Automated system to classify treatments for obstructive sleep apnea
Developing a Treatment Clustering System for Obstructive Sleep Apnea Using Polysomnographic Physiological Signals
This study is testing a new automated system that uses artificial intelligence to group patients with obstructive sleep apnea by their specific causes to see if it can help doctors choose better treatments.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 150 (estimated) |
| Ages | 20 Years and up |
| Sex | All |
| Sponsor | National Cheng-Kung University Hospital Academic / other |
| Locations | 1 site (Tainan) |
| Trial ID | NCT06512779 on ClinicalTrials.gov |
What this trial studies
This study aims to develop an automated treatment clustering system using artificial intelligence to classify patients with obstructive sleep apnea (OSA) based on their underlying causes. By analyzing physiological sleep assessments from a retrospective polysomnography database, the system will categorize patients into groups based on anatomical factors, reduced muscle responsiveness, and other non-anatomical factors. The effectiveness of this system will be validated on new OSA patients undergoing various management strategies, including surgical interventions and CPAP therapy. The goal is to enhance clinicians' ability to predict treatment success rates and improve patient outcomes.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 20 years old diagnosed with obstructive sleep apnea.
Not a fit: Patients with a BMI of 32 or higher, central or mixed types of sleep apnea, or significant comorbidities may not benefit from this study.
Why it matters
Potential benefit: If successful, this system could lead to more personalized and effective treatment strategies for patients with obstructive sleep apnea.
How similar studies have performed: While there is limited research on automated treatment clustering for OSA, similar approaches in other conditions have shown promise, indicating potential for success.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * OSA patients * Aged over 20 years Exclusion Criteria: * BMI≧ 32 * Central or mixed types of sleep apnea * A history of malignancy or infection of the head and neck region and laryngeal trauma * Craniofacial malformation * Stroke * Neuromuscular disease * Severe cardiovascular disease * Active psychiatric disease * Structural abnormalities over the upper respiratory airway * Performed any operation or treatment over the neck before * Pregnancy
Where this trial is running
Tainan
- National Cheng Kung University Hospital — Tainan, Taiwan (Recruiting)
Study contacts
- Principal investigator: Ching-Hsia Hung, PhD — National Cheng Kung University
- Study coordinator: Jun-Hui Ong, MS
- Email: junhui.ong611@gmail.com
- Phone: +886-9-37839992
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.