Artificial Intelligence Identified Dyskalemia Using Electrocardiogram (AIDE)

September 13, 2024 updated by: Chin Lin, National Defense Medical Center, Taiwan

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

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.

Study Overview

Study Type

Interventional

Enrollment (Actual)

14989

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan, 114
        • National defense medical center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Screening
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention
Patients randomized to intervention will be cared by physicians under AI-ECG support.
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.
No Intervention: Control
Patients randomized to control will be cared by routine practice.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cumulative proportion of hyperkalemia treatment
Time Frame: Within 3 hours
Calcium supplement, insulin, potassium binding resin, β2-agonist, loop diuretics, sodium bicarbonate, and hemodialysis.
Within 3 hours
Cumulative proportion of hypokalemia treatment
Time Frame: Within 3 hours
Intravenous potassium chloride, oral potassium gluconate, and oral potassium chloride
Within 3 hours

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cumulative proportion of Discharge
Time Frame: Within 14 days
Discharge from inpatient department or emergency department
Within 14 days
Cardiac arrest (sudden death)
Time Frame: Within 3 days
Cardiac arrest (sudden death)
Within 3 days
Cumulative proportion of All-cause mortality
Time Frame: Within 365 days
All-cause mortality
Within 365 days
Cumulative proportion of electric shock
Time Frame: Within 6 hours
Cardioversion
Within 6 hours
Cumulative proportion of CPR event
Time Frame: Within 6 hours
Cardiopulmonary pesuscitation
Within 6 hours
Cumulative proportion of Treatment-induced hypokalemia event
Time Frame: Within 24 hours
Treatment-induced hypokalemia event
Within 24 hours
Cumulative proportion of Treatment-induced hyperkalemia event
Time Frame: Within 24 hours
Treatment-induced hyperkalemia event
Within 24 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2022

Primary Completion (Actual)

October 31, 2022

Study Completion (Actual)

February 28, 2023

Study Registration Dates

First Submitted

November 1, 2021

First Submitted That Met QC Criteria

November 1, 2021

First Posted (Actual)

November 11, 2021

Study Record Updates

Last Update Posted (Actual)

September 19, 2024

Last Update Submitted That Met QC Criteria

September 13, 2024

Last Verified

September 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • NDMC2021004

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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