A Prospective Trial of Nonconvulsive Electrographic Seizure Detection by Nurses in the Adult Neuro ICU Using a Panel of Quantitative EEG Trends

Status: Completed
Location: See location...
Study Type: Observational
SUMMARY

This research is being conducted to determine if Neuroscience intensive care unit (ICU) nurses are able to identify seizures by reviewing quantitative EEG (qEEG) that is running at the bedside. QEEG is the application of mathematical and analytical techniques to analyze EEG signals. Several hours of data can be displayed on a single screen in several graphical panels. Routine evaluation of EEG data consists of manual inspection of each page of EEG data by a trained neurophysiologist (a neuro ICU doctor) and can be quite time-consuming. In most cases, this data can only be reviewed intermittently and interpretation is almost always relayed to the primary clinical team after the seizures have occurred. Theoretically,qEEG graphical displays can provide a simplified view of complex EEG data that could possibly be used by non-neurophysiologists, such as Neuro ICU nurses. Our hypothesis is that Neuro ICU nurses are able to accurately identify recurrent seizures in real-time.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Age of 18 years or older at time of consent

• Patients undergoing cEEG monitoring to evaluate for the presence of NCS

• Admission or pending transfer to the adult Neuro ICU

• Informed consent by patient or patient's legally authorized representative (LAR)

• One or more NCS identified on cEEG monitoring, confirmed by the clinical neurophysiology team

Locations
United States
North Carolina
Duke University Medical Center
Durham
Time Frame
Start Date: 2015-01
Completion Date: 2019-02
Participants
Target number of participants: 20
Sponsors
Leads: Duke University

This content was sourced from clinicaltrials.gov