[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"cost-analysis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:cost-analysis":24},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,45],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":4,"briefSummary":22,"conditions":23,"keywords":27,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":4},"100609154","an-artificial-intelligence-model-for-intensive-care-length-of-stay-neurological-outcome-and-costs-estimation-after-cardiopulmonary-resuscitation-a-cohort-study-100609154",false,"NCT07210866","An Artificial Intelligence Model for Intensive Care Length of Stay, Neurological Outcome and Costs Estimation After Cardiopulmonary Resuscitation: a Cohort Study.","AN ARTIFICIAL INTELLIGENCE MODEL FOR INTENSIVE CARE LENGTH OF STAY, NEUROLOGICAL OUTCOME AND COSTS ESTIMATION AFTER CARDIOPULMONARY RESUSCITATION: A COHORT STUDY","Inclusion Criteria:\n\n* age\\>18 years\n* successive cardiopulmonary resuscitation\n* at least 1 hour long admission to ICU after Return Of Spontaneous Circulation (ROSC)\n\nExclusion Criteria:\n\n* age \\\u003C 18 years\n* \\>80% missing data in patient records\n* patients with no ROSC","ALL","18 Years",{"count":19,"type":20},5000,"ESTIMATED","OBSERVATIONAL","The study aims to overview patients registered to Bezmialem Vakıf University Hospital Intensive Care Unit after successive cardiac arrest resuscitation from October 2010 to September 2025. The goal is to determine length of stay in reanimation, neurological clinical outcome and costs of these patients at discharge from the department. All these data is intended to be evaluated by artificial intelligence to evaluate a predictive model.",[24,25,26],"Cost Analysis","Length of ICU Stay","Neurological Outcome",[28,29,30,31,32],"machine learning","cardiopulmonary rescucitation","lenght of stay","cost analysis","neurological outcome","NOT_YET_RECRUITING","2025-09-30",{"date":36,"type":37},"2025-10-07","ACTUAL",{"date":39,"type":20},"2025-10-01",{"date":41,"type":20},"2025-12-01",{"name":43,"class":44},"Bezmialem Vakif University","OTHER",{"id":46,"slug":47,"hasResults":11,"nctId":48,"briefTitle":49,"officialTitle":49,"acronym":4,"eligibilityCriteria":50,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":51,"targetDuration":4,"studyType":53,"phases":54,"briefSummary":56,"conditions":57,"keywords":4,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":60,"lastUpdatePostDateStruct":61,"startDateStruct":63,"completionDateStruct":64,"leadSponsor":66,"locationsCount":68},"100603793","turnova-the-clinical-efficacy-manpower-reduction-and-cost-effectiveness-of-turn-assist-alternating-pressure-air-mattresses-for-pressure-injury-prevention-in-the-icu-100603793","NCT07141134","Turnova: The Clinical Efficacy, Manpower Reduction, and Cost-Effectiveness of Turn-Assist Alternating Pressure Air Mattresses for Pressure Injury Prevention in the ICU","Inclusion Criteria:\n\n* Adult patients (≥18 years old) admitted to medical or surgical intensive care units (ICUs).\n* Admission time between 08:00 and 23:00.\n* Clinical condition requires ICU-level care.\n\nExclusion Criteria:\n\n* Repeat ICU admission during the study period.\n* Unstable spinal fracture.\n* Receiving cervical or skeletal traction.\n* Body weight \\>180 kg (exceeds mattress weight limit).\n* Declines participation in the study.",{"count":52,"type":20},236,"INTERVENTIONAL",[55],"NA","Pressure injuries are common in intensive care unit (ICU) patients who cannot reposition themselves. International guidelines recommend using support surfaces to redistribute pressure and regular turning to prevent these injuries. In Taiwan, high-specification foam mattresses (HSFM) with manual turning remain the standard, but frequent repositioning is labor-intensive and challenging in settings with limited nursing staff. The Turn-Assist Alternating Pressure Air Mattress (TAPAM) integrates pressure redistribution with automated lateral turning, potentially reducing nursing workload while maintaining preventive effectiveness. This study will compare TAPAM with HSFM plus manual turning in ICU patients, evaluating manpower requirements, time spent, perceived effort, and clinical outcomes. A cost-effectiveness and cost-benefit analysis will be conducted to assess the overall value of TAPAM for pressure injury prevention in high-risk ICU populations.",[58,59,24],"Critical Care, Intensive Care","Nursing Workload","2025-09-02",{"date":62,"type":37},"2025-09-08",{"date":62,"type":20},{"date":65,"type":20},"2026-07-30",{"name":67,"class":44},"National Taiwan University Hospital",1]