Precision Health and Smart Telerehabilitation in OSA

NCT ID: NCT07254026

Last Updated: 2025-11-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

NA

Total Enrollment

300 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-10-15

Study Completion Date

2029-12-31

Brief Summary

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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.

Detailed Description

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This study is designed to improve treatment strategies for Obstructive Sleep Apnea (OSA), a disorder characterized by reduced oxygenation and recurrent sleep disturbances. The research has two primary objectives: first, to evaluate whether an artificial intelligence (AI)-based model can accurately predict the most effective treatment for individual patients; and second, to assess whether a mobile health application can facilitate oropharyngeal exercise training, thereby enhancing adherence and therapeutic outcomes.

The study will be conducted in two phases. In Phase I, researchers will analyze a large dataset of polysomnography (PSG) records obtained from the Sleep Center at National Cheng Kung University Hospital. Machine learning methods will be applied to identify predictive patterns that distinguish responders from non-responders across treatments such as Continuous Positive Airway Pressure (CPAP), surgical intervention, and oropharyngeal rehabilitation (OPR).

In Phase II, a prospective clinical trial will be implemented. Patients newly diagnosed with OSA will be allocated to CPAP, surgical, or OPR interventions (with either an exercise diary or a smartphone application) according to the AI-generated treatment recommendations, supplemented by physician judgment and patient preference. Each intervention will last 12 weeks, after which repeat PSG and clinical evaluations will be conducted to assess treatment efficacy.

Participants in the CPAP arm will undergo 12 weeks of nightly CPAP use. Participants in the surgical group will receive operative treatment for OSA. Those assigned to the OPR arm will complete 12 weeks of telerehabilitation training focused on oropharyngeal exercises. Within the OPR group, participants will be further divided into two subgroups: one will record adherence using an exercise diary, while the other will train with a smartphone application integrated with a pressure sensor and facial motion recognition technology. This system will provide real-time feedback, record adherence, and transmit performance data to a secure cloud platform, enabling remote monitoring and clinician-guided adjustments.

The study aims to determine whether AI can deliver clinically reliable, personalized treatment recommendations and whether app-based telerehabilitation can improve adherence and treatment outcomes. The anticipated results are expected to advance precision medicine approaches in OSA management and enhance both patient care and healthcare efficiency.

Conditions

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Obstructive Sleep Apnea

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Surgical

Surgery for OSA

Group Type EXPERIMENTAL

Surgery

Intervention Type PROCEDURE

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

Continuous positive airway pressure

Receive continuous positive airway pressure

Group Type EXPERIMENTAL

Continuous positive airway pressure

Intervention Type DEVICE

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

Oropharyngeal rehabilitation with diary

Receive oropharyngeal telerehabilitation training over three months

Group Type EXPERIMENTAL

Oropharyngeal Exercise with diary

Intervention Type OTHER

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 smartphone application

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

Group Type EXPERIMENTAL

Oropharyngeal Exercise with smartphone application

Intervention Type OTHER

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.

Interventions

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Surgery

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

Intervention Type PROCEDURE

Continuous positive airway pressure

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

Intervention Type DEVICE

Oropharyngeal Exercise 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. Participants are required to fill out the exercise diary upon completion of the training each day.

Intervention Type OTHER

Oropharyngeal Exercise with smartphone application

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

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

Exclusion Criteria

* 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
Minimum Eligible Age

20 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Cheng-Kung University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ching-Hsia Hung, PhD

Role: PRINCIPAL_INVESTIGATOR

National Cheng Kung University

Locations

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National Cheng Kung University Hospital

Tainan, , Taiwan

Site Status RECRUITING

Countries

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Taiwan

Central Contacts

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Jun-Hui Ong, MS

Role: CONTACT

+886-9-37839992

Ching-Hsia Hung, PhD

Role: CONTACT

+886-6-2353535 ext. 5939

Facility Contacts

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Ching-Hsia Hung, PhD

Role: primary

+886-6-2353535 ext. 5939

Other Identifiers

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B-BR-114-020

Identifier Type: -

Identifier Source: org_study_id

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