Understanding undiagnosed obstructive sleep apnea in primary care settings
Official title: Undiagnosed Obstructive Sleep Apnea in Primary Care Clinics
Funded at Ohio State University · NIH-10943154 · Data updated 2026-11-12
This study is looking into how often obstructive sleep apnea goes undiagnosed in primary care clinics, aiming to find out why it might be missed and to help doctors catch it more often, so patients can get the care they need.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ohio State University NIH-funded |
| Lab location | 1 site (Columbus, UNITED STATES) |
| Project start | August 15, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $740,271 |
| NIH project number | 1R01HL175579-01 |
| Project ID | NIH-10943154 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include adults who frequently visit primary care clinics and may be experiencing symptoms of obstructive sleep apnea.
✕Less likely to help
Patients who have already been diagnosed and are receiving treatment for obstructive sleep apnea may not benefit from this research.
What this research studies
This research investigates the prevalence of undiagnosed obstructive sleep apnea (OSA) in primary care clinics, where many patients receive their healthcare. It aims to identify how often OSA is overlooked by using objective diagnostic methods rather than relying solely on patient-reported symptoms. The study will also explore the factors that contribute to the underdiagnosis of OSA, including patient awareness, physician knowledge, and systemic barriers. By utilizing electronic health records and machine learning techniques, the research seeks to uncover undiagnosed cases and improve diagnosis rates.
Why it matters
Potential benefit: If successful, this research could lead to better identification and treatment of obstructive sleep apnea, improving patient health outcomes and reducing associated cardiovascular risks.
How similar studies have gone: Previous research has indicated that similar approaches using electronic health records and machine learning have been successful in identifying undiagnosed conditions.
Where this research is happening
-
Ohio State University
Columbus, United States Active
Researchers
- Principal investigator: Magalang, Ulysses J — Ohio State University
- Study coordinator: Magalang, Ulysses J
Related research
Other NIH-funded projects on the same topics.
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Undiagnosed Obstructive Sleep Apnea in Primary Care Clinics
A study in primary care clinics to find out how common undiagnosed obstructive sleep apnea is and who’s at risk, using existing electronic health records to spot cases.
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Finding hidden obstructive sleep apnea in primary care
This project uses electronic health records and machine learning to find people seen in primary care who likely have undiagnosed obstructive sleep apnea.
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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.
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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.
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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.
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.