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电子健康记录提示可识别出有阻塞性睡眠呼吸暂停风险的癫痫患者。

Electronic health record cue identifies epilepsy patients at risk for obstructive sleep apnea.

作者信息

Mulvey Martha A, Veerapandiyan Aravindhan, Marks David A, Ming Xue

机构信息

Department of Neurology (MAM, DAM, XM), Rutgers New Jersey Medical School, Newark; and Department of Neurology (AV), University of Rochester Medical Center, NY.

出版信息

Neurol Clin Pract. 2018 Dec;8(6):468-471. doi: 10.1212/CPJ.0000000000000502.

Abstract

BACKGROUND

Prior studies have reported that patients with epilepsy have a higher prevalence of obstructive sleep apnea (OSA) that contributes to poor seizure control. Detection and treatment of OSA can improve seizure control in some patients with epilepsy. In this study, we sought to develop, implement, and evaluate the effectiveness of an electronic health record (EHR) alert to screen for OSA in patients with epilepsy.

METHODS

A 3-month retrospective chart review was conducted of all patients with epilepsy >18 years of age who were evaluated in our epilepsy clinics prior to the intervention. An assessment for obstructive sleep apnea (AOSA) consisting of 12 recognized risk factors for OSA was subsequently developed and embedded in the EHR. The AOSA was utilized for a 3-month period. Patients identified with 2 or more risk factors were referred for polysomnography. A comparison was made to determine if there was a difference in the number of patients at risk for OSA detected and referred for polysomnography with and without an EHR alert to screen for OSA.

RESULTS

There was a significant increase in OSA patient recognition. Prior to the EHR alert, 25/346 (7.23%) patients with epilepsy were referred for a polysomnography. Postintervention, 405/414 patients were screened using an EHR alert for AOSA and 134/405 (33.1%) were referred for polysomnography ( < 0.001).

CONCLUSION

An intervention with AOSA cued in the EHR demonstrated markedly improved identification of epilepsy patients at risk for OSA and referral for polysomnography.

摘要

背景

先前的研究报告称,癫痫患者阻塞性睡眠呼吸暂停(OSA)的患病率较高,这会导致癫痫控制不佳。检测和治疗OSA可以改善部分癫痫患者的癫痫控制情况。在本研究中,我们试图开发、实施并评估一种电子健康记录(EHR)警报,以筛查癫痫患者中的OSA。

方法

对所有18岁以上在干预前于我们癫痫门诊接受评估的癫痫患者进行了为期3个月的回顾性病历审查。随后制定了一项由12个公认的OSA风险因素组成的阻塞性睡眠呼吸暂停评估(AOSA),并将其嵌入电子健康记录中。AOSA使用了3个月。被识别出有2个或更多风险因素的患者被转诊进行多导睡眠图检查。进行比较以确定在有无EHR警报筛查OSA的情况下,检测出有OSA风险并被转诊进行多导睡眠图检查的患者数量是否存在差异。

结果

OSA患者的识别率显著提高。在EHR警报之前,25/346(7.23%)的癫痫患者被转诊进行多导睡眠图检查。干预后,405/414例患者使用EHR警报进行了AOSA筛查,其中134/405(33.1%)被转诊进行多导睡眠图检查(P<0.001)。

结论

在电子健康记录中设置AOSA提示的干预措施显著改善了对有OSA风险的癫痫患者的识别以及转诊进行多导睡眠图检查的情况。

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