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2
Trends in Prevalence of Bacterial Infections in Febrile Infants During the COVID-19 Pandemic.COVID-19大流行期间发热婴儿细菌感染的患病率趋势
Pediatrics. 2022 Dec 1;150(6). doi: 10.1542/peds.2022-059235.
3
Derivation of a clinical-based model to detect invasive bacterial infections in febrile infants.基于临床的发热婴儿侵袭性细菌感染检测模型的建立。
J Hosp Med. 2022 Nov;17(11):893-900. doi: 10.1002/jhm.12956. Epub 2022 Aug 29.
4
Derivation of a natural language processing algorithm to identify febrile infants.基于自然语言处理算法的发热婴儿识别。
J Hosp Med. 2022 Jan;17(1):11-18. doi: 10.1002/jhm.2732. Epub 2022 Jan 4.
5
Evaluation and Management of Well-Appearing Febrile Infants 8 to 60 Days Old.8 至 60 日龄外观健康发热婴儿的评估和管理。
Pediatrics. 2021 Aug;148(2). doi: 10.1542/peds.2021-052228. Epub 2021 Jul 19.
6
Parenteral Antibiotic Therapy Duration in Young Infants With Bacteremic Urinary Tract Infections.婴儿菌血症性尿路感染的肠外抗生素治疗时间。
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7
A Prediction Model to Identify Febrile Infants ≤60 Days at Low Risk of Invasive Bacterial Infection.预测模型识别≤60 天的发热婴儿侵袭性细菌感染的低风险。
Pediatrics. 2019 Jul;144(1). doi: 10.1542/peds.2018-3604. Epub 2019 Jun 5.
8
Timing and Location of Emergency Department Revisits.急诊科复诊的时间和地点。
Pediatrics. 2018 May;141(5). doi: 10.1542/peds.2017-4087. Epub 2018 Apr 12.
9
Information provided by diagnostic and screening tests: improving probabilities.诊断和筛查测试提供的信息:改善概率。
Postgrad Med J. 2018 Apr;94(1110):230-235. doi: 10.1136/postgradmedj-2017-135273. Epub 2017 Nov 13.
10
Management and Outcomes of Previously Healthy, Full-Term, Febrile Infants Ages 7 to 90 Days.7至90日龄既往健康的足月儿发热婴儿的管理与结局
Pediatrics. 2016 Dec;138(6). doi: 10.1542/peds.2016-0270. Epub 2016 Nov 1.

利用行政数据评估8至90日龄发热婴儿侵袭性细菌感染比例的变异性

Variability in Invasive Bacterial Infection Proportions Among Febrile Infants Aged 8-90 Days Using Administrative Data.

作者信息

Yaeger Jeffrey P, Fiscella Kevin A

机构信息

University of Rochester School of Medicine and Dentistry (JP Yaeger), Department of Pediatrics, Rochester, NY; University of Rochester Medical Center (JP Yaeger), Department of Public Health Sciences, Rochester, NY.

University of Rochester School of Medicine and Dentistry (KA Fiscella), Department of Family Medicine, Rochester, NY.

出版信息

Acad Pediatr. 2025 Mar;25(2):102608. doi: 10.1016/j.acap.2024.102608. Epub 2024 Nov 20.

DOI:10.1016/j.acap.2024.102608
PMID:39577560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11842202/
Abstract

OBJECTIVE

Despite decades of research, knowledge is limited regarding sociodemographic risk factors (eg, sex, rural/urban residence) for invasive bacterial infections (IBIs; bacteremia, bacterial meningitis) in young febrile infants and outcomes of current management strategies. Population-based administrative datasets can provide epidemiological insights not possible with clinical data but are limited because diagnosis codes alone may not accurately reflect culture-positive bacteremia or meningitis infections. Thus, using different IBI case definitions, we report IBI and missed IBI proportions in a population of febrile infants aged 8-90 days.

METHODS

For this cross-sectional study, we used New York State's all-payer database to identify healthy, full-term infants with fever aged 8-90 days evaluated in emergency departments from 2012 to 2023. We defined IBIs and missed IBIs using previously published diagnosis codes and then restricted original case definitions to inpatient encounters with variable lengths-of-stay. For each approach, we calculated total and age-stratified IBI and missed IBI proportions and used chi square statistics to compare proportions within and across age groups.

RESULTS

Of 67,115 infants who met inclusion criteria (15,191 [23%] aged 8-28 days), total IBI and missed IBI proportions varied from 11.5-32.3/1000 febrile infants and 4.2-8.0/100 IBIs, respectively. Although IBI proportions decreased significantly with advancing age, missed IBI proportions significantly increased.

CONCLUSIONS

IBI and missed IBI proportions varied widely by case definition. Missed IBI proportions increased with advancing age in a step-wise fashion regardless of case definition. Validation studies are needed to compare IBI diagnosis codes with culture results to understand the accuracy of identifying IBIs with administrative data.

摘要

目的

尽管经过了数十年的研究,但对于发热婴幼儿侵袭性细菌感染(IBIs;菌血症、细菌性脑膜炎)的社会人口学风险因素(如性别、农村/城市居住情况)以及当前管理策略的结果,我们的了解仍然有限。基于人群的行政数据集能够提供临床数据所无法提供的流行病学见解,但也存在局限性,因为仅靠诊断编码可能无法准确反映培养阳性的菌血症或脑膜炎感染情况。因此,我们使用不同的IBI病例定义,报告了8至90日龄发热婴幼儿群体中IBI和漏诊IBI的比例。

方法

在这项横断面研究中,我们利用纽约州的全支付方数据库,识别出2012年至2023年期间在急诊科接受评估的8至90日龄发热的健康足月儿。我们使用先前公布的诊断编码来定义IBIs和漏诊IBIs,然后将原始病例定义限制在住院时间长短不一的住院病例中。对于每种方法,我们计算了总的以及按年龄分层的IBI和漏诊IBI比例,并使用卡方统计量来比较年龄组内和年龄组间的比例。

结果

在符合纳入标准的67115名婴儿中(15191名[23%]年龄在8至28天),总的IBI和漏诊IBI比例分别为每1000名发热婴幼儿中有11.5至32.3例以及每100例IBIs中有4.2至8.0例漏诊。尽管IBI比例随着年龄的增长而显著下降,但漏诊IBI比例却显著上升。

结论

IBI和漏诊IBI比例因病例定义的不同而有很大差异。无论病例定义如何,漏诊IBI比例都随着年龄的增长而逐步上升。需要进行验证研究,将IBI诊断编码与培养结果进行比较,以了解使用行政数据识别IBIs的准确性。