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家庭录像能否有助于在发展中国家诊断癫痫类型?

Can home video facilitate diagnosis of epilepsy type in a developing country?

作者信息

Dash Deepa, Sharma Anubha, Yuvraj Kunwar, Renjith Appukutan, Mehta Santosh, Vasantha Padma Madakasira, Arora Amit, Tripathi Manjari

机构信息

All India Institute of Medical Sciences, New Delhi, India.

All India Institute of Medical Sciences, New Delhi, India.

出版信息

Epilepsy Res. 2016 Sep;125:19-23. doi: 10.1016/j.eplepsyres.2016.04.004. Epub 2016 May 12.

Abstract

OBJECTIVES

The study aimed to evaluate the feasibility and yield of semiological features from home videos and compare them to those inferred from history provided by the caregiver of a person with epilepsy (PWE). A comparison of the accuracy of classification of epilepsy based on home videos and medical history was also done.

METHODS

We enrolled PWEs who were awaiting admission for video electroencephalography (VEEG) to the epilepsy monitoring unit (EMU) in this prospective observational study. In phase I of the study, we encouraged caregivers to make home videos which were analyzed. A structured questionnaire dealing with 29 different semiological features was completed based on the information gathered from home videos. In phase II of the study, the questionnaire was administered to the patient's caregivers. In phase III the patients underwent VEEG recording, and the semiology from VEEG was analyzed to complete the same questionnaire. We also classified epilepsy type using home videos and medical history and compared it to that using VEEG finding. The information gathered from VEEG was considered the gold standard. Accuracy was calculated for the different semiological signs comparing medical history to VEEG findings.

RESULTS

A total of 340 PWE fulfilled the inclusion and exclusion criteria, and their caregivers completed the questionnaire. Home videos were collected from 312 patients and 624 seizures were analyzed. The mean number of signs of semiology recorded after analysis of home videos was 3.3±2.2, and from the medical history was 2.1±1.1 (P<0.01). A total of 572 seizures in 282 patients admitted in the EMU were evaluated on VEEG. Bilateral generalized clonic movements of limbs, motor movement around mouth, fear, visual phenomenon, hemisensory phenomenon, and post-ictal unilateral weakness had the highest accuracy. The overall agreement of semiological signs inferred from medical history versus VEEG was 0.75 and between home video recordings versus VEEG was 0.92. A larger number of patients were correctly categorized into the focal epilepsy group when home videos were used to classify compared to when medical history was used.

CONCLUSIONS

Home videos are more reliable in picking up semiological signs and classifying epilepsy type than history provided by caregivers of PWEs. Home videos are a complementary tool in a developing country like India.

摘要

目的

本研究旨在评估家庭录像中癫痫发作症状学特征的可行性和检出率,并将其与癫痫患者(PWE)照料者提供的病史中推断出的特征进行比较。还对基于家庭录像和病史的癫痫分类准确性进行了比较。

方法

在这项前瞻性观察研究中,我们纳入了等待进入癫痫监测单元(EMU)进行视频脑电图(VEEG)检查的癫痫患者。在研究的第一阶段,我们鼓励照料者制作家庭录像并进行分析。根据从家庭录像中收集的信息,完成一份涉及29种不同症状学特征的结构化问卷。在研究的第二阶段,向患者的照料者发放该问卷。在第三阶段,患者接受VEEG记录,并分析VEEG中的发作症状学以完成相同的问卷。我们还使用家庭录像和病史对癫痫类型进行分类,并将其与使用VEEG结果进行的分类进行比较。将从VEEG收集的信息视为金标准。计算不同症状学体征将病史与VEEG结果进行比较时的准确性。

结果

共有340名癫痫患者符合纳入和排除标准,其照料者完成了问卷。从312名患者处收集了家庭录像,并分析了624次癫痫发作。分析家庭录像后记录的症状学体征平均数量为3.3±2.2,从病史中记录的为2.1±1.1(P<0.01)。对EMU收治的282名患者中的572次癫痫发作进行了VEEG评估。肢体双侧阵挛性运动、口周运动、恐惧、视觉现象、偏身感觉现象和发作后单侧无力的准确性最高。从病史推断的症状学体征与VEEG之间的总体一致性为0.75,家庭录像记录与VEEG之间的总体一致性为0.92。与使用病史进行分类相比,使用家庭录像进行分类时,更多患者被正确归类为局灶性癫痫组。

结论

在识别症状学体征和癫痫类型分类方面,家庭录像比癫痫患者照料者提供的病史更可靠。在印度这样的发展中国家,家庭录像是一种辅助工具。

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