Diagnostic Accuracy of the Persyst Automated Seizure Detector in the Neonatal Population.

IF 2.5 4区 医学 Q3 NEUROSCIENCES Journal of integrative neuroscience Pub Date : 2024-08-19 DOI:10.31083/j.jin2308150
Eleanor Duckworth, Daniyal Motan, Kitty Howse, Stewart Boyd, Ronit Pressler, Maria Chalia
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Abstract

Background: Neonatal seizures are diagnostically challenging and predominantly electrographic-only. Multichannel video continuous electroencephalography (cEEG) is the gold standard investigation, however, out-of-hours access to neurophysiology support can be limited. Automated seizure detection algorithms (SDAs) are designed to detect changes in EEG data, translated into user-friendly seizure probability trends. The aim of this study was to evaluate the diagnostic accuracy of the Persyst neonatal SDA in an intensive care setting.

Methods: Single-centre retrospective service evaluation study in neonates undergoing cEEG during intensive care admission to Great Ormond Street Hospital (GOSH) between May 2019 and December 2022. Neonates with <44 weeks corrected gestational age, who had a cEEG recording duration >60 minutes, whilst inpatient in intensive care, were included in the study. One-hour cEEG clips were created for all cases (seizures detected) and controls (seizure-free) and analysed by the Persyst neonatal SDA. Expert neurophysiology reports of the cEEG recordings were used as the gold standard for diagnostic comparison. A receiver operating characteristic (ROC) curve was created using the highest seizure probability in each recording. Optimal seizure probability thresholds for sensitivity and specificity were identified.

Results: Eligibility screening produced 49 cases, and 49 seizure-free controls. Seizure prevalence within those patients eligible for the study, was approximately 19% with 35% mortality. The most common case seizure aetiology was hypoxic ischaemic injury (35%) followed by inborn errors of metabolism (18%). The ROC area under the curve was 0.94 with optimal probability thresholds 0.4 and 0.6. Applying a threshold of 0.6, produced 80% sensitivity and 98% specificity.

Conclusions: The Persyst neonatal SDA demonstrates high diagnostic accuracy in identifying neonatal seizures; comparable to the accuracy of the standard Persyst SDA in adult populations, other neonatal SDAs, and amplitude integrated EEG (aEEG). Overdiagnosis of seizures is a risk, particularly from cEEG recording artefact. To fully examine its clinical utility, further investigation of the Persyst neonatal SDA's accuracy is required, as well as confirming the optimal seizure probability thresholds in a larger patient cohort.

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Persyst 自动癫痫发作检测仪在新生儿群体中的诊断准确性。
背景:新生儿癫痫发作在诊断上具有挑战性,而且主要是电图检查。多通道视频连续脑电图(cEEG)是金标准的检查方法,但在非工作时间获得神经生理学支持的机会可能有限。自动癫痫发作检测算法(SDA)旨在检测脑电图数据的变化,并将其转化为用户友好的癫痫发作概率趋势。本研究旨在评估 Persyst 新生儿 SDA 在重症监护环境中的诊断准确性:单中心回顾性服务评估研究:2019 年 5 月至 2022 年 12 月期间,在大奥蒙德街医院(GOSH)重症监护室接受 cEEG 检查的新生儿。新生儿在重症监护室住院期间有 60 分钟的时间被纳入研究范围。为所有病例(检测到癫痫发作)和对照组(无癫痫发作)制作一小时 cEEG 片段,并由 Persyst 新生儿 SDA 进行分析。cEEG 记录的神经生理学专家报告被用作诊断比较的金标准。利用每次记录中的最高癫痫发作概率绘制接收者操作特征曲线(ROC)。结果:资格筛选产生了 49 个病例和 49 个无癫痫发作的对照组。符合研究条件的患者中,癫痫发作率约为 19%,死亡率为 35%。最常见的病例癫痫发作病因是缺氧缺血性损伤(35%),其次是先天性代谢异常(18%)。最佳概率阈值为 0.4 和 0.6 时,ROC 曲线下面积为 0.94。以 0.6 为阈值,灵敏度为 80%,特异度为 98%:结论:Persyst 新生儿 SDA 在识别新生儿癫痫发作方面具有很高的诊断准确性;与标准 Persyst SDA 在成人人群中的准确性、其他新生儿 SDA 和振幅综合脑电图(aEEG)相当。癫痫发作的过度诊断是一种风险,尤其是 cEEG 记录的伪影。为了充分检验其临床实用性,需要进一步研究 Persyst 新生儿 SDA 的准确性,并在更大的患者群中确认最佳癫痫发作概率阈值。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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