Literature DB >> 22238436

Bacteriuria screening by automated whole-field-image-based microscopy reduces the number of necessary urine cultures.

Rosanna Falbo1, M Roberta Sala, Silvia Signorelli, Natascia Venturi, Stefano Signorini, Paolo Brambilla.   

Abstract

We evaluated a new automated urine sediment analyzer that provides whole-field images for the screening of urine samples prior to bacterial culture. Sterile urine samples from 1,011 male and female outpatients and inpatients (mean age 54.7) with a urinary tract infection prevalence of 18.3% were studied. Screening rapidly provides negative results.

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Year:  2012        PMID： 22238436      PMCID： PMC3318571          DOI： 10.1128/JCM.06003-11

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


  10 in total

1.  Evaluation of the IRIS 939 UDx flow microscope as a screening system for urinary tract infection.

Authors:  C Hughes; M J Roebuck
Journal:  J Clin Pathol       Date:  2003-11       Impact factor: 3.411

2.  Diagnosis of bacteriuria and leukocyturia by automated flow cytometry compared with urine culture.

Authors:  Barbara Pieretti; Pietro Brunati; Beatrice Pini; Carlo Colzani; Pierluigi Congedo; Marco Rocchi; Riccardo Terramocci
Journal:  J Clin Microbiol       Date:  2010-08-25       Impact factor: 5.948

3.  Evaluation of Clinitek 200 and Rapimat II/T for screening for urinary tract infection.

Authors:  R A Bowman; T V Riley
Journal:  J Clin Pathol       Date:  1991-01       Impact factor: 3.411

4.  Urine sediment analysis: Analytical and diagnostic performance of sediMAX - a new automated microscopy image-based urine sediment analyser.

Authors:  Zahur Zaman; Giovanni Battista Fogazzi; Giuseppe Garigali; Maria Daniela Croci; Gabor Bayer; Tunde Kránicz
Journal:  Clin Chim Acta       Date:  2009-10-25       Impact factor: 3.786

5.  Screening of urine samples by flow cytometry reduces the need for culture.

Authors:  Santra Jolkkonen; Eeva-Liisa Paattiniemi; Pauliina Kärpänoja; Hannu Sarkkinen
Journal:  J Clin Microbiol       Date:  2010-06-30       Impact factor: 5.948

Review 6.  The epidemiology of urinary tract infection.

Authors:  Betsy Foxman
Journal:  Nat Rev Urol       Date:  2010-12       Impact factor: 14.432

7.  Detection of significant bacteriuria by automated urinalysis using flow cytometry.

Authors:  H Okada; Y Sakai; S Miyazaki; S Arakawa; Y Hamaguchi; S Kamidono
Journal:  J Clin Microbiol       Date:  2000-08       Impact factor: 5.948

8.  Clinical evaluation of a rapid diagnostic screen (URISCREEN) for bacteriuria in children.

Authors:  L S Palmer; I Richards; W E Kaplan
Journal:  J Urol       Date:  1997-02       Impact factor: 7.450

9.  Comparison of test characteristics of urine dipstick and urinalysis at various test cutoff points.

Authors:  R L Lammers; S Gibson; D Kovacs; W Sears; G Strachan
Journal:  Ann Emerg Med       Date:  2001-11       Impact factor: 5.721

10.  Field evaluation of a second-generation cytometer UF-100 in diagnosis of acute urinary tract infections in adult patients.

Authors:  F Manoni; S Valverde; F Antico; M M Salvadego; A Giacomini; G Gessoni
Journal:  Clin Microbiol Infect       Date:  2002-10       Impact factor: 8.067
  10 in total
  7 in total

Review 1.  Review of Telemicrobiology.

Authors:  Daniel D Rhoads; Blaine A Mathison; Henry S Bishop; Alexandre J da Silva; Liron Pantanowitz
Journal:  Arch Pathol Lab Med       Date:  2015-08-28       Impact factor: 5.534

2.  Evaluation of the Alfred 60/AST device as a screening test for urinary tract infections.

Authors:  Sophie Lahanas; George Stathopoulos; Raymond C Chan; Sebastiaan J van Hal
Journal:  J Clin Microbiol       Date:  2013-07-24       Impact factor: 5.948

3.  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

4.  Performance of the dipstick screening test as a predictor of negative urine culture.

Authors:  Alexandre Gimenes Marques; André Mario Doi; Jacyr Pasternak; Márcio Dos Santos Damascena; Carolina Nunes França; Marinês Dalla Valle Martino
Journal:  Einstein (Sao Paulo)       Date:  2017 Jan-Mar

5.  Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.

Authors:  Ross J Burton; Mahableshwar Albur; Matthias Eberl; Simone M Cuff
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-23       Impact factor: 2.796

6.  Diagnostic accuracy of uriSed automated urine microscopic sediment analyzer and dipstick parameters in predicting urine culture test results.

Authors:  Kağan Huysal; Yasemin U Budak; Ayse Ulusoy Karaca; Murat Aydos; Serdar Kahvecioğlu; Mehtap Bulut; Murat Polat
Journal:  Biochem Med (Zagreb)       Date:  2013       Impact factor: 2.313

Review 7.  Utilization management in microbiology.

Authors:  John A Branda; Kent Lewandrowski
Journal:  Clin Chim Acta       Date:  2013-09-29       Impact factor: 3.786
  7 in total

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