Please use this identifier to cite or link to this item: https://doi.org/10.3390/medicina54040056
Title: Assessment of immature granulocytes percentage to predict severe bacterial infection in latvian children : An analysis of secondary data
Authors: Pavare, Jana
Grope, Ilze
Gardovska, Dace
Department of Paediatrics
Keywords: Bacterial infections;Child;Immature granulocytes;Latvia;Sensitivity;Sepsis;Specificity;Medicine(all);3.2 Clinical medicine;1.1. Scientific article indexed in Web of Science and/or Scopus database
Issue Date: Sep-2018
Citation: Pavare , J , Grope , I & Gardovska , D 2018 , ' Assessment of immature granulocytes percentage to predict severe bacterial infection in latvian children : An analysis of secondary data ' , Medicina (Lithuania) , vol. 54 , no. 4 , 56 . https://doi.org/10.3390/medicina54040056
Abstract: Background: Detection of small proportion of serious bacterial infections (SBI) with a potentially life threating course in a large group of children with fever admitted to emergency department (ED) is still complicated. Measurement of immature granulocytes (IG) percentage may be used as a marker of bacterial infections. The aim of the study was to evaluate whether the IG percentage is a useful additional predictive marker of SBI. Methods: This study included 258 children with febrile infections that were admitted to the ED. Clinical follow-up, microbiological and radiological tests were used as reference standards for the definition of SBI. Study population was categorized into two groups: (1) infected patients with no suspicion of SBI (n = 75); (2) patients with suspicion of SBI (n = 183). IG percentage, white blood cell count (WBC), and C-reactive protein (CRP) levels were analyzed from the first routine blood samples at hospital admission. Results: A statistically significant difference in IG percentage levels was observed in children with SBI and those without—the mean IG percentage was 1.2% for the SBI group, 0.3% for those without SBI. The cutoff level of IG percentage to predict SBI was 0.45 (84% specificity, 66% sensitivity, 90% positive predictive value). We combine variables and evaluate their additive values. The sensitivity of WBC to detected SBI improved from 74% to 85% when IG percentage was added to the prediction models. When CRP, WBC, and IG percentage were combined, the sensitivity to predict SBI increased to 93%, the specificity to 86% (95% CI 77%–93%). Receiver operator characteristic analysis to predict SBI showed an area under the curve (AUC) of 0.80 for IG percentage. Conclusion: Addition of IG percentage to traditionally used markers of SBI as WBC and CRP may help to identify children with serious bacterial infections. Furthermore, IG percentage can be rapidly obtained from the traditional full blood count without any extra sampling and costs.
Description: Funding Information: Funding: This work was supported by Latvian National program “Biomedicine for public health” (BIOMEDICINE). Publisher Copyright: © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
DOI: https://doi.org/10.3390/medicina54040056
ISSN: 1010-660X
Appears in Collections:Research outputs from Pure / Zinātniskās darbības rezultāti no ZDIS Pure

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