Suppr超能文献

癫痫监测单元(EMU)入院前最后一次发作到入院时间对癫痫分类的影响。

The impact of the time to last seizure before admission to the epilepsy monitoring unit (EMU) on epilepsy classifications.

机构信息

Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.

Department of Neurosciences, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.

出版信息

Epilepsy Behav. 2023 Jul;144:109252. doi: 10.1016/j.yebeh.2023.109252. Epub 2023 May 17.

Abstract

INTRODUCTION AND BACKGROUND

The impact of the timing of the last seizure (TTLS) prior to admission to the epilepsy monitoring unit (EMU) on epilepsy classification is unclear for which we conducted this study.

METHODS

We reviewed patients with epilepsy admitted to EMU between January 2021 and April 2022 and identified TTLS before EMU admission. We considered EMU yield as whether; it confirmed epilepsy classification, added new knowledge to the classification, or failed to classify epilepsy.

RESULTS

We studied 156 patients. There were 72 (46%) men, with a mean age of 30. TTLS was divided according to a one- or three-month cutoff. We confirmed the pre-EMU epilepsy classification in 52 (33%) patients, learned new findings on epilepsy classification in 80 (51%) patients, and failed to classify epilepsy in 24 (15%) patients. Patients with "confirmed epilepsy classifications" reported seizures sooner to EMU admission than other groups (0.7 vs. 2.3 months, p-value = 0.02, 95% CI; -1.8, -1.3). Also, the odds of confirming epilepsy classification were more than two times in patients with TTLS within a month compared to those with TTLS of more than a month (OR = 2.4, p-value = 0.04, 95% CI; 1.1, 5.9). The odds were also higher when the 3-month TTLS cutoff was considered (OR = 6.2, p-value = 0.002, 95% CI; 1.6, 40.2). Confirming epilepsy classification was also associated with earlier seizures recorded at one- or three-month cutoff (OR = 2.1 and OR = 2.3, respectively, p-value = 0.05). We did not observe similar findings when we modified the classification or failed to reach a classification.

CONCLUSIONS

The timing of the last seizure before EMU admission appeared to influence the yield of EMU and enhanced the confirmation of epilepsy classifications. Such findings can improve the utilization of EMU in the presurgical evaluation of patients with epilepsy.

摘要

引言和背景

目前尚不清楚癫痫监测单元(EMU)入院前最后一次发作(TTLS)的时间对癫痫分类的影响,为此我们开展了这项研究。

方法

我们回顾了 2021 年 1 月至 2022 年 4 月期间入住 EMU 的癫痫患者,并确定了 EMU 入院前的 TTLS。我们将 EMU 的检出率定义为:是否确认癫痫分类、为分类增加新知识或未能分类癫痫。

结果

我们研究了 156 例患者,其中 72 例(46%)为男性,平均年龄为 30 岁。根据一个月或三个月的截止时间对 TTLS 进行了划分。我们在 52 例(33%)患者中确认了 EMU 前的癫痫分类,在 80 例(51%)患者中发现了新的癫痫分类信息,在 24 例(15%)患者中未能分类癫痫。与其他组相比,“确认癫痫分类”的患者向 EMU 入院报告发作的时间更早(0.7 与 2.3 个月,p 值=0.02,95%CI;-1.8,-1.3)。此外,与 TTLS 超过一个月的患者相比,TTLS 一个月内的患者确认癫痫分类的几率高出两倍以上(OR=2.4,p 值=0.04,95%CI;1.1,5.9)。当考虑 3 个月 TTLS 截止时间时,这种几率也更高(OR=6.2,p 值=0.002,95%CI;1.6,40.2)。在一个月或三个月的截止时间记录到更早的发作时,确认癫痫分类的几率也更高(OR=2.1 和 OR=2.3,p 值=0.05)。当我们修改分类或未能得出分类时,我们没有观察到类似的发现。

结论

EMU 入院前最后一次发作的时间似乎影响了 EMU 的检出率,并增强了癫痫分类的确认。这些发现可以改善 EMU 在癫痫患者术前评估中的应用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验