[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"risk-prediction-model\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:risk-prediction-model":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":31,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100617141","elderly-patients-undergoing-surgery-during-perioperative-period-100617141",false,"NCT07314762","Elderly Patients Undergoing Surgery During Perioperative Period","Elderly Patients Undergoing Surgery During Perioperative Period: a Prospective Cohort Study","Inclusion Criteria:\n\n1\\) Surgical patients aged 65 or above or non-surgical subjects aged 65 or above. 2) Agree to participate in this study and sign the informed consent form.\n\nExclusion Criteria:\n\n1）Refused to participate in the study.",true,"ALL","65 Years",{"count":20,"type":21},1200,"ESTIMATED","1 Year","OBSERVATIONAL","The elderly patients have poorer overall conditions and have lower tolerance to trauma, anesthesia, and surgery. Therefore, the incidence of postoperative complications is relatively higher. In non-cardiac surgeries, approximately 20% of elderly patients experience postoperative complications, and the incidence of postoperative delirium (POD) is 23.8%. This may lead to prolonged hospital stays, increased hospital costs, and affect prognosis and even mortality. The investigators plan to conduct a prospective cohort study by systematically collecting biological samples and clinical information of elderly patients during the perioperative period to explore the possible risk factors and pathogenesis of postoperative delirium and postoperative complications in elderly surgical patients, and to construct a risk prediction model for postoperative complications.",[26,27,28,29,30],"Postoperative Complications","Elderly","Postoperative Delirium (POD)","Risk Prediction Model","Pathogenesis",[32,33,34],"postoperative delirium","elderly","Cohort study","RECRUITING","2026-03-26",{"date":38,"type":39},"2026-04-01","ACTUAL",{"date":41,"type":39},"2023-12-30",{"date":43,"type":21},"2030-12-30",{"name":45,"class":46},"Second Affiliated Hospital of Wenzhou Medical University","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":4,"eligibilityCriteria":54,"healthyVolunteers":11,"sex":17,"minAge":55,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":58,"phases":59,"briefSummary":61,"conditions":62,"keywords":4,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":4},"100629821","ai-enabled-frailty-risk-prediction-in-adult-congenital-heart-disease-100629821","NCT07479654","AI-Enabled Frailty Risk Prediction in Adult Congenital Heart Disease","Precision Risk Prediction of Symptom Clusters and Frailty With AI-Guided Emotion Detection: A Three-Year Study in Adults With Congenital Heart Disease","Inclusion Criteria:\n\n1. Adults aged 20 years or older.\n2. Diagnosed with congenital heart disease by a physician.\n3. Able to communicate in Mandarin or Taiwanese, with normal cognitive function.\n\nExclusion Criteria:\n\n1. Presence of other congenital anomalies.\n2. Currently hospitalized for acute decompensation, or having severe cognitive impairment or psychiatric symptoms that preclude completion of questionnaires.\n3. Pregnant individuals.","20 Years",{"count":57,"type":21},410,"INTERVENTIONAL",[60],"NA","The goal of this three-year mixed-methods observational study with an embedded randomized controlled trial is to develop and validate a frailty risk prediction model and evaluate an artificial intelligence-based voice emotion detection-guided counselling intervention in adults with congenital heart disease (ACHD).\n\nThe main questions it aims to answer are:\n\nAre symptom clusters associated with frailty and psychological outcomes in adults with congenital heart disease?\n\nCan symptom clusters and psychosocial factors be used to predict frailty risk over time in ACHD patients?\n\nDoes an AI-based voice emotion detection-guided counselling intervention improve psychological outcomes, fatigue, and quality of life among high-risk ACHD patients?\n\nResearchers will compare ACHD patients receiving AI-based voice emotion detection-guided counselling with those receiving usual care to determine whether the intervention reduces depression, anxiety, sleep disturbance, fatigue, and frailty risk, and improves grit and quality of life.\n\nParticipants will:\n\nComplete longitudinal assessments of symptom clusters, frailty, and psychological status at baseline and follow-up time points\n\nParticipate in qualitative interviews to explore lived experiences related to symptoms and frailty\n\nReceive AI-based voice emotion detection-guided counselling (intervention group only in Year 3)",[63,64,65,29,66],"Adult Congenital Heart Disease","Symptom Clusters","Frailty","Artificial Intelligence-Based Voice Emotion Detection","NOT_YET_RECRUITING","2026-03-15",{"date":70,"type":39},"2026-03-18",{"date":72,"type":21},"2026-03-01",{"date":74,"type":21},"2028-12-31",{"name":76,"class":46},"Mackay Memorial Hospital"]