[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100616601":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":29,"centralContacts":29,"locations":29,"responsibleParty":30,"collaborators":29,"id":34,"slug":35,"hasResults":36,"nctId":37,"briefTitle":38,"officialTitle":38,"acronym":39,"eligibilityCriteria":40,"healthyVolunteers":36,"sex":41,"minAge":42,"maxAge":29,"enrollmentInfo":43,"targetDuration":29,"studyType":46,"phases":47,"briefSummary":49,"conditions":50,"keywords":52,"overallStatus":59,"whyStopped":29,"lastUpdateSubmitDate":60,"lastUpdatePostDateStruct":61,"startDateStruct":64,"completionDateStruct":66,"leadSponsor":68,"locationsCount":29},{"fullName":5,"class":6},"National Defense Medical Center, Taiwan","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Timely treatment","EXPERIMENTAL","Initiation of any potassium-lowering intervention within one hour of the index potassium measurement",[13],"Behavioral: Timely treatment",{"label":15,"type":10,"description":16,"interventionNames":17},"Delayed treatment","Initiation of any potassium-lowering intervention in 1 to 4 hours of the index potassium measurement",[18],"Behavioral: Delayed treatment",[20,26],{"type":21,"name":9,"description":22,"armGroupLabels":23,"otherNames":24},"BEHAVIORAL","Initiation of any potassium-lowering intervention within 1 hour of the index potassium measurement",[9],[25],"Timely treatment of potassium-lowering treatment",{"type":21,"name":15,"description":27,"armGroupLabels":28,"otherNames":29},"Initiation of any potassium-lowering intervention in 1 to 4 hours of the index potassium measurement.",[15],null,{"type":31,"investigatorFullName":32,"investigatorTitle":33,"investigatorAffiliation":5,"oldNameTitle":29,"oldOrganization":29},"PRINCIPAL_INVESTIGATOR","Chin Lin","Professor","100616601","ai-enabled-ecg-stratification-and-timing-of-potassium-lowering-therapy-in-patients-with-hyperkalemia-a-target-trial-emulation-study-100616601",false,"NCT07307729","AI-Enabled ECG Stratification and Timing of Potassium-Lowering Therapy in Patients With Hyperkalemia: A Target Trial Emulation Study","AIDE-K","Inclusion Criteria:\n\n1. patients visit to emergency department\n2. serum potassium ≥5.5 mEq\u002FL\n3. had a standard 12-lead ECG performed within 1 hour of the qualifying potassium measurement\n\nExclusion Criteria:\n\n1. potassium-lowering therapy administered before the index blood draw\n2. no potassium-lowering therapy initiated within 4 hours after the index draw\n3. duplicate encounters\n4. missing key covariates","ALL","18 Years",{"count":44,"type":45},5000,"ESTIMATED","INTERVENTIONAL",[48],"NA","Hyperkalemia is a common and potentially life-threatening electrolyte disorder, yet there is limited evidence guiding the optimal timing of potassium-lowering therapy in routine clinical practice. Although electrocardiographic (ECG) abnormalities are recommended to inform treatment decisions, such findings are often subtle and difficult to recognize consistently by clinicians.\n\nThis study aims to emulate a target trial to evaluate the association between the timing of potassium-lowering therapy (timely versus delayed initiation) and short-term mortality among patients with laboratory-confirmed hyperkalemia presenting to the emergency department. In addition, the study examines whether artificial intelligence-enabled ECG (AI-ECG) stratification identifies patient subgroups that may differentially benefit from earlier treatment.\n\nUsing observational electronic health record data from multiple healthcare systems, including publicly available critical care databases and institutionally governed hospital datasets, treatment strategies are compared using causal inference methods designed to approximate randomized assignment. The primary outcome is 90-day all-cause mortality.\n\nThe results of this study are intended to inform clinical decision-making regarding treatment timing in hyperkalemia and to evaluate the potential role of AI-ECG as a risk stratification tool in real-world settings.",[51],"Hyperkalaemia",[53,54,55,56,57,58],"artificial intelligence","electrocardiogram","emergency department","hyperkalemia","potassium","treatment","NOT_YET_RECRUITING","2025-12-15",{"date":62,"type":63},"2025-12-29","ACTUAL",{"date":65,"type":45},"2026-01-01",{"date":67,"type":45},"2026-03-31",{"name":5,"class":6}]