Literature DB >> 29253199

Transformation From a Conventional Clinical Microbiology Laboratory to Full Automation.

José L Moreno-Camacho1,2, Diana Y Calva-Espinosa1, Yoseli Y Leal-Leyva1,2, Dolores C Elizalde-Olivas1,2, Abraham Campos-Romero3, Jonathan Alcántar-Fernández3.   

Abstract

BACKGROUND: To validate the performance, reproducibility, and reliability of BD automated instruments in order to establish a fully automated clinical microbiology laboratory.
METHODS: We used control strains and clinical samples to assess the accuracy, reproducibility, and reliability of the BD Kiestra WCA, the BD Phoenix, and BD Bruker MALDI-Biotyper instruments and compared them to previously established conventional methods. The following processes were evaluated: sample inoculation and spreading, colony counts, sorting of cultures, antibiotic susceptibility test, and microbial identification.
RESULTS: The BD Kiestra recovered single colonies in less time than conventional methods (e.g. E. coli, 7h vs 10h, respectively) and agreement between both methodologies was excellent for colony counts (κ=0.824) and sorting cultures (κ=0.821). Antibiotic susceptibility tests performed with BD Phoenix and disk diffusion demonstrated 96.3% agreement with both methods. Finally, we compared microbial identification in BD Phoenix and Bruker MALDI-Biotyper and observed perfect agreement (κ=1) and identification at a species level for control strains. Together these instruments allow us to process clinical urine samples in 36h (effective time).
CONCLUSION: The BD automated technologies have improved performance compared with conventional methods, and are suitable for its implementation in very busy microbiology laboratories. © American Society for Clinical Pathology 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  BD Kiestra; BD Phoenix; CLSI; InoqulA; MALDI Biotyper; full automation; microbiology laboratory; urine

Mesh:

Year:  2017        PMID: 29253199     DOI: 10.1093/labmed/lmx079

Source DB:  PubMed          Journal:  Lab Med        ISSN: 0007-5027


  3 in total

1.  Laboratory automation reduces time to report of positive blood cultures and improves management of patients with bloodstream infection.

Authors:  Giuseppe Vittorio De Socio; Francesco Di Donato; Riccardo Paggi; Chiara Gabrielli; Alessandra Belati; Giuseppe Rizza; Martina Savoia; Antonella Repetto; Elio Cenci; Antonella Mencacci
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-09-14       Impact factor: 3.267

2.  Total Laboratory Automation in Clinical Microbiology: a Micro-Comic Strip.

Authors:  Alexander J McAdam
Journal:  J Clin Microbiol       Date:  2018-03-26       Impact factor: 5.948

Review 3.  Laboratory Automation in Clinical Microbiology.

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

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