.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.