Evidence map›Paper›PMID 30215229›Full record

ArticleAnnals of laboratory medicine2019

Shorter Incubation Times for Detecting Multi-drug Resistant Bacteria in Patient Samples: Defining Early Imaging Time Points Using Growth Kinetics and Total Laboratory Automation.

Irene Burckhardt, Katharina Last, Stefan Zimmermann

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Performances of automated digital imaging of Gram-stained slides with on-screen reading against manual microscopy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  3. Article
  4. Evaluation of EUCAST rapid antimicrobial susceptibility testing (RAST) for positive blood cultures in clinical practice using a total lab automation.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. 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.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Irene BurckhardtDepartment for Infectious Diseases, Microbiology and Hygiene, University Hospital of Heidelberg, Germany. irene.burckhardt@med.uni-heidelberg.de.ORCID https://orcid.org/0000-0002-7610-4530
Katharina LastDepartment for Infectious Diseases, Microbiology and Hygiene, University Hospital of Heidelberg, Germany.
Stefan ZimmermannDepartment for Infectious Diseases, Microbiology and Hygiene, University Hospital of Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transition from manual processing of patient samples to automated workflows in medical microbiology is challenging. Although automation enables microbiologists to evaluate all samples following the same incubation period, the essential incubation times have yet to be determined. We defined essential incubation times for detecting methicillin-resistant

methodsWe monitored the growth kinetics of MRSA, MDRGN, and VRE between two and 48 hours on chromogenic media to establish the time points of first growth, single colony appearance, and typical morphology for 10², 10⁴, 10⁶, and 10⁸ colony forming units/mL. Subsequently, we imaged plates inoculated with 778 patient samples after 20, 24, and 36 hours.

resultsThe first growth, single colony appearance, and typical morphology time points were inoculum-dependent. First growth appeared after 6-18 hours, 4-18 hours, and 8-48 hours for MRSA, MDRGN, and VRE, respectively, and single colonies appeared at 12-18 hours, 6-20 hours, and 12-48 hours, respectively. Typical morphology was visible at 14-22 hours and 12-48 hours for MRSA and VRE, but was not determined for MDRGN. By examining patient samples, ≥98% of MRSA and MDRGN were visible 20 hours after the start of incubation. Following 24 hours of incubation, only 79.5% of VRE were clearly visible on the respective plates.

conclusionsAn incubation time of 20 hours is sufficient for detecting MRSA and MDRGN. VRE growth is much slower and requires additional imaging after 36 hours.

Indexed as

Automation, LaboratoryDrug Resistance, Multiple, BacterialGram-Negative BacteriaHumansKineticsMethicillin-Resistant Staphylococcus aureusRectumTime FactorsVancomycin-Resistant EnterococciChromogenic mediaLaboratory automationMethicillin-resistant Staphylococcus aureusMulti-drug resistant gram-negative bacteriaVancomycin-resistant enterococciWorkflow

Identifiers

PMID30215229
PMCPMC6143461

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.