Improving Obstructive Sleep Apnea subtyping using big patient data
Official title: Leveraging research and clinical cohorts to improve Obstructive Sleep Apnea subtyping
Funded at Brigham and Women's Hospital · NIH-11399072 · Data updated 2026-11-12
Aims to use large sets of sleep and health data from adults to create better ways to classify Obstructive Sleep Apnea and predict who benefits most from treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2025 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $850,483 |
| NIH project number | 5R01HL176714-02 |
| Project ID | NIH-11399072 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults 21 years and older with a diagnosis or suspicion of obstructive sleep apnea who can contribute data from cohorts or clinical samples.
✕Less likely to help
Individuals without sleep apnea or those unable to contribute data from the included cohorts or biobank.
What this research studies
This project pools data from major observational cohorts and a large clinical biobank to develop new, more informative metrics beyond the standard apnea index. Researchers will link sleep data with clinical outcomes, molecular markers, and symptoms to understand different OSA subtypes. The goal is to identify which patients are at higher risk for cardiovascular and other health problems and who is most likely to respond to therapy. The approach leverages existing resources and adds prospective data to refine classification and treatment decisions for adults with OSA.
Why it matters
Potential benefit: If successful, patients could receive more accurate diagnoses and personalized treatment plans for OSA, potentially reducing health risks and improving daytime function.
How similar studies have gone: Previous work has shown that subtype-informed approaches can improve understanding and management of sleep-disordered breathing, with ongoing evidence supporting data-driven phenotyping.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Redline, Susan S. — Brigham and Women's Hospital
- Study coordinator: Redline, Susan S.
Related research
Other NIH-funded projects on the same topics.
-
Mechanisms of sex-specific responses to sleep apnea therapies
A research project at NYU School of Medicine is exploring how men and women may respond differently to treatments for obstructive sleep apnea and related heart risk.
-
Deep learning to predict obstruction site and guide sleep apnea treatment
A patient-focused project uses snoring sounds and AI to predict where your airway collapses during sleep and to guide personalized treatments.
-
Personalized DISE-guided surgery for sleep apnea in children with Down syndrome
A personalized surgical approach guided by DISE sleep-endoscopy is being tested to better treat sleep apnea in children with Down syndrome who don’t always improve after standard surgery.
-
Biomarkers to understand obstructive sleep apnea using microRNAs
A study at the University of Pennsylvania will look for microRNA signs in the blood that reflect how bad sleep apnea is and how well CPAP therapy works for patients.
-
Personalized sleep apnea care using genetics and biomarkers
A patient-friendly look at a research program aiming to tailor sleep apnea care using genetics, biomarkers, and brain/body signals to improve prediction and prevention.
-
Night-to-night sleep-disordered breathing differences in women and men
A study to find better biomarkers for sleep apnea severity, especially in women, by monitoring people at home for a week and tracking daily mood and energy.
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.