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Urine flow cytometry can rule out urinary tract infection, but cannot identify bacterial morphologies correctly.
Geerts, N; Jansz, A R; Boonen, K J M; Wijn, R P W F; Koldewijn, E L; Boer, A K; Scharnhorst, V.
Afiliación
  • Geerts N; Clinical Laboratory, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: nienke.geerts@catharinaziekenhuis.nl.
  • Jansz AR; Department of Medical Microbiology, Laboratory for Pathology and Medical Microbiology (PAMM), De Run 6250, 5504 DL Veldhoven, The Netherlands. Electronic address: a.jansz@pamm.nl.
  • Boonen KJ; Clinical Laboratory, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: kboonen@amphia.nl.
  • Wijn RP; Department of Urology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: rob.wijn@mumc.nl.
  • Koldewijn EL; Department of Urology, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: evert.koldewijn@catharinaziekenhuis.nl.
  • Boer AK; Clinical Laboratory, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: arjen-kars.boer@catharinaziekenhuis.nl.
  • Scharnhorst V; Clinical Laboratory, Catharina Hospital Eindhoven, Michelangelolaan 2, 5623 EJ Eindhoven, The Netherlands. Electronic address: volkher.scharnhorst@catharinaziekenhuis.nl.
Clin Chim Acta ; 448: 86-90, 2015 Aug 25.
Article en En | MEDLINE | ID: mdl-26123581
The diagnosis of urinary tract infection (UTI) by urine culture is a time-consuming and costly procedure. Usage of a screening method, to identify negative samples, would therefore affect time-to-diagnosis and laboratory cost positively. Urine flow cytometers are able to identify particles in urine. Together with the introduction of a cut-off value, which determines if a urine sample is subsequently cultured or not, the number of cultures can be reduced, while maintaining a low level of false negatives and a high negative predictive value. Recently, Sysmex developed additional software for their urine flow cytometers. Besides measuring the number of bacteria present in urine, information is given on bacterial morphology, which may guide the physician in the choice of antibiotic. In this study, we evaluated this software update. The UF1000i classifies bacteria into two categories: 'rods' and 'cocci/mixed'. Compared to the actual morphology of the bacterial pathogen found, the 'rods' category scores reasonably well with 91% chance of classifying rod-shaped bacteria correctly. The 'cocci/mixed' category underperforms, with only 29% of spherical-shaped bacteria (cocci) classified as such. In its current version, the bacterial morphology software does not classify bacteria, according to their morphology, well enough to be of clinical use in this study population.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Orina / Cocos Grampositivos / Citometría de Flujo Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Clin Chim Acta Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Orina / Cocos Grampositivos / Citometría de Flujo Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Clin Chim Acta Año: 2015 Tipo del documento: Article
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