↓ Skip to main content

Use of ivabradine and atorvastatin in emergent orthopedic lower limb surgery and computed tomography coronary plaque imaging and novel biomarkers of cardiovascular stress and lipid metabolism for the…

Overview of attention for article published in Trials, September 2014
Altmetric Badge

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
102 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
Use of ivabradine and atorvastatin in emergent orthopedic lower limb surgery and computed tomography coronary plaque imaging and novel biomarkers of cardiovascular stress and lipid metabolism for the study and prevention of perioperative myocardial infarction: study protocol for a randomized controlled trial
Published in
Trials, September 2014
DOI 10.1186/1745-6215-15-352
Pubmed ID
Authors

Nima Rudd, Ivan Subiakto, Muhammad Asrar ul Haq, Vivek Mutha, William J Van Gaal

Abstract

The incidence of perioperative myocardial infarction (PMI) globally is known to be around 2 to 3% and can prolong hospitalization, increased morbidity and mortality. Little is known about the pathophysiology and risk factors for PMI. We investigate the presence of elevated novel cardiac markers and preoperative coronary artery plaque through contemporary laboratory techniques to determine the correlation with PMI, as well as studying ivabradine and atorvastatin as protective pharmacotherapies against PMI in the context of orthopedic surgery.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Netherlands 1 <1%
Unknown 100 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Student > Bachelor 12 12%
Researcher 11 11%
Student > Ph. D. Student 10 10%
Student > Doctoral Student 6 6%
Other 18 18%
Unknown 24 24%
Readers by discipline Count As %
Medicine and Dentistry 50 49%
Pharmacology, Toxicology and Pharmaceutical Science 7 7%
Nursing and Health Professions 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Agricultural and Biological Sciences 2 2%
Other 10 10%
Unknown 29 28%