Predicting kidney injury after surgery using genes and health records
Official title: Predicting Postoperative Acute Kidney Injury through Integration of Genetics and Electronic Health Records
Funded at University of Michigan at Ann Arbor · NIH-11384726 · Data updated 2026-11-12
A doctor-led project uses genetic information and your medical records to flag people who might develop acute kidney injury after surgery.
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 start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $167,400 |
| NIH project number | 5K08DK131346-05 |
| Project ID | NIH-11384726 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults undergoing non-cardiac surgery who have access to perioperative data and genetic information may be considered.
✕Less likely to help
Patients without data contributing contexts or those not undergoing surgery may not directly benefit.
What this research studies
This project aims to combine genetic data and electronic health records to predict which patients are at higher risk for postoperative acute kidney injury (poAKI). It provides the researcher with time to gain skills in bioinformatics, data science, and advanced statistics to build reliable risk predictions. Researchers at the University of Michigan, collaborating with MPOG, will analyze perioperative data from many institutions to identify markers associated with poAKI.
Why it matters
Potential benefit: If successful, this work could help doctors identify high-risk patients before surgery and tailor care to prevent kidney injury.
How similar studies have gone: Previous studies have shown promise in using data-driven methods to predict poAKI, but this project aims to enhance accuracy with genetics.
Where this research is happening
-
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
Related research
Other NIH-funded projects on the same topics.
-
SEAK Alliance: Improving Care for AKI Patients in the Southeast
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-
AKI-related delirium after heart surgery
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Better ways to identify types of sudden kidney injury in U.S. Veterans
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-
Neuroimmune control of kidney injury using noninvasive ultrasound
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Aims to block how polymyxin damages the kidney so it can be used more safely to treat hard-to-kill infections.
-
Using smart computer predictions to prevent kidney injury after heart surgery
A machine-learning approach uses routinely collected hospital data to predict who might develop acute kidney injury after heart surgery, so clinicians can act early.
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.