Improving predictions of recovery after cardiac arrest
Optimizing Recovery prediction after Cardiac Arrest (ORCA)
This study is working on new ways to help doctors predict how well patients will recover after a cardiac arrest and brain injury, using advanced technology to analyze a lot of medical data, so they can give better advice about care and recovery.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project ID | NIH-11042785 on NIH RePORTER |
What this research studies
This research focuses on enhancing the ability to predict recovery outcomes for patients who have experienced cardiac arrest and subsequent anoxic brain injury. By utilizing a large database of clinical and physiological data, including EEG features, the project aims to develop advanced analytical tools that can provide faster and more accurate prognostic information than current methods. The approach combines expertise in critical care, information science, and machine learning to transform vast amounts of clinical data into actionable insights for healthcare providers. This could lead to better-informed decisions regarding patient care and recovery expectations.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients who have been resuscitated from cardiac arrest and are experiencing anoxic brain injury or coma.
Not a fit: Patients who have not experienced cardiac arrest or those with other unrelated neurological conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the accuracy of recovery predictions for patients after cardiac arrest, leading to better treatment decisions and outcomes.
How similar studies have performed: Other research has shown promise in using machine learning and data analytics to improve prognostic predictions in critical care settings, indicating that this approach has potential for success.
Where this research is happening
Pittsburgh, United States
- University of Pittsburgh at Pittsburgh — Pittsburgh, United States (Active)
Researchers
- Principal investigator: Elmer, Jonathan — University of Pittsburgh at Pittsburgh
- Study coordinator: Elmer, Jonathan
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.