[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100612666":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":33,"responsibleParty":48,"collaborators":10,"id":52,"slug":53,"hasResults":54,"nctId":55,"briefTitle":56,"officialTitle":57,"acronym":10,"eligibilityCriteria":58,"healthyVolunteers":54,"sex":59,"minAge":60,"maxAge":10,"enrollmentInfo":61,"targetDuration":10,"studyType":64,"phases":10,"briefSummary":65,"conditions":66,"keywords":73,"overallStatus":35,"whyStopped":10,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":83,"completionDateStruct":85,"leadSponsor":87,"locationsCount":88},{"fullName":5,"class":6},"Kocaeli City Hospital","OTHER_GOV",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Knee Arthroplasty Group",null,"The group of patients who will undergo knee replacement surgery under spinal anesthesia",[13],"Procedure: Spinal Anesthesia (bupivacaine)",[15],{"type":16,"name":17,"description":18,"armGroupLabels":19,"otherNames":10},"PROCEDURE","Spinal Anesthesia (bupivacaine)","Before being placed on the operating table, the patient is positioned comfortably and prepared for the procedure. Standardized monitoring is initiated, including five-lead electrocardiography (ECG), non-invasive blood pressure (NIBP), and pulse oximetry (SpO₂). Baseline measurements of heart rate, systolic and diastolic blood pressure, mean arterial pressure (MAP), and oxygen saturation are recorded. An 18- or 20-gauge intravenous line is inserted, and an appropriate crystalloid preload is administered. After ensuring aseptic conditions, the patient is positioned in the sitting posture, and spinal puncture is performed at the L3-L4 or L4-L5 intervertebral space using a 25 Gauge Whitacre needle. Following free flow of cerebrospinal fluid, 0.5% hyperbaric bupivacaine (10-15 mg) is slowly injected. The completion of the injection is",[9],[21],{"name":22,"affiliation":5,"role":23},"Ahmet Yüksek, MD","STUDY_DIRECTOR",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":10,"email":29},"Sıddık Varolgüneş, MD","CONTACT","+905319179657","varolgunes1235@gmail.com",{"name":22,"role":27,"phone":31,"phoneExt":10,"email":32},"+905326580351","mdayuksek@hotmail.com",[34],{"facility":5,"status":35,"city":36,"state":37,"zip":38,"country":39,"countryCode":10,"cosmosGeoPoint":40,"geoPoint":45,"contacts":46},"RECRUITING","Kocaeli","İzmit","41000","Turkey (Türkiye)",{"type":41,"coordinates":42},"Point",[43,44],27.51145,39.62497,{"lat":44,"lon":43},[47],{"name":22,"role":27,"phone":31,"phoneExt":10,"email":32},{"type":49,"investigatorFullName":50,"investigatorTitle":51,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Sıddık Varolgunes","MD","100612666","machine-learning-for-predicting-spinal-anesthesia-duration-100612666",false,"NCT07256548","Machine Learning for Predicting Spinal Anesthesia Duration","Comparative Evaluation of Machine Learning Algorithms for Predicting Spinal Anesthesia Termination Time","Inclusion Criteria:\n\n1. Patients scheduled to undergo total knee arthroplasty between November 2025 and March 2026 at the Kocaeli City Hospital Operating Theaters.\n2. Patients who have provided written informed consent to participate in the study.\n3. Patients whose surgery is planned under spinal anesthesia.\n4. Patients for whom complete clinical data can be obtained during the study period.\n5. Adults aged 18 years or older, classified as American Society of Anesthesiologist's (ASA) Physical Status I or II.\n\nExclusion Criteria:\n\n1. Patients who were converted to general anesthesia during surgery or initially operated under general anesthesia.\n2. Patients who required postoperative intensive care unit (ICU) admission following anesthesia.\n3. Patients who developed surgical complications and for whom postoperative mobilization could not be planned.\n4. Patients with cognitive impairment preventing them from completing pain assessment scales in the postoperative period.\n5. Patients with neuropathic pain, multiple sclerosis, or other neuromotor disorders will be excluded from the study.","ALL","18 Years",{"count":62,"type":63},140,"ESTIMATED","OBSERVATIONAL","Spinal anesthesia provides significant advantages over general anesthesia in knee arthroplasty, including reduced blood loss, faster recovery, and fewer complications. However, predicting its duration is critical for patient safety and effective postoperative management. This study evaluates the usability of machine learning (ML) algorithms to predict the termination time of spinal anesthesia and the patient's readiness for mobilization. Using demographic, surgical, and anesthetic variables, ML models were trained to estimate anesthesia duration. Accurate predictions may improve intraoperative planning, optimize postoperative care, and enhance patient outcomes. Integrating ML-based predictive systems into anesthesia practice can contribute to safer, more efficient, and personalized perioperative management.",[67,68,69,70,71,72],"Spinal Anesthesia","Machine Learning","Knee Arthroplasty, Total","Spinal Anesthesia Duration","Postoperative Care","Postoperative Acute Pain",[74,75,76,77,78],"spinal anesthesia","machine learning","Knee arthroplasty","spinal anesthesia duration","Acute postoperative pain","2025-12-01",{"date":81,"type":82},"2025-12-08","ACTUAL",{"date":84,"type":82},"2025-10-31",{"date":86,"type":63},"2026-03-01",{"name":5,"class":6},1]