[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100620123":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":15,"locations":21,"responsibleParty":73,"collaborators":77,"id":82,"slug":83,"hasResults":84,"nctId":85,"briefTitle":86,"officialTitle":87,"acronym":10,"eligibilityCriteria":88,"healthyVolunteers":84,"sex":89,"minAge":90,"maxAge":10,"enrollmentInfo":91,"targetDuration":10,"studyType":94,"phases":10,"briefSummary":95,"conditions":96,"keywords":100,"overallStatus":105,"whyStopped":10,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":110,"completionDateStruct":112,"leadSponsor":114,"locationsCount":115},{"fullName":5,"class":6},"Chengdu Jinjiang Maternity and Child Health Hospital","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"Hypothermia Group",null,"This cohort consists of patients who develop intraoperative hypothermia (IOH) during gynecological laparoscopic surgery. IOH is defined as a core body temperature (measured by a wireless temperature monitoring system) falling below 36.0°C at any time during the surgery.",{"label":13,"type":10,"description":14,"interventionNames":10},"Normothermia Group","This cohort comprises patients whose core body temperature (measured by a wireless temperature monitoring system) remains at or above 36.0°C throughout the entire gynecological laparoscopic surgery, and who do not develop intraoperative hypothermia (IOH). These patients serve as the control group for this study.",[16],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},"Bo Liu, MS","CONTACT","+8618502846036","liubojjfy@163.com",[22,42,52,63],{"facility":23,"status":10,"city":24,"state":25,"zip":26,"country":27,"countryCode":28,"cosmosGeoPoint":29,"geoPoint":34,"contacts":35},"Chengdu Jinjiang District Women & Children Health Hospital","Chengdu","Sichuan","610011","China","CN",{"type":30,"coordinates":31},"Point",[32,33],104.06667,30.66667,{"lat":33,"lon":32},[36,40],{"name":37,"role":18,"phone":38,"phoneExt":10,"email":39},"fei jia, BS","+86 18581877655","jiafei1980@sina.com",{"name":10,"role":18,"phone":10,"phoneExt":10,"email":41},"409440463@qq.com",{"facility":43,"status":10,"city":24,"state":25,"zip":26,"country":27,"countryCode":28,"cosmosGeoPoint":44,"geoPoint":46,"contacts":47},"Sichuan Jinxin Xinan Women & Children's Hospital",{"type":30,"coordinates":45},[32,33],{"lat":33,"lon":32},[48],{"name":49,"role":18,"phone":50,"phoneExt":10,"email":51},"chunping li, MS","+86 18284535909","lichunpingjx@163.com",{"facility":53,"status":10,"city":24,"state":25,"zip":54,"country":27,"countryCode":28,"cosmosGeoPoint":55,"geoPoint":57,"contacts":58},"People ' s Hospital of Dayi County","611300",{"type":30,"coordinates":56},[32,33],{"lat":33,"lon":32},[59],{"name":60,"role":18,"phone":61,"phoneExt":10,"email":62},"chao liu, BS","+86 18190725356","397619144@qq.com",{"facility":64,"status":10,"city":24,"state":25,"zip":65,"country":27,"countryCode":28,"cosmosGeoPoint":66,"geoPoint":68,"contacts":69},"Medical Center Hospital of QiongLai City","611532",{"type":30,"coordinates":67},[32,33],{"lat":33,"lon":32},[70],{"name":71,"role":18,"phone":72,"phoneExt":10,"email":41},"yunfei hu, BS","+86 13880189795",{"type":74,"investigatorFullName":75,"investigatorTitle":76,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Fei Jia","Director of Anesthesiology Department",[78,80,81],{"name":43,"class":79},"UNKNOWN",{"name":53,"class":79},{"name":64,"class":79},"100620123","predicting-hypothermia-in-gynecological-laparoscopic-surgery-using-machine-learning-100620123",false,"NCT07353528","Predicting Hypothermia in Gynecological Laparoscopic Surgery Using Machine Learning","Development and Validation of a Machine Learning Model to Predict Hypothermia in Gynecological Laparoscopic Surgery Based on Preoperative Clinical Indicators: A Multicenter Prospective Cohort Study","Inclusion Criteria:\n\n* Female patients aged 18 years or older.\n* Patients scheduled for laparoscopic surgery.\n\nExclusion Criteria:\n\n* Preoperative body temperature exceeding 37.5°C or below 36.0°C.\n* History of hypothyroidism or hyperthyroidism.\n* Patients with thermoregulatory dysfunction, such as severe infection or central nervous system disorders.\n* Patients who refuse to sign the informed consent form.","FEMALE","18 Years",{"count":92,"type":93},1000,"ESTIMATED","OBSERVATIONAL","Brief Title: Predicting Hypothermia in Gynecological Laparoscopic Surgery Using Machine Learning\n\nBrief Summary: This study aims to develop and validate a machine learning model for predicting intraoperative hypothermia (IOH) in patients undergoing gynecological laparoscopic surgery based on preoperative clinical indicators. This prospective, multicenter case-control study will enroll female patients aged 18 years and older who are scheduled for laparoscopic surgery across multiple hospitals from 2026 to 2027. The primary objective is to identify high-risk patients who may experience IOH, defined as a core temperature below 36.0°C during surgery.\n\nParticipants will be classified into two groups: the IOH group, consisting of patients who experience hypothermia, and the normal temperature group, comprising patients who maintain a core temperature of 36.0°C or higher. Data collection will include demographics, comorbidities, surgical details, anesthesia information, and preoperative laboratory results.\n\nThe primary outcome measure will be the area under the curve (AUC) of the model, assessing its predictive performance at various thresholds. Secondary outcomes will include sensitivity, positive predictive value, negative predictive value, and F1 score. The study hypothesizes that the developed machine learning model will significantly improve the accuracy and timeliness of predicting IOH, thereby enhancing patient safety during surgery and postoperative recovery. This research is expected to inform clinical practices related to preventative warming strategies, ultimately improving patient outcomes in gynecological laparoscopic surgery.",[97,98,99],"Laparoscopic Surgery","Intraoperative Hypothermia","Gynecological Surgery",[101,102,103,104],"Laparoscopic surgery","Intraoperative hypothermia","Machine learning","Gynecology","NOT_YET_RECRUITING","2026-01-18",{"date":108,"type":109},"2026-01-20","ACTUAL",{"date":111,"type":93},"2026-03-01",{"date":113,"type":93},"2026-07-01",{"name":5,"class":6},4]