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Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol

INTRODUCTION: Approximately 20%–40% of comatose children with risk factors in intensive care have electrographic-only seizures; these go unrecognised due to the absence of continuous electroencephalography (EEG) monitoring (cEEG). Utility of cEEG with high-quality assessment is currently limited due...

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Autores principales: Waak, Michaela, Gibbons, Kristen, Sparkes, Louise, Harnischfeger, Jane, Gurr, Sandra, Schibler, Andreas, Slater, Anthony, Malone, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171209/
https://www.ncbi.nlm.nih.gov/pubmed/36691237
http://dx.doi.org/10.1136/bmjopen-2021-059301
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author Waak, Michaela
Gibbons, Kristen
Sparkes, Louise
Harnischfeger, Jane
Gurr, Sandra
Schibler, Andreas
Slater, Anthony
Malone, Stephen
author_facet Waak, Michaela
Gibbons, Kristen
Sparkes, Louise
Harnischfeger, Jane
Gurr, Sandra
Schibler, Andreas
Slater, Anthony
Malone, Stephen
author_sort Waak, Michaela
collection PubMed
description INTRODUCTION: Approximately 20%–40% of comatose children with risk factors in intensive care have electrographic-only seizures; these go unrecognised due to the absence of continuous electroencephalography (EEG) monitoring (cEEG). Utility of cEEG with high-quality assessment is currently limited due to high-resource requirements. New software analysis tools are available to facilitate bedside cEEG assessment using quantitative EEG (QEEG) trends. The primary aim of this study is to describe accuracy of interpretation of QEEG trends by paediatric intensive care unit (PICU) nurses compared with cEEG assessment by neurologist (standard clinical care) in children at risk of seizures and status epilepticus utilising diagnostic test statistics. The secondary aims are to determine time to seizure detection for QEEG users compared with standard clinical care and describe impact of confounders on accuracy of seizure detection. METHODS AND ANALYSIS: This will be a single-centre, prospective observational cohort study evaluating a paediatric QEEG programme utilising the full 19 electrode set. The setting will be a 36-bed quaternary PICU with medical, cardiac and general surgical cases. cEEG studies in PICU patients identified as ‘at risk of seizures’ will be analysed. Trained bedside clinical nurses will interpret the QEEG. Seizure events will be marked as seizures if >3 QEEG criteria occur. Post-hoc dedicated neurologists, who remain blinded to the QEEG analysis, will interpret the cEEG. Determination of standard test characteristics will assess the primary hypothesis. To calculate 95% (CIs) around the sensitivity and specificity estimates with a CI width of 10%, the sample size needed for sensitivity is 80 patients assuming each EEG will have approximately 9 to 18 1-hour epochs. ETHICS AND DISSEMINATION: The study has received approval by the Children’s Health Queensland Human Research Ethics Committee (HREC/19/QCHQ/58145). Results will be made available to the funders, critical care survivors and their caregivers, the relevant societies, and other researchers. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ANZCTR) 12621001471875.
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spelling pubmed-91712092022-06-16 Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol Waak, Michaela Gibbons, Kristen Sparkes, Louise Harnischfeger, Jane Gurr, Sandra Schibler, Andreas Slater, Anthony Malone, Stephen BMJ Open Intensive Care INTRODUCTION: Approximately 20%–40% of comatose children with risk factors in intensive care have electrographic-only seizures; these go unrecognised due to the absence of continuous electroencephalography (EEG) monitoring (cEEG). Utility of cEEG with high-quality assessment is currently limited due to high-resource requirements. New software analysis tools are available to facilitate bedside cEEG assessment using quantitative EEG (QEEG) trends. The primary aim of this study is to describe accuracy of interpretation of QEEG trends by paediatric intensive care unit (PICU) nurses compared with cEEG assessment by neurologist (standard clinical care) in children at risk of seizures and status epilepticus utilising diagnostic test statistics. The secondary aims are to determine time to seizure detection for QEEG users compared with standard clinical care and describe impact of confounders on accuracy of seizure detection. METHODS AND ANALYSIS: This will be a single-centre, prospective observational cohort study evaluating a paediatric QEEG programme utilising the full 19 electrode set. The setting will be a 36-bed quaternary PICU with medical, cardiac and general surgical cases. cEEG studies in PICU patients identified as ‘at risk of seizures’ will be analysed. Trained bedside clinical nurses will interpret the QEEG. Seizure events will be marked as seizures if >3 QEEG criteria occur. Post-hoc dedicated neurologists, who remain blinded to the QEEG analysis, will interpret the cEEG. Determination of standard test characteristics will assess the primary hypothesis. To calculate 95% (CIs) around the sensitivity and specificity estimates with a CI width of 10%, the sample size needed for sensitivity is 80 patients assuming each EEG will have approximately 9 to 18 1-hour epochs. ETHICS AND DISSEMINATION: The study has received approval by the Children’s Health Queensland Human Research Ethics Committee (HREC/19/QCHQ/58145). Results will be made available to the funders, critical care survivors and their caregivers, the relevant societies, and other researchers. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ANZCTR) 12621001471875. BMJ Publishing Group 2022-06-03 /pmc/articles/PMC9171209/ /pubmed/36691237 http://dx.doi.org/10.1136/bmjopen-2021-059301 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Intensive Care
Waak, Michaela
Gibbons, Kristen
Sparkes, Louise
Harnischfeger, Jane
Gurr, Sandra
Schibler, Andreas
Slater, Anthony
Malone, Stephen
Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title_full Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title_fullStr Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title_full_unstemmed Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title_short Real-time seizure detection in paediatric intensive care patients: the RESET child brain protocol
title_sort real-time seizure detection in paediatric intensive care patients: the reset child brain protocol
topic Intensive Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171209/
https://www.ncbi.nlm.nih.gov/pubmed/36691237
http://dx.doi.org/10.1136/bmjopen-2021-059301
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