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Can urgency classification of the Manchester triage system predict serious bacterial infections in febrile children?

机译:曼彻斯特分类系统的紧急分类能否预测发热儿童的严重细菌感染?

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Objective: To evaluate the discriminative ability of the Manchester triage system (MTS) to identify serious bacterial infections (SBIs) in children with fever in the emergency department (ED) and to study the association between predictors of SBI and discriminators of MTS urgency of care. Methods: This prospective observational study included 1255 children with fever (1 month-16 years) attending the ED of the Erasmus MC - Sophia Children's Hospital, Rotterdam, The Netherlands in 2008-9. Triage urgency was determined with the MTS (urgency (U) level 1-5). The relationship between triage urgency and SBI was assessed with multivariable logistic regression, including effects of age, sex and temperature. Discriminative ability was assessed by receiver operating characteristic curve analysis. Results: SBI prevalence was 11% (n = 131, 95% CI 9% to 12%). The discriminative value of the MTS for predicting SBI was 0.57 (95% CI 0.52 to 0.62), and the MTS did not contribute to a model including age, sex and temperature. The sensitivity of the MTS (U1-2 vs U3-5) to detect SBI was 0.42 (95% CI 0.33 to 0.51) and specificity was 0.69 (95% CI 0.66 to 0.72). MTS high urgency discriminators include several known predictors of SBI, such as fever, work of breathing, meningism and oxygen saturation, but apply to non-SBI children as well. Conclusion: The MTS has poor discriminative ability to predict the presence of SBIs in children presenting with fever to the paediatric ED. Important predictors of SBI are represented within the MTS, but are used in a different way to classify urgency.
机译:目的:评估曼彻斯特分诊系统(MTS)在急诊科(ED)中发现发烧儿童的严重细菌感染(SBI)的判别能力,并研究SBI的预测因素与MTS急诊区分因素之间的关联。方法:这项前瞻性观察性研究纳入了2008年9月在荷兰鹿特丹索菲亚儿童医院接受伊拉斯ras斯医学中心急诊的1255名发烧儿童(1个月至16岁)。分诊急症由MTS(急症(U)1-5级)确定。分流尿急与SBI之间的关系通过多变量logistic回归进行评估,包括年龄,性别和体温的影响。通过接收器工作特性曲线分析评估判别能力。结果:SBI患病率为11%(n = 131,95%CI为9%至12%)。 MTS预测SBI的判别值为0.57(95%CI为0.52至0.62),并且MTS对包括年龄,性别和温度在内的模型没有贡献。 MTS(U1-2与U3-5)检测SBI的敏感性为0.42(95%CI为0.33至0.51),特异性为0.69(95%CI为0.66至0.72)。 MTS高紧急性判别器包括SBI的几种已知预测因子,例如发烧,呼吸,脑膜炎和氧饱和度,但也适用于非SBI儿童。结论:MTS不能很好地预测小儿ED发烧儿童中SBI的存在。 SBI的重要预测变量在MTS中表示,但以不同的方式用于对紧急程度进行分类。

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