NCT07254026

Brief Summary

This study aims to improve treatment strategies for Obstructive Sleep Apnea (OSA), a disorder characterized by recurrent upper airway collapse during sleep, resulting in reduced oxygenation, sleep fragmentation, and excessive daytime sleepiness. The objectives are twofold: to evaluate whether an artificial intelligence (AI)-based model can accurately predict the most effective treatment for individual patients, and to assess whether a mobile health application can enhance adherence to oropharyngeal rehabilitation (OPR) and improve therapeutic outcomes. The study will be conducted in two phases. In Phase I, a retrospective analysis will be performed using a large dataset of polysomnography (PSG) records obtained from the Sleep Center at National Cheng Kung University Hospital. Machine learning algorithms will be applied to identify predictive features that differentiate responders from non-responders across Continuous Positive Airway Pressure (CPAP), surgical, and OPR interventions. These findings will inform the development of a predictive treatment recommendation model. In Phase II, a prospective clinical trial will validate the predictive accuracy and clinical utility of the model. Patients newly diagnosed with OSA will be assigned to CPAP, surgery, or OPR interventions according to the model's recommendations, in combination with physician judgment and patient preference. Each intervention will last 12 weeks, followed by repeat PSG and clinical assessments. Within the OPR arm, participants will be further randomized to monitor adherence via an exercise diary or a smartphone application equipped with a pressure sensor and facial motion recognition technology, enabling real-time feedback and remote monitoring. This trial is expected to determine whether AI can provide clinically reliable treatment recommendations and whether digital telerehabilitation can improve adherence and outcomes, thereby advancing precision medicine in OSA management.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for not_applicable

Timeline
44mo left

Started Oct 2025

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress13%
Oct 2025Dec 2029

Study Start

First participant enrolled

October 15, 2025

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

November 19, 2025

Completed
9 days until next milestone

First Posted

Study publicly available on registry

November 28, 2025

Completed
4.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2029

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2029

Last Updated

November 28, 2025

Status Verified

October 1, 2025

Enrollment Period

4.2 years

First QC Date

November 19, 2025

Last Update Submit

November 19, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • Apnea-Hypopnea Index

    The apnea-hypopnea index will be obtained from the overnight Polysomnography (PSG) study. PSG will be performed in the sleep center of National Cheng Kung University Hospital. Less than 5 events/hour indicates normal; AHI between 5-14 events/hour indicates mild Obstructive Sleep Apnea(OSA); AHI between 15-30 events/hour indicates moderate OSA; and AHI more than 30 events/hour indicates severe OSA.

    Baseline and 12 weeks post intervention

Secondary Outcomes (10)

  • Daytime Sleepiness Level

    Baseline and 12 weeks post intervention

  • Sleep Quality

    Baseline and 12 weeks post intervention

  • Pharyngeal Airway Volume

    Baseline and 12 weeks post intervention

  • Cross Section Area on the Tip of Epiglottis

    Baseline and 12 weeks post intervention

  • Anterior to Posterior Distance on the Tip of the Epiglottis

    Baseline and 12 weeks post intervention

  • +5 more secondary outcomes

Study Arms (4)

Surgical

EXPERIMENTAL

Surgery for OSA

Procedure: Surgery

Continuous positive airway pressure

EXPERIMENTAL

Receive continuous positive airway pressure

Device: Continuous positive airway pressure

Oropharyngeal rehabilitation with diary

EXPERIMENTAL

Receive oropharyngeal telerehabilitation training over three months

Other: Oropharyngeal Exercise with diary

Oropharyngeal rehabilitation with smartphone application

EXPERIMENTAL

Receive oropharyngeal telerehabilitation training incorporated with a smartphone application (Adaptive Sensor-Based Motion Tracking, ASMT system, which consisted of a pressure sensor and facial motion recognition technology) for over three months

Other: Oropharyngeal Exercise with smartphone application

Interventions

SurgeryPROCEDURE

Including septomeatoplasty, uvulopalatopharyngoplasty (UPPP), or/and tongue base reduction surgery.

Surgical

Continuous positive airway pressure, 1-5 days a week for three months.

Continuous positive airway pressure

Oropharyngeal exercise conducted via the telerehabilitation method. Participants are required to attend online supervised sessions of exercises 1-5 days a week for three months. Participants are required to fill out the exercise diary upon completion of the training each day.

Oropharyngeal rehabilitation with diary

Oropharyngeal exercise conducted via the telerehabilitation method. Participants are required to attend online supervised sessions of exercises 1-5 days a week for three months. In addition to attending the weekly supervised telerehabilitation sessions online, these participants will independently perform the exercises using the smartphone application incorporated with ASMT one to three times per week, with each session lasting approximately 45-60 minutes.

Oropharyngeal rehabilitation with smartphone application

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • years old and above
  • Newly diagnosed with mild to severe pure obstructive sleep apnea based on polysomnography

You may not qualify if:

  • Severe allergic rhinitis
  • Sinusitis with nasal polyps
  • Body Mass Index (BMI) \> 31
  • Alcohol or drug abuse within the past year
  • Pregnancy
  • Severe obstructive or restrictive pulmonary diseases
  • High-risk cardiovascular diseases during exercise (e.g., angina, myocardial infarction, heart failure, valvular heart disease)
  • History of central or peripheral neurological disorders that interfere with exercise prescription
  • Musculoskeletal or psychological disorders that interfere with exercise prescription
  • Other non-respiratory sleep disorders
  • Sleep disorders with concomitant central sleep apnea

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

National Cheng Kung University Hospital

Tainan, 704, Taiwan

RECRUITING

MeSH Terms

Conditions

Sleep Apnea, Obstructive

Interventions

Surgical Procedures, OperativeContinuous Positive Airway Pressure

Condition Hierarchy (Ancestors)

Sleep Apnea SyndromesApneaRespiration DisordersRespiratory Tract DiseasesSleep Disorders, IntrinsicDyssomniasSleep Wake DisordersNervous System Diseases

Intervention Hierarchy (Ancestors)

Positive-Pressure RespirationRespiration, ArtificialAirway ManagementTherapeuticsRespiratory Therapy

Study Officials

  • Ching-Hsia Hung, PhD

    National Cheng Kung University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

November 19, 2025

First Posted

November 28, 2025

Study Start

October 15, 2025

Primary Completion (Estimated)

December 31, 2029

Study Completion (Estimated)

December 31, 2029

Last Updated

November 28, 2025

Record last verified: 2025-10

Data Sharing

IPD Sharing
Will not share

Locations