[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Xingui Dai\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":41},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":27,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":4},"100608202","construction-of-a-prognostic-model-for-severe-brain-injured-patients-based-on-integrated-metabolic-neurological-monitoring-100608202",false,"NCT07198490","Construction of a Prognostic Model for Severe Brain-Injured Patients Based on Integrated Metabolic-Neurological Monitoring","Construction of a Prognostic Model for Severe Brain-Injured Patients Based on Integrated Metabolic-Neurological Monitoring: A Prospective Observational Study","CPM-Brain","Inclusion Criteria:\n\n* Diagnosis of severe TBI, large-volume stroke, or HIE\n* Expected ICU stay \\>72 hours\n* Informed consent from legal surrogate\n\nExclusion Criteria:\n\n* Terminal organ failure\n* Pre-existing severe neurological disease\n* Skull defect preventing monitoring\n* Pregnancy or lactation","ALL","18 Years",{"count":20,"type":21},50,"ESTIMATED","8 Months","OBSERVATIONAL","This is a prospective, observational cohort study aimed at constructing a machine learning-based prognostic model for severe brain-injured patients. The study will synchronously collect continuous glucose monitoring (CGM), electroencephalography (EEG), near-infrared spectroscopy (fNIRS), transcranial Doppler (TCD), and serum neuronal injury biomarkers (NSE, S100β) within 72 hours post-injury. The goal is to investigate the correlation between glycemic variability (GV) and neurological function and to develop an integrated model for early prediction of 3-6 month neurological outcomes (GOSE score).",[26],"Brain Injuries",[28],"continuous glucose monitoring,Neurological Multimodal Monitoring,Brain Injury,Intensive Care Unit","NOT_YET_RECRUITING","2025-09-29",{"date":32,"type":33},"2025-09-30","ACTUAL",{"date":35,"type":21},"2025-10-01",{"date":37,"type":21},"2026-12-31",{"name":39,"class":40},"Xingui Dai","OTHER",""]