Combining neutrophil and macrophage biomarkers to detect active disease in ANCA vasculitis: a combinatory model of calprotectin and urine CD163.

dc.contributor.authorAnton Pampols, Paula
dc.contributor.authorMartinez Valenzuela, Laura
dc.contributor.authorFernandez Lorente, Loreto
dc.contributor.authorQuero Ramos, Maria
dc.contributor.authorGómez Preciado, Francisco
dc.contributor.authorMartín Capón, Irene
dc.contributor.authorMorandeira-Rego, Francisco
dc.contributor.authorManrique Escola, Joaquín
dc.contributor.authorFulladosa, Xavier
dc.contributor.authorCruzado, Josep Ma.
dc.contributor.authorTorras Ambròs, Joan
dc.contributor.authorDraibe, Juliana
dc.date.accessioned2024-02-07T20:17:08Z
dc.date.available2024-02-07T20:17:08Z
dc.date.issued2022-12-07
dc.date.updated2024-02-07T20:17:08Z
dc.description.abstractBackground: CD163 and calprotectin have been proposed as biomarkers of active renal vasculitis. This study aimed to determine whether the combination of serum/urine calprotectin (s/uCalprotectin) and urinary soluble CD163 (suCD163) increases their individual performance as activity biomarkers. Methods: We included 138 patients diagnosed with ANCA vasculitis (n = 52 diagnostic phase, n = 86 remission). The study population was divided into the inception (n = 101) and the validation cohorts (n = 37). We determined the s/uCalprotectin and suCD163 concentration using enzyme-linked immunoassay at the diagnostic or at the remission phase. Receiver operating characteristic (ROC) curves were conducted to assess the biomarkers' classificatory values. We elaborated a combinatorial biomarker model in the inception cohort. The ideal cutoffs were used in the validation cohort to confirm the model's accuracy in the distinction between active disease and remission. We added the classical ANCA vasculitis activity biomarkers to the model to increase the classificatory performance. Results: The concentrations of sCalprotectin and suCD163 were higher in the diagnostic compared with the remission phase (P = .013 and P < .0001). According to the ROC curves, sCalprotectin and suCD163 were accurate biomarkers to discern activity [area under the curve 0.73 (0.59-0.86), P = .015 and 0.88 (0.79-0.97), P < .0001]. The combinatory model with the best performance in terms of sensitivity, specificity and likelihood ratio included sCalprotectin, suCD163 and haematuria. Regarding the inception and the validation cohort, we obtained a sensitivity, specificity and likelihood ratio of 97%, 90% and 9.7, and 78%, 94% and 13, respectively. Conclusions: In patients with ANCA vasculitis, a predictive model combining sCalprotectin, suCD163 and haematuria could be useful in detecting active kidney disease.
dc.format.extent8 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec733321
dc.identifier.issn2048-8505
dc.identifier.urihttps://hdl.handle.net/2445/207276
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1093/ckj/sfac257
dc.relation.ispartofClinical Kidney Journal, 2022, vol. 16, num.4, p. 693-700
dc.relation.urihttps://doi.org/10.1093/ckj/sfac257
dc.rightscc-by-nc (c) Anton-Pampols P et al., 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationVasculitis
dc.subject.classificationMarcadors bioquímics
dc.subject.classificationDiagnòstic
dc.subject.otherVasculitis
dc.subject.otherBiochemical markers
dc.subject.otherDiagnosis
dc.titleCombining neutrophil and macrophage biomarkers to detect active disease in ANCA vasculitis: a combinatory model of calprotectin and urine CD163.
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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