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Prospective comparison of non-invasive risk markers of major cardiovascular events in COPD patients

Overview of attention for article published in Respiratory Research, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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16 X users

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Title
Prospective comparison of non-invasive risk markers of major cardiovascular events in COPD patients
Published in
Respiratory Research, September 2017
DOI 10.1186/s12931-017-0658-y
Pubmed ID
Authors

Jorge Zagaceta, Gorka Bastarrika, Javier J. Zulueta, Inmaculada Colina, Ana B. Alcaide, Arantza Campo, Miguel Divo, Ciro Casanova, José M. Marin, Victor M. Pinto-Plata, Bartolome R. Celli, Juan P. de-Torres

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is an independent risk factor for cardiovascular (CV) disease, one of the most frequent causes of death in COPD patients. The goal of the present study was to evaluate the prognostic value of non-invasive CV risk markers in COPD patients. CV risk was prospectively evaluated in 287 COPD patients using non-invasive markers including the Framingham score, the Systematic Coronary Risk Evaluation (SCORE) charts, coronary arterial calcium (CAC), epicardial adipose tissue (EAT), as well as clinical, biochemical and physiological variables. The predictive power of each parameter was explored using CV events as the main outcome. During a median follow up of 65 months (ICR: 36-100), 44 CV events were recorded, 12 acute myocardial infarctions (27.3%), 10 ischemic heart disease/angina (22.7%), 12 peripheral artery disease events requiring surgery (27.3%) and 10 strokes (22.7%). A total of 35 CV deaths occurred during that period. Univariable analysis determined that age, hypertension, CRP, total Cholesterol, LDL-Cholesterol, Framingham score and CAC were independently associated with CV events. Multivariable analysis identified CAC as the best predictor of CV events (HR; 95%CI: 1.32; 1.19-1.46, p < 001). In COPD patients attending pulmonary clinics, CAC was the best independent non-invasive predictor of CV events. This tool may help evaluate the risk for a CV event in patients with COPD. Larger studies should reproduce and validate these findings.

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The data shown below were collected from the profiles of 16 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 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 9 14%
Researcher 8 13%
Student > Bachelor 6 10%
Professor 5 8%
Professor > Associate Professor 4 6%
Other 11 17%
Unknown 20 32%
Readers by discipline Count As %
Medicine and Dentistry 31 49%
Nursing and Health Professions 6 10%
Agricultural and Biological Sciences 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Psychology 1 2%
Other 3 5%
Unknown 20 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 07 June 2018.
All research outputs
#5,142,991
of 25,382,440 outputs
Outputs from Respiratory Research
#632
of 3,062 outputs
Outputs of similar age
#82,492
of 329,378 outputs
Outputs of similar age from Respiratory Research
#12
of 37 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 79% 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 329,378 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 74% of its contemporaries.
We're also able to compare this research output to 37 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 67% of its contemporaries.