AI software predicting acute kidney injury in ICU patients
The Cost-effectiveness of Artificial Intelligence Acute Kidney Injury Prediction Auxiliary Software (Acura AKI)
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
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 3600 (estimated) |
| Ages | 20 Years and up |
| Sex | All |
| Sponsor | Huede Healthtech Co., Ltd. Industry-sponsored |
| Locations | 1 site (Taichung) |
| Trial ID | NCT06685367 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: Other studies have shown promise in using AI for predicting acute kidney injury, but the specific implementation of the Acura AKI system is novel.
Eligibility criteria
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 this trial is running
Taichung
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.