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Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens

Overview of attention for article published in Antimicrobial Resistance & Infection Control, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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2 news outlets
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Title
Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens
Published in
Antimicrobial Resistance & Infection Control, June 2018
DOI 10.1186/s13756-018-0368-3
Pubmed ID
Authors

Boudewijn Catry, Katrien Latour, Robin Bruyndonckx, Camellia Diba, Candida Geerdens, Samuel Coenen

Abstract

Treatment duration, treatment interval, formulation and type of antimicrobial (antibiotic) are modifiable factors that will influence antimicrobial selection pressure. Currently, the impact of the route of administration on the occurrence of resistance in humans is unclear. In this retrospective multi-center cohort study, we assessed the impact of different variables on antimicrobial resistance (AMR) in pathogens isolated from the urinary tract in older adults. A generalized estimating equations (GEE) model was constructed using 7397 Escherichia coli (E. coli) isolates. Resistance in E. coli was higher when more antibiotics had been prescribed before isolation of the sample, especially in women (significant interaction p = 0.0016) and up to nine preceding prescriptions it was lower for higher proportions of preceding parenteral prescriptions (significant interactions p = 0.0067). The laboratory identity, dying, and the time between prescription and sampling were important confounders (p < 0.001). Our model describing shows a dose-response relation between antibiotic use and AMR in E. coli isolated from urine samples of older adults, and, for the first time, that higher proportions of preceding parenteral prescriptions are significantly associated with lower probabilities of AMR, provided that the number of preceding prescriptions is not extremely high (≥10 during the 1.5 year observation period; 93% of 5650 included patients). Retrospectively registered.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 22%
Researcher 9 16%
Student > Bachelor 4 7%
Other 3 5%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Pharmacology, Toxicology and Pharmaceutical Science 6 11%
Immunology and Microbiology 5 9%
Nursing and Health Professions 4 7%
Agricultural and Biological Sciences 2 4%
Other 10 18%
Unknown 19 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 July 2018.
All research outputs
#1,768,285
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#195
of 1,347 outputs
Outputs of similar age
#38,012
of 331,692 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#9
of 31 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 85% of its peers.
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 331,692 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.