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Ischaemic Strokes in Patients with Pulmonary Arteriovenous Malformations and Hereditary Hemorrhagic Telangiectasia: Associations with Iron Deficiency and Platelets

Overview of attention for article published in PLOS ONE, February 2014
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Title
Ischaemic Strokes in Patients with Pulmonary Arteriovenous Malformations and Hereditary Hemorrhagic Telangiectasia: Associations with Iron Deficiency and Platelets
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0088812
Pubmed ID
Authors

Claire L. Shovlin, Basel Chamali, Vatshalan Santhirapala, John A. Livesey, Gillian Angus, Richard Manning, Michael A. Laffan, John Meek, Hannah C. Tighe, James E. Jackson

Abstract

Pulmonary first pass filtration of particles marginally exceeding ∼7 µm (the size of a red blood cell) is used routinely in diagnostics, and allows cellular aggregates forming or entering the circulation in the preceding cardiac cycle to lodge safely in pulmonary capillaries/arterioles. Pulmonary arteriovenous malformations compromise capillary bed filtration, and are commonly associated with ischaemic stroke. Cohorts with CT-scan evident malformations associated with the highest contrast echocardiographic shunt grades are known to be at higher stroke risk. Our goal was to identify within this broad grouping, which patients were at higher risk of stroke.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Greece 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Other 11 15%
Student > Master 10 14%
Student > Bachelor 8 11%
Researcher 7 10%
Student > Ph. D. Student 6 8%
Other 12 17%
Unknown 18 25%
Readers by discipline Count As %
Medicine and Dentistry 40 56%
Agricultural and Biological Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Nursing and Health Professions 2 3%
Engineering 2 3%
Other 4 6%
Unknown 17 24%