J Herta1, J Koren2, F Fürbass3, A Zöchmeister4, M Hartmann3, A Hosmann4, C Baumgartner5, A Gruber4. 1. Department of Neurosurgery, Medical University of Vienna, Vienna, Austria. Electronic address: johannes.herta@meduniwien.ac.at. 2. Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, 2nd Neurological Department, General Hospital Hietzing with Neurological Center Rosenhuegel, Vienna, Austria. 3. AIT Austrian Institute of Technology GmbH, Digital Safety & Security Department, Vienna, Austria. 4. Department of Neurosurgery, Medical University of Vienna, Vienna, Austria. 5. Karl Landsteiner Institute for Clinical Epilepsy Research and Cognitive Neurology, 2nd Neurological Department, General Hospital Hietzing with Neurological Center Rosenhuegel, Vienna, Austria; Department of Epileptology and Clinical Neurophysiology, Sigmund Freud University, Vienna, Austria.
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 (480h 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.
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 (480h 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.
Authors: Nicholas West; Paul B McBeth; Sonia M Brodie; Klaske van Heusden; Sarah Sunderland; Guy A Dumont; Donald E G Griesdale; J Mark Ansermino; Matthias Görges Journal: J Clin Monit Comput Date: 2018-02-20 Impact factor: 2.502
Authors: Ayham Alkhachroum; Saptharishi Lalgudi Ganesan; Johannes P Koren; Julie Kromm; Nina Massad; Renz A Reyes; Michael R Miller; David Roh; Sachin Agarwal; Soojin Park; Jan Claassen Journal: Neurocrit Care Date: 2021-11-17 Impact factor: 3.210
Authors: Francisco Almeida Lobo; Susana Vacas; Andrea O Rossetti; Chiara Robba; Fabio Silvio Taccone Journal: Best Pract Res Clin Anaesthesiol Date: 2020-10-31
Authors: Johannes P Koren; Johannes Herta; Franz Fürbass; Susanne Pirker; Veronika Reiner-Deitemyer; Franz Riederer; Julia Flechsenhar; Manfred Hartmann; Tilmann Kluge; Christoph Baumgartner Journal: Front Neurol Date: 2018-06-19 Impact factor: 4.003