Understanding why some stroke patients don't recover despite successful treatment
Official title: Addressing the paradox of poor outcomes despite successful recanalization in stroke
Funded at University of Texas Hlth Sci Ctr Houston · NIH-11171579 · Data updated 2026-11-12
This study is looking into why some people with severe strokes don't recover well even after their blocked blood vessels are opened up, and it's for patients who have experienced this type of stroke; the researchers want to find out what factors affect recovery so they can improve treatment and help patients get better.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Hlth Sci Ctr Houston NIH-funded |
| Lab location | 1 site (Houston, United States) |
| Project start | August 18, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $511,597 |
| NIH project number | 5R01NS138765-02 |
| Project ID | NIH-11171579 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients who have experienced an acute ischemic stroke due to large vessel occlusion and have undergone endovascular stroke therapy.
✕Less likely to help
Patients who have not experienced a stroke or those with other types of strokes may not benefit from this research.
What this research studies
This research investigates why many patients with large vessel occlusions in acute ischemic stroke do not achieve good recovery even after successful recanalization. The team will create a comprehensive dataset that includes clinical and imaging data from multiple hospitals to analyze the relationship between infarct volume and patient outcomes. They aim to develop a new classification system for these patients and create a machine-learning tool to assist in clinical decision-making. By identifying factors that contribute to poor recovery, the research seeks to improve treatment strategies for affected patients.
Why it matters
Potential benefit: If successful, this research could lead to better treatment approaches for stroke patients, potentially improving recovery outcomes.
How similar studies have gone: Other research has shown promise in using machine learning and classification systems to improve patient outcomes in stroke care, indicating that this approach could be effective.
Where this research is happening
-
University of Texas Hlth Sci Ctr Houston
Houston, United States Active
Researchers
- Principal investigator: Sheth, Sunil — University of Texas Hlth Sci Ctr Houston
- Study coordinator: Sheth, Sunil
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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.