Literature DB >> 27422083

Improved standardization and potential for shortened time to results with BD Kiestra™ total laboratory automation of early urine cultures: A prospective comparison with manual processing.

Maryza Graham1, Leanne Tilson2, Richard Streitberg2, John Hamblin2, Tony M Korman3.   

Abstract

We compared the results of 505 urine specimens prospectively processed by both conventional manual processing (MP) with 16-24h incubation to BD Kiestra™ Total Laboratory Automation (TLA) system with a shortened incubation of 14h: 97% of culture results were clinically concordant. TLA processing was associated with improved standardization of time of first culture reading and total incubation time. Crown
Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Automation; Kiestra™; Urine

Mesh:

Year:  2016        PMID: 27422083     DOI: 10.1016/j.diagmicrobio.2016.06.020

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  10 in total

1.  Impact of total laboratory automation on workflow and specimen processing time for culture of urine specimens.

Authors:  Melanie L Yarbrough; William Lainhart; Allison R McMullen; Neil W Anderson; Carey-Ann D Burnham
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-09-29       Impact factor: 3.267

2.  Culture of Rectal Swab Specimens for Enteric Bacterial Pathogens Decreases Time to Test Result While Preserving Assay Sensitivity Compared to Bulk Fecal Specimens.

Authors:  Sophonie Jean; Melanie L Yarbrough; Neil W Anderson; C A Burnham
Journal:  J Clin Microbiol       Date:  2019-05-24       Impact factor: 5.948

3.  Evaluation of the WASPLab Segregation Software To Automatically Analyze Urine Cultures Using Routine Blood and MacConkey Agars.

Authors:  Matthew L Faron; Blake W Buchan; Ryan F Relich; James Clark; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2020-03-25       Impact factor: 5.948

4.  Benefits Derived from Full Laboratory Automation in Microbiology: a Tale of Four Laboratories.

Authors:  Karissa Culbreath; Heather Piwonka; John Korver; Mir Noorbakhsh
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

5.  Significant increase in cultivation of Gardnerella vaginalis, Alloscardovia omnicolens, Actinotignum schaalii, and Actinomyces spp. in urine samples with total laboratory automation.

Authors:  Sabrina Klein; Dennis Nurjadi; Susanne Horner; Klaus Heeg; Stefan Zimmermann; Irene Burckhardt
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-04-13       Impact factor: 3.267

Review 6.  Laboratory Automation in Clinical Microbiology.

Authors:  Irene Burckhardt
Journal:  Bioengineering (Basel)       Date:  2018-11-22

7.  Total Laboratory Automation and Three Shifts Reduce Turnaround Time of Cerebrospinal Fluid Culture Results in the Chinese Clinical Microbiology Laboratory.

Authors:  Weili Zhang; Siying Wu; Jin Deng; Quanfeng Liao; Ya Liu; Li Xiong; Ling Shu; Yu Yuan; Yuling Xiao; Ying Ma; Mei Kang; Dongdong Li; Yi Xie
Journal:  Front Cell Infect Microbiol       Date:  2021-12-02       Impact factor: 5.293

8.  Total Laboratory Automation and Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Improve Turnaround Times in the Clinical Microbiology Laboratory: a Retrospective Analysis.

Authors:  Talent Theparee; Sanchita Das; Richard B Thomson
Journal:  J Clin Microbiol       Date:  2017-12-26       Impact factor: 5.948

9.  Clinical Performance of BD Kiestra InoqulA Automated System in a Chinese Tertiary Hospital.

Authors:  Pinli Yue; Menglan Zhou; Lintao Zhang; Qiwen Yang; Hongmei Song; Zhipeng Xu; Ge Zhang; Xiuli Xie; Yingchun Xu
Journal:  Infect Drug Resist       Date:  2020-04-01       Impact factor: 4.003

10.  Impact of Total Laboratory Automation on Turnaround Times for Urine Cultures and Screening Specimens for MRSA, ESBL, and VRE Carriage: Retrospective Comparison With Manual Workflow.

Authors:  Abdessalam Cherkaoui; Gesuele Renzi; Romain Martischang; Stephan Harbarth; Nicolas Vuilleumier; Jacques Schrenzel
Journal:  Front Cell Infect Microbiol       Date:  2020-10-28       Impact factor: 5.293

  10 in total

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