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From starting mechanical ventilation to ventilator-associated pneumonia, choosing the right moment to start antibiotic treatment

Overview of attention for article published in Critical Care, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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1 blog
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2 Facebook pages

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18 Dimensions

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Title
From starting mechanical ventilation to ventilator-associated pneumonia, choosing the right moment to start antibiotic treatment
Published in
Critical Care, June 2016
DOI 10.1186/s13054-016-1342-1
Pubmed ID
Authors

Paula Ramirez, Cristina Lopez-Ferraz, Monica Gordon, Alexandra Gimeno, Esther Villarreal, Jesús Ruiz, Rosario Menendez, Antoni Torres

Abstract

Ventilator-associated pneumonia (VAP) can have a clear onset or may be a result of the gradual appearance of symptoms and signs of VAP (gradual VAP). The aim of this paper is to describe the VAP development process with the intention of discriminating between those pneumonias with a clear beginning and those that are diagnosed after a period of maturation. In addition, we evaluate the effect of the starting time of antibiotic treatment in both situations. Consecutive ventilated patients fulfilling VAP criteria were included. The patients were monitored for clinical, microbiological, and inflammatory signs. Patients with VAP were classified into two groups: (1) nongradual VAP (patients in whom all VAP criteria were detected for the first time on the day of diagnosis) and (2) gradual VAP (progressive appearance of signs and symptoms throughout the pre-VAP period [<96 h to >24 h before VAP diagnosis]). A total of 71 patients with VAP were identified, of whom 43 (61 %) had gradual VAP, most of whom (n = 38, 88 %) had late-onset VAP. Antibiotic treatment was given to 34 (79 %) patients with gradual VAP in the pre-VAP period, and empirical antibiotic treatment was appropriate in 22 patients (51 %). The patients with an appropriate empirical treatment had a higher percentage of early clinical response to treatment (68 % [n = 15] vs. 28 % [n = 7]; p = 0.009). An attempt was made to find a diagnostic test capable of identifying the infectious process underway, but clinical scales and biomarkers of inflammation helped us to achieve acceptable results. Gradual emergence of VAP, mainly of late onset, is a common condition. Clinicians should be aware of this gradual onset of the infection to establish an early antibiotic treatment, even before the classic diagnostic criteria for VAP are applied.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 13 16%
Student > Master 10 13%
Other 7 9%
Researcher 7 9%
Student > Bachelor 6 8%
Other 14 18%
Unknown 23 29%
Readers by discipline Count As %
Medicine and Dentistry 31 39%
Nursing and Health Professions 10 13%
Biochemistry, Genetics and Molecular Biology 2 3%
Unspecified 1 1%
Environmental Science 1 1%
Other 7 9%
Unknown 28 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 07 September 2017.
All research outputs
#667,415
of 25,864,668 outputs
Outputs from Critical Care
#446
of 6,639 outputs
Outputs of similar age
#12,661
of 355,779 outputs
Outputs of similar age from Critical Care
#14
of 114 outputs
Altmetric has tracked 25,864,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.7. This one has done particularly well, scoring higher than 93% 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 355,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.