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Serum Potassium Prediction Using Machine Learning and Single-lead ECG

Serum Potassium Prediction Using Machine Learning and Single-lead ECG

Status
Withdrawn
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07493798
Enrollment
0
Registered
2026-03-25
Start date
2021-03-20
Completion date
2021-12-01
Last updated
2026-03-25

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

Conditions

Anticoagulants; Increased, Asthma, Atrial Fibrillation Rapid, Chronic Kidney Diseases, Chronic Obstructive Pulmonary Disease, Gout Flare, Heart Failure, Hypertensive Urgency, Infection

Brief summary

This is a retrospective study drawing on data from the Brigham and Women's Hospital Home Hospital Program's Database. Sociodemographic and clinical data from a training cohort were used to train a machine learning algorithm to predict blood potassium throughout a patient's admission. This algorithm was then validated in a validation cohort.

Interventions

OTHERPotassium estimation algorithm

Apply a machine learning algorithm to estimate a patient's potassium.

Sponsors

Brigham and Women's Hospital
Lead SponsorOTHER
Biofourmis Inc.
CollaboratorINDUSTRY

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

Was a subject in the Brigham and Women's Home Hospital study and has a completed record in the study's database.

Design outcomes

Primary

MeasureTime frameDescription
Serum potassium concentrationFrom date of admission to date of discharge, through study completion on average 7 days.Serum potassium, measured in millimol per liter

Secondary

MeasureTime frameDescription
HyperkalemiaFrom date of admission to date of discharge, through study completion on average 7 days.Serum potassium greater than 5.1 millimol per liter
HypokalemiaFrom date of admission to date of discharge, through study completion on average 7 days.Serum potassium less than 3.4 millimol per liter
NormokalemiaFrom date of admission to date of discharge, through study completion on average 7 days.Serum potassium between 3.4 and 5.1 millimol per liter
Serum potassium less than versus greater than or equal to 4 millimol per literFrom date of admission to date of discharge, through study completion on average 7 days.Serum potassium falling either less than versus greater than or equal to 4 millimol per liter

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORDavid Levine, MD MPH MA

Associate Physician

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 26, 2026