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American College of Cardiology

Plaque Morphology as Predictor of Late Plaque Events in Patients With Asymptomatic Type 2 Diabetes A Long-Term Observational Study

Overview of attention for article published in JACC: Cardiovascular Imaging, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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72 X users
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1 Facebook page

Citations

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64 Mendeley
Title
Plaque Morphology as Predictor of Late Plaque Events in Patients With Asymptomatic Type 2 Diabetes A Long-Term Observational Study
Published in
JACC: Cardiovascular Imaging, May 2018
DOI 10.1016/j.jcmg.2018.02.025
Pubmed ID
Authors

David A Halon, Idit Lavi, Ofra Barnett-Griness, Ronen Rubinshtein, Barak Zafrir, Mali Azencot, Basil S Lewis

Abstract

We used coronary computed tomography angiography (CTA) to determine plaque characteristics predicting individual late plaque events precipitating acute coronary syndromes (ACS) in a cohort of asymptomatic type 2 diabetic patients. In patients with coronary artery disease, CTA plaque characteristics may predict mid-term patient events. Asymptomatic patients with diabetes 55 to 74 years of age with no history of coronary artery disease (N = 630) underwent baseline 64-slice CTA and detailed plaque level analysis. All subsequent clinical events were recorded and adjudicated. In patients who developed ACS, culprit plaque was identified at invasive angiography and its precursor located on the baseline CTA. Plaque characteristics predicting an ACS-associated culprit plaque event were analyzed by time to event accounting for inpatient clustering of plaques and competing events. Among 2,242 plaques in 499 subjects, 24 ACS culprit plaques were identified in 24 subjects during median follow-up of 9.2 years (interquartile range: 8.4 to 9.8 years). Plaque volume (upper vs. lower quartile hazard ratio [HR]: 6.9; 95% confidence interval [CI]: 1.6 to 30.8; p = 0.011), percentage of low-density plaque content <50 Hounsfield units (HR: 14.2; 95% CI: 1.9 to 108; p = 0.010), and mild plaque calcification (HR vs. all other plaques 3.3 [95% CI: 1.5 to 7.3]; p = 0.004) predicted plaque events univariately and after adjustment by clinical risk score. A culprit plaque event occurred in 13 of 376 (3.5%) high-risk plaques (HRP) (plaques with ≥2 risk predictors) versus 11 of 1,866 (0.6%) in non-HRPs (p < 0.0001), at 12 of 343 (3.5%) stenotic sites (≥50%) versus 12 of 1,899 (0.6%) nonstenotic sites (p < 0.0001) and in 7 of 131 (5.3%) HRP with stenosis (p < 0.0001 vs. all others). In 130 (20.6%) subjects, no coronary plaque was present on baseline CTA. In asymptomatic patients with type 2 diabetes, CTA plaque volume, percent low-density plaque content, and mild calcification predicted late plaque events. The additional presence of luminal stenosis increased the probability of an acute event.

X Demographics

X Demographics

The data shown below were collected from the profiles of 72 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 13%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 6 9%
Student > Bachelor 5 8%
Other 4 6%
Other 18 28%
Unknown 17 27%
Readers by discipline Count As %
Medicine and Dentistry 28 44%
Nursing and Health Professions 5 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Agricultural and Biological Sciences 2 3%
Philosophy 1 2%
Other 5 8%
Unknown 21 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 11 September 2021.
All research outputs
#1,055,878
of 25,604,262 outputs
Outputs from JACC: Cardiovascular Imaging
#316
of 2,715 outputs
Outputs of similar age
#22,859
of 342,668 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#15
of 59 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done well, scoring higher than 88% 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 342,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 59 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 74% of its contemporaries.