Queensland Children's Hospital Paediatric Intensive Care Unit, South Brisbane, Queensland, Australia
Centre for Children's Health Research, Brisbane, Queensland, Australia.
BMJ Open. 2022 Jun 3;12(6):e059301. doi: 10.1136/bmjopen-2021-059301.
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.
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.
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.
Australian New Zealand Clinical Trials Registry (ANZCTR) 12621001471875.
大约 20%-40%在重症监护病房有风险因素的昏迷儿童存在仅有脑电图的癫痫发作;由于缺乏连续脑电图 (EEG) 监测 (cEEG),这些发作未被识别。由于需要高资源,目前具有高质量评估的 cEEG 的实用性受到限制。新的软件分析工具可用于使用定量脑电图 (QEEG) 趋势来促进床边 cEEG 评估。这项研究的主要目的是描述儿科重症监护病房 (PICU) 护士通过 QEEG 趋势解释与神经科医生 (标准临床护理) 相比对有癫痫发作和癫痫持续状态风险的儿童的 cEEG 评估的准确性,使用诊断测试统计数据。次要目标是确定 QEEG 用户与标准临床护理相比检测到癫痫发作的时间,并描述混杂因素对检测准确性的影响。
这将是一项单中心前瞻性观察队列研究,评估利用完整的 19 个电极组的儿科 QEEG 方案。该研究将在有内科、心脏和普通外科病例的 36 张病床的四级 PICU 中进行。将分析 PICU 患者的 cEEG 研究,这些患者被确定为“有癫痫发作风险”。经过培训的床边临床护士将解释 QEEG。如果 >3 QEEG 标准发生,则将事件标记为癫痫发作。事后,专门的神经科医生(仍对 QEEG 分析保持盲法)将解释 cEEG。确定标准测试特征将评估主要假设。为了计算敏感性和特异性估计值的 95%(CI),置信区间宽度为 10%,假设每个脑电图将有大约 9 到 18 个 1 小时的时段,则需要 80 名患者进行敏感性测试。
该研究已获得昆士兰儿童健康人类研究伦理委员会 (HREC/19/QCHQ/58145) 的批准。研究结果将提供给资助者、重症监护幸存者及其照顾者、相关学会和其他研究人员。
澳大利亚和新西兰临床试验注册中心 (ANZCTR) 12621001471875。