AI software predicting acute kidney injury in ICU patients
Official title: The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)
Run by Huede Healthtech Co., Ltd. · NCT06685367 · Data updated 2026-11-12
This study is testing whether a new AI tool can help doctors predict and prevent kidney problems in ICU patients by alerting them when someone is at high risk.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 20 Years and up |
| Sex | All |
| Enrollment | 3600 (estimated) |
| Sponsor | Huede Healthtech Co., Ltd. Industry-sponsored |
| Locations | 1 site (Taichung) |
| Status | Recruiting |
| Started | October 17, 2024 |
| Main results expected | September 15, 2025 |
| Study ends | September 15, 2025 |
| Registry record updated | November 12, 2024 |
| Trial ID | NCT06685367 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults over 20 years old who are admitted to an adult ICU and have a hospital stay of more than 30 hours.
✕Probably not a fit
Patients who are already diagnosed with acute kidney injury, undergoing hemodialysis, or lack necessary test data will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The Acura AKI software utilizes machine learning algorithms to predict the risk of acute kidney injury (AKI) within the next 24 hours for patients in adult intensive care units (ICUs). This prospective randomized clinical trial will assess the effectiveness of the Acura AKI system in improving patient outcomes by enabling early intervention for high-risk patients. Physicians will receive alerts when a patient is identified as high-risk, allowing for timely adjustments in care, including medication and fluid management. The study will evaluate the cost-effectiveness of this approach by analyzing various outcomes such as AKI incidence, dialysis rates, mortality, and hospital stay length.
Why it matters
Potential benefit: If successful, this approach could significantly reduce the incidence of acute kidney injury and improve outcomes for critically ill patients.
How similar studies have gone: Other studies have shown promise in using AI for predicting acute kidney injury, but the specific implementation of the Acura AKI system is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
-
Taichung Veterans General Hospital (TCVGH)
Taichung, Taiwan Recruiting
Study contacts
- Principal investigator: Chun-Te Huang — Taichung Veterans General Hospital (TCVGH)
- Study coordinator: Chun-Te Huang
- Email: huangchunte@gmail.com
- Phone: +8864-23592525
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
FST Decision Support to Help Timely Therapy for Kids with AKI Risk
This study tests whether adding a clinical decision support tool to the electronic medical record helps clinicians use the furosemide stress test in critically ill children at high risk for severe AKI.
-
Epidemiology and care for dialysis in ICU patients with severe acute kidney injury in Latin America
This project will collect and compare data on adults in ICUs across Latin America who need dialysis for severe acute kidney injury to see how they are treated and what outcomes they have.
-
Comparing two methods of renal replacement therapy for patients on ECMO
This study is testing two different ways to provide kidney treatment for patients on ECMO to see which method causes fewer complications like infections and bleeding.
-
Using albumin to improve recovery in critically ill patients with acute kidney injury
This study is testing whether giving critically ill patients with acute kidney injury a special type of albumin instead of regular saline can help them recover better and need less kidney treatment.
-
Comparing sodium levels in dialysis for ICU patients with kidney injury
This study is testing if using a lower sodium level in dialysis can help ICU patients with kidney injury feel more stable and avoid extra fluid buildup.
-
Remote Ischemic Preconditioning at Different Times After Heart Valve Surgery
This study tests whether applying brief, controlled blood-flow restrictions to a limb at different times after heart valve surgery can help protect organs and reduce complications like kidney injury.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.