Prediction and Management of Acute Kidney Injury With Explainable Artificial Intelligence

NCT ID: NCT05937451

Last Updated: 2023-07-28

Study Results

Results pending

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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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

1438 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-09-01

Study Completion Date

2025-12-31

Brief Summary

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The goal of this clinical trial is to compare the occurrence of acute kidney injury (AKI) in inpatients when information from the 'PRIME solution' (AKI prediction program utilizing artificial intelligence) is provided. The main questions it aims to answer are: •\[When Artificial intelligence (AI) provides information regarding AKI occurrence prediction within 48 hours, what would change in the physician's behavior?\] •\[If provided with AI information, what would be the incidence of AKI, severe AKI (stage 2 or 3), kidney replacement therapy, and changes in mortality during hospitalization?\] In the case of the intervention group that receives AI information, autonomous treatment is conducted by referring to AI prediction information. Researchers will compare it with a usual-care group that does not receive AI prediction results.

Detailed Description

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The investigators designed a prospective, investigator-initiated, single-center, single-blinded, randomized controlled study with two experimental groups. A total of 1438 participants with hospitalized patients will be enrolled and randomized into two groups; intervention or usual-care groups. The investigators will apply an AKI prediction model 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. The intervention group receives the prediction results daily until the patient is discharged or up to 7 days after admission. The usual-care group does not receive analysis results.

Conditions

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Acute Kidney Injury

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Participants

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.

Group Type ACTIVE_COMPARATOR

PRIME solution

Intervention Type OTHER

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.

Group Type NO_INTERVENTION

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Inpatients aged \> 18 years
* Admitted to the Department of Nephrology, Geriatrics, Urology, Surgery, and Orthopedics
* written consent

Exclusion Criteria

* Patients with a scheduled hospital stay of 2 days or less
* 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
Minimum Eligible Age

19 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Seoul National University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Sejoong Kim

Associated professor

Responsibility Role PRINCIPAL_INVESTIGATOR

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

Site Status

Countries

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South Korea

Central Contacts

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Sejoong Kim, MD, PhD

Role: CONTACT

+821094964899

Giae Yun, MD

Role: CONTACT

+821063268313

Other Identifiers

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PRIME

Identifier Type: -

Identifier Source: org_study_id

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