Precision OSA Therapy Based on Phenotypes and Endotypes
Key facts
- Where
- Nanjing, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Source: NCT06825923, who can take part
Where in China
- The First Affiliated Hospital of Nanjing Medical UniversityNanjing, ChinaContact: Ding Ning, doctorNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Nanjing Medical University
- Trial code
- NCT06825923
- Record updated
- 13 February 2025
- Original description
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.Read full original descriptionShow less
Precise Intervention of Obstructive Sleep Apnea Based on Phenotypic Characteristics and Endotypic Mechanisms
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.
Inclusion: Patients aged between 18 and 80 years; Diagnosed with Obstructive Sleep Apnea (OSA)(apnea-hypopnea index≥5/h); First-time diagnosis, with no previous surgical interventions or CPAP treatment for OSA; Ability and willingness to provide informed consent for participation in the study.
Exclusion: History of severe stroke or cerebral hemorrhage, or presence of neurological or psychiatric conditions that could affect study results; Presence of active malignancies or other severe underlying diseases, such as severe liver or kidney dysfunction. Diagnosed with diabetes or other significant vascular diseases; Presence of severe chronic obstructive pulmonary disease (COPD), severe asthma, severe pulmonary hypertension, or heart failure caused by any condition; Pregnancy or having other conditions that make participation in this study unsuitable; Extremely debilitated patients or those with severe underlying conditions.