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Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE)

Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE) Prompts Immediate Treatment

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05118022
Enrollment
14989
Registered
2021-11-11
Start date
2022-01-01
Completion date
2023-02-28
Last updated
2024-09-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hyperkalemia, Hypokalemia

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.

Interventions

OTHERArtificial Intelligence identified Dyskalemia using Electrocardiogram (AIDE) system

Once the AIDE indicates high risk of dyskalemia, an obvious message by scarlet letter was appeared in the HIS operation interface to corresponding physicians. To avoid the alert fatigue, we selected the cut-off points with expected positive predictive values of ≥40% according to previous data, which was the consensus of enrolled physicians before the trial considering the clinical loading. The physicians received the AIDE alerts as long as they were operating HIS logged in by their account, even if they were caring other patients. Physicians can review the AIDE predictions of patients in the intervention group. Therefore, this was a single-blind study since HIS presented different information for patients in intervention and control groups. The participated physicians understood the likelihood of dyskalemia and cardiac risk for those patients with ECG-dyskalemia, and provided suitable medical care according to patients' conditions.

Sponsors

National Defense Medical Center, Taiwan
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Cumulative proportion of hyperkalemia treatmentWithin 3 hoursCalcium supplement, insulin, potassium binding resin, β2-agonist, loop diuretics, sodium bicarbonate, and hemodialysis.
Cumulative proportion of hypokalemia treatmentWithin 3 hoursIntravenous potassium chloride, oral potassium gluconate, and oral potassium chloride

Secondary

MeasureTime frameDescription
Cumulative proportion of electric shockWithin 6 hoursCardioversion
Cumulative proportion of CPR eventWithin 6 hoursCardiopulmonary pesuscitation
Cardiac arrest (sudden death)Within 3 daysCardiac arrest (sudden death)
Cumulative proportion of Treatment-induced hypokalemia eventWithin 24 hoursTreatment-induced hypokalemia event
Cumulative proportion of Treatment-induced hyperkalemia eventWithin 24 hoursTreatment-induced hyperkalemia event
Cumulative proportion of DischargeWithin 14 daysDischarge from inpatient department or emergency department
Cumulative proportion of All-cause mortalityWithin 365 daysAll-cause mortality

Countries

Taiwan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026