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2017 年 1 月至 2 月,奥地利一家儿科大学附属医院麻疹暴发期间的麻疹识别。

Measles recognition during measles outbreak at a paediatric university hospital, Austria, January to February 2017.

机构信息

Department of General Paediatrics, Medical University of Graz, Graz, Austria.

出版信息

Euro Surveill. 2020 Jan;25(3). doi: 10.2807/1560-7917.ES.2020.25.3.1900260.

Abstract

Recognition of measles is crucial to prevent transmissions in the hospital settings. Little is known about the level of recognition of measles and possible causes of not recognising the disease by physicians in the post-vaccine era. We report on a measles outbreak in a paediatric hospital in Austria in January to February 2017 with strikingly high numbers of not recognised cases. The extent and course of the outbreak were assessed via retrospective case finding. Thirteen confirmed measles cases were identified, two with atypical clinical picture. Of eight cases with no known epidemiological link, only one was diagnosed immediately; four were recognised with delay and three only retrospectively. Eleven typical measles cases had four 'unrecognised visits' to the outpatient clinic and 28 on the ward. Two atypical cases had two 'unrecognised visits' to the outpatient clinic and 19 on the ward.Thirteen clinicians did not recognise typical measles (atypical cases not included). Twelve of 23 physicians involved had never encountered a patient with measles before. The direct and indirect costs related to the outbreak were calculated to be over EUR 80,000. Our findings suggest the need to establish regular training programmes about measles, including diagnostic pitfalls in paediatric hospitals.

摘要

识别麻疹对于防止医院内传播至关重要。在疫苗接种后时代,医生对麻疹的识别水平以及可能导致无法识别该疾病的原因知之甚少。我们报告了 2017 年 1 月至 2 月在奥地利一家儿科医院发生的麻疹暴发,未被识别的病例数量惊人。通过回顾性病例发现评估了暴发的范围和过程。确定了 13 例确诊的麻疹病例,其中 2 例具有非典型临床表现。在 8 例无已知流行病学联系的病例中,只有 1 例被立即诊断;4 例被延迟诊断,3 例仅被回顾性诊断。11 例典型麻疹病例有 4 次“未被识别的门诊就诊”和 28 次住院就诊。2 例非典型病例有 2 次“未被识别的门诊就诊”和 19 次住院就诊。13 位临床医生未能识别典型麻疹(不包括非典型病例)。23 名参与的医生中有 12 名以前从未遇到过麻疹患者。暴发相关的直接和间接成本计算超过 80,000 欧元。我们的研究结果表明,有必要在儿科医院建立关于麻疹的定期培训计划,包括诊断陷阱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f8e/6988273/4ac364dd2759/1900260-f1.jpg

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