Automated Pupillometry for Coma Prognostication After Cardiac Arrest
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|ClinicalTrials.gov Identifier: NCT02607878|
Recruitment Status : Completed
First Posted : November 18, 2015
Last Update Posted : April 2, 2018
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|
|Cardiac Arrest Comatose|
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.
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 Type :||Observational|
|Actual Enrollment :||470 participants|
|Official Title:||Automated Pupillometry for Coma Prognostication After Cardiac Arrest|
|Actual Study Start Date :||January 2015|
|Actual Primary Completion Date :||March 2017|
|Actual Study Completion Date :||July 2017|
- Neurological outcome [ Time Frame: 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).
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02607878
|Erasme University Hospital|
|University Hospital, Grenoble|
|Charite University, Berlin, Germany|
|Azienda Ospedaliera San Gerardo di Monza|
|Catholic University of the Sacred Heart|
|Centre Hospitalier du Luxembourg|
|Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)|
|Lund University Hospital|
|CHUV, Lausanne University Hospital|
|Principal Investigator:||Mauro Oddo, MD||CHUV, Lausanne University Hospital, Switzerland|