[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100548920":3},{"organization":4,"armGroups":7,"interventions":7,"overallOfficials":8,"centralContacts":12,"locations":18,"responsibleParty":35,"collaborators":37,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":45,"acronym":7,"eligibilityCriteria":46,"healthyVolunteers":47,"sex":48,"minAge":49,"maxAge":50,"enrollmentInfo":51,"targetDuration":7,"studyType":54,"phases":7,"briefSummary":55,"conditions":56,"keywords":62,"overallStatus":21,"whyStopped":7,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":75},{"fullName":5,"class":6},"The Affiliated Hospital Of Guizhou Medical University","OTHER",null,[9],{"name":10,"affiliation":5,"role":11},"Li Yao","STUDY_CHAIR",[13],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":17},"Tingrui WANG","CONTACT","19117899885","W19117899885@163.com",[19],{"facility":20,"status":21,"city":22,"state":23,"zip":24,"country":25,"countryCode":26,"cosmosGeoPoint":27,"geoPoint":32,"contacts":33},"Affiliated Hospital of Guizhou Medical University","RECRUITING","Guiyang","Guizhou","550004","China","CN",{"type":28,"coordinates":29},"Point",[30,31],106.71667,26.58333,{"lat":31,"lon":30},[34],{"name":14,"role":15,"phone":16,"phoneExt":7,"email":17},{"type":36,"investigatorFullName":7,"investigatorTitle":7,"investigatorAffiliation":7,"oldNameTitle":7,"oldOrganization":7},"SPONSOR",[38],{"name":39,"class":40},"Chinese nursing association","UNKNOWN","100548920","machine-learning-based-longitudinal-study-of-post-icu-syndrome-development-trajectory-in-critically-ill-patients-and-construction-of-clinical-early-warning-models-a-research-protocol-for-longitudinal-study-100548920",false,"NCT06427265","Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study","Inclusion Criteria patients :\n\n* Length of stay in ICU ≥24h;\n* Age ≥18 years old;\n* Conscious when leaving ICU, communicating with investigators without barriers;\n* Informed consent. Family members：\n* One family member ≥18 years of age was selected for each patient;\n* Assume the main role of caring for patients and medical decision-making;\n* No history of mental illness or other serious organic diseases;\n* Informed consent and voluntary participation in this study.\n\nExclusion Criteria patients :\n\n* Have been in ICU for more than 24h within 3 months before this admission;\n* Transferred to another ICU;\n* Cognitive impairment existed before ICU admission (BDRS \\> 4 points);\n* Severe hearing impairment, dysarthria, etc., which cannot be followed up;\n* Unable to complete the questionnaire survey due to serious illness.\n\nFamily members:\n\n* Family members refuse to participate in the study due to their own reasons;\n* Severe hearing and language impairment, unable to cooperate with researchers.",true,"ALL","18 Years","100 Years",{"count":52,"type":53},840,"ESTIMATED","OBSERVATIONAL","This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.",[57,58,59,60,61],"Intensive Care Unit Syndrome","Prediction","Cognitive Impairment","Sleep Disorder","Memory Disorders",[63,64,65],"Post-icu syndrome","Prediction model","Development Trajectory","2025-05-26",{"date":68,"type":69},"2025-05-31","ACTUAL",{"date":71,"type":69},"2023-12-01",{"date":73,"type":53},"2026-06-01",{"name":5,"class":6},1]