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Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer

BACKGROUND: Candiduria is common in hospitalized patients. Its management is limited because of inadequate understanding. Previous epidemiological studies based on culture assay have been limited to small study populations. Therefore, data collected by automated systems from a large target populatio...

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Autores principales: He, Zhengxin, Liu, Yanli, Wang, Tingting, Cheng, Yan, Chen, Jing, Wang, Fukun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532615/
https://www.ncbi.nlm.nih.gov/pubmed/31149401
http://dx.doi.org/10.7717/peerj.6935
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author He, Zhengxin
Liu, Yanli
Wang, Tingting
Cheng, Yan
Chen, Jing
Wang, Fukun
author_facet He, Zhengxin
Liu, Yanli
Wang, Tingting
Cheng, Yan
Chen, Jing
Wang, Fukun
author_sort He, Zhengxin
collection PubMed
description BACKGROUND: Candiduria is common in hospitalized patients. Its management is limited because of inadequate understanding. Previous epidemiological studies based on culture assay have been limited to small study populations. Therefore, data collected by automated systems from a large target population are necessary for more comprehensive understanding of candiduria in hospitalized patients. METHODS: To determine the performance of the Sysmex UF-1000i in detecting candiduria, a cross-sectional study was designed and conducted. A total of 203 yeast-like cell (YLC)-positive and 127 negative samples were randomly chosen and subjected to microbiologic analysis. The receiver operating characteristic curve (ROC) was used to evaluate the ability of YLC counts as measured by the Sysmex UF1000i to predict candiduria. Urinalysis data from 31,648 hospitalized patients were retrospectively investigated, and statistical analysis was applied to the data collected. RESULTS: Using a cutoff value of 84.6 YLCs/µL, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the yeast like cell (YLC) counts to predict candiduria were 61.7%, 84.1%, 88.6% and 66.3%, respectively. C. glabrata (33.6%) and C. tropicalis (31.4%) were more prevalent than C. albicans (24.3%) in the present study. Of the investigated hospitalized patients, 509 (1.61%) were considered candiduria-positive. Age, gender and basic condition were associated with candiduria in hospitalized patients. In the ICU setting, urinary catheterization appeared to be the only independent risk factor contributing to candiduria according to our investigation. Although antibiotic therapy has been reported to be a very important risk factor, we could not confirm its significance in ICU candiduria patients because of excessive antibiotic usage in our hospital. CONCLUSIONS: The YLC measured by Sysmex UF-1000i is a practical and convenient tool for clinical candiduria screening prior to microbiologic culture. Candiduria is common in hospitalized patients, and its incidence varies according to age, gender and the wards where it is isolated. Candiduria had no direct connection with mortality but might be considered a marker of seriously ill patients who need particular attention in the clinic.
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spelling pubmed-65326152019-05-30 Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer He, Zhengxin Liu, Yanli Wang, Tingting Cheng, Yan Chen, Jing Wang, Fukun PeerJ Epidemiology BACKGROUND: Candiduria is common in hospitalized patients. Its management is limited because of inadequate understanding. Previous epidemiological studies based on culture assay have been limited to small study populations. Therefore, data collected by automated systems from a large target population are necessary for more comprehensive understanding of candiduria in hospitalized patients. METHODS: To determine the performance of the Sysmex UF-1000i in detecting candiduria, a cross-sectional study was designed and conducted. A total of 203 yeast-like cell (YLC)-positive and 127 negative samples were randomly chosen and subjected to microbiologic analysis. The receiver operating characteristic curve (ROC) was used to evaluate the ability of YLC counts as measured by the Sysmex UF1000i to predict candiduria. Urinalysis data from 31,648 hospitalized patients were retrospectively investigated, and statistical analysis was applied to the data collected. RESULTS: Using a cutoff value of 84.6 YLCs/µL, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the yeast like cell (YLC) counts to predict candiduria were 61.7%, 84.1%, 88.6% and 66.3%, respectively. C. glabrata (33.6%) and C. tropicalis (31.4%) were more prevalent than C. albicans (24.3%) in the present study. Of the investigated hospitalized patients, 509 (1.61%) were considered candiduria-positive. Age, gender and basic condition were associated with candiduria in hospitalized patients. In the ICU setting, urinary catheterization appeared to be the only independent risk factor contributing to candiduria according to our investigation. Although antibiotic therapy has been reported to be a very important risk factor, we could not confirm its significance in ICU candiduria patients because of excessive antibiotic usage in our hospital. CONCLUSIONS: The YLC measured by Sysmex UF-1000i is a practical and convenient tool for clinical candiduria screening prior to microbiologic culture. Candiduria is common in hospitalized patients, and its incidence varies according to age, gender and the wards where it is isolated. Candiduria had no direct connection with mortality but might be considered a marker of seriously ill patients who need particular attention in the clinic. PeerJ Inc. 2019-05-20 /pmc/articles/PMC6532615/ /pubmed/31149401 http://dx.doi.org/10.7717/peerj.6935 Text en ©2019 He et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Epidemiology
He, Zhengxin
Liu, Yanli
Wang, Tingting
Cheng, Yan
Chen, Jing
Wang, Fukun
Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title_full Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title_fullStr Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title_full_unstemmed Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title_short Candiduria in hospitalized patients: an investigation with the Sysmex UF-1000i urine analyzer
title_sort candiduria in hospitalized patients: an investigation with the sysmex uf-1000i urine analyzer
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532615/
https://www.ncbi.nlm.nih.gov/pubmed/31149401
http://dx.doi.org/10.7717/peerj.6935
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