Neurology Department, Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, China.
Imaging Department, Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, China.
BMC Neurol. 2024 Aug 14;24(1):285. doi: 10.1186/s12883-024-03796-9.
There is no standardized EEG duration guideline for detecting epileptiform abnormalities in patients, and research on this topic is scarce. This study aims to determine an optimal EEG duration for efficient detection of epileptiform abnormalities across different patient groups.
Retrospective analysis was performed on EEG recordings and clinical data of patients with the first seizure and epilepsy. Patients were categorized based on various factors, including the interval time since the last seizure, use of anti-seizure medication (ASM), and seizure frequency. The detection ratio (DR) of epileptiform abnormalities and latency time for their discovery were calculated. Statistical analyses, including chi-square tests, logistic regression, and survival analysis were utilized to illustrate DR and latency times.
In whole-night EEG recordings, the DR was 37.6% for the first seizure group and 57.4% for the epilepsy group. Although the maximum latency times were 720 min in both two groups, DR in the first seizure group was distinctly decreased beyond 300 min. Significant factors influencing the DR included the use of ASM in the first seizure group (P < 0.05) and seizure frequency in the epilepsy group (P < 0.001). For epilepsy patients who experience a seizure at least once a month or undergo timely EEG recordings (within 24 h after a seizure), the DR significantly increases, and the maximum latency time is reduced to 600 min (P < 0.001). Additionally, the DR was significantly reduced after 240 min in epilepsy patients who had been seizure-free for more than one year.
In this retrospective study, we observed a maximum latency of 720 min for detecting epileptiform abnormalities in whole-night EEG recordings. Notably, epilepsy patients with a higher seizure frequency or timely EEG recordings demonstrated both a higher detection ratio and a shorter maximum latency time. For patients exhibiting a low detection ratio, such as those experiencing their first seizure or those with epilepsy who have been seizure-free for more than a year, a shorter EEG duration is recommended. These findings underscore the importance of implementing customized EEG strategies to meet the specific needs of different patient groups.
目前尚无标准化的脑电图持续时间指南用于检测患者的癫痫样异常，并且针对该主题的研究很少。本研究旨在确定一种最佳的脑电图持续时间，以有效地检测不同患者群体中的癫痫样异常。
对首次发作和癫痫患者的脑电图记录和临床数据进行回顾性分析。根据各种因素（包括最后一次发作后的时间间隔、抗癫痫药物（ASM）的使用以及发作频率）对患者进行分类。计算癫痫样异常的检出率（DR）和发现其的潜伏期时间。使用卡方检验、逻辑回归和生存分析等统计分析方法来说明 DR 和潜伏期时间。
在整个夜间脑电图记录中，首次发作组的 DR 为 37.6%，癫痫组的 DR 为 57.4%。尽管两组的最大潜伏期时间均为 720 分钟，但首次发作组的 DR 在 300 分钟后明显降低。影响 DR 的显著因素包括首次发作组中 ASM 的使用（P<0.05）和癫痫组中的发作频率（P<0.001）。对于每月至少发作一次或及时进行脑电图记录（在发作后 24 小时内）的癫痫患者，DR 显著增加，最大潜伏期时间缩短至 600 分钟（P<0.001）。此外，对于无癫痫发作超过一年的癫痫患者，在 240 分钟后，DR 明显降低。
在这项回顾性研究中，我们观察到在整个夜间脑电图记录中检测到癫痫样异常的最大潜伏期为 720 分钟。值得注意的是，发作频率较高或及时进行脑电图记录的癫痫患者，其检测率更高，最大潜伏期时间更短。对于检测率较低的患者，例如首次发作或无癫痫发作超过一年的患者，建议缩短脑电图持续时间。这些发现强调了实施定制化脑电图策略的重要性，以满足不同患者群体的特定需求。
