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一种用于识别尿液分析结果异常且侵袭性细菌感染风险较低的发热幼儿的预测模型的验证

Validation of a predictive model for identifying febrile young infants with altered urinalysis at low risk of invasive bacterial infection.

作者信息

Velasco R, Gómez B, Hernández-Bou S, Olaciregui I, de la Torre M, González A, Rivas A, Durán I, Rubio A

机构信息

Pediatric Emergency Department, Rio Hortega University Hospital, Valladolid, Spain.

Pediatric Emergency Department, Cruces University Hospital, Barakaldo, Spain.

出版信息

Eur J Clin Microbiol Infect Dis. 2017 Feb;36(2):281-284. doi: 10.1007/s10096-016-2798-2. Epub 2016 Oct 5.

Abstract

In 2015, a predictive model for invasive bacterial infection (IBI) in febrile young infants with altered urine dipstick was published. The aim of this study was to externally validate a previously published set of low risk criteria for invasive bacterial infection in febrile young infants with altered urine dipstick. Retrospective multicenter study including nine Spanish hospitals. Febrile infants ≤90 days old with altered urinalysis (presence of leukocyturia and/or nitrituria) were included. According to our predictive model, an infant is classified as low-risk for IBI when meeting all the following: appearing well at arrival to the emergency department, being >21 days old, having a procalcitonin value <0.5 ng/mL and a C-reactive protein value <20 mg/L. IBI was considered as secondary to urinary tract infection if the same pathogen was isolated in the urine culture and in the blood or cerebrospinal fluid culture. A total of 391 patients with altered urine dipstick were included. Thirty (7.7 %) of them developed an IBI, with 26 (86.7 %) of them secondary to UTI. Prevalence of IBI was 2/104 (1.9 %; CI 95% 0.5-6.7) among low-risk patients vs 28/287 (9.7 %; CI 95% 6.8-13.7) among high-risk patients (p < 0.05). Sensitivity of the model was 93.3 % (CI 95% 78.7-98.2) and negative predictive value was 98.1 % (93.3-99.4). Although our predictive model was shown to be less accurate in the validation cohort, it still showed a good discriminatory ability to detect IBI. Larger prospective external validation studies, taking into account fever duration as well as the role of ED observation, should be undertaken before its implementation into clinical practice.

摘要

2015年,发表了一项针对尿试纸结果异常的发热幼儿侵袭性细菌感染(IBI)的预测模型。本研究的目的是对外验证先前发表的一套针对尿试纸结果异常的发热幼儿侵袭性细菌感染的低风险标准。这是一项回顾性多中心研究,涵盖了九家西班牙医院。纳入了年龄≤90天且尿液分析结果异常(存在白细胞尿和/或亚硝酸盐尿)的发热婴儿。根据我们的预测模型,当婴儿满足以下所有条件时,被归类为IBI低风险:到达急诊科时状态良好、年龄>21天、降钙素原值<0.5 ng/mL且C反应蛋白值<20 mg/L。如果在尿液培养以及血液或脑脊液培养中分离出相同病原体,则IBI被认为继发于尿路感染。总共纳入了391例尿试纸结果异常的患者。其中30例(7.7%)发生了IBI,其中26例(86.7%)继发于UTI。低风险患者中IBI的患病率为2/104(1.9%;95%CI 0.5 - 6.7),而高风险患者中为28/287(9.7%;95%CI 6.8 - 13.7)(p<0.05)。该模型的敏感性为93.3%(95%CI 78.7 - 98.2),阴性预测值为98.1%(93.3 - 99.4)。尽管我们的预测模型在验证队列中显示出较低的准确性,但它在检测IBI方面仍具有良好的鉴别能力。在将其应用于临床实践之前,应进行更大规模的前瞻性外部验证研究,同时考虑发热持续时间以及急诊科观察的作用。

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