教授区分符号学特征可提高急诊医师对癫痫样事件的诊断准确性。

Wenke Grönheit, Vanessa Behrens, Tatjana Liakina, Christoph Kellinghaus, Soheyl Noachtar, Stoyan Popkirov, Tim Wehner, Eva Brammen, Jörg Wellmer
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引用次数: 1

摘要

背景:在紧急情况下误诊癫痫样事件(SLE)是常见的。在这里,我们评估了一个单一的、基于视频的课程,突出区分符号学特征,是否可以提高急诊医生对癫痫发作(ES)、心因性非癫痫发作(PNES)和晕厥(SY)的诊断准确性。方法:40名急诊医师(24名麻醉师、9名外科医生和7名初级专科内科专家)参与了一项关于SLE诊断准确性的前瞻性试验。他们在两个时间点评估视频显示的SLE:在区分符号学特征的讲座之前和之后。在讲座中,符号学特征是通过病人的视频来展示的,有些是由讲师表演的。分析了鉴别符号学特征的正确诊断和识别的提高。结果:课前,200例sle评分正确率为45%,其中SY组为15% (n = 40), PNES组为30% (n = 40), ES组为59% (n = 120),局灶性至双侧强直-阵挛性发作(FBTCS)为87.5% (n = 40),局灶性意识受损发作(FIAS)为45% (n = 80)。符号学教学使SLE的正确率提高到79% (p < 0.8)。结论:一个45分钟的视频课程突出了不同的符号学特征,提高了急诊医生对ES, PNES和SY的诊断准确性。我们希望将这方面纳入急诊医师的课程中,可以使院前医学更好地对患者进行个体化治疗,并使临床资源的后续使用更加合理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Teaching distinguishing semiological features improves diagnostic accuracy of seizure-like events by emergency physicians.

Background: Misdiagnosis of seizure-like events (SLE) in emergency situations is common. Here, we evaluate whether a single, video-based lesson highlighting distinguishing semiological features can improve the diagnostic accuracy of emergency physicians for epileptic seizures (ES), psychogenic non-epileptic seizures (PNES) and syncopes (SY).

Methods: 40 emergency physicians (24 anesthetists, nine surgeons and seven internal medicine specialists by primary specialty) participated in a prospective trial on the diagnostic accuracy of SLE. They assessed video-displayed SLE at two time points: before and after a lecture on distinguishing semiological features. In the lecture, semiological features were demonstrated using patient videos, some were acted by the instructor in addition. The increase in correct diagnoses and recognition of distinguishing semiological features were analyzed.

Results: Before the lesson, 45% of 200 SLE-ratings were correct: 15% of SY (n = 40), 30% of PNES (n = 40), 59% of ES (n = 120, focal to bilateral tonic-clonic seizures (FBTCS) 87.5% (n = 40), focal impaired aware seizures (FIAS) 45% (n = 80)). Semiology teaching increased both the rate of correct diagnoses of SLE to overall 79% (p < 0.001) (ES 91% (p < 0.001), FBCTS 98% (n.s.), FIAS 88% (p < 0.001), PNES 88% (p < 0.001), SY 35% (p < 0.001)), and the number of recognized distinguishing semiological features. We identified several semiological features with high entity specific positive predictive values (> 0.8).

Conclusions: A single 45-min video-based lesson highlighting distinguishing semiological features improves the diagnostic accuracy of ES, PNES and SY by emergency physicians. We expect that including this aspect into the curriculum of emergency physicians will lead to better individual patient treatment in pre-hospital medicine and more appropriate subsequent use of clinical resources.

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