Precision OSA Therapy Based on Phenotypes and Endotypes
- Sponsor
- Nanjing Medical University
- Study ID
- NCT06825923
- Status
- Not Yet Recruiting
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Conditions
- Obstructive Sleep Apnea
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - 80 Years
- Healthy Volunteers
- Not accepted
Interventions
- Clinical and Endotypic Assessmen — OTHERThis observational study involves a detailed clinical and endotypic assessment of patients diagnosed with Obstructive Sleep Apnea (OSA). Assessments include polysomnography (PSG) to measure sleep patterns and disturbances, drug-induced sleep endoscopy (DISE) to evaluate upper airway obstruction, and various biomarker analyses to characterize endotypic traits. The study aims to collect comprehensive phenotypic and endotypic data to develop predictive models for OSA patient characterization and management.
Study Details
Analyzing the phenotypic and endotypic characteristics of Sleep Apnea, along with DISE obstruction situations, is crucial for precise diagnosis and treatment. In this study, we aim to construct and apply a multidimensional predictive model based on four aspects: basic physiological characteristics of OSA, clinical phenotypes, mechanistic endotypes, and DISE obstruction levels. The study will begin by categorizing the clinical phenotypes; subsequently, it will quantify endotypic indicators based on PSG signal information and construct the PALM scale for Chinese individuals. Following this, a comprehensive clinical profile and a treatment efficacy prediction model for OSA patients will be built based on the results from the aforementioned multidimensional data.
Key Dates
- First listed
- Feb 13, 2025
- Start date
- Jul 1, 2025
- Status verified
- Feb 2025
- Primary completion
- Dec 31, 2027
- Completion
- Dec 31, 2029
Study Design
- Enrollment
- 200 participants (estimated)
Arms
- Arm: OSA Comprehensive Assessment GroupThis group comprises patients diagnosed with Obstructive Sleep Apnea (OSA). Participants will undergo a comprehensive assessment that includes baseline demographic data collection, clinical symptom evaluation, polysomnography (PSG), Drug-Induced Sleep Endoscopy (DISE), and various physiological measurements to identify specific phenotypic and endotypic traits associated with OSA. This holistic evaluation aims to facilitate detailed phenotyping and generate predictive models for personalized treatment approaches.
Primary Outcome Measure
Phenotype and Endotype Classification [ Time Frame: 12 months post-enrollment. ]
Central Contacts
- Ding Ning, doctor86-25-68136723
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