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Implementation of short incubation MALDI-TOF MS identification from positive blood cultures in routine diagnostics and effects on empiric antimicrobial therapy

Overview of attention for article published in Antimicrobial Resistance and Infection Control, January 2017
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Title
Implementation of short incubation MALDI-TOF MS identification from positive blood cultures in routine diagnostics and effects on empiric antimicrobial therapy
Published in
Antimicrobial Resistance and Infection Control, January 2017
DOI 10.1186/s13756-017-0173-4
Pubmed ID
Authors

Robin Köck, Jörg Wüllenweber, Dagmar Horn, Christian Lanckohr, Karsten Becker, Evgeny A. Idelevich, Robin Köck, Jörg Wüllenweber, Dagmar Horn, Christian Lanckohr, Karsten Becker, Evgeny A. Idelevich

Abstract

Results of blood culture (BC) diagnostics should be swiftly available to guide treatment of critically ill patients. Conventional BC diagnostics usually performs species identification of microorganisms from mature solid medium colonies. Species identification might be speed up by using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) of biomass from shortly incubated solid media. This single-center analysis compared the applicability of MALDI-TOF-based species identification from shortly incubated cultures in laboratory routine vs. conventional diagnostics and assessed its effects of on empiric antibiotic therapy. Median time between detection of BCs as "positive" by incubators and further processing (e.g. microscopy) was 6 h 21 min. Median time between microscopy and result reporting to the ward was 15 min. Including 193 BCs, MALDI-TOF from shortly incubated biomass resulted in significantly faster (p > 0.001) species identification. Species results became available for clinicians after a median of 188 min (231 min for Gram-positive bacteria, 151 min for Gram-negative bacteria) compared to 909 min (n = 192 BCs) when conventional diagnostics was used. For 152/179 bacteremia episodes (85%) empiric antibiotic therapy had already been started when the microscopy result was reported to the ward; microscopy led to changes of therapies in 14/179 (8%). In contrast, reporting the bacterial species (without antibiogram) resulted in therapeutic adjustments in 36/179 (20%). Evaluating these changes revealed improved therapies in 26/36 cases (72%). Species identification by MALDI-TOF MS from shortly incubated subcultures resulted in adjustments of empiric antibiotic therapies and might improve the clinical outcome of septic patients.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 19%
Other 4 19%
Student > Master 3 14%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 8 38%
Immunology and Microbiology 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Environmental Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 10%
Unknown 4 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2017.
All research outputs
#6,526,641
of 8,993,272 outputs
Outputs from Antimicrobial Resistance and Infection Control
#346
of 388 outputs
Outputs of similar age
#203,832
of 308,911 outputs
Outputs of similar age from Antimicrobial Resistance and Infection Control
#29
of 32 outputs
Altmetric has tracked 8,993,272 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,911 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.