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Assessment of Organ Failure Risk Predictions in ICU

NCT06814327 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 499

Last updated 2025-08-28

No results posted yet for this study

Summary

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.

Conditions

Sponsors & Collaborators

  • Insel Gruppe AG, University Hospital Bern

    collaborator OTHER

  • ETH Zurich

    lead OTHER

Principal Investigators

  • Martin Faltys, Dr. med. · Insel Gruppe AG, University Hospital Bern

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-11-18
Primary Completion
2025-05-15
Completion
2026-05-15

Countries

  • Switzerland

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06814327 on ClinicalTrials.gov