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Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients

INTRODUCTION: The aims of this study were to evaluate urine flow cytometry (UFC) as a tool to screen urine samples of urological patients for bacteriuria and to compare UFC and dipstick analysis with urine culture in a patient cohort at a urological department of a university hospital. METHODS AND M...

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Autores principales: Fritzenwanker, Moritz, Grabitz, Marcel Oliver, Arneth, Borros, Renz, Harald, Imirzalioglu, Can, Chakraborty, Trinad, Wagenlehner, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533459/
https://www.ncbi.nlm.nih.gov/pubmed/34965529
http://dx.doi.org/10.1159/000520166
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author Fritzenwanker, Moritz
Grabitz, Marcel Oliver
Arneth, Borros
Renz, Harald
Imirzalioglu, Can
Chakraborty, Trinad
Wagenlehner, Florian
author_facet Fritzenwanker, Moritz
Grabitz, Marcel Oliver
Arneth, Borros
Renz, Harald
Imirzalioglu, Can
Chakraborty, Trinad
Wagenlehner, Florian
author_sort Fritzenwanker, Moritz
collection PubMed
description INTRODUCTION: The aims of this study were to evaluate urine flow cytometry (UFC) as a tool to screen urine samples of urological patients for bacteriuria and to compare UFC and dipstick analysis with urine culture in a patient cohort at a urological department of a university hospital. METHODS AND MATERIAL: We screened 662 urine samples from urological patients (75.2% male; 80.7% inpatients; mean age 58 years). UFC results were compared to microbiological urine culture. RESULTS: The accuracy in using the UFC-based parameters for detecting cultural bacteriuria was 91.99% and 88.97% for ≥10(5) colony-forming units (CFU)/mL and ≥10(4) CFU/mL, respectively. UFC and leukocyte dipstick analysis measured leukocyturia similarly (Pearson correlation coefficient 0.87, p value <0.01%), but dipstick analysis scored less accurately on bacteriuria (accuracy 59.37% and 62.69%). UFC remained effective in subgroup analysis of patients of both sexes and with different urological conditions with its overall use only slightly impaired when assessing gross hematuria (NPV 84.62% for ≥10(4) CFU/mL). UFC also reliably removed those urine samples below cutoffs with negative predictive values of 99.28% for ≥10(5) CFU/mL and 95.86% for ≥10(4) CFU/mL. CONCLUSION: Counting bacteria with UFC is an accurate and rapid method to determine significant bacteriuria in urological patients and is superior to dipstick analysis or indirect surrogate parameters such as leukocyturia. When UFC is available, we recommend it to be used for the diagnosis of bacteriuria over findings obtained by dipstick analysis.
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spelling pubmed-95334592022-10-06 Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients Fritzenwanker, Moritz Grabitz, Marcel Oliver Arneth, Borros Renz, Harald Imirzalioglu, Can Chakraborty, Trinad Wagenlehner, Florian Urol Int Research Article INTRODUCTION: The aims of this study were to evaluate urine flow cytometry (UFC) as a tool to screen urine samples of urological patients for bacteriuria and to compare UFC and dipstick analysis with urine culture in a patient cohort at a urological department of a university hospital. METHODS AND MATERIAL: We screened 662 urine samples from urological patients (75.2% male; 80.7% inpatients; mean age 58 years). UFC results were compared to microbiological urine culture. RESULTS: The accuracy in using the UFC-based parameters for detecting cultural bacteriuria was 91.99% and 88.97% for ≥10(5) colony-forming units (CFU)/mL and ≥10(4) CFU/mL, respectively. UFC and leukocyte dipstick analysis measured leukocyturia similarly (Pearson correlation coefficient 0.87, p value <0.01%), but dipstick analysis scored less accurately on bacteriuria (accuracy 59.37% and 62.69%). UFC remained effective in subgroup analysis of patients of both sexes and with different urological conditions with its overall use only slightly impaired when assessing gross hematuria (NPV 84.62% for ≥10(4) CFU/mL). UFC also reliably removed those urine samples below cutoffs with negative predictive values of 99.28% for ≥10(5) CFU/mL and 95.86% for ≥10(4) CFU/mL. CONCLUSION: Counting bacteria with UFC is an accurate and rapid method to determine significant bacteriuria in urological patients and is superior to dipstick analysis or indirect surrogate parameters such as leukocyturia. When UFC is available, we recommend it to be used for the diagnosis of bacteriuria over findings obtained by dipstick analysis. S. Karger AG 2022-08 2021-12-29 /pmc/articles/PMC9533459/ /pubmed/34965529 http://dx.doi.org/10.1159/000520166 Text en Copyright © 2021 by The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission.
spellingShingle Research Article
Fritzenwanker, Moritz
Grabitz, Marcel Oliver
Arneth, Borros
Renz, Harald
Imirzalioglu, Can
Chakraborty, Trinad
Wagenlehner, Florian
Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title_full Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title_fullStr Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title_full_unstemmed Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title_short Comparison of Urine Flow Cytometry on the UF-1000i System and Urine Culture of Urine Samples from Urological Patients
title_sort comparison of urine flow cytometry on the uf-1000i system and urine culture of urine samples from urological patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533459/
https://www.ncbi.nlm.nih.gov/pubmed/34965529
http://dx.doi.org/10.1159/000520166
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