A Study of Artificial Intelligence for Detection of High Potassium Levels in the Emergency Department Using Multilead ECG Devices

Overview

About this study

The primary purpose of this study is to explore KardiaK performance in a controlled and comprehensive clinical setting, including collection of relevant data such as patient medical history, and medications affecting potassium.  In addition, it is intended to explore KardiaK performance when serial ECGs are recorded and to explore KardiaK performance using a 12-lead ECG and two novel ECG recording devices designed for home use.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Males and females, age 18 years of age and older.
  • Current evaluation with suspected or known hyperkalemia in the setting of kidney disease.

Note: For the sake of this pilot study, and for ease of recruitment, eGFR is not an exclusion criteria. KardiaK was trained and tested on ECGs from patients regardless of eGFR level, so we have no reason to believe the algorithm will not perform well on patients with preserved renal function.

Exclusion Criteria:

  • No history of left bundle branch block (LBBB).
  • No current evaluation for acute coronary syndrome, where ST segment changes and T wave inversions may occur and therefore affect interpretability of ECG.
     

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status

Rochester, Minn.

Mayo Clinic principal investigator

Paul Friedman, M.D.

Closed for enrollment

More information

Publications

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CLS-20456760

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