Literature DB >> 27197792

Genetic antimicrobial susceptibility testing in Gram-negative sepsis - impact on time to results in a routine laboratory.

Øyvind Kommedal1, Johanne Lind Aasen1,2, Paul Christoffer Lindemann1,3.   

Abstract

Diagnostic testing of positive blood cultures is among the most critical tasks performed by clinical microbiology laboratories, and the total analysis time from sampling to results should be kept as short as possible. By providing identification of pelleted bacteria directly from positive blood-cultures, MALDI-TOF MS opens for relatively low-complex species-adjusted genetic susceptibility testing from the same bacterial pellet. In our lab routine, we prospectively evaluated a rapid in-house real-time PCR targeting the most common aminoglycoside and cephalosporin resistance genes in Escherichia coli and Klebsiella pneumoniae and measured time to preliminary susceptibility reporting for 138 samples. The results were compared to direct phenotypic susceptibility testing with interpretation after 6 h and overnight incubation respectively. Results from the genetic susceptibility testing were available for 69.5% (96/138) of the positive blood cultures within 24 h after sample collection. No phenotypic susceptibility results were available at this time. Compared to overnight direct susceptibility testing, the average time from sample collection to preliminary susceptibility reporting was reduced with 43%, from 45 h and 5 min to 25 h and 44 min, providing an earlier adjustment of antimicrobial therapy for 12 patients. Minor logistic adjustments have the potential to save yet another 4 h.
© 2016 APMIS. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CTX-M; ESBL; Genetic susceptibility testing; aac(3)-II; blood culture

Mesh:

Year:  2016        PMID: 27197792     DOI: 10.1111/apm.12549

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  4 in total

1.  Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning.

Authors:  Karsten Borgwardt; Adrian Egli; Caroline Weis; Aline Cuénod; Bastian Rieck; Olivier Dubuis; Susanne Graf; Claudia Lang; Michael Oberle; Maximilian Brackmann; Kirstine K Søgaard; Michael Osthoff
Journal:  Nat Med       Date:  2022-01-10       Impact factor: 87.241

2.  Use of microbiology tests in the era of increasing AMR rates- a multicentre hospital cohort study.

Authors:  Brita Skodvin; Jannicke S Wathne; P Christoffer Lindemann; Stig Harthug; Roy M Nilsen; Esmita Charani; Heidi Syre; Baard R Kittang; Lars K S Kleppe; Ingrid Smith
Journal:  Antimicrob Resist Infect Control       Date:  2019-02-04       Impact factor: 4.887

3.  High Prevalence of Faecal Carriage of ESBL-Producing Enterobacteriaceae among Children in Dar es Salaam, Tanzania.

Authors:  Marit G Tellevik; Bjørn Blomberg; Øyvind Kommedal; Samuel Y Maselle; Nina Langeland; Sabrina J Moyo
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

4.  Addressing the key communication barriers between microbiology laboratories and clinical units: a qualitative study.

Authors:  Brita Skodvin; Karina Aase; Anita Løvås Brekken; Esmita Charani; Paul Christoffer Lindemann; Ingrid Smith
Journal:  J Antimicrob Chemother       Date:  2017-09-01       Impact factor: 5.790

  4 in total

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