↓ Skip to main content

Exploring Vascular Function Biomarkers: Implications for Rehabilitation

Overview of attention for article published in Brazilian Journal of Cardiovascular Surgery, January 2017
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exploring Vascular Function Biomarkers: Implications for Rehabilitation
Published in
Brazilian Journal of Cardiovascular Surgery, January 2017
DOI 10.21470/1678-9741-2016-0085
Pubmed ID
Authors

Shane A. Phillips, Daniela Kuguimoto Andaku, Renata Gonçalves Mendes, Flávia Rossi Caruso, Ramona Cabiddu, Rodrigo Boemo Jaenisch, Ross Arena, Audrey Borghi-Silva

Abstract

The endothelium plays an important role in maintaining vascular homeostasis and regulating blood vessel function. Endothelial function is considered an independent predictor for risk of future cardiovascular events in cardiovascular and non-cardiovascular patients, as well as a predictor for postoperative complications in cardiovascular surgery patients. Brachial artery flow-mediated dilation by high-resolution ultrasound is widely used to evaluate endothelium-dependent vasodilation, which is mainly mediated by nitric oxide release. Physical exercise exerts beneficial effects on endothelial function and can be used in both primary and secondary prevention of cardiac and peripheral artery diseases, even in the postoperative period of cardiovascular surgery.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Professor > Associate Professor 6 10%
Student > Bachelor 6 10%
Researcher 5 8%
Librarian 4 6%
Other 12 19%
Unknown 22 35%
Readers by discipline Count As %
Medicine and Dentistry 18 29%
Nursing and Health Professions 9 14%
Biochemistry, Genetics and Molecular Biology 3 5%
Sports and Recreations 3 5%
Neuroscience 3 5%
Other 5 8%
Unknown 22 35%