Applicability of NeuroTrend as a bedside monitor in the neuro ICU. Issue 6 (June 2017)

• Record Type: Journal Article
• Authors: Herta, J.; Koren, J.; Fürbass, F.; Zöchmeister, A.; Hartmann, M.; Hosmann, A.; Baumgartner, C.; Gruber, A.
• Is Part Of: Clinical neurophysiology. Volume 128:Issue 6(2017:Jun.)
• Page Start: 1000
• Page End: 1007
• Publication Date: 2017-06
• Subjects: AC1 Gwet's multirater agreement coefficient of first-order -- AIT Austrian Institute of Technology -- aEEG amplitude integrated electroencephalography -- BMA biomedical analyst -- BS burst suppression -- CCET American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology -- cEEG continuous electroencephalography -- ESP electrographic seizure pattern -- EXO expert opinion -- FIRDA frontal intermittent rhythmic delta activity -- GCS Glasgow coma scale -- ICU intensive care unit -- IRA interrater agreement -- MRA multirater agreement -- NT NeuroTrend -- PD periodic discharge -- qEEG quantitative electroencephalography -- RAA rhythmic activity in the alpha range, "rhythmic alpha activity" -- RDA rhythmic delta activity -- RDA+S rhythmic delta activity plus seizures -- RTA rhythmic activity in the alpha range, "rhythmic theta activity" -- SIRPIDs stimulus-induced rhythmic, periodic, or ictal discharges -- SW spike wave; Epileptic seizure detection -- Nursing -- Interrater agreement -- Continuous EEG -- Intensive care unit -- Screening device -- Monitoring -- Periodic discharge -- Rhythmic and periodic patterns; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2017.04.002
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Proposal and guidance on how a computer algorithm may be used by ICU staff as a cEEG bedside monitor. High interrater agreement among nurses for EEG patterns that may indicate subclinical seizures. Large amount of prospectively recorded, randomized long-term video EEG data from two neuro ICUs. Abstract: Objective: To assess whether ICU caregivers can correctly read and interpret continuous EEG (cEEG) data displayed with the computer algorithm NeuroTrend (NT) with the main attention on seizure detection and determination of sedation depth. Methods: 120 screenshots of NT (480 h of cEEG) were rated by 18 briefly trained nurses and biomedical analysts. Multirater agreements (MRA) as well as interrater agreements (IRA) compared to an expert opinion (EXO) were calculated for items such as pattern type, pattern location, interruption of recording, seizure suspicion, consistency of frequency, seizure tendency and level of sedation. Results: MRA as well as IRA were almost perfect (80–100%) for interruption of recording, spike-and-waves, rhythmic delta activity and burst suppression. A substantial agreement (60–80%) was found for electrographic seizure patterns, periodic discharges and seizure suspicion. Except for pattern localization (70.83–92.26%), items requiring a precondition and especially those who needed interpretation like consistency of frequency (47.47–79.15%) or level of sedation (41.10%) showed lower agreements. Conclusions: The present study demonstrates that NT might be a useful bedside monitor in cases of subclinical seizures. Determination of correct sedation depth by ICU caregivers requires a more detailed training. Significance: Computer algorithms may reduce the workload of cEEG analysis in ICU patients.