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Relationship between osteopenic syndrome and severity of coronary artery disease detected with coronary angiography and Gensini score in men

Overview of attention for article published in Clinical Interventions in Aging, March 2016
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Title
Relationship between osteopenic syndrome and severity of coronary artery disease detected with coronary angiography and Gensini score in men
Published in
Clinical Interventions in Aging, March 2016
DOI 10.2147/cia.s104036
Pubmed ID
Authors

Bircan Alan, Veysi Akpolat, Adem Aktan, Sait Alan

Abstract

Many studies have shown that evidence supporting the relationship between low bone mineral density (BMD) and coronary artery disease (CAD) has been increasing. There is a significant increase of myocardial infarction in men with low BMD. We aimed to detect the relationship between BMD and CAD in patients whose CAD was detected with coronary angiography, and its severity and prevalence was detected with Gensini score. A total of 55 patients were selected who were found to have single or multiple infarctions through using coronary angiography in the cardiology clinic. The CAD severity was evaluated by calculating the Gensini score. These patients were divided into two groups: mild CAD and severe CAD groups. Femur bone mineral density (FBMD) was measured with dual energy X-ray absorptiometry. T score values were determined to be normal if the values were >-1.0 (n=22, 40%), and osteopenia-osteoporosis (osteopenic syndrome) if the T score values were ≤-1 (n=33, 60%). The FBMD of severe CAD according to the Gensini risk score was found to be significantly lower. FBMD values in patients decreased as their Gensini scores increased. There was a significant relationship between CAD and osteopenic syndrome. FBMD level in men with severe CAD is significantly low when compared with patients who have mild CAD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 22%
Researcher 3 17%
Student > Ph. D. Student 2 11%
Lecturer 1 6%
Other 1 6%
Other 4 22%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 10 56%
Nursing and Health Professions 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Sports and Recreations 1 6%
Engineering 1 6%
Other 0 0%
Unknown 3 17%
Attention Score in Context

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 29 March 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Clinical Interventions in Aging
#1,550
of 1,968 outputs
Outputs of similar age
#231,193
of 312,602 outputs
Outputs of similar age from Clinical Interventions in Aging
#36
of 46 outputs
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.