Literature DB >> 25472486

Flow cytometry analysis using sysmex UF-1000i classifies uropathogens based on bacterial, leukocyte, and erythrocyte counts in urine specimens among patients with urinary tract infections.

Tor Monsen1, Patrik Rydén2.   

Abstract

Urinary tract infections (UTIs) are the second most common bacterial infection. Urine culture is the gold standard for diagnosis, but new techniques, such as flow cytometry analysis (FCA), have been introduced. The aim of the present study was to evaluate FCA characteristics regarding bacteriuria, leukocyturia, and erythrocyturia in relation to cultured uropathogens in specimens from patients with a suspected UTI. We also wanted to evaluate whether the FCA characteristics can identify uropathogens prior to culture. From a prospective study, 1,587 consecutive urine specimens underwent FCA prior to culture during January and February 2012. Outpatients and inpatients (79.6% and 19.4%, respectively) were included, of whom women represented 67.5%. In total, 620 specimens yielded growth, of which Escherichia coli represented 65%, Enterococcus spp. 8%, Klebsiella spp. 7%, and Staphylococcus spp. 5%. For the uropathogens, the outcome of FCA was compared against the results for specimens with E. coli and those with a negative culture. E. coli had high bacterial (median, 17,914/μl), leukocyte (median, 348/μl), and erythrocyte (median, 23/μl) counts. With the exception of Klebsiella spp., the majority of the uropathogens had considerable or significantly lower bacterial counts than that of E. coli. High leukocyte counts were found in specimens with Staphylococcus aureus, Proteus mirabilis, Pseudomonas aeruginosa, and group C streptococci. Elevated erythrocyte counts were found for P. vulgaris, P. aeruginosa, and group C streptococci, as well as for Staphylococcus saprophyticus. In essence, FCA adds new information about the bacterial, leukocyte, and erythrocyte counts in urine specimens for different uropathogens. Based on FCA characteristics, uropathogens can be classified and identified prior to culture. E. coli and Klebsiella spp. have similar FCA characteristics.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

Entities:  

Mesh:

Year:  2014        PMID: 25472486      PMCID: PMC4298542          DOI: 10.1128/JCM.01974-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  31 in total

1.  Evaluation of the Sysmex UF-1000i for the diagnosis of urinary tract infection.

Authors:  Jie Wang; Ying Zhang; DongWen Xu; Weijun Shao; Yuan Lu
Journal:  Am J Clin Pathol       Date:  2010-04       Impact factor: 2.493

2.  Urine is not sterile: use of enhanced urine culture techniques to detect resident bacterial flora in the adult female bladder.

Authors:  Evann E Hilt; Kathleen McKinley; Meghan M Pearce; Amy B Rosenfeld; Michael J Zilliox; Elizabeth R Mueller; Linda Brubaker; Xiaowu Gai; Alan J Wolfe; Paul C Schreckenberger
Journal:  J Clin Microbiol       Date:  2013-12-26       Impact factor: 5.948

3.  Characteristics of Escherichia coli causing persistence or relapse of urinary tract infections: phylogenetic groups, virulence factors and biofilm formation.

Authors:  Karen Ejrnæs; Marc Stegger; Andreas Reisner; Sven Ferry; Tor Monsen; Stig E Holm; Bettina Lundgren; Niels Frimodt-Møller
Journal:  Virulence       Date:  2011-11-01       Impact factor: 5.882

Review 4.  Diagnosis and treatment of uncomplicated urinary tract infection.

Authors:  T M Hooton; W E Stamm
Journal:  Infect Dis Clin North Am       Date:  1997-09       Impact factor: 5.982

5.  Evaluation of 3 different rapid automated systems for diagnosis of urinary tract infections.

Authors:  Matthias Marschal; Matthias Wienke; Steffen Hoering; Ingo B Autenrieth; Julia-Stefanie Frick
Journal:  Diagn Microbiol Infect Dis       Date:  2011-11-21       Impact factor: 2.803

Review 6.  Management of urinary tract infections in adults.

Authors:  W E Stamm; T M Hooton
Journal:  N Engl J Med       Date:  1993-10-28       Impact factor: 91.245

7.  Role of inflammation in bladder function and interstitial cystitis.

Authors:  Sonal Grover; Abhishek Srivastava; Richard Lee; Ashutosh K Tewari; Alexis E Te
Journal:  Ther Adv Urol       Date:  2011-02

Review 8.  Epidemiology of urinary tract infections: incidence, morbidity, and economic costs.

