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Semiquantitative, fully automated urine test strip analysis

OBJECTIVES: Urinalysis is one of the most frequently ordered diagnostic laboratory tests. In order to reduce workload and costs, rapid screening tests such as urine test strip analyses are applied. The aim of this study was to evaluate the analytical performance of the UC‐3500 as well as the diagnos...

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Autores principales: Oyaert, Matthijs, Delanghe, Joris R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595368/
https://www.ncbi.nlm.nih.gov/pubmed/30803042
http://dx.doi.org/10.1002/jcla.22870
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author Oyaert, Matthijs
Delanghe, Joris R.
author_facet Oyaert, Matthijs
Delanghe, Joris R.
author_sort Oyaert, Matthijs
collection PubMed
description OBJECTIVES: Urinalysis is one of the most frequently ordered diagnostic laboratory tests. In order to reduce workload and costs, rapid screening tests such as urine test strip analyses are applied. The aim of this study was to evaluate the analytical performance of the UC‐3500 as well as the diagnostic performance in comparison with reference methods. DESIGN AND METHODS: We measured within‐run and between‐run imprecision based on quantitative reflectance values. 347 prospectively included urine specimens were investigated for the presence of glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase activity, and ordinal scale results were compared to an automated urine particle analyzer (UF‐5000, Sysmex, Kobe, Japan) and wet chemistry (Roche Cobas 8000, Mannheim, Germany). RESULTS: Within‐run and between‐run imprecision results based on reflectance data for both the 9 and 11 parameter test strips ranged from 0.07% to 1.36% for the low‐level control and from 0.37% to 6.13% for the high‐level control, depending on the parameter. Regarding diagnostic performance, the sensitivity/specificity for glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase was 100/60%, 94.2/88.2%, 81.8/89.2%, 81.7/92.8%, and 85.1/88.6%, respectively; the negative predictive value was 100%, 83.3%, 89.1%, 94.6%, and 96.1%. The Spearman correlation coefficients of the UC‐3500 vs reference methods ranged from 0.915 to 0.967, depending on the parameter. CONCLUSION: This fully automated urine test strip analyzer overall shows a satisfying performance and can reliably screen out negative urine samples in order to focus on further characterization of positive samples in the following steps of the workflow.
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spelling pubmed-65953682019-11-12 Semiquantitative, fully automated urine test strip analysis Oyaert, Matthijs Delanghe, Joris R. J Clin Lab Anal Research Articles OBJECTIVES: Urinalysis is one of the most frequently ordered diagnostic laboratory tests. In order to reduce workload and costs, rapid screening tests such as urine test strip analyses are applied. The aim of this study was to evaluate the analytical performance of the UC‐3500 as well as the diagnostic performance in comparison with reference methods. DESIGN AND METHODS: We measured within‐run and between‐run imprecision based on quantitative reflectance values. 347 prospectively included urine specimens were investigated for the presence of glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase activity, and ordinal scale results were compared to an automated urine particle analyzer (UF‐5000, Sysmex, Kobe, Japan) and wet chemistry (Roche Cobas 8000, Mannheim, Germany). RESULTS: Within‐run and between‐run imprecision results based on reflectance data for both the 9 and 11 parameter test strips ranged from 0.07% to 1.36% for the low‐level control and from 0.37% to 6.13% for the high‐level control, depending on the parameter. Regarding diagnostic performance, the sensitivity/specificity for glucose, protein, albumin, leukocyte esterase, and hemoglobin peroxidase was 100/60%, 94.2/88.2%, 81.8/89.2%, 81.7/92.8%, and 85.1/88.6%, respectively; the negative predictive value was 100%, 83.3%, 89.1%, 94.6%, and 96.1%. The Spearman correlation coefficients of the UC‐3500 vs reference methods ranged from 0.915 to 0.967, depending on the parameter. CONCLUSION: This fully automated urine test strip analyzer overall shows a satisfying performance and can reliably screen out negative urine samples in order to focus on further characterization of positive samples in the following steps of the workflow. John Wiley and Sons Inc. 2019-02-25 /pmc/articles/PMC6595368/ /pubmed/30803042 http://dx.doi.org/10.1002/jcla.22870 Text en © 2019 The Authors. Journal of Clinical Laboratory Analysis Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Oyaert, Matthijs
Delanghe, Joris R.
Semiquantitative, fully automated urine test strip analysis
title Semiquantitative, fully automated urine test strip analysis
title_full Semiquantitative, fully automated urine test strip analysis
title_fullStr Semiquantitative, fully automated urine test strip analysis
title_full_unstemmed Semiquantitative, fully automated urine test strip analysis
title_short Semiquantitative, fully automated urine test strip analysis
title_sort semiquantitative, fully automated urine test strip analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595368/
https://www.ncbi.nlm.nih.gov/pubmed/30803042
http://dx.doi.org/10.1002/jcla.22870
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