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Therapeutic drug monitoring of anti-infective agents in critically ill patients

Overview of attention for article published in Expert Review of Clinical Pharmacology, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 869)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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31 X users
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1 Facebook page

Citations

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103 Dimensions

Readers on

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93 Mendeley
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Title
Therapeutic drug monitoring of anti-infective agents in critically ill patients
Published in
Expert Review of Clinical Pharmacology, April 2016
DOI 10.1586/17512433.2016.1172209
Pubmed ID
Authors

Nynke G. L. Jager, Reinier M. van Hest, Jeffrey Lipman, Fabio S. Taccone, Jason A. Roberts

Abstract

Initial adequate anti-infective therapy is associated with significantly improved clinical outcomes for patients with severe infections. However, in critically ill patients, several pathophysiological and/or iatrogenic factors may affect the pharmacokinetics of anti-infective agents leading to suboptimal drug exposure, in particular during the early phase of therapy. Therapeutic drug monitoring (TDM) may assist to overcome this problem. We discuss the available evidence on the use of TDM in critically ill patient populations for a number of anti-infective agents, including aminoglycosides, β-lactams, glycopeptides, antifungals and antivirals. Also, we present the available evidence on the practices of anti-infective TDM and describe the potential utility of TDM to improve treatment outcome in critically ill patients with severe infections. For aminoglycosides, glycopeptides and voriconazole, beneficial effects of TDM have been established on both drug effectiveness and potential side effects. However, for other drugs, therapeutic ranges need to be further defined to optimize treatment prescription in this setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Canada 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Researcher 13 14%
Student > Ph. D. Student 12 13%
Other 7 8%
Student > Postgraduate 7 8%
Other 13 14%
Unknown 26 28%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Pharmacology, Toxicology and Pharmaceutical Science 21 23%
Chemistry 4 4%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 3 3%
Other 8 9%
Unknown 30 32%
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 28 April 2016.
All research outputs
#1,809,554
of 23,870,022 outputs
Outputs from Expert Review of Clinical Pharmacology
#48
of 869 outputs
Outputs of similar age
#30,550
of 302,378 outputs
Outputs of similar age from Expert Review of Clinical Pharmacology
#3
of 40 outputs
Altmetric has tracked 23,870,022 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 869 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done particularly well, scoring higher than 94% 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 302,378 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 89% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.