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使用应用日记实现癫痫发作的高精度自我报告。

High precision in epileptic seizure self-reporting with an app diary.

机构信息

Department of Neurosurgery, Epilepsy Center, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Department of Microsystems Engineering (IMTEK), Faculty of Engineering, University of Freiburg, Freiburg, Germany.

出版信息

Sci Rep. 2024 Jul 9;14(1):15823. doi: 10.1038/s41598-024-66932-y.

Abstract

People with epilepsy frequently under- or inaccurately report their seizures, which poses a challenge for evaluating their treatment. The introduction of epilepsy health apps provides a novel approach that could improve seizure documentation. This study assessed the documentation performance of an app-based seizure diary and a conventional paper seizure diary. At two tertiary epilepsy centers patients were asked to use one of two offered methods to report their seizures (paper or app diary) during their stay in the epilepsy monitoring unit. The performances of both methods were assessed based on the gold standard of video-EEG annotations. In total 89 adults (54 paper and 35 app users) with focal epilepsy were included in the analysis, of which 58 (33 paper and 25 app users) experienced at least one seizure and made at least one seizure diary entry. We observed a high precision of 85.7% for the app group, whereas the paper group's precision was lower due to overreporting (66.9%). Sensitivity was similar for both methods. Our findings imply that performance of seizure self-reporting is patient-dependent but is more precise for patients who are willing to use digital apps. This may be relevant for treatment decisions and future clinical trial design.

摘要

癫痫患者经常会低估或不准确地报告自己的发作情况,这给评估治疗效果带来了挑战。引入癫痫健康应用程序提供了一种新的方法,可以改善发作记录。本研究评估了基于应用程序的发作日记和传统纸质发作日记的记录性能。在两个三级癫痫中心,要求患者在癫痫监测单元住院期间使用提供的两种方法之一(纸质或应用程序日记)报告他们的发作情况。基于视频-脑电图注释的金标准评估了两种方法的性能。总共纳入了 89 名患有局灶性癫痫的成年人(54 名纸质和 35 名应用程序使用者),其中 58 名(33 名纸质和 25 名应用程序使用者)至少经历过一次发作并至少记录过一次发作日记。我们观察到应用程序组的准确率高达 85.7%,而由于报告过多,纸质组的准确率较低(66.9%)。两种方法的敏感性相似。我们的发现表明,发作自我报告的性能取决于患者,但对于愿意使用数字应用程序的患者来说,报告更精确。这可能与治疗决策和未来临床试验设计有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5649/11233562/56d1f265c47f/41598_2024_66932_Fig1_HTML.jpg

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