Clinical Neurophysiology Department, CHU Amiens, France; UR 7516, CHIMERE, University of Picardie Jules Verne, Amiens, France.
Clinical Neurophysiology Department, CHU Amiens, France.
Seizure. 2023 Feb;105:17-21. doi: 10.1016/j.seizure.2023.01.005. Epub 2023 Jan 13.
Because of SUDEP (Sudden and unexpected death in epilepsy) and other direct consequences of generalized tonic-clonic seizures, the use of efficient seizure detection tool may be helpful for patients, relatives and caregivers. We aimed to evaluate an under-mattress detection tool (EMFIT®) in real-life hospital conditions, in particular its sensitivity and false alarm rate (FAR), as well as its impact on patient care.
We carried out a retrospective study on a cohort of patients with epilepsy admitted between September 2017 and June 2021 to Amiens University Hospital for a video-EEG of at least 24 h, during which at least one epileptic seizure was recorded. All video-EEGs records were analyzed visually in order to assess the sensitivity of the under-mattress tool (triggering of the alarm) and to classify the seizure type (convulsive/non convulsive). We also considered whether nurses intervened during the seizure, and the time of their intervention if applicable. An additional prospective survey was conducted over 272 days to analyze the FAR of the tool.
A total of 220 seizures were included in the study, from 55 patients, including 23 convulsive seizures from 15 patients and 197 non-convulsive seizures. Sensitivity for convulsive seizure detection was 69.6%. As expected, none of the non-convulsive seizures was detected. The false alarm rate was 0.007/day. Median trigger time was 74 s, decreasing to 5 s for generalized tonic-clonic seizure. The frequency of nurses' intervention during convulsive seizures was significantly greater in case of the alarm triggering (100% vs 57%, p<0.02).
These results suggest that EMFIT® sensor is able to detect convulsive seizures with good sensitivity and low FAR, and allows caregivers to intervene more often in the event of a nocturnal seizure. This would be an interesting complementary tool to better secure the patients with epilepsy during hospitalization or at home.
由于癫痫猝死(SUDEP)和全身性强直阵挛性癫痫发作的其他直接后果,使用有效的癫痫发作检测工具可能对患者、亲属和护理人员有所帮助。我们旨在评估一种床垫下检测工具(EMFIT®)在真实医院环境中的性能,特别是其敏感性和假警报率(FAR),以及其对患者护理的影响。
我们对 2017 年 9 月至 2021 年 6 月期间因至少 24 小时视频脑电图检查而入住亚眠大学医院的癫痫患者队列进行了回顾性研究,在此期间记录了至少一次癫痫发作。所有视频脑电图记录均进行了视觉分析,以评估床垫下工具的敏感性(警报触发)并对发作类型(惊厥/非惊厥)进行分类。我们还考虑了护士是否在发作期间进行了干预,如果进行了干预,则考虑了干预的时间。还进行了一项为期 272 天的额外前瞻性调查,以分析工具的 FAR。
共有 55 名患者的 220 次发作纳入研究,包括 23 次惊厥发作和 197 次非惊厥发作。惊厥发作检测的敏感性为 69.6%。不出所料,没有检测到非惊厥发作。假警报率为 0.007/天。中位触发时间为 74 秒,全面性强直阵挛性癫痫发作时降至 5 秒。在惊厥性癫痫发作时,报警触发时护士干预的频率显著更高(100%比 57%,p<0.02)。
这些结果表明,EMFIT®传感器能够以良好的敏感性和低 FAR 检测惊厥性癫痫发作,并允许护理人员在夜间发作时更频繁地进行干预。这将是一种有趣的补充工具,可以在住院或在家中更好地保护癫痫患者的安全。