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Development of a population pharmacokinetic–pharmacodynamic model of a single bolus dose of unfractionated heparin in paediatric patients

Overview of attention for article published in British Journal of Clinical Pharmacology, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet

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19 Mendeley
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Article details
Title
Development of a population pharmacokinetic–pharmacodynamic model of a single bolus dose of unfractionated heparin in paediatric patients
Published in
British Journal of Clinical Pharmacology, May 2016
DOI 10.1111/bcp.12930
Pubmed ID
Authors
Abstract

Unfractionated heparin (UFH) is the anticoagulant of choice in paediatric patients undergoing a variety of cardiac procedures. There are currently no population pharmacokinetic-pharmacodynamic (PKPD) models for UFH in paediatrics. To develop and evaluate a PKPD model of UFH in paediatrics. Data from 64 children who received 75-100 IU/kg of UFH during cardiac angiography were analysed. Five blood samples were collected at baseline and at 15, 30, 45, and 120 minutes post-dose. UFH concentration was quantified using a protamine titration assay. UFH effect was quantified using activated partial thromboplastin time (aPTT). A PKPD model was fitted using the non-linear mixed effects modelling. Patient covariates such as sex, weight (WT), and fat-free mass (FFM) were tested. The final model was evaluated using the likelihood ratio test and visual predictive checks (VPCs). A one compartment model with linear elimination provided the best fit for the dose-concentration data. FFM was a significant covariate on clearance. A linear model provided the best fit for the concentration-effect data using aPTT as a biomarker for effect. The models performed well using VPCs. However, when used to simulate UFH infusion (at a much lower dose), the model overpredicted target aPTT responses. A PKPD model to describe the time-course of UFH effect was developed in a paediatric population. FFM was shown to describe drug disposition well. However, when applied to smaller UFH infusion doses, the model overpredicts target aPTT responses. This unsuccessful extrapolation may be attributed to a possible non-linear relationship of heparin PKPD.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Other 2 11%
Unknown 4 21%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 37%
Medicine and Dentistry 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Psychology 1 5%
Social Sciences 1 5%
Other 2 11%
Unknown 5 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 March 2016.
All research outputs
#4,626,419
of 24,558,777 outputs
Outputs from British Journal of Clinical Pharmacology
#1,232
of 5,389 outputs
Outputs of similar age
#67,632
of 303,636 outputs
Outputs of similar age from British Journal of Clinical Pharmacology
#51
of 86 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 75% 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 303,636 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 76% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.