NCT05118022
Completed
Not Applicable
Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE) Prompts Immediate Treatment
National Defense Medical Center, Taiwan1 site in 1 country14,989 target enrollmentJanuary 1, 2022
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Hyperkalemia
- Sponsor
- National Defense Medical Center, Taiwan
- Enrollment
- 14989
- Locations
- 1
- Primary Endpoint
- Cumulative proportion of hyperkalemia treatment
- Status
- Completed
- Last Updated
- 3 years ago
Overview
Brief Summary
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of potassium abnormalities.
Investigators
Chin Lin
Associate Professor
National Defense Medical Center, Taiwan
Eligibility Criteria
Inclusion Criteria
- •Patients in emergency department.
- •Patients recieved at least 1 ECG examination.
Exclusion Criteria
- •Patients recieved dyskalemia-related treatment before ECG examination.
- •The patients recieved ECG at the period of inactive AI-ECG system.
Outcomes
Primary Outcomes
Cumulative proportion of hyperkalemia treatment
Time Frame: Within 3 hours
Calcium supplement, insulin, potassium binding resin, β2-agonist, loop diuretics, sodium bicarbonate, and hemodialysis.
Cumulative proportion of hypokalemia treatment
Time Frame: Within 3 hours
Intravenous potassium chloride, oral potassium gluconate, and oral potassium chloride
Secondary Outcomes
- Cardiac arrest (sudden death)(Within 3 days)
- Cumulative proportion of All-cause mortality(Within 365 days)
- Cumulative proportion of electric shock(Within 6 hours)
- Cumulative proportion of CPR event(Within 6 hours)
- Cumulative proportion of Discharge(Within 14 days)
- Cumulative proportion of Treatment-induced hypokalemia event(Within 24 hours)
- Cumulative proportion of Treatment-induced hyperkalemia event(Within 24 hours)
Study Sites (1)
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