Assessment of Organ Failure Risk Predictions in ICU

During this observational study, the investigators aim to assess the ability of ICU clinicians to predict the risk of impending organ failure and retrospectively compare it to the performance of previously published machine learning models. The central hypothesis of this study is that the treating physician can predict impending organ failure in adult ICU patients with similar accuracy as the best previously publishes machine learning models.

NCT Number	NCT06814327
Lead Sponsor	ETH Zurich Collaborators: Insel Gruppe AG, University Hospital Bern
Conditions	Circulatory Failure, Respiratory Failure, Renal Failure
Enrollment	499 participants
Start Date	2024-11-18
Primary Completion	2025-05-15 (estimated)
Study Completion	2026-05-15 (estimated)
Updated on ClinicalTrials.gov	2025-08-28