[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100579563":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":25,"responsibleParty":39,"collaborators":10,"id":43,"slug":44,"hasResults":45,"nctId":46,"briefTitle":47,"officialTitle":48,"acronym":10,"eligibilityCriteria":49,"healthyVolunteers":45,"sex":50,"minAge":51,"maxAge":52,"enrollmentInfo":53,"targetDuration":10,"studyType":56,"phases":10,"briefSummary":57,"conditions":58,"keywords":60,"overallStatus":64,"whyStopped":10,"lastUpdateSubmitDate":65,"lastUpdatePostDateStruct":66,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":74},{"fullName":5,"class":6},"Nanjing Medical University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"OSA Comprehensive Assessment Group",null,"This 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.",[13],"Other: Clinical and Endotypic Assessmen",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"Clinical and Endotypic Assessmen","This 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.",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"Ding Ning, doctor","CONTACT","86-25-68136723","dr.ningding@live.cn",[26],{"facility":27,"status":10,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":10},"The First Affiliated Hospital of Nanjing Medical University","Nanjing","Jiangsu","210029","China","CN",{"type":34,"coordinates":35},"Point",[36,37],118.77778,32.06167,{"lat":37,"lon":36},{"type":40,"investigatorFullName":41,"investigatorTitle":42,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Ning Ding","Principal Investigator","100579563","precision-osa-therapy-based-on-phenotypes-and-endotypes-100579563",false,"NCT06825923","Precision OSA Therapy Based on Phenotypes and Endotypes","Precise Intervention of Obstructive Sleep Apnea Based on Phenotypic Characteristics and Endotypic Mechanisms","Inclusion Criteria:\n\n1. Patients aged between 18 and 80 years.\n2. Diagnosed with Obstructive Sleep Apnea (OSA)(apnea-hypopnea index≥5\u002Fh).\n3. First-time diagnosis, with no previous surgical interventions or CPAP treatment for OSA.\n4. Ability and willingness to provide informed consent for participation in the study.\n\nExclusion Criteria:\n\n1. History of severe stroke or cerebral hemorrhage, or presence of neurological or psychiatric conditions that could affect study results.\n2. Presence of active malignancies or other severe underlying diseases, such as severe liver or kidney dysfunction. Diagnosed with diabetes or other significant vascular diseases.\n3. Presence of severe chronic obstructive pulmonary disease (COPD), severe asthma, severe pulmonary hypertension, or heart failure caused by any condition.\n4. Pregnancy or having other conditions that make participation in this study unsuitable.\n5. Extremely debilitated patients or those with severe underlying conditions.","ALL","18 Years","80 Years",{"count":54,"type":55},200,"ESTIMATED","OBSERVATIONAL","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.",[59],"Obstructive Sleep Apnea",[59,61,62,63],"PALM","Phenotype","Endotype","NOT_YET_RECRUITING","2025-02-09",{"date":67,"type":68},"2025-02-13","ACTUAL",{"date":70,"type":55},"2025-07-01",{"date":72,"type":55},"2029-12-31",{"name":5,"class":6},1]