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The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)

The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06685367
Enrollment
3600
Registered
2024-11-12
Start date
2024-10-17
Completion date
2025-09-15
Last updated
2024-11-12

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

Conditions

Acute Kidney Injury, Intensive Care, Renal Replacement Therapy

Keywords

Acute Kidney Injury, Intensive Care Units, Critical Ill, Prevention, Artificial Intelligence, Machine Learning, Clinical Decision Support System, Dialysis, Renal Replacement Therapy, Cost-effectiveness

Brief summary

Huede AI Aided AKI Prediction Software, Acura AKI, uses machine learning algorithms to predict the risk of AKI within the next 24 hours and provide a ranking of feature importance. By using Acura AKI, physicians can assess the risk of AKI, focusing on high-risk patients to provide care decisions. This study will be conducted in a prospective randomized clinical trial in adult ICUs, implementing the Acura AKI system for predicting AKI. The study aims to determine whether early prediction and intervention using the Acura AKI system can improve the outcomes of critically ill patients with adverse kidney conditions. The study endpoint is to evaluate the cost-effectiveness of using Acura AKI, including the incidence of AKI, dialysis rates, mortality rates, length of hospital stay, and treatment costs.

Detailed description

Huede AI Aided AKI Prediction Software, Acura AKI, uses machine learning algorithms to predict the risk of AKI within the next 24 hours. It has undergone cross-hospital validation at four medical centers in Taiwan (Taichung Veterans General Hospital, Mackay Memorial Hospital, National Cheng Kung University Hospital, and Kaohsiung Medical University Hospital), successfully obtaining invention patents in Taiwan and the United States, as well as receiving a software medical device license from the Taiwan Food and Drug Administration. Acura AKI is installed on the hospital's servers, where it processes patient physiological data, laboratory parameters, and medication information to infer the risk of AKI occurring within 24 hours. It also provides a ranking of feature importance. By using Acura AKI, physicians can assess the risk of AKI, focusing on high-risk patients to provide care decisions. This study will be conducted in a prospective randomized clinical trial in adult ICUs, implementing the Acura AKI system for predicting AKI. In the intervention group with Acura AKI system, physicians will be proactively notified via sending alarm message when Acura AKI identifies a high-risk patient population. After receiving alarm message, physicians and pharmacists will provide feedback and recommendations, including blood pressure, fluid management, infusion options, medication adjustment suggestions, and dialysis recommendations. The study aims to determine whether early prediction and intervention using the Acura AKI system can improve the outcomes of critically ill patients with adverse kidney conditions. Additionally, the researchers will collect 20ml of urine from Acura AKI identified patients to test for urinary biomarkers predictive of AKI then verify the performance of Acura AKI with these urinary biomarkers. The study endpoint is to evaluate the cost-effectiveness of using Acura AKI, including the incidence of AKI, dialysis rates, mortality rates, length of hospital stay, and treatment costs.

Interventions

DEVICEAcura AKI

When the AI algorithm (Acura AKI) identifies a high-risk AKI patient, nephrologists and ICU pharmacists will receive an alert message. Upon receiving the alert, they will review the patient's electronic health record and make treatment suggestions based on AKI bundle care protocols. They will also coordinate with the patient's primary care team to ensure that the recommendations are implemented

Sponsors

Huede Healthtech Co., Ltd.
Lead SponsorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)

Eligibility

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

Inclusion criteria

* Over 20 years old * Admitted to adult ICU * Hospital stay of more than 30 hours

Exclusion criteria

* Known to have acute kidney injury at enrollment * Currently undergoing hemodialysis treatment * No available blood or urine test data * Pregnant women * HIV-positive patients * Those who have not provided informed consent form * Regarded as unsuitable for inclusion in the trial by the researcher

Design outcomes

Primary

MeasureTime frameDescription
Acute kidney injury (AKI) incidenceAssessed from time of randomization to time of AKI occurrence (within 7 days post randomization)Acute kidney injury (AKI) incidence in ICU. AKI is defined by an increase in KDIGO creatinine stage.

Secondary

MeasureTime frameDescription
Dialysis rateAssessed from time of randomization to time of receipt of inpatient dialysis (within 14 days post randomization)Dialysis is defined by the receipt of hemodialysis, continuous renal replacement therapy or peritoneal dialysis. Isolated ultrafiltration treatments (for the purpose of volume removal) will not be included.
Mortality rateAssessed from time of randomization to date of death from any cause, within 14 days of randomizationMortality will be determined from hospital administrative records
Percentage of recommendations implemented by the primary care team.24 hours after RandomizationUpon receiving the alert message from the AI algorithm (Acura AKI), nephrologists and ICU pharmacists will review the patient's electronic health record and make treatment suggestions based on AKI bundle care protocols. They will also coordinate with the patient's primary care team to ensure that the recommendations are implemented
Change in treatment costsAssessed from time of randomization to 60 days post hospital discharge date, accessed up to 90 days1. Hospital Services \[Room and board (inpatient stays), Intensive care unit (ICU) fees, Emergency department charges, Operating room fees, and Recovery room fees\] 2. Professional Fees \[Physician services (e.g., consultations, surgery, anesthesia), Nursing services, and Therapist services (physical, occupational, respiratory)\] 3. Diagnostic Services \[Laboratory tests (blood tests, urine tests), Imaging studies (X-rays, MRI, CT scans), Biopsies, Electrocardiograms (EKGs), and Other diagnostic procedures\] 4. Medication and Pharmacy \[Prescription drugs, Intravenous medications, and Anesthesia drugs\] 5. Medical Supplies and Equipment \[Surgical supplies, Disposable supplies (syringes, bandages), and Prosthetics and orthotics\] 6. Rehabilitation Services \[Physical therapy, Occupational therapy, Speech therapy, Cardiac rehabilitation\]
Long term dialysisFrom hospital discharge date up to 90 days post discharge dateReceive regular dialysis
Length of hospital stayAssessed from time of randomization to date of hospital discharge, assessed up to 30 daysThe total days of hospitalization stay

Countries

Taiwan

Contacts

Primary ContactChun-Te Huang
huangchunte@gmail.com+8864-23592525

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026