Finding clearer types of obstructive sleep apnea using large sleep-study data
Towards Precise Phenotype Discovery of Obstructive Sleep Apnea with aData-Inclusive Multi-Study Analysis Using the National Sleep Research Resource(NSRR)
Using combined data from many sleep studies to find different types of obstructive sleep apnea so treatments can be better matched to the right people.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Arizona State University-Tempe Campus NIH-funded |
| Lab location | 1 site (Scottsdale, United States) |
| Project ID | NIH-11249374 on NIH RePORTER |
What this research studies
Researchers will combine existing sleep-study records and clinical data from the National Sleep Research Resource to look for distinct OSA subgroups using machine learning and clustering methods. They will link those subgroups to heart and blood vessel outcomes to see which patterns predict higher risk. The team will focus on making the groups clinically understandable so doctors can use them in practice. The work uses multi-center data rather than recruiting new patients directly.
Who could benefit from this research
Good fit: Adults diagnosed with obstructive sleep apnea, especially those with cardiovascular disease or with prior sleep study data, are the most relevant group for these findings.
Not a fit: People without OSA, children, or those whose condition isn't represented in large sleep-study datasets may not see direct benefit from this project.
Why it matters
Potential benefit: If successful, this could help doctors match OSA treatments to the right patients and better predict cardiovascular risk.
How similar studies have performed: Previous work has used machine learning to define OSA phenotypes with promising links to outcomes, but broader multi-study confirmation and clinically interpretable groups remain limited.
Where this research is happening
Scottsdale, United States
- Arizona State University-Tempe Campus — Scottsdale, United States (Active)
Researchers
- Principal investigator: Si, Bing — Arizona State University-Tempe Campus
- Study coordinator: Si, Bing
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.