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Differential impacts of cardiac and abdominal ectopic fat deposits on cardiometabolic risk stratification

Overview of attention for article published in BMC Cardiovascular Disorders, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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3 tweeters

Citations

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28 Dimensions

Readers on

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54 Mendeley
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Title
Differential impacts of cardiac and abdominal ectopic fat deposits on cardiometabolic risk stratification
Published in
BMC Cardiovascular Disorders, January 2016
DOI 10.1186/s12872-016-0195-5
Pubmed ID
Authors

Fu-Zong Wu, Carol C. Wu, Pei-Lun Kuo, Ming-Ting Wu

Abstract

Previous studies have shown that excessive abdominal visceral adipose tissue (AVAT) and epicardial adipose tissue (EAT) are risk factors of cardiometabolic disease; we hypothesized there is differential contribution of abdominal and cardiac fat deposits to the cardiometabolic profiles. Two hundred eight consecutive subjects with clinical suspicion of coronary artery disease (CAD) who underwent cardiac and abdominal CT for Agatston score and abdominal visceral fat measurement were retrospectively analyzed. Regional thickness of EAT (EATth), total volume of EAT, total volume of paracardial adipose tissue (PAT) and total volume of AVAT from L2 to L5 level were measured. The relationships between abdominal and cardiac adipose tissue measurements, the number of components of metabolic syndrome, and the severity of Agatston score on a four ranking scale (0, 1-10,11-100, 101-400, >400) were investigated. The amounts of AVAT, EAT, PAT and EATth-LAVG showed a significant linear trend with increasing number (0-5) of components in metabolic syndrome (AVAT, EAT and PAT P for trend <0.0001; EATth-LVAG P for trend <0.001). EATth at left atrioventricular groove (EATth-LAVG) showed significant linear trend with the severity of Agatston score on a four ranking scale (P for trend <0.0001). In multivariate binary regression analysis, total volume of AVAT was the sole adiposity predictor for metabolic syndrome independent to age, gender, and waist circumference (odds ratio of 1.20, 95 % CI 1.08-1.32, p < 0.001) while total volume of EAT, PAT, and EATth-LAVG were not. In contrary, EATth-LAVG was the sole adiposity predictor for Agatston score >400 (odds ratio of 1.11, 95 % CI 1.034-1.184, p = 0.004). Excessive total volume of AVAT appears to be preferentially associated with metabolic syndrome; while EAT, esp. EATth-LAVG is preferentially associated with coronary artery disease. This differential effect of the two adiposities deserves a large-scale cohort study for further investigation.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 17%
Researcher 6 11%
Unspecified 4 7%
Professor 4 7%
Student > Bachelor 4 7%
Other 12 22%
Unknown 15 28%
Readers by discipline Count As %
Medicine and Dentistry 20 37%
Nursing and Health Professions 4 7%
Unspecified 4 7%
Computer Science 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 19 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 March 2016.
All research outputs
#3,312,637
of 7,325,869 outputs
Outputs from BMC Cardiovascular Disorders
#203
of 565 outputs
Outputs of similar age
#139,435
of 320,259 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#13
of 40 outputs
Altmetric has tracked 7,325,869 research outputs across all sources so far. This one has received more attention than most of these and is in the 52nd percentile.
So far Altmetric has tracked 565 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 58% 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 320,259 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 52% of its contemporaries.
We're also able to compare this research output to 40 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 65% of its contemporaries.