Predicting kidney injury after surgery using genetics and health records
Predicting Postoperative Acute Kidney Injury through Integration of Genetics and Electronic Health Records
This study is looking at how we can use genetic information along with health records to help doctors figure out which patients might be at risk for kidney problems after surgery, so they can provide better care and improve recovery.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-10907475 on NIH RePORTER |
What this research studies
This research investigates how to predict the risk of acute kidney injury (AKI) in patients undergoing surgery by integrating genetic information with electronic health records. The approach involves analyzing data from a large consortium of anesthesiology and surgical departments to identify patients who may be at higher risk for developing AKI postoperatively. By utilizing advanced bioinformatics and data science techniques, the research aims to develop algorithms that can help clinicians make informed decisions before surgery. This could lead to better patient outcomes and tailored care strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients scheduled for non-cardiac surgical procedures who may have genetic predispositions to kidney injury.
Not a fit: Patients who are not undergoing surgery or those with pre-existing severe kidney disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the incidence of postoperative acute kidney injury, improving recovery and survival rates for patients undergoing surgery.
How similar studies have performed: Previous research has shown promise in using genetic and electronic health record data to predict health outcomes, suggesting that this approach could be effective.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Douville, Nicholas J — University of Michigan at Ann Arbor
- Study coordinator: Douville, Nicholas J
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.