Amplitude-integrated EEG for neurological assessment and seizure detection in a German pediatric intensive care unit

• Verfasst von: Bruns, Nora [VerfasserIn]
• Verfasst von: Weiß, Christel [VerfasserIn]
• Titel: Amplitude-integrated EEG for neurological assessment and seizure detection in a German pediatric intensive care unit
• Verf.angabe: Nora Bruns, Iciar Sanchez-Albisua, Christel Weiß, Eva Tschiedel, Christian Dohna-Schwake, Ursula Felderhoff-Müser and Hanna Müller
• E-Jahr: 2019
• Jahr: 28 August 2019
• Fussnoten: Gesehen am 18.11.2019
• Titel Quelle: Enthalten in: Frontiers in Pediatrics
• Ort Quelle: Lausanne : Frontiers Media, 2013
• Jahr Quelle: 2019
• Band/Heft Quelle: 7(2019) Artikel-Nummer 358, 10 Seiten
• ISSN Quelle: 2296-2360
• DOI: doi:10.3389/fped.2019.00358
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: aEEG
• Sach-SW: Amplitude integrated EEG
• Sach-SW: cEEG = continuous EEG
• Sach-SW: Continuous EEG
• Sach-SW: Neuromonitoring
• Sach-SW: Outcome
• Sach-SW: pediatric critical care
• Sach-SW: seizure
• K10plus-PPN: 1682038025

Abstract

Objective: The aim of our study was to assess the use of aEEG in our pediatric intensive care unit (PICU), indications for neuromonitoring and its findings, utility for seizure detection, and associations with outcome. Design: We retrospectively analyzed non-neonates who were treated in our PICU and received amplitude-integrated EEG (aEEG). Patients: 27 patients aged between 29 days and 10 0/12 years (median 7.3 months) were included, who received a total of 35 aEEGS. Measurements: aEEG tracings were assessed for background (BG) pattern and its evolution, seizures, and side differences using a visual classification (Hellström-Westas). Clinical data were collected from patients’ histories and analyzed for correlation with aEEG findings. Main results: While rare in early years, there was an increase in use over time. Most aEEGs were conducted because of (suspected) seizures or for management of antiepileptic treatment. aEEG had low sensitivity but high specificity for recognition of pathological BG pattern with reference to conventional EEG. Worsening of BG pattern or failure to improve was associated with death. Seizure detection rates by aEEG were higher than by clinical observation, especially for identification of non-convulsive epileptic state (ES). Side differences in aEEG were rare, but if present, they were associated with unilateral brain injury. Conclusions: aEEG is useful for the detection of seizures and ES in pediatric intensive care patients. Abnormal BG pattern and poor evolution of BG are negatively associated with survival. aEEG is a potential supplement to conventional EEG, facilitating long-term surveillance of cerebral function when continuous full-channel EEG is not available. Further investigation is needed.