Authors:  Betsy Foxman
Journal:  Am J Med       Date:  2002-07-08       Impact factor: 4.965

9.  Evaluation of the automated urine particle analyzer UF-1000i screening for urinary tract infection in nonpregnant women.

Authors:  Qingkai Dai; Yongmei Jiang; Hua Shi; Wei Zhou; Shengjie Zhou; Hui Yang
Journal:  Clin Lab       Date:  2014       Impact factor: 1.138

Review 10.  Laboratory in the diagnosis and management of urinary tract infections.

Authors:  P G Pappas
Journal:  Med Clin North Am       Date:  1991-03       Impact factor: 5.456

View more
  10 in total

1.  How Often Do Clinically Diagnosed Catheter-Associated Urinary Tract Infections in Nursing Homes Meet Standardized Criteria?

Authors:  Chelsie E Armbruster; Katherine Prenovost; Harry L T Mobley; Lona Mody
Journal:  J Am Geriatr Soc       Date:  2016-11-14       Impact factor: 5.562

2.  Prospective Evaluation of Light Scatter Technology Paired with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Rapid Diagnosis of Urinary Tract Infections.

Authors:  Sandra Montgomery; Kiana Roman; Lan Ngyuen; Ana Maria Cardenas; James Knox; Andrew P Tomaras; Erin H Graf
Journal:  J Clin Microbiol       Date:  2017-03-29       Impact factor: 5.948

3.  Rapid Screening of Urinary Tract Infection and Discrimination of Gram-Positive and Gram-Negative Bacteria by Automated Flow Cytometric Analysis Using Sysmex UF-5000.

Authors:  Seon Young Kim; Yumi Park; Hyunjin Kim; Jimyung Kim; Sun Hoe Koo; Gye Cheol Kwon
Journal:  J Clin Microbiol       Date:  2018-07-26       Impact factor: 5.948

Review 4.  Toilet-based continuous health monitoring using urine.

Authors:  Savas Tasoglu
Journal:  Nat Rev Urol       Date:  2022-01-21       Impact factor: 14.432

5.  Evaluation of the appropriate time period between sampling and analyzing for automated urinalysis.

Authors:  Ramona C Dolscheid-Pommerich; Ute Klarmann-Schulz; Rupert Conrad; Birgit Stoffel-Wagner; Berndt Zur
Journal:  Biochem Med (Zagreb)       Date:  2016       Impact factor: 2.313

6.  A new concept and a comprehensive evaluation of SYSMEX UF-1000i  flow cytometer to identify culture-negative urine specimens in patients with UTI.

Authors:  T Monsen; P Ryden
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-04-06       Impact factor: 3.267

Review 7.  Automated Flow Cytometry: An Alternative to Urine Culture in a Routine Clinical Microbiology Laboratory?

Authors:  Patricia Mejuto; Mariam Luengo; Julio Díaz-Gigante
Journal:  Int J Microbiol       Date:  2017-09-27

8.  Validation and Search of the Ideal Cut-Off of the Sysmex UF-1000i® Flow Cytometer for the Diagnosis of Urinary Tract Infection in a Tertiary Hospital in Spain.

Authors:  María I Millán-Lou; Juan M García-Lechuz; María A Ruiz-Andrés; Concepción López; María J Aldea; María J Revillo; Antonio Rezusta
Journal:  Front Med (Lausanne)       Date:  2018-04-09

9.  Prediction of Uropathogens by Flow Cytometry and Dip-stick Test Results of Urine Through Multivariable Logistic Regression Analysis.

Authors:  Akihiro Nakamura; Aya Kohno; Nobuyoshi Noguchi; Kenji Kawa; Yuki Ohno; Masaru Komatsu; Hachiro Yamanishi
Journal:  PLoS One       Date:  2020-01-07       Impact factor: 3.240

10.  UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections.

Authors:  Roberto Ippoliti; Isabella Allievi; Andrea Rocchetti
Journal:  Microbiologyopen       Date:  2020-01-06       Impact factor: 3.139

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.