智能手机应用程序为直立性震颤提供了一种简单、准确的床边筛查工具。
Smartphone Apps Provide a Simple, Accurate Bedside Screening Tool for Orthostatic Tremor.
作者信息
Bhatti Danish, Thompson Rebecca, Hellman Amy, Penke Cynthia, Bertoni John M, Torres-Russotto Diego
机构信息
Department of Neurological Sciences University of Nebraska Medical Center Omaha Nebraska.
出版信息
Mov Disord Clin Pract. 2017 Oct 8;4(6):852-857. doi: 10.1002/mdc3.12547. eCollection 2017 Nov-Dec.
BACKGROUND
Orthostatic Tremor (OT) is characterized by the presence of a sensation of instability while standing, associated with high frequency (13-18 Hz) lower extremity tremor. Diagnosis is confirmed with surface electromyography (EMG). An accurate screening tool that could be used in the routine clinical setting, without any specialized equipment, would be useful in earlier detection of OT and judicial use of additional testing.
OBJECTIVE
The objective of this study was to evaluate OT diagnostic test characteristics at bedside using iPhone's built-in accelerometer and available applications for tremor recordings.
METHODS
We obtained recordings using iPhones (Model 5, 5s, and 6) and free Applications ("LiftPulse" by LiftLabs [App1] and "iSeismometer" by ObjectGraph LLC [App2]) at default settings.
RESULTS
24 EMG-confirmed OT subjects (mostly females, 22/24) and 15 age-matched controls (mostly males, 11/15) were evaluated. App1 detected OT range tremor in 22/24 patients and none of the controls. (Sensitivity = 92%, Specificity = 100%, NPV = 88%). App2 detected OT range tremor in 21/24 patients and in 1/13 controls (Sensitivity = 88%, Specificity = 92%, NPV = 80%). When combined, 24/24 patients and 1/13 controls had OT range tremor (Sensitivity = 100%, Specificity = 92%, NPV = 100%).
CONCLUSIONS
Smartphone apps that use the built-in accelerometer provide a simple, accurate and inexpensive bedside screening diagnostic tool for patients with OT.
背景
直立性震颤（OT）的特征是站立时存在不稳定感，并伴有高频（13 - 18赫兹）的下肢震颤。通过表面肌电图（EMG）可确诊。一种能够在常规临床环境中使用且无需任何专业设备的准确筛查工具，将有助于更早地检测OT并合理使用额外检测。
目的
本研究的目的是使用iPhone的内置加速度计和可用的震颤记录应用程序，在床边评估OT诊断测试的特征。
方法
我们使用iPhone（型号5、5s和6）以及默认设置下的免费应用程序（LiftLabs的“LiftPulse”[应用程序1]和ObjectGraph LLC的“iSeismometer”[应用程序2]）进行记录。
结果
对24名经EMG确诊的OT患者（大多数为女性，22/24）和15名年龄匹配的对照者（大多数为男性，11/15）进行了评估。应用程序1在22/24例患者中检测到OT范围内的震颤，而对照者中无一例检测到。（敏感性 = 92%，特异性 = 100%，阴性预测值 = 88%）。应用程序2在21/24例患者和1/13例对照者中检测到OT范围内的震颤（敏感性 = 88%，特异性 = 92%，阴性预测值 = 80%）。当两者结合使用时，24/24例患者和1/13例对照者检测到OT范围内的震颤（敏感性 = 100%，特异性 = 92%，阴性预测值 = 100%）。
结论
使用内置加速度计的智能手机应用程序为OT患者提供了一种简单、准确且廉价的床边筛查诊断工具。
Zotero 插件