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Mendeley readers
Attention Score in Context
| Title |
Pharmacokinetic model of unfractionated heparin during and after cardiopulmonary bypass in cardiac surgery
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2015
|
| DOI | 10.1186/s12967-015-0404-5 |
| Pubmed ID | |
| Authors |
Zaishen Jia, Ganzhong Tian, Yupeng Ren, Zhiquan Sun, Wei Lu, Xiaotong Hou |
| Abstract |
BackgroundUnfractionated heparin (UFH) is widely used as a reversible anti-coagulant in cardiopulmonary bypass (CPB). However, the pharmacokinetic characteristics of UFH in CPB surgeries remain unknown because of the lack of means to directly determine plasma UFH concentrations. The aim of this study was to establish a pharmacokinetic model to predict plasma UFH concentrations at the end of CPB for optimal neutralization with protamine sulfate.MethodsForty-one patients undergoing CPB during cardiac surgery were enrolled in this observational clinical study of UFH pharmacokinetics. Patients received intravenous injections of UFH, and plasma anti-FIIa activity was measured with commercial anti-FIIa assay kits. A population pharmacokinetic model was established by using nonlinear mixed-effects modeling (NONMEM) software and validated by visual predictive check and Bootstrap analyses. Estimated parameters in the final model were used to simulate additional protamine administration after cardiac surgery in order to eliminate heparin rebound. Plans for postoperative protamine intravenous injections and infusions were quantitatively compared and evaluated during the simulation.ResultsA two-compartment pharmacokinetic model with first-order elimination provided the best fit. Subsequent simulation of postoperative protamine administration suggested that a lower-dose protamine infusion over 24 h may provide better elimination and prevent heparin rebound than bolus injection and other infusion regimens that have higher infusion rates and shorter duration.ConclusionA two-compartment model accurately reflects the pharmacokinetics of UFH in Chinese patients during CPB and can be used to explain postoperative heparin rebound after protamine neutralization. Simulations suggest a 24-h protamine infusion is more effective for heparin rebound prevention than a 6-h protamine infusion. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 26% |
| Researcher | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Other | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Other | 6 | 13% |
| Unknown | 9 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 45% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 10 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 February 2015.
All research outputs
#15,318,515
of 22,783,848 outputs
Outputs from Journal of Translational Medicine
#2,233
of 3,988 outputs
Outputs of similar age
#209,877
of 352,516 outputs
Outputs of similar age from Journal of Translational Medicine
#67
of 112 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.