Prediction and Management of Acute Kidney Injury With Explainable Artificial Intelligence
NCT ID: NCT05937451
Last Updated: 2023-07-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
1438 participants
INTERVENTIONAL
2023-09-01
2025-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
SINGLE
Study Groups
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Intervention group
The intervention group receives the prediction results daily until the patient is discharged or up to 7 days after admission.
PRIME solution
The investigators will apply an AKI prediction model (PRIME solution) based on the patient's demographic. The investigators will collect data on vital signs, laboratory test results, medication history, and surgical records. The investigators provide information on whether AKI develops within 48 hours and the top 10 explanatory factors for predicting AKI to the physician.
Usual care group
The usual-care group does not receive analysis results. The user-care group continues the existing treatment.
No interventions assigned to this group
Interventions
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PRIME solution
The investigators will apply an AKI prediction model (PRIME solution) based on the patient's demographic. The investigators will collect data on vital signs, laboratory test results, medication history, and surgical records. The investigators provide information on whether AKI develops within 48 hours and the top 10 explanatory factors for predicting AKI to the physician.
Eligibility Criteria
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Inclusion Criteria
* Admitted to the Department of Nephrology, Geriatrics, Urology, Surgery, and Orthopedics
* written consent
Exclusion Criteria
* Patients who have been hospitalized for more than 8 days since the date of hospitalization
* Patients scheduled to be discharged the next day
* Patients with last measured serum creatinine greater than 4.0 mg/dL or less than Estimated Glomerular Filtration Fate Chronic Kidney Disease Epidemiology Collaboration (eGFR-CKD-EPI) 15 ml/min/1.73 m2
* Patients undergoing dialysis (Hemodialysis, peritoneal dialysis) due to end-stage renal disease
* Declined to participate
19 Years
ALL
No
Sponsors
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Seoul National University Hospital
OTHER
Responsible Party
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Sejoong Kim
Associated professor
Principal Investigators
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Sejoong Kim, MD, PhD
Role: STUDY_CHAIR
Seoul National University Bundang Hospital
Locations
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Bundang Seoul National University Hospital
Seongnam-si, Gyeonggi-do, South Korea
Countries
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Central Contacts
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Other Identifiers
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PRIME
Identifier Type: -
Identifier Source: org_study_id
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