[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"bacteremia-sepsis\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:bacteremia-sepsis":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":31,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100630726","the-impact-of-fast-antimicrobial-sensitivity-testing-tools-on-stewardship-antibiotic-and-clinical-outcome-act-fast-100630726",false,"NCT07491419","The Impact of Fast Antimicrobial Sensitivity Testing Tools on Stewardship Antibiotic and Clinical Outcome (ACT-FAST)","The Impact of Fast Antimicrobial Sensitivity Testing Tools on Stewardship Antibiotic and Clinical Outcome: a Randomized Clinical Trial Within an Adaptive Platform Trial for Patients With Bloodstream Infections","ACT-FAST","Inclusion Criteria:\n\n* Patients admitted to emergency department or hospitalized for any cause in participating hospitals with clinically suspected BSI and positive blood culture.\n* At least 18 years of age.\n\nExclusion Criteria:\n\n* Have previously taken part in this trial.\n* Concurrently participating in the active phase of a study considered incompatible.\n* Patient with severe or terminal disease with life expectancy shorter than 48 h.\n* Have an existing directive to withhold life-sustaining treatment, in relation to antibiotic use.","ALL","18 Years",{"count":20,"type":21},400,"ESTIMATED","INTERVENTIONAL",[24],"NA","The ACT-FAST study aims to compare commercially available Rapid Antimicrobial Susceptibility Testing (R-AST) tools with the current standard of care for patients with Bloodstream Infections (BSI). The primary objective is to evaluate whether \"early targeted\" antibiotic prescriptions, guided by these rapid tests, can improve antimicrobial stewardship and patient clinical outcomes.\n\nTo facilitate the evaluation of various diagnostic tools-including those currently on the market and those emerging in the near future-this study utilizes an adaptive clinical trial platform. This flexible design allows for the continuous assessment of different R-AST technologies within a single master protocol, ensuring that the most effective diagnostic strategies are identified efficiently.",[27,28,29,30],"Bloodstream Infection","Gram-Negative Infections","Gram-Positive Infections","Bacteremia Sepsis",[32,33,34,30],"Blood Stream Infection","Gram-negative Infections","Gram-positive Infections","RECRUITING","2026-06-21",{"date":38,"type":39},"2026-06-24","ACTUAL",{"date":41,"type":39},"2026-03-19",{"date":43,"type":21},"2028-03-19",{"name":45,"class":46},"Istituto Clinico Humanitas","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":22,"phases":58,"briefSummary":59,"conditions":60,"keywords":61,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":5},"100581668","machine-learning-assisted-electrochemical-profiling-to-provide-early-identification-of-bloodstream-infections-pathogens-100581668","NCT06853301","Machine Learning Assisted Electrochemical Profiling to Provide Early Identification of Bloodstream Infections Pathogens","Towards a Smart Blood Culture Bottle: Machine Learning Assisted Electrochemical Profiling to Provide Early In-situ Identification of Bloodstream Infections Pathogens","E-MOC","Inclusion Criteria:\n\n* patient requiring a blood culture sample as standard of care procedure\n* body weight \\> 50 Kg\n* Patient for whom the collection of 2 to 4 additional blood culture bottles is feasible, depending on venous access\n* patient who has not objected to participation in the project\n\nExclusion Criteria:\n\n* Patient protected under the French Public Health Code (pregnant or breastfeeding women, patients under guardianship or curatorship, hospitalized under constraint, or deprived of liberty)\n* patients with ongoing antibiotic treatment at the time of sampling",{"count":57,"type":21},200,[24],"In the context of a bacteremia, although significant progress has been made in speeding up pathogen identification once a blood culture bottle turns positive, few cost-effective solutions have been proposed to improve the earlier stages of the process-specifically, from blood collection to bottle positivity. The investigators propose that transport time could be leveraged to grow and identify bacteria, enabling faster access to actionable results through innovative technologies. This project aims to develop a bacterial identification database by analyzing the electrochemical profile of bacteria growing within the blood culture bottle, using machine learning.",[30],[62,63,64,65,66,67,68],"Rapid identification","Positive blood culture","Electrochemical profiling","Machine learning","Artificial intelligence","Bacteremia","Database","NOT_YET_RECRUITING","2025-03-25",{"date":72,"type":39},"2025-03-26",{"date":74,"type":21},"2025-04",{"date":76,"type":21},"2026-08",{"name":78,"class":46},"University Hospital, Grenoble"]