Literature DB >> 30806903

Reducing the time between inoculation and first-read of urine cultures using total lab automation significantly reduces turn-around-time of positive culture results with minimal loss of first-read sensitivity.

Adam L Bailey1, Carey-Ann D Burnham2.   

Abstract

In order to realize the full potential of total laboratory automation (TLA) in the clinical microbiology laboratory, workflows must be optimized to match each laboratory's capabilities, patient population, and staffing model. Using TLA-based digital photography to monitor urine cultures, we sought to improve culture result turn-around-time (TAT) by changing the time at which a culture is first photographed and thus available for analysis/work-up (Pre1) from 18 h (16,391 cultures) to 16 h (53,113 cultures) (with a total of 24-h culture incubation in both time periods); in both time periods, cultures were set up 24/7, and culture work-up occurred during the day shift only. With this change, we observed a significant decrease in time-to-final-result TAT for positive cultures (18 h-Pre1 median: 71.6 h; 16 h-Pre1 median: 61.0 h). This effect was most pronounced for Gram-negative organisms, with a median reduction in time-to-final-result for Escherichia coli cultures (51.8% of positive urine cultures) of 14.2 h (18 h-Pre1 median: 77.3 h; 16 h-Pre1 median: 63.1 h). This reduction in TAT was accompanied by a decrease in sensitivity at the Pre1 time point (18 h-Pre1 91.01%; 16 h-Pre1 88.06%), which we also found to vary by species: there was a reduction in sensitivity at the first culture reading of 1 to 2% for cultures with Gram-negative microorganisms, but for some Gram-positive microorganisms (e.g., Aerococcus urinae and non-aureus Staphylococcus species), there was a reduction in sensitivity at the Pre1 time-point of 3 to 7%. These results can guide workflow decisions for laboratories seeking to implement and/or optimize TLA systems, demonstrating a tradeoff between TAT and the sensitivity of preliminary urine culture results.

Entities:  

Keywords:  Automation; Escherichia coli; Total laboratory automation; Urine

Mesh:

Year:  2019        PMID: 30806903     DOI: 10.1007/s10096-019-03512-3

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


  7 in total

Review 1.  Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.

Authors:  Zisis Kozlakidis; Alex van Belkum; Olivier Vandenberg; Géraldine Durand; Marie Hallin; Andreas Diefenbach; Vanya Gant; Patrick Murray
Journal:  Clin Microbiol Rev       Date:  2020-02-26       Impact factor: 26.132

2.  Stop Waiting for Tomorrow: Disk Diffusion Performed on Early Growth Is an Accurate Method for Antimicrobial Susceptibility Testing with Reduced Turnaround Time.

Authors:  Daniel M Webber; Meghan A Wallace; Carey-Ann D Burnham
Journal:  J Clin Microbiol       Date:  2022-02-02       Impact factor: 11.677

3.  Substantial overlap between symptomatic and asymptomatic genitourinary microbiota states.

Authors:  Boahemaa Adu-Oppong; Robert Thänert; Meghan A Wallace; Carey-Ann D Burnham; Gautam Dantas
Journal:  Microbiome       Date:  2022-01-17       Impact factor: 14.650

4.  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

5.  Comparative Genomics of Antibiotic-Resistant Uropathogens Implicates Three Routes for Recurrence of Urinary Tract Infections.

Authors:  Robert Thänert; Kimberly A Reske; Tiffany Hink; Meghan A Wallace; Bin Wang; Drew J Schwartz; Sondra Seiler; Candice Cass; C A Burnham; Erik R Dubberke; Jennie H Kwon; Gautam Dantas
Journal:  mBio       Date:  2019-08-27       Impact factor: 7.867

6.  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

7.  Performances of automated digital imaging of Gram-stained slides with on-screen reading against manual microscopy.

Authors:  Adrien Fischer; Nouria Azam; Lara Rasga; Valérie Barras; Manuela Tangomo; Gesuele Renzi; Nicolas Vuilleumier; Jacques Schrenzel; Abdessalam Cherkaoui
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2021-05-08       Impact factor: 3.267

  7 in total

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