Assessing organ failure risk predictions in ICU patients
Prospective Assessment of Risk Predictions of Organ Failure in the Intensive Care Unit - Comparing Accuracy of Human and AI Risk Predictions
This study is testing whether ICU doctors can accurately predict the risk of organ failure in patients compared to predictions made by machine learning models.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 690 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | ETH Zurich Academic / other |
| Locations | 1 site (Bern) |
| Trial ID | NCT06814327 on ClinicalTrials.gov |
What this trial studies
This observational study evaluates the ability of ICU clinicians to predict the risk of impending organ failure and compares their predictions to machine learning models. Clinicians will assess the imminent organ failure risk in adult ICU patients, focusing primarily on circulatory failure, while also examining respiratory and renal failure. The study will collect data through questionnaires filled out by both treating and non-treating clinicians. Additionally, AI-generated risk scores will be retrospectively calculated and benchmarked against clinician assessments to determine the accuracy and reliability of both approaches.
Who should consider this trial
Good fit: Ideal candidates for this study are adult patients aged 18 and older who are admitted to the ICU under emergency conditions and have an arterial line in place.
Not a fit: Patients with neurologic conditions impairing consciousness or those receiving end-of-life care are unlikely to benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of organ failure risk predictions, leading to improved patient outcomes in the ICU.
How similar studies have performed: Other studies have shown promising results in using machine learning for predicting clinical outcomes, but this specific comparison of clinician predictions to AI models is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * patient minimum age of 18 years * emergency admission to the ICU * arterial line in place Exclusion Criteria: * documented refusal (on the general consent form) to participate to clinical research * patients with neurologic conditions that impair the patient's level of consciousness (including, but not limited to stroke, traumatic brain injury, intracranial hemorrhage, CNS infections; except polytrauma) * patients on mechanical circulatory support systems (IABP, VA-ECMO, Impella, VAD) or extracorporeal membrane oxygenation (VV-ECMO) at any time during their ICU stay; * patients receiving end-of-life care or are admitted for the sole purpose of evaluating organ donation
Where this trial is running
Bern
- University Hospital Inselspital, Berne — Bern, Switzerland (Recruiting)
Study contacts
- Principal investigator: Martin Faltys, Dr. med. — Insel Gruppe AG, University Hospital Bern
- Study coordinator: Gunnar Professor Dr. rer. nat.
- Email: raetsch@ethz.ch
- Phone: +41 44 632 20 36
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.