[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100600622":3},{"organization":4,"armGroups":7,"interventions":20,"overallOfficials":17,"centralContacts":30,"locations":41,"responsibleParty":75,"collaborators":17,"id":77,"slug":78,"hasResults":79,"nctId":80,"briefTitle":81,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":79,"sex":84,"minAge":85,"maxAge":17,"enrollmentInfo":86,"targetDuration":17,"studyType":89,"phases":90,"briefSummary":92,"conditions":93,"keywords":96,"overallStatus":43,"whyStopped":17,"lastUpdateSubmitDate":101,"lastUpdatePostDateStruct":102,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":109,"locationsCount":110},{"fullName":5,"class":6},"Wroclaw Medical University","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Algorithm based decongestion","EXPERIMENTAL","The patient will receive first dose of intravenous loop diuretic determined per the attending physician. Two hours after diuretic administration, a urine sample will be collected to measure sodium and creatinine concentrations. Using these values, the 6-hour urine output will be estimated with the aid of the machine learning, urine output prediction tool. This estimated diuresis will guide the diuretic therapy plan for the first 24 hours using the adaptative furosemide dosing.\n\nOn the second day, the procedure will be repeated.",[13],"Diagnostic Test: Algorithhm-based decongestion",{"label":15,"type":16,"description":17,"interventionNames":18},"Standard of care","ACTIVE_COMPARATOR",null,[19],"Diagnostic Test: Standard of Care (SOC)",[21,26],{"type":22,"name":23,"description":24,"armGroupLabels":25,"otherNames":17},"DIAGNOSTIC_TEST","Standard of Care (SOC)","Diuretic treatment per attending physician.",[15],{"type":22,"name":27,"description":28,"armGroupLabels":29,"otherNames":17},"Algorithhm-based decongestion","Patient will receive standarized furosemide dosing based on the result of the algorithm-estimated 6h urine output (profiles of diuretic response).",[9],[31,37],{"name":32,"role":33,"phone":34,"phoneExt":35,"email":36},"Jan Biegus, MD, PhD","CONTACT","71 736 42 05","0048","jan.biegus@umw.edu.pl",{"name":38,"role":33,"phone":39,"phoneExt":35,"email":40},"Gracjan Iwanek, MD","71 733 11 12","gracjan.iwanek@student.umw.edu.pl",[42,70],{"facility":5,"status":43,"city":44,"state":45,"zip":46,"country":47,"countryCode":48,"cosmosGeoPoint":49,"geoPoint":54,"contacts":55},"RECRUITING","Wroclaw","Dolnosląskie","50-556","Poland","PL",{"type":50,"coordinates":51},"Point",[52,53],17.03006,51.10286,{"lat":53,"lon":52},[56,58,60,63,66,68],{"name":57,"role":33,"phone":34,"phoneExt":35,"email":36},"Jan Biegus, M.D., Ph.D.",{"name":59,"role":33,"phone":39,"phoneExt":35,"email":40},"Gracjan Iwanek, M.D.",{"name":61,"role":62,"phone":17,"phoneExt":17,"email":17},"Jan Biegus, M.D., Ph. D.","PRINCIPAL_INVESTIGATOR",{"name":64,"role":65,"phone":17,"phoneExt":17,"email":17},"Gracjan K Iwanek, M.D.","SUB_INVESTIGATOR",{"name":67,"role":65,"phone":17,"phoneExt":17,"email":17},"Robert Zymliński, M.D., Ph.D.",{"name":69,"role":65,"phone":17,"phoneExt":17,"email":17},"Mateusz Guzik, M.D.",{"facility":5,"status":43,"city":44,"state":71,"zip":46,"country":47,"countryCode":48,"cosmosGeoPoint":72,"geoPoint":74,"contacts":17},"Lower Silesian Voivodeship",{"type":50,"coordinates":73},[52,53],{"lat":53,"lon":52},{"type":62,"investigatorFullName":32,"investigatorTitle":76,"investigatorAffiliation":5,"oldNameTitle":17,"oldOrganization":17},"Professor","100600622","simple-urine-composition-based-personalized-algorithm-for-effective-congestion-relief-in-decompensated-heart-failure-100600622",false,"NCT07099885","Simple Urine Composition-based Personalized Algorithm for Effective Congestion Relief in Decompensated Heart Failure","SAFER-DHF","Inclusion Criteria:\n\n* Adult patients over 18 years of age who provide informed consent\n* Ability to enroll in the study within the first 24 hours of hospitalization\n* Primary reason for hospitalization is acute heart failure with signs of congestion (at least moderate lower extremity edema)\n* NT-proBNP \\> 1500 pg\u002Fml\n* Anticipated need for diuretic therapy for at least 48 hours from the time of study enrollment\n\nExclusion Criteria:\n\n* End-stage kidney disease requiring renal replacement therapy\n* Hemodynamic instability requiring inotropic support\n* Active infection requiring intravenous antibiotic therapy","ALL","18 Years",{"count":87,"type":88},90,"ESTIMATED","INTERVENTIONAL",[91],"NA","The aim of this study is to evaluate the effectiveness of loop diuretic adaptative algorithm that is based on machine learning, urine output prediction tool, in decongestion of acute heart failure patients.\n\nA total of 90 patients will be enrolled in the study. Of these, 45 will be assigned to the algorithm-based intervention group, while the remaining 45 will serve as the control group. In the control group, all decisions regarding diuretic therapy will be made solely by the attending physician, without the use of the algorithm.\n\nPatients will receive intravenous furosemide, with the initial dose determined by the attending physician. Two hours after administration of the diuretic, a spot urine sample will be collected to measure sodium and creatinine concentrations. Based on these values, the 6-hour urine output will be estimated using the machine learning, urine output prediction tool (http:\u002F\u002Fdiuresis.umw.edu.pl). This estimate will guide the diuretic therapy plan for the first 24 hours of hospitalization. On the second day, the procedure will be repeated using the same methodology.",[94,95],"Acute Heart Failure (AHF)","Congestion, Venous",[97,98,99,100],"decongestion","diuretics","algorithm","acute heart failure","2025-08-06",{"date":103,"type":104},"2025-08-12","ACTUAL",{"date":106,"type":104},"2025-08-01",{"date":108,"type":88},"2027-01-31",{"name":5,"class":6},2]