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Obesity in haemophilia patients: effect on bleeding frequency, clotting factor concentrate usage, and haemostatic and fibrinolytic parameters

Overview of attention for article published in Haemophilia, May 2013
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Title
Obesity in haemophilia patients: effect on bleeding frequency, clotting factor concentrate usage, and haemostatic and fibrinolytic parameters
Published in
Haemophilia, May 2013
DOI 10.1111/hae.12182
Pubmed ID
Authors

A. Tuinenburg, S. Biere‐Rafi, M. Peters, P. Verhamme, K. Peerlinck, M. J. H. A. Kruip, B. A. P. Laros‐Van Gorkom, M. Roest, J. C. M. Meijers, P. W. Kamphuisen, R. E. G. Schutgens

Abstract

The prevalence of obesity in patients with haemophilia (PWH) is increasing. We investigated the effect of obesity on bleeding frequency and clotting factor concentrate (CFC) usage in PWH and assessed whether prothrombotic changes observed in obesity differ between controls and PWH. Number of bleeds and CFC usage were compared between obese (N = 51) and non-obese (N = 46) haemophilia A patients. Markers of haemostasis and fibrinolysis were compared between PWH, and gender-, age- and body mass index (BMI)-matched non-haemophilic controls (N = 91). Median number of bleeds/patient-month was comparable between obese and non-obese patients with severe haemophilia (P = 0.791). Obese patients with severe haemophilia used 1.4 times more CFC/patient-month than non-obese patients (P = 0.036). When adjusting for weight this difference disappeared (P = 0.451). von Willebrand factor plasma concentration (VWF:Ag), factor VIII activity and endogenous thrombin potential were higher in obese than in non-obese controls. Obesity did not influence these markers in PWH. Plasminogen activator inhibitor type 1 levels were higher in obese vs. non-obese PWH (P < 0.001), whereas levels were comparable between PWH and controls (P = 0.912). Plasmin-α2-antiplasmin complex (PAP) levels appeared to be lower in obese vs. non-obese subjects, both within controls (P = 0.011) and PWH (P = 0.008). However, in PWH, PAP levels were higher than in controls (P < 0.001). Obesity is associated with an increase in net CFC usage in PWH, but has no effect on bleeding frequency. In addition, obesity attenuates hyperfibrinolysis in PWH. Future research investigating whether obese PWH need CFC treatment dosed on weight or whether a lower dosage would suffice to prevent and treat bleedings is needed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 3%
Australia 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Bachelor 6 15%
Other 6 15%
Student > Ph. D. Student 5 13%
Professor 4 10%
Other 6 15%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 19 48%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 3 8%
Psychology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 6 15%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 May 2013.
All research outputs
#14,644,315
of 24,558,777 outputs
Outputs from Haemophilia
#1,177
of 1,752 outputs
Outputs of similar age
#106,546
of 197,190 outputs
Outputs of similar age from Haemophilia
#15
of 27 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,752 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 197,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.