[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100528669":3},{"organization":4,"armGroups":7,"interventions":17,"overallOfficials":11,"centralContacts":23,"locations":32,"responsibleParty":47,"collaborators":11,"id":51,"slug":11,"hasResults":52,"nctId":53,"briefTitle":54,"officialTitle":55,"acronym":56,"eligibilityCriteria":57,"healthyVolunteers":58,"sex":59,"minAge":60,"maxAge":11,"enrollmentInfo":61,"targetDuration":11,"studyType":64,"phases":65,"briefSummary":67,"conditions":68,"keywords":11,"overallStatus":35,"whyStopped":11,"lastUpdateSubmitDate":74,"lastUpdatePostDateStruct":75,"startDateStruct":78,"completionDateStruct":80,"leadSponsor":82,"locationsCount":83},{"fullName":5,"class":6},"Amsterdam UMC, location VUmc","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Blood culture taken based on machine learning tool","EXPERIMENTAL",null,[13],"Device: Blood culture prediction tool",{"label":15,"type":16,"description":11,"interventionNames":11},"Blood culture taken based on the treating physician","NO_INTERVENTION",[18],{"type":19,"name":20,"description":21,"armGroupLabels":22,"otherNames":11},"DEVICE","Blood culture prediction tool","Machine learning based predicition tool",[9],[24,29],{"name":25,"role":26,"phone":27,"phoneExt":11,"email":28},"Prabath WB Nanayakkara, MD, PhD","CONTACT","+31204444444","p.nanayakkara@amsterdamumc.nl",{"name":30,"role":26,"phone":27,"phoneExt":11,"email":31},"Sheena C Bhagirath, MD","s.bhagirath@amsterdamumc.nl",[33],{"facility":34,"status":35,"city":36,"state":11,"zip":11,"country":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Amsterdam UMC - location AMC","RECRUITING","Amsterdam","Netherlands",{"type":39,"coordinates":40},"Point",[41,42],4.88969,52.37403,{"lat":42,"lon":41},[45],{"name":46,"role":26,"phone":11,"phoneExt":11,"email":11},"Prabath Nanayakkara, MD, PhD",{"type":48,"investigatorFullName":49,"investigatorTitle":50,"investigatorAffiliation":5,"oldNameTitle":11,"oldOrganization":11},"PRINCIPAL_INVESTIGATOR","Prabath W.B. Nanayakkara","MD, PhD","100528669",false,"NCT06163781","Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning","Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning: a Randomized Controlled Trial","ABC","Inclusion Criteria:\n\n* Age \\>= 18 years\n* Have a clinical indication for a blood culture analysis (according to the treating physician)\n* Have sufficient data recorded (laboratory results and vital sign measurements) for a prediction to be made (at least 20% of the needed parameters)\n\nExclusion Criteria:\n\n* Central Venous Line (CVL) or Peripherally Inserted Central Catheter (PICC) in situ\n* Neutrophil count \\\u003C 0.5 \\* 109\u002FL\n* Candidemia or S. aureus bacteraemia in the past 3 months.\n* Most likely diagnosis of endocarditis\u002Fspondylodiscitis\u002Finfected prosthetic material\n* Pregnant or breastfeeding patients\n* Not capable of giving informed consent",true,"ALL","18 Years",{"count":62,"type":63},7584,"ESTIMATED","INTERVENTIONAL",[66],"NA","The goal of this clinical trial is to study whether the use of our blood culture prediction tool is non-inferior to current practice and if it can improve certain outcomes in all adult patients presenting to the emergency department with a clinical indication for a blood culture analysis (according to the treating physician). The primary endpoint is 30-day mortality. Key secondary outcomes are:\n\n* hospital admission rates\n* in-hospital mortality\n* hospital length-of-stay. In the intervention group, the physician will follow the advice of our blood culture prediction tool.\n\nIn the comparison group all patients will undergo a blood culture analysis.",[69,70,71,72,73],"Artificial Intelligence","Machine Learning","Microbiology","Emergency Service, Hospital","Randomized Controlled Trial","2024-05-03",{"date":76,"type":77},"2024-05-07","ACTUAL",{"date":79,"type":77},"2024-02-19",{"date":81,"type":63},"2027-07",{"name":5,"class":6},1]