Automated Pupillometry for Coma Prognostication After Cardiac Arrest

Sponsor
Centre Hospitalier Universitaire Vaudois (Other)
Overall Status
Completed
CT.gov ID
NCT02607878
Collaborator
Erasme University Hospital (Other), Azienda Ospedaliera San Gerardo di Monza (Other), Lund University Hospital (Other), University Hospital, Grenoble (Other), Catholic University of the Sacred Heart (Other), Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) (Other), Cochin University Hospital, Paris (Other), Charite University, Berlin, Germany (Other), Centre Hospitalier du Luxembourg (Other)
470
10
30
47
1.6

Study Details

Study Description

Brief Summary

Background: Sedation and therapeutic hypothermia (TH) delay neurological responses and might reduce the accuracy of clinical examination to predict outcome after cardiac arrest (CA). Electroencephalography (EEG) and somato-sensory evoked potentials (SSEP) might significantly improve prognostication of post-CA coma, however, EEG and SSEP are not always available and require specific expertise for their interpretation. Automated video pupillometry is a novel electronic device that contains an infrared light camera which enables to measure quantitatively the percentage of pupillary reaction to a calibrated light stimulation. In a recent study of a cohort of comatose CA survivors (n=50 patients) it was found that quantitative PLR was more accurate than standard PLR (manual pen light) in predicting 3-month outcome, irrespective of temperature and sedation, and had comparable prognostic accuracy than electrophysiological exams, including electroencephalography (EEG) and somato-sensory evoked potentials (SSEP).

Aim of the study: In light of these promising results, the investigators would like to confirm the prognostic value of quantitative PLR in a large multicenter cohort of comatose post-CA patients.

Design of the study: Prospective, multicenter, observational outcome trial.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Study: Prospective, multicenter study. The study will be double-blinded, i.e. the clinician/nurse performing the tests will not be involved in patient care and clinicians in charge of patients will not be aware of automated pupillometry data. Patient care will not be influenced by pupillometry.

    Patient population:

    The investigators plan to include 500 comatose post-CA patients. The centers have been selected based on their expertise and publication track record on the topic, and because they are actively involved in the Neurointensive Care section (NIC) of the European Society of Intensive Care Medicine (ESICM). The study will take place at the Department of Intensive Care of the participating centers.

    Patients will be managed according to standards of post-resuscitation care and based on local algorithms for the treatment of post-CA coma.

    Quantitative pupillary light reactivity (PLR, using the NeurOptics NPi-200 pupillometer) will be performed on ICU admission and then every 12 hours up to 72 hours after CA. At each time point, one measurement will be assessed on both eyes.

    The primary variables for analysis will be the neurological pupil index (NPi) and the pupil size for both eyes. Standard PLR using a manual pen light will be performed simultaneously at each time point, as part of standard care.

    EEG, SSEP and sampling for serum neuron specific enolase (NSE) will be performed at 24h and at 48-72h, according to local practices and as part of standard care.

    The predictive value of NPi will be analyzed using the area under the receiving operator characteristics (ROC) curve, and compared to that of standard PLR, EEG, SSEP and NSE: sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), unweighted accuracy, with 95% binomial confidence intervals, will be calculated. Associations with outcome will adjusted for main baseline demographics (age, initial CA arrest rhythm, time from CA to tROSC), dose of sedation-analgesia and vaso-active agents, and the SOFA score, using a logistic regression model.

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    470 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Automated Pupillometry for Coma Prognostication After Cardiac Arrest
    Actual Study Start Date :
    Jan 1, 2015
    Actual Primary Completion Date :
    Mar 1, 2017
    Actual Study Completion Date :
    Jul 1, 2017

    Outcome Measures

    Primary Outcome Measures

    1. Neurological outcome [3-6 months]

      Neurological outcome is assessed by a semi-structured telephone interview with the patient or the patient's relatives using the Glasgow-Pittsburgh Cerebral Performance Categories (CPC). The CPC result is then categorized as favorable outcome (CPC 1-2, including good recovery and moderate disability), vs. unfavorable outcome (CPC 3-5, including severe disability, vegetative state and death).

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Adult patients with coma after cardiac arrest (CA)

    • Glasgow Coma Scale (at inclusion): ≤ 6

    • Patients with CA due to ventricular fibrillation (VF) and non-VF (including asystole and pulseless electrical activity) rhythms

    • Cardiac and non-cardiac causes of CA will be included

    Exclusion Criteria:
    • Age < 18 years

    • Unable to obtain consent

    • Follow-up unavailable

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Erasme University Hospital Brussels Belgium
    2 University Hospital, Grenoble Grenoble France
    3 Cochin Hospital Paris France
    4 Charite University, Berlin, Germany Berlin Germany
    5 Azienda Ospedaliera San Gerardo di Monza Monza Italy
    6 Catholic University of the Sacred Heart Roma Italy
    7 Centre Hospitalier du Luxembourg Luxembourg Luxembourg
    8 Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA) Amsterdam Netherlands
    9 Lund University Hospital Lund Sweden
    10 CHUV, Lausanne University Hospital Lausanne Switzerland

    Sponsors and Collaborators

    • Centre Hospitalier Universitaire Vaudois
    • Erasme University Hospital
    • Azienda Ospedaliera San Gerardo di Monza
    • Lund University Hospital
    • University Hospital, Grenoble
    • Catholic University of the Sacred Heart
    • Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
    • Cochin University Hospital, Paris
    • Charite University, Berlin, Germany
    • Centre Hospitalier du Luxembourg

    Investigators

    • Principal Investigator: Mauro Oddo, MD, CHUV, Lausanne University Hospital, Switzerland

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Mauro ODDO, Médecin adjoint, PD-MER I, Centre Hospitalier Universitaire Vaudois
    ClinicalTrials.gov Identifier:
    NCT02607878
    Other Study ID Numbers:
    • 432/14
    First Posted:
    Nov 18, 2015
    Last Update Posted:
    Sep 16, 2021
    Last Verified:
    Sep 1, 2021
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Keywords provided by Mauro ODDO, Médecin adjoint, PD-MER I, Centre Hospitalier Universitaire Vaudois
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Sep 16, 2021