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Study on Early Brain Function Assessment Using Automated Pupillometry and Near-Infrared Spectroscopy in Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation eCPR

Led by Medical University of Vienna · Updated on 2026-05-14

45

Participants Needed

1

Research Sites

17 weeks

Total Duration

AI-Summary

What this Trial Is About

This research focuses on patients who are considered for extracorporeal cardiopulmonary resuscitation eCPR, a rescue treatment using extracorporeal membrane oxygenation ECMO to support the heart and lungs during cardiac arrest. The study aims to explore whether it is possible to perform neuroprognostication very early, even before ECMO starts, using automated pupillometry and cerebral near-infrared spectroscopy cNIRS. This could help improve patient selection and predict neurological outcomes sooner than current guidelines recommending assessments 72 hours after cardiac arrest. Participants will have their pupils assessed with an automated pupillometry device and their brain oxygen levels monitored using a cerebral near-infrared spectroscopy system. These measurements will be taken before ECMO initiation, shortly after ECMO starts at several intervals within the first three hours, and during follow-up at 24, 48, and 72 hours after ECMO initiation. The study will evaluate the feasibility of these early assessments and collect data to analyze neurological outcomes and survival at 1, 6, and 12 months. During the study, patients will undergo repeated non-invasive monitoring using these diagnostic tests without affecting their clinical treatment. Researchers will record and interpret the measurements to determine the reliability and usefulness of early neuroprognostication. The study will monitor neurological outcome and mortality over time to understand the potential predictive value of these early assessments. Participation duration varies with the follow-up period extending up to one year after treatment.

CONDITIONS

Brief Title

PERCEPTION - Super-Early Neuroprognostication in eCPR Patients

Research Team

J

Jürgen Grafeender, MD, PhD

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