Literature DB >> 29961166

How small modifications in laboratory workflow of blood cultures can have a significant impact on time to results.

B Van den Poel1, A Klak2, S Desmet2, J Verhaegen2.   

Abstract

Rapid identification and antimicrobial susceptibility testing of micro-organisms causing bloodstream infections is crucial in the management of septic patients. In this study, we compared a period of twice-daily and a period of thrice-daily reading of subculture agar plates. In 2016, 10,644 positive blood cultures bottles (bioMérieux) from 2608 patients were analyzed at UZ Leuven. Identification and antimicrobial susceptibility testing were performed by MALDI-TOF MS (Bruker Daltonics) and Vitek 2 (bioMérieux) respectively. In period 1 (January to June), subculture plates were read at 8:30 a.m. and 2:00 p.m. during the weekdays. In period 2 (August until December), reading was performed at 8:30 a.m., 2:00 p.m., and 5:00 p.m. Time to identification and time to AST results after positivity were compared. In period 1, median time to identification of all organisms was 22.8 h compared to 20.2 h in period 2 (p < 0.01). Moreover, micro-organisms were identified before 12 h in 9% of samples in period 2, a significant increase compared to 2% in period 1 (p < 0.01). In period 2, AST results were known within 36 h in 39% of samples, compared to 31% in period 1 (p < 0.01). Optimization of the reading frequency of subcultures of blood cultures significantly decreases time to results. Further optimization can be done by introducing lab automation. We will use the data of this study as a baseline to analyze the impact of introducing WASPLab (Copan Diagnostics) automation on time to results.

Entities:  

Keywords:  Antimicrobial susceptibility testing; Blood cultures; Laboratory workflow; Rapid identification; Reading frequency

Mesh:

Substances:

Year:  2018        PMID: 29961166     DOI: 10.1007/s10096-018-3309-4

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


  28 in total

1.  Delayed insertion of blood culture bottles into automated continuously monitoring blood culture systems increases the time from blood sample collection to the detection of microorganisms in bacteremic patients.

Authors:  Takashi Saito; Yoshitsugu Iinuma; Shunji Takakura; Miki Nagao; Aki Matsushima; Michinori Shirano; Satoshi Ichiyama
Journal:  J Infect Chemother       Date:  2009-03-12       Impact factor: 2.211

Review 2.  The preanalytical optimization of blood cultures: a review and the clinical importance of benchmarking in 5 Belgian hospitals.

Authors:  Elise Willems; Annick Smismans; Reinoud Cartuyvels; Guy Coppens; Kristien Van Vaerenbergh; Anne-Marie Van den Abeele; Johan Frans
Journal:  Diagn Microbiol Infect Dis       Date:  2012-05       Impact factor: 2.803

3.  Matrix-Assisted Laser Desorption-Ionization Time-of-Flight Mass Spectrometry (MALDI- TOF MS) for Early Identification of Septic Patients.

Authors:  Ali O Sekercioglu; Yesim Cekin; Dilara Ogunc; Gozde Ongut; Betil O Baysan; Dilek Colak; Filiz Gunseren; Levent Donmez
Journal:  Clin Lab       Date:  2017-04-01       Impact factor: 1.138

4.  Same-day identification and antibiotic susceptibility testing on positive blood cultures: a simple and inexpensive procedure.

Authors:  K Maelegheer; E Nulens
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2016-11-26       Impact factor: 3.267

Review 5.  Automation in clinical microbiology.

Authors:  Paul P Bourbeau; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2013-03-20       Impact factor: 5.948

6.  Rapid identification of microorganisms from positive blood cultures by MALDI-TOF mass spectrometry subsequent to very short-term incubation on solid medium.

Authors:  E A Idelevich; I Schüle; B Grünastel; J Wüllenweber; G Peters; K Becker
Journal:  Clin Microbiol Infect       Date:  2014-05-15       Impact factor: 8.067

7.  Optimal turnaround time for direct identification of microorganisms by mass spectrometry in blood culture.

Authors:  Adrien Randazzo; Marc Simon; Pierre Goffinet; Jean-François Classen; Nicolas Hougardy; Pascal Pierre; Philippe Kinzinger; Etienne Mauel; Jean-Sébastien Goffinet
Journal:  J Microbiol Methods       Date:  2016-08-21       Impact factor: 2.363

8.  Principles of antibiotic therapy in severe infections: optimizing the therapeutic approach by use of laboratory and clinical data.

Authors:  Stan Deresinski
Journal:  Clin Infect Dis       Date:  2007-09-15       Impact factor: 9.079

9.  The Clinical Impact of Rapid, Direct MALDI-ToF Identification of Bacteria from Positive Blood Cultures.

Authors:  Kathryn French; Jason Evans; Hannah Tanner; Savita Gossain; Abid Hussain
Journal:  PLoS One       Date:  2016-12-30       Impact factor: 3.240

10.  A prospective multicenter evaluation of direct molecular detection of blood stream infection from a clinical perspective.

Authors:  A E Nieman; P H M Savelkoul; A Beishuizen; B Henrich; B Lamik; C R MacKenzie; D Kindgen-Milles; A Helmers; C Diaz; S G Sakka; R P Schade
Journal:  BMC Infect Dis       Date:  2016-06-30       Impact factor: 3.090

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  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.  Performance and potential clinical impact of Alfred60AST (Alifax®) for direct antimicrobial susceptibility testing on positive blood culture bottles.

Authors:  Bea Van den Poel; Philippe Meersseman; Yves Debaveye; Adrian Klak; Jan Verhaegen; Stefanie Desmet
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-10-17       Impact factor: 3.267

Review 3.  Laboratory Automation in Clinical Microbiology.

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

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