Literature DB >> 26491183

Interlaboratory Collaboration for Optimized Screening for Urinary Tract Infection.

Anne Russcher1, Elske Kusters2, Ron Wolterbeek3, Ed J Kuijper1, Christa M Cobbaert2, Martha T van der Beek4.   

Abstract

As the majority of urine samples submitted for culture yields a negative result, rapid screening that accurately predicts culture outcome benefits clinicians by reducing the time to result and improves the efficiency of the microbiological laboratory. Automated urinalysis using the IRIS Diagnostics iQ200 Elite (iQ200) analyzer permits just such a fast and large-scale screening. We aimed to predict and thus to reduce negative cultures with a screening algorithm based on iQ200 urinalysis in a tertiary university hospital. In parallel, we evaluated the performance of the iQ200 screen compared to that of Gram stain for sample quality. We screened 1,442 samples submitted for bacterial culture using the iQ200 analyzer; of these samples, 357 (24.8%) had a positive culture result. We identified the absence of microorganisms in the iQ200 screen as the strongest solitary predictor for a negative culture, with a sensitivity of 90.5% (323/357). The algorithm was further improved by performing logistic regression on leukocyte counts, which gave a cutoff of 65 leukocytes/μl to obtain the desired sensitivity of >95% (95.2%; 95% confidence interval [CI], 92.5 to 97.0), a negative predictive value of 97.3% (95% CI, 95.7 to 98.3), and an anticipated culture workload reduction of 44% (95% CI, 41 to 46). Concordance between sample quality based on Gram stain and iQ200 screening was only 72%, which was probably a result of interobserver effect in evaluation of the Gram stain. In conclusion, in our setting, screening by iQ200 proved to be a safe and cost-effective means to provide faster culture results, and it has the added benefit of a more objective evaluation of sample quality.
Copyright © 2015, American Society for Microbiology. All Rights Reserved.

Mesh:

Year:  2015        PMID: 26491183      PMCID: PMC4702725          DOI: 10.1128/JCM.01943-15

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


  15 in total

1.  Mid-stream vs. first-voided urine collection by using automated analyzers for particle examination in healthy subjects: an Italian multicenter study.

Authors:  Fabio Manoni; Gianluca Gessoni; Maria Grazia Alessio; Alberta Caleffi; Graziella Saccani; Maria Grazia Silvestri; Donatella Poz; Mauro Ercolin; Agostino Tinello; Sara Valverde; Cosimo Ottomano; Giuseppe Lippi
Journal:  Clin Chem Lab Med       Date:  2011-12-20       Impact factor: 3.694

2.  Urine sediment examination: a comparison of automated urinalysis systems and manual microscopy.

Authors:  Tzu-I Chien; Jau-Tsuen Kao; Hui-Lan Liu; Po-Chang Lin; Jhih-Sian Hong; Han-Peng Hsieh; Miao-Ju Chien
Journal:  Clin Chim Acta       Date:  2007-05-26       Impact factor: 3.786

3.  Screening for urinary tract infection with the Sysmex UF-1000i urine flow cytometer.

Authors:  Maarten A C Broeren; Semiha Bahçeci; Huib L Vader; Niek L A Arents
Journal:  J Clin Microbiol       Date:  2011-01-19       Impact factor: 5.948

4.  Performance of flow cytometry to screen urine for bacteria and white blood cells prior to urine culture.

Authors:  Callen D Giesen; Amanda M Greeno; Katherine A Thompson; Robin Patel; Sarah M Jenkins; John C Lieske
Journal:  Clin Biochem       Date:  2013-03-13       Impact factor: 3.281

Review 5.  Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta-analysis.

Authors:  Céire Costelloe; Chris Metcalfe; Andrew Lovering; David Mant; Alastair D Hay
Journal:  BMJ       Date:  2010-05-18

6.  Development of a score based on urinalysis to improve the management of urinary tract infection in children.

Authors:  Rosa Luciano; Simone Piga; Leonardo Federico; Marta Argentieri; Francesca Fina; Marina Cuttini; Emilia Misirocchi; Francesco Emma; Maurizio Muraca
Journal:  Clin Chim Acta       Date:  2011-11-19       Impact factor: 3.786

7.  IRIS iQ200 workstation as a screen for performing urine culture.

Authors:  Mark Parta; Bernita Y Hudson; Thao P Le; Michael Ittmann; Daniel M Musher; Charles Stager
Journal:  Diagn Microbiol Infect Dis       Date:  2012-10-24       Impact factor: 2.803

8.  Enhanced versus automated urinalysis for screening of urinary tract infections in children in the emergency department.

Authors:  Ami P Shah; Benjamin T Cobb; Darla R Lower; Nader Shaikh; Jayne Rasmussen; Alejandro Hoberman; Ellen R Wald; Adam Rosendorff; Robert W Hickey
Journal:  Pediatr Infect Dis J       Date:  2014-03       Impact factor: 2.129

Review 9.  Systematic review and meta-analysis of flow cytometry in urinary tract infection screening.

Authors:  Yan-Jun Shang; Qian-Qian Wang; Jian-Rong Zhang; Yu-Lian Xu; Wei-Wei Zhang; Yan Chen; Ming-Li Gu; Zhi-De Hu; An-Mei Deng
Journal:  Clin Chim Acta       Date:  2013-05-28       Impact factor: 3.786

10.  Urine flow cytometry as a primary screening method to exclude urinary tract infections.

Authors:  K J M Boonen; E L Koldewijn; N L A Arents; P A M Raaymakers; V Scharnhorst
Journal:  World J Urol       Date:  2012-05-16       Impact factor: 4.226

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  3 in total

1.  Use of Automated Urine Microscopy Analysis in Clinical Diagnosis of Urinary Tract Infection: Defining an Optimal Diagnostic Score in an Academic Medical Center Population.

Authors:  Dimard E Foudraine; Martijn P Bauer; Anne Russcher; Elske Kusters; Christa M Cobbaert; Martha T van der Beek; Janneke E Stalenhoef
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

2.  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

3.  Prediction of urine culture results by automated urinalysis with digital flow morphology analysis.

Authors:  Dokyun Kim; Seoung Chul Oh; Changseung Liu; Yoonjung Kim; Yongjung Park; Seok Hoon Jeong
Journal:  Sci Rep       Date:  2021-03-16       Impact factor: 4.379

  3 in total

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