Prediction of Post-Dialysis Potassium Concentration in Hemodialysis Patients Using AI

Prediction of Post-Dialysis Potassium Concentration in Hemodialysis Patients Using Artificial Intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-jRCT1050220155

Enrollment

2000

Registered

2023-01-22

Start date

2023-01-22

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

End-Stage Renal Disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients undergoing hemodialysis at Osaka Metropolitan University Hospital, Artificial Kidney Department by the time of publication of jRCT.

Exclusion criteria

Exclusion criteria: 1. cases in which hemodialysis could not be completed for any reason 2. cases of acute renal failure 3. emergency dialysis cases

Design outcomes

Primary

Measure	Time frame
post-dialysis potassium concentration	—

Contacts

Public ContactToshihide Naganuma

Department of Urology, Osaka Metropolitan University

spxd48k9@aria.ocn.ne.jp+81-6-6645-2393

Outcome results