Inflammatory cytokine and chemokine patterns in paediatric patients with suspected serious bacterial infection

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dc.contributor.authorRautiainen, Linda
dc.contributor.authorPavare, Jana
dc.contributor.authorGrope, Ilze
dc.contributor.authorTretjakovs, Peteris
dc.contributor.authorGardovska, Dace
dc.contributor.institutionDepartment of Paediatrics
dc.contributor.institutionDepartment of Human Physiology and Biochemistry
dc.date.accessioned2021-05-06T11:55:01Z
dc.date.available2021-05-06T11:55:01Z
dc.date.issued2019-01-01
dc.descriptionPublisher Copyright: © 2019 by the authors. Licensee MDPI, Basel, Switzerland.
dc.description.abstractBackground 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.en
dc.description.statusPeer reviewed
dc.format.extent425141
dc.identifier.citationRautiainen, 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. https://doi.org/10.3390/medicina55010004
dc.identifier.doi10.3390/medicina55010004
dc.identifier.issn1010-660X
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/4110
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85059502475&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofMedicina (Lithuania)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectChildren
dc.subjectCytokine
dc.subjectInflammation
dc.subjectSerious bacterial infection
dc.subject3.2 Clinical medicine
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.subjectGeneral Medicine
dc.titleInflammatory cytokine and chemokine patterns in paediatric patients with suspected serious bacterial infectionen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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