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dc.contributor.authorBrix, Ninna
dc.contributor.authorGlerup, Mia
dc.contributor.authorFoell, Dirk
dc.contributor.authorKessel, Christoph
dc.contributor.authorWittkowski, Helmut
dc.contributor.authorBerntson, Lillemor
dc.contributor.authorFasth, Anders
dc.contributor.authorNielsen, Susan
dc.contributor.authorNordal, Ellen Berit
dc.contributor.authorRygg, Marite
dc.contributor.authorHasle, Henrik
dc.contributor.authorHerlin, Troels
dc.date.accessioned2023-09-01T12:07:02Z
dc.date.available2023-09-01T12:07:02Z
dc.date.issued2023-04-04
dc.description.abstractObjective - To evaluate the predictive value of biomarkers of inflammation like phagocyte-related S100 proteins and a panel of inflammatory cytokines in order to differentiate the child with acute lymphoblastic leukemia (ALL) from juvenile idiopathic arthritis (JIA).<p> <p>Study design - In this cross-sectional study, we measured S100A9, S100A12, and 14 cytokines in serum from children with ALL (n = 150, including 27 with arthropathy) and JIA (n = 236). We constructed predictive models computing areas under the curve (AUC) as well as predicted probabilities in order to differentiate ALL from JIA. Logistic regression was used for predictions of ALL risk, considering the markers as the respective exposures. We performed internal validation using repeated 10-fold cross-validation and recalibration, adjusted for age.<p> <p>Results - In ALL, the levels of S100A9, S100A12, interleukin (IL)-1 beta, IL-4, IL-13, IL-17, matrix metalloproteinase-3, and myeloperoxidase were low compared with JIA (P < .001). IL-13 had an AUC of 100% (95% CI 100%-100%) due to no overlap between the serum levels in the 2 groups. Further, IL-4 and S100A9 had high predictive performance with AUCs of 99% (95% CI 97%-100%) and 98% (95% CI 94%-99%), respectively, exceeding both hemoglobin, platelets, C-reactive protein, and erythrocyte sedimentation rate.<p> <p>Conclusions - The biomarkers S100A9, IL-4, and IL-13 might be valuable markers to differentiate ALL from JIA.en_US
dc.identifier.citationBrix, Glerup, Foell, Kessel, Wittkowski, Berntson, Fasth, Nielsen, Nordal, Rygg, Hasle, Herlin. Inflammatory Biomarkers Can Differentiate Acute Lymphoblastic Leukemia with Arthropathy from Juvenile Idiopathic Arthritis Better Than Standard Blood Tests. Journal of Pediatrics. 2023en_US
dc.identifier.cristinIDFRIDAID 2148484
dc.identifier.doi10.1016/j.jpeds.2023.113406
dc.identifier.issn0022-3476
dc.identifier.urihttps://hdl.handle.net/10037/30622
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalJournal of Pediatrics
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleInflammatory Biomarkers Can Differentiate Acute Lymphoblastic Leukemia with Arthropathy from Juvenile Idiopathic Arthritis Better Than Standard Blood Testsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)