Lorenzo Peluso, Lorenzo Ferlini, Marta Talamonti, Narcisse Ndieugnou Djangang, Elisa Gouvea Bogossian, Marco Menozzi, Filippo Annoni, Elisabetta Macchini, Benjamin Legros, Paolo Severgnini, Jacques Creteur, Mauro Oddo, Jean-Louis Vincent, Nicolas Gaspard, Fabio Silvio Taccone
Background: Electroencephalography (EEG) is widely used to monitor critically ill patients. However, EEG interpretation requires the presence of an experienced neurophysiologist and is time-consuming. Aim of this study was to evaluate whether parameters derived from an automated pupillometer (AP) might help to assess the degree of cerebral dysfunction in critically ill patients. Methods: Prospective study conducted in the Department of Intensive Care of Erasme University Hospital in Brussels, Belgium...
2022: Frontiers in Neurology