System do Monitorowania Mózgu Pacjentów na Oddziale Intensywnej Opieki
Neurosteer Bedside Monitoring System
W skrócie
Badanie ocenia nowe urządzenie, które monitoruje aktywność mózgu pacjentów podłączonych do respiratora na oddziale intensywnej opieki, aby lepiej ocenić ich poziom sedacji i pobudzenia. Pacjenci otrzymują niewielki czujnik przytwierdzony do czoła, który odczytuje sygnały z mózgu, oraz słuchają dźwięków przez słuchawki w określonych momentach dnia. Badanie obejmuje 100 pacjentów, z czego połowa ma ostre uszkodzenia mózgu, a wyniki z nowego urządzenia porównuje się ze standardowymi metodami oceny.
Oryginalny opis (angielski)
The purpose of this study is to evaluate the clinical utility of Neurosteer's brain monitoring platform for monitoring delirium, sedation, and agitation in intubated and sedated ICU patients. The research team will be conducting a single-site study. The research team will enroll 100 patients admitted to the NSICU. 50 of these patients will have Acute Neurological Injuries (ANI) and the other 50 will not have an ANI. All enrolled patients will receive the intervention, the Neurosteer brain monitoring device.
The study intervention consists of the use of Neurosteer's innovative single-channel EEG monitoring device to determine if there is a good correlation and agreement between their signals/parameters to RASS, CAM-ICU, and continuous EEG monitoring readings. The Neurosteer device will be attached to their forehead and readings will be collected for the duration of their NSICU stay. The research team will adapt the current physical methods of detecting the depth of anesthesia i.e. through the Richmond Agitation-Sedation Scale (RASS) \& CAM-ICU, to auditory stimulation, which will be delivered through earphones with no physical contact, with the aim of achieving a high correlation between the methods. RASS and CAM-ICU will be collected hourly as standard of care and Neurosteer auditory stimulation will be done 3-4 times a day to coincide with RASS and 1-2 times a day to coincide with CAM-ICU. The research team will correlate collected hourly RASS and CAM-ICU assessments with Neurosteer derived signals and parameters.