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Title: Inflammatory cytokine and chemokine patterns in paediatric patients with suspected serious bacterial infection
Authors: Rautiainen, Linda
Pavare, Jana
Grope, Ilze
Tretjakovs, Peteris
Gardovska, Dace
Department of Paediatrics
Department of Human Physiology and Biochemistry
Keywords: Children;Cytokine;Inflammation;Serious bacterial infection;Medicine(all);3.2 Clinical medicine;1.1. Scientific article indexed in Web of Science and/or Scopus database
Issue Date: 1-Jan-2019
Citation: Rautiainen , L , Pavare , J , Grope , I , Tretjakovs , P & Gardovska , D 2019 , ' Inflammatory cytokine and chemokine patterns in paediatric patients with suspected serious bacterial infection ' , Medicina (Lithuania) , vol. 55 , no. 1 , 4 .
Abstract: Background and objectives: In children, acute infection is the most common cause of visits to the emergency department. Although most of them are self-limiting, mortality due to severe bacterial infections (SBI) in developed countries is still high. When the risk of serious bacterial infection is too high to ignore, yet too low to justify admission and hospital observation, clinicians try to improve diagnostic accuracy by performing various laboratory tests. The aim of the study was to investigate whether an early inflammatory cytokine and chemokine panel can add information in diagnostics of SBI and assessment of efficacy of early therapies in hospitalized children with fever. Methods: This study included 51 children with febrile infections that were admitted to the emergency department (ED). Clinical examination and microbiological and radiological tests were used as reference standards for the definition of SBI. Study population was categorized into two groups: (1) patients with SBI (n = 21); (2) patients without SBI (n = 30). Inflammatory cytokine and chemokine panels were analyzed from the first routine blood samples at hospital admission and after 24 h. Results: Out of 12 cytokines and chemokines, only Eotaxin and granulocyte colony-stimulating factor (G-CSF) had statistically significant differences between groups at the time of inclusion. Receiver operator characteristic analysis to predict SBI showed an area under the curve (AUC) of 0.679 for G-CSF. Conclusions: Analysis of inflammatory cytokine profiles may provide additional information in early diagnostics of SBI.
Description: Publisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
ISSN: 1010-660X
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

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