[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100568748":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":29,"centralContacts":33,"locations":10,"responsibleParty":41,"collaborators":10,"id":44,"slug":45,"hasResults":46,"nctId":47,"briefTitle":48,"officialTitle":49,"acronym":10,"eligibilityCriteria":50,"healthyVolunteers":46,"sex":51,"minAge":52,"maxAge":10,"enrollmentInfo":53,"targetDuration":56,"studyType":57,"phases":10,"briefSummary":58,"conditions":59,"keywords":61,"overallStatus":65,"whyStopped":10,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":10},{"fullName":5,"class":6},"Uludag University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Development group",null,"The development group comprises 385 individuals. Following the data collection process, the independent risk factors for the development of delirium will be identified through statistical analysis. A delirium prediction model will then be developed based on the identified risk factors.",[13],"Behavioral: Group 1",{"label":15,"type":10,"description":16,"interventionNames":17},"Validation group","The validation group comprises 385 individuals. The delirium prediction model, constructed using the data from the development group, will be validated by testing the data from the validation group. This process will enable the evaluation of the model's suitability and calibration for predicting delirium.",[18],"Behavioral: Group 2",[20,25],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":10},"BEHAVIORAL","Group 1","The development group comprises 385 individuals. Following the data collection phase of the development group, the independent risk factors for the onset of delirium will be identified through statistical analysis. A delirium prediction model will then be constructed using the identified risk factors.",[9],{"type":21,"name":26,"description":27,"armGroupLabels":28,"otherNames":10},"Group 2","The validation group comprises 385 individuals. The delirium prediction model created using the data from the development group will be validated by testing the data from the validation group. This will enable the evaluation of the model's fit and calibration in predicting delirium.",[15],[30],{"name":31,"affiliation":5,"role":32},"Nursel Vatansever","STUDY_DIRECTOR",[34,39],{"name":35,"role":36,"phone":37,"phoneExt":10,"email":38},"Kubra Gunes","CONTACT","05379406215","kubragunes213@gmail.com",{"name":31,"role":36,"phone":10,"phoneExt":10,"email":40},"nurselaydin@uludag.edu.tr",{"type":42,"investigatorFullName":35,"investigatorTitle":43,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"SPONSOR_INVESTIGATOR","RN, MSc","100568748","development-of-perioperative-delirium-prediction-model-100568748",false,"NCT06685263","Development of Perioperative Delirium Prediction Model","Development of a Perioperative Delirium Prediction Model in Patients Undergoing Cardiovascular Surgery","Inclusion Criteria:\n\n* Over 18 years old\n* Previous cardiovascular surgery\n* No mental deficiency and visual and hearing impairment\n* Participants' acceptance to participate in the research\n* The patient is not in coma (RASS score between -3 and +4, GCS score of 10 and above)\n\nExclusion Criteria:\n\n* Cardiovascular surgery under emergency conditions\n* Being diagnosed with delirium, dementia, psychiatric illness and taking medication for this reason before the surgery\n* Serious conditions such as cardiopulmonary resuscitation during surgery\n* Alcohol and drug addiction\n* Duration of mechanical ventilation exceeding 36 hours\n* Dying in the intensive care unit within 24 hours","ALL","18 Years",{"count":54,"type":55},770,"ESTIMATED","3 Days","OBSERVATIONAL","Postoperative delirium is an acute organic brain dysfunction that is commonly observed following cardiovascular surgery. It presents with acute and fluctuating changes in the level of consciousness, resulting in impaired cognitive function and perception. The incidence of delirium following cardiac surgery has been reported to range from 11.4% to 55%. In light of the challenges associated with treating delirium once it has manifested, it is imperative to prioritise the early recognition and prevention of this condition. The objective of this study was to develop a perioperative delirium risk prediction model for patients undergoing cardiovascular surgery.",[60],"Cardiovascular Surgery",[62,63,64],"cardiovascular surgery","delirium","prediction model","NOT_YET_RECRUITING","2024-11-09",{"date":68,"type":69},"2024-11-12","ACTUAL",{"date":71,"type":55},"2024-12-15",{"date":73,"type":55},"2026-05-30",{"name":35,"class":6}]