Literature DB >> 32858646

Fever Without an Apparent Source in Young Infants: A Multicenter Retrospective Evaluation of Adherence to the Dutch Guidelines.

Nikki N Klarenbeek1, Maya Keuning1,2,3, Jeroen Hol4, Dasja Pajkrt3, Frans B Plötz1,2.   

Abstract

BACKGROUND: The Dutch fever without an apparent source (FWS) guidelines were published to timely recognize and treat serious infections. We determined the adherence to the Dutch FWS guidelines and the percentage of serious infections in infants younger than 3 months of age. Second, we identified which clinical criteria, diagnostic tests, and management were associated with nonadherence to the guidelines.
METHODS: A retrospective cohort study was performed in 2 Dutch teaching hospitals. We assessed the charts of all infants with FWS who presented at the emergency departments from September 30, 2017, to October 1, 2019. Diagnostic and therapeutic decisions were compared with the recommendations, as published in the Dutch guidelines. Infants were categorized into the nonadherence group in case 1 or more recommendations were not adhered to.
RESULTS: Data on 231 infants were studied; 51.5% of the cases adhered to the Dutch guidelines and 16.0% suffered from a serious infection. The percentage of infants with a serious infection was higher in the adherence compared with the nonadherence group. We observed no relevant differences in clinical outcomes. Univariate regression analysis showed that an abnormal white blood cell count was associated with nonadherence (OR 0.4, P = 0.049). Not obtaining a urine and blood culture and not starting intravenous antibiotic treatment were the most frequent reasons for nonadherence to the guidelines.
CONCLUSIONS: Our study indicates that there was nonadherence in a large proportion of FWS cases. The guidelines may need to be adjusted to increase adherence.

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Year:  2020        PMID: 32858646     DOI: 10.1097/INF.0000000000002878

Source DB:  PubMed          Journal:  Pediatr Infect Dis J        ISSN: 0891-3668            Impact factor:   2.129


  2 in total

1.  Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.

Authors:  I-Min Chiu; Chi-Yung Cheng; Wun-Huei Zeng; Ying-Hsien Huang; Chun-Hung Richard Lin
Journal:  J Clin Med       Date:  2021-04-26       Impact factor: 4.241

2.  Paediatric emergency departments should manage young febrile and afebrile infants the same if they have a fever before presenting.

Authors:  Ioannis Orfanos; Jorge Sotoca Fernandez; Kristina Elfving; Tobias Alfvén; Erik A Eklund
Journal:  Acta Paediatr       Date:  2022-07-16       Impact factor: 4.056

  2 in total

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