Personalized prediction of pressure sores after spinal cord injury
Biomarkers for pressure injury risk following spinal cord injury: Development of a multi-scalar predictive model for personalized preventive health care
This project will use body measures, muscle fat levels, and genetic information to predict which people with spinal cord injury are most likely to develop pressure sores so prevention can be personalized.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Louis Stokes Cleveland VA Medical Center NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-11415415 on NIH RePORTER |
What this research studies
I would provide health data, muscle imaging, and maybe genetic samples so researchers can look at how muscle fat (intramuscular adipose tissue), behaviors, and DNA relate to pressure sore risk. The team will combine those measurements into a multi-level predictive model that aims to identify who is most likely to develop a pressure injury. The work builds on an existing model (BEIPIR) and adds genetics and detailed muscle composition to explain why some people develop problems while others do not. If you are a Veteran with spinal cord injury, this research may be offered through the Cleveland VA as part of ongoing efforts to prevent recurring pressure sores.
Who could benefit from this research
Good fit: Ideal candidates are people living with spinal cord injury—especially Veterans followed at the Cleveland VA—who are concerned about or at risk for pressure sores.
Not a fit: People without spinal cord injury or those whose pressure injuries are solely caused by unrelated acute trauma are unlikely to benefit from this specific research.
Why it matters
Potential benefit: If successful, this could help doctors and caregivers target prevention to the people most likely to get pressure injuries, reducing hospital stays and complications.
How similar studies have performed: Prior work from the BEIPIR team has shown that intramuscular fat links to pressure injury risk, but adding genetic predictors to a multi-scale model is a newer approach.
Where this research is happening
Cleveland, United States
- Louis Stokes Cleveland VA Medical Center — Cleveland, United States (Active)
Researchers
- Principal investigator: Bogie, Kath — Louis Stokes Cleveland VA Medical Center
- Study coordinator: Bogie, Kath
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.