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Protein Binding of β-Lactam Antibiotics in Critically Ill Patients: Can We Successfully Predict Unbound Concentrations?

Overview of attention for article published in Antimicrobial Agents and Chemotherapy, September 2013
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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2 news outlets
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1 X user

Citations

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186 Dimensions

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172 Mendeley
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Title
Protein Binding of β-Lactam Antibiotics in Critically Ill Patients: Can We Successfully Predict Unbound Concentrations?
Published in
Antimicrobial Agents and Chemotherapy, September 2013
DOI 10.1128/aac.00951-13
Pubmed ID
Authors

Gloria Wong, Scott Briscoe, Syamhanin Adnan, Brett McWhinney, Jacobus Ungerer, Jeffrey Lipman, Jason A. Roberts

Abstract

The use of therapeutic drug monitoring (TDM) to optimize beta-lactam dosing in critically ill patients is growing in popularity, although there are limited data describing the potential impact of altered protein binding on achievement of target concentrations. The aim of this study was to compare the measured unbound concentration to the unbound concentration predicted from published protein binding values for seven beta-lactams using data from blood samples obtained from critically ill patients. From 161 eligible patients, we obtained 228 and 220 plasma samples at the midpoint of the dosing interval and trough, respectively, for ceftriaxone, cefazolin, meropenem, piperacillin, ampicillin, benzylpenicillin, and flucloxacillin. The total and unbound beta-lactam concentrations were measured using validated methods. Variabilities in both unbound and total concentrations were marked for all antibiotics, with significant differences being present between measured and predicted unbound concentrations for ceftriaxone and for flucloxacillin at the mid-dosing interval (P < 0.05). The predictive performance for calculating unbound concentrations using published protein binding values was poor, with bias for overprediction of unbound concentrations for ceftriaxone (83.3%), flucloxacillin (56.8%), and benzylpenicillin (25%) and underprediction for meropenem (12.1%). Linear correlations between the measured total and unbound concentrations were observed for all beta-lactams (R(2) = 0.81 to 1.00; P < 0.05) except ceftriaxone and flucloxacillin. The percent protein binding of flucloxacillin and the plasma albumin concentration were also found to be linearly correlated (R(2) = 0.776; P < 0.01). In conclusion, significant differences between measured and predicted unbound drug concentrations were found only for the highly protein-bound beta-lactams ceftriaxone and flucloxacillin. However, direct measurement of unbound drug in research and clinical practice is suggested for selected beta-lactams.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Netherlands 1 <1%
Brazil 1 <1%
France 1 <1%
Canada 1 <1%
India 1 <1%
Unknown 165 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 19%
Student > Master 23 13%
Researcher 17 10%
Other 16 9%
Student > Bachelor 14 8%
Other 36 21%
Unknown 34 20%
Readers by discipline Count As %
Medicine and Dentistry 55 32%
Pharmacology, Toxicology and Pharmaceutical Science 43 25%
Biochemistry, Genetics and Molecular Biology 8 5%
Agricultural and Biological Sciences 8 5%
Chemistry 8 5%
Other 9 5%
Unknown 41 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 03 December 2023.
All research outputs
#2,038,926
of 25,371,288 outputs
Outputs from Antimicrobial Agents and Chemotherapy
#872
of 15,580 outputs
Outputs of similar age
#18,128
of 218,617 outputs
Outputs of similar age from Antimicrobial Agents and Chemotherapy
#14
of 166 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,580 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 218,617 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 91% of its contemporaries.
We're also able to compare this research output to 166 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 91% of its contemporaries.