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Cardiovascular risk factor control is insufficient in young patients with coronary artery disease

Overview of attention for article published in Vascular Health and Risk Management, May 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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6 X users
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2 Facebook pages

Citations

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7 Dimensions

Readers on

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69 Mendeley
Title
Cardiovascular risk factor control is insufficient in young patients with coronary artery disease
Published in
Vascular Health and Risk Management, May 2016
DOI 10.2147/vhrm.s106436
Pubmed ID
Authors

Morten Krogh Christiansen, Jesper Møller Jensen, Anders Krogh Brøndberg, Hans Erik Bøtker, Henrik Kjærulf Jensen

Abstract

Control of cardiovascular risk factor is important in secondary prevention of coronary artery disease (CAD) but it is unknown whether treatment targets are achieved in young patients. We aimed to examine the prevalence and control of risk factors in this subset of patients. We performed a cross-sectional, single-center study on patients with documented CAD before age 40. All patients treated between 2002 and 2014 were invited to participate at least 6 months after the last coronary intervention. We included 143 patients and recorded the family history of cardiovascular disease, physical activity level, smoking status, body mass index, waist circumference, blood pressure, cholesterol levels, metabolic status, and current medical therapy. Risk factor control and treatment targets were evaluated according to the shared guidelines from the European Society of Cardiology. The most common insufficiently controlled risk factors were overweight (113 [79.0%]), low-density lipoprotein cholesterol above target (77 [57.9%]), low physical activity level (78 [54.6%]), hypertriglyceridemia (67 [46.9%]), and current smoking (53 [37.1%]). Almost one-half of the patients fulfilled the criteria of metabolic syndrome. The median (interquartile range) number of uncontrolled modifiable risk factors was 2 (2;4) and only seven (4.9%) patients fulfilled all modifiable health measure targets. Among the youngest patients with CAD, there remains a potential to improve the cardiovascular risk profile.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 22%
Student > Bachelor 9 13%
Other 6 9%
Student > Doctoral Student 4 6%
Student > Postgraduate 4 6%
Other 10 14%
Unknown 21 30%
Readers by discipline Count As %
Nursing and Health Professions 25 36%
Medicine and Dentistry 15 22%
Psychology 3 4%
Biochemistry, Genetics and Molecular Biology 1 1%
Economics, Econometrics and Finance 1 1%
Other 3 4%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 10 March 2017.
All research outputs
#7,148,903
of 25,374,647 outputs
Outputs from Vascular Health and Risk Management
#232
of 804 outputs
Outputs of similar age
#94,485
of 311,862 outputs
Outputs of similar age from Vascular Health and Risk Management
#4
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 804 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 311,862 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.