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连续脑电图的前 1 小时能否预测新生儿癫痫发作?

Does the first hour of continuous electroencephalography predict neonatal seizures?

机构信息

The Department of Paediatric Neurology, Starship Children's Health, Newmarket, New Zealand.

The Department of Paediatric Neurology, Starship Children's Health, Newmarket, New Zealand

出版信息

Arch Dis Child Fetal Neonatal Ed. 2021 Mar;106(2):162-167. doi: 10.1136/archdischild-2020-318985. Epub 2020 Sep 14.

DOI:10.1136/archdischild-2020-318985
PMID:32928896
Abstract

OBJECTIVE

Prolonged continuous video-electroencephalography (cEEG) is recommended for neonates at risk of seizures. The cost and expertise required to provide a real-time response to detected seizures often limits its utility. We hypothesised that the first hour of cEEG could predict subsequent seizures.

DESIGN AND SETTING

Retrospective multicentre diagnostic accuracy study.

PATIENTS

266 term neonates at risk of seizure or with suspected seizures.

INTERVENTION

The first hour of cEEG was graded by expert and novice interpreters as normal, mildly, moderately or severely abnormal; seizures were identified.

MAIN OUTCOME MEASURES

Association between abnormalities in the first hour of cEEG and the presence of seizures during total cEEG monitoring.

RESULTS

50/98 (51%) of neonates who developed seizures had their first seizure in the first hour of cEEG monitoring. The 'time-to-event' risk of seizure from 0 to 96 hours was 0.38 (95% CI 0.32 to 0.44) while the risk in the first hour was 0.19 (95% CI 0.15 to 0.24). cEEG background was normal in 48% of neonates, mildly abnormal in 30%, moderately abnormal in 13% and severely abnormal in 9%. Inter-rater agreement for determination of background was very good (weighted kappa=0.81, 95% CI 0.72 to 0.91). When neonates with seizures during the first hour were excluded, an abnormal background resulted in 2.4 times increased risk of seizures during the subsequent monitoring period (95% CI 1.3 to 4.4, p<0.003) while a severely abnormal background resulted in a sevenfold increased risk (95% CI 3.4 to 14.3, p<0.0001).

CONCLUSIONS

The first hour of cEEG in at-risk neonates is useful in identifying and predicting whether seizures occur during cEEG monitoring up to 96 hours. This finding enables identification of high-risk neonates who require closer observation.

摘要

目的

对有癫痫发作风险的新生儿推荐进行长时间连续视频脑电图(cEEG)监测。但由于实时检测到癫痫发作需要成本和专业知识,因此其应用受到限制。我们假设 cEEG 的前 1 小时可以预测随后的癫痫发作。

设计和设置

回顾性多中心诊断准确性研究。

患者

266 例有癫痫发作风险或疑似癫痫发作的足月新生儿。

干预

由专家和新手解释器对 cEEG 的前 1 小时进行评分,分为正常、轻度、中度或重度异常;确定癫痫发作。

主要观察指标

cEEG 前 1 小时异常与整个 cEEG 监测期间癫痫发作的存在之间的关联。

结果

50/98(51%)发生癫痫发作的新生儿在 cEEG 监测的前 1 小时内首次发作。从 0 到 96 小时的癫痫发作“时间事件”风险为 0.38(95%CI 0.32 至 0.44),而前 1 小时的风险为 0.19(95%CI 0.15 至 0.24)。48%的新生儿 cEEG 背景正常,30%轻度异常,13%中度异常,9%重度异常。背景判断的组内一致性非常好(加权κ=0.81,95%CI 0.72 至 0.91)。当排除前 1 小时内有癫痫发作的新生儿时,异常背景会使随后监测期间癫痫发作的风险增加 2.4 倍(95%CI 1.3 至 4.4,p<0.003),而严重异常背景会使风险增加 7 倍(95%CI 3.4 至 14.3,p<0.0001)。

结论

有癫痫发作风险的新生儿 cEEG 的前 1 小时有助于识别和预测 cEEG 监测期间是否发生癫痫发作,时间长达 96 小时。这一发现使我们能够识别出需要密切观察的高危新生儿。

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