Study Status: Recruiting
Recruit Status: Recruiting
Study Type: Observational
Official Title: Automated Pupillometry for Coma Prognostication After Cardiac Arrest
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.