Using machine learning to predict disease progression and survival in patients with severe limb ischemia.
Official title: Machine learning-based staging system to predict chronic limb-threatening ischemia disease progression and survival: A secondary analysis of the BEST-CLI trial data
Funded at Univ of North Carolina Chapel Hill · NIH-11001221 · Data updated 2026-11-12
This study is working on a smart system that helps doctors understand how serious chronic limb-threatening ischemia (CLTI) is for patients and how it changes over time, so they can give the best treatment possible and improve health outcomes.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project start | December 15, 2023 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| Award (this year) | $116,625 |
| NIH project number | 5R21HL172091-02 |
| Project ID | NIH-11001221 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults diagnosed with chronic limb-threatening ischemia who are undergoing treatment for this condition.
✕Less likely to help
Patients who do not have chronic limb-threatening ischemia or those who are not receiving treatment for this condition may not benefit from this research.
What this research studies
This research aims to develop a machine learning-based system to assess the severity and progression of chronic limb-threatening ischemia (CLTI) in patients. By analyzing data from the BEST-CLI trial, the study will create a comprehensive staging system that evaluates individual disease burden and mortality risk at diagnosis and throughout treatment. This approach seeks to improve patient outcomes by tailoring treatment strategies based on predicted disease progression and survival rates. Patients will be monitored for their response to various interventions, including surgical and medical therapies.
Why it matters
Potential benefit: If successful, this research could lead to more personalized treatment plans that significantly improve survival rates and quality of life for patients with CLTI.
How similar studies have gone: Previous studies have shown promise in using machine learning for predicting outcomes in various medical conditions, suggesting potential success for this novel approach in CLTI.
Where this research is happening
-
Univ of North Carolina Chapel Hill
Chapel Hill, United States Active
Researchers
- Principal investigator: Mcginigle, Katharine L — Univ of North Carolina Chapel Hill
- Study coordinator: Mcginigle, Katharine L
Related research
Other NIH-funded projects on the same topics.
-
Proteomics and precision treatment for severe limb-threatening PAD (CLTI)
A patient-facing look at using blood protein data to predict outcomes and guide safer, more effective treatment for people with the most severe peripheral artery disease.
-
Tailored treatment paths for people with severe limb-threatening leg artery disease
This grant aims to use advanced analytics to create personalized treatment sequences for adults with chronic limb-threatening ischemia to improve survival and limb preservation.
-
Improving Chronic Limb-Threatening Ischemia in the U.S.
A nationwide study aims to understand why some people with severe leg artery disease progress to limb-threatening conditions and amputation, with an emphasis on Black adults and other communities.
-
Fatty scarring in severe leg ischemia
Researchers are seeing whether changing a cell signal called Hedgehog can reduce fat and scar tissue in calf muscles and help people with severe poor blood flow to the leg regain better blood flow and muscle function.
-
Using stem cells to improve blood flow in patients with severe leg ischemia
This study is testing a new way to help veterans with chronic limb threatening ischemia, a serious condition that can lead to losing a limb, by using special cells to improve blood flow and heal damaged blood vessels.
-
Investigating how fatty fibrosis affects severe limb ischemia
This study is looking at how fatty fibrosis affects people with chronic limb threatening ischemia (CLTI), a condition that causes poor blood flow and can lead to severe pain or even amputation, to find new ways to improve blood flow and muscle function in those struggling with this issue.
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.