Performance of Kiestra Total Laboratory Automation Combined with MS in Clinical Microbiology Practice

Mutters, Nico T.; Hodiamont, Caspar J.; Jong, Menno D. de; Overmeijer, Hendri P. J.; Boogaard, Mandy van den; E.Visser, Caroline

doi:10.3343/alm.2014.34.2.111

Cited by 82Bacterial Identification and Susceptibility TestingClinical Laboratory Practices and Quality ControlMass Spectrometry Techniques and Applications

Performance of Kiestra Total Laboratory Automation Combined with MS in Clinical Microbiology Practice

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Mutters, Nico T., Hodiamont, Caspar J., Jong, Menno D. de, Overmeijer, Hendri P. J., Boogaard, Mandy van den, E.Visser, Caroline·2014·Annals of Laboratory Medicine

DOI 10.3343/alm.2014.34.2.111PMC PMC3948823

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Abstract

BACKGROUND: Microbiological laboratories seek technologically innovative solutions to cope with large numbers of samples and limited personnel and financial resources. One platform that has recently become available is the Kiestra Total Laboratory Automation (TLA) system (BD Kiestra B.V., the Netherlands). This fully automated sample processing system, equipped with digital imaging technology, allows superior detection of microbial growth. Combining this approach with matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MS) (Bruker Daltonik, Germany) is expected to enable more rapid identification of pathogens. METHODS: Early growth detection by digital imaging using Kiestra TLA combined with MS was compared to conventional methods (CM) of detection. Accuracy and time taken for microbial identification were evaluated for the two methods in 219 clinical blood culture isolates. The possible clinical impact of earlier microbial identification was assessed according to antibiotic treatment prescription. RESULTS: Pathogen identification using Kiestra TLA combined with MS resulted in a 30.6 hr time gain per isolate compared to CM. Pathogens were successfully identified in 98.4% (249/253) of all tested isolates. Early microbial identification without susceptibility testing led to an adjustment of antibiotic regimen in 12% (24/200) of patients. CONCLUSIONS: The requisite 24 hr incubation time for microbial pathogens to reach sufficient growth for susceptibility testing and identification would be shortened by the implementation of Kiestra TLA in combination with MS, compared to the use of CM. Not only can this method optimize workflow and reduce costs, but it can allow potentially life-saving switches in antibiotic regimen to be initiated sooner.

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Full laboratory automation improves culture processing and mitigates staffing challenges.
“Full laboratory automation has already been shown to improve culture processing and mitigate staffing challenges (7–9).”
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Combined with MS in Clinical Microbiology Practice
Mutters, N. T., Hodiamont, C. J., de Jong, M. D., Overmeijer, H. P. J., Sc, B. A., Sc, B. A., & Visser, C. E. (2016)
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Clinical Microbiology Is Growing Up: The Total Laboratory Automation Revolution
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Authors: Mutters, N. T., Hodiamont, C. J., Jong, M. D. D., Overmeijer, H. P. J., Boogaard, M. V. D., & E.Visser, C.
Affiliations: University Hospital Heidelberg (DE)
Amsterdam UMC Location University of Amsterdam (NL)
Academic Medical Centre, Department of Medical Microbiology, University of Amsterdam, Amsterdam, the Netherlands
Corresponding author: Mutters, Nico T.
ORCID: Mutters, Nico T.
Hodiamont, Caspar J.
Jong, Menno D. de
Venue: Annals of Laboratory Medicine
Publisher: Annals of Laboratory Medicine
Published: 2014-03-01
Volume: 34
Issue: 2
Pages: 111-117
ISSN: 2234-3806 (ISSN-L)
2234-3814
DOI: 10.3343/alm.2014.34.2.111
PMC: PMC3948823
OpenAlex: W1978229308
Cited by: 82
References: 28
Citations by year: 2026: 3 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 7 · 2021: 4 · 2020: 7 · 2019: 10 · 2018: 8 · 2017: 7 · 2016: 7 · 2015: 10 · 2014: 7
FWCI: 7.15
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by-nc
creativecommons.org/licenses/by-nc/3.0/ (tdm)
Locations: Annals of Laboratory Medicine (publishedVersion, cc-by-nc)
Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
PubMed Central (publishedVersion, cc-by-nc)
PubMed (publishedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
Pure Amsterdam UMC (submittedVersion)
Funders: Universiteit van Amsterdam
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Bacterial Identification and Susceptibility Testing
Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
Keywords: matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, blood culture, digital imaging, pathogen identification, laboratory automation
MeSH terms: Candida albicans, Gram-Negative Bacteria, Gram-Positive Bacteria, Humans, Retrospective Studies, RNA, Ribosomal, 16S, Sequence Analysis, RNA, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Disk Diffusion Antimicrobial Tests, Automation, Laboratory

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Performance of Kiestra Total Laboratory Automation Combined with MS in Clinical Microbiology Practice

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