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Myocardial Fibrosis and Cardiac Decompensation in Aortic Stenosis

Overview of attention for article published in JACC: Cardiovascular Imaging, December 2016
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  • In the top 25% 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 (78th percentile)

Mentioned by

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54 X users
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4 Facebook pages
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Citations

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297 Dimensions

Readers on

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228 Mendeley
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Title
Myocardial Fibrosis and Cardiac Decompensation in Aortic Stenosis
Published in
JACC: Cardiovascular Imaging, December 2016
DOI 10.1016/j.jcmg.2016.10.007
Pubmed ID
Authors

Calvin W.L. Chin, Russell J. Everett, Jacek Kwiecinski, Alex T. Vesey, Emily Yeung, Gavin Esson, William Jenkins, Maria Koo, Saeed Mirsadraee, Audrey C. White, Alan G. Japp, Sanjay K. Prasad, Scott Semple, David E. Newby, Marc R. Dweck

Abstract

Cardiac magnetic resonance (CMR) was used to investigate the extracellular compartment and myocardial fibrosis in patients with aortic stenosis, as well as their association with other measures of left ventricular decompensation and mortality. Progressive myocardial fibrosis drives the transition from hypertrophy to heart failure in aortic stenosis. Diffuse fibrosis is associated with extracellular volume expansion that is detectable by T1 mapping, whereas late gadolinium enhancement (LGE) detects replacement fibrosis. In a prospective observational cohort study, 203 subjects (166 with aortic stenosis [69 years; 69% male]; 37 healthy volunteers [68 years; 65% male]) underwent comprehensive phenotypic characterization with clinical imaging and biomarker evaluation. On CMR, we quantified the total extracellular volume of the myocardium indexed to body surface area (iECV). The iECV upper limit of normal from the control group (22.5 ml/m(2)) was used to define extracellular compartment expansion. Areas of replacement mid-wall LGE were also identified. All-cause mortality was determined during 2.9 ± 0.8 years of follow up. iECV demonstrated a good correlation with diffuse histological fibrosis on myocardial biopsies (r = 0.87; p < 0.001; n = 11) and was increased in patients with aortic stenosis (23.6 ± 7.2 ml/m(2) vs. 16.1 ± 3.2 ml/m(2) in control subjects; p < 0.001). iECV was used together with LGE to categorize patients with normal myocardium (iECV <22.5 ml/m(2); 51% of patients), extracellular expansion (iECV ≥22.5 ml/m(2); 22%), and replacement fibrosis (presence of mid-wall LGE, 27%). There was evidence of increasing hypertrophy, myocardial injury, diastolic dysfunction, and longitudinal systolic dysfunction consistent with progressive left ventricular decompensation (all p < 0.05) across these groups. Moreover, this categorization was of prognostic value with stepwise increases in unadjusted all-cause mortality (8 deaths/1,000 patient-years vs. 36 deaths/1,000 patient-years vs. 71 deaths/1,000 patient-years, respectively; p = 0.009). CMR detects ventricular decompensation in aortic stenosis through the identification of myocardial extracellular expansion and replacement fibrosis. This holds major promise in tracking myocardial health in valve disease and for optimizing the timing of valve replacement. (The Role of Myocardial Fibrosis in Patients With Aortic Stenosis; NCT01755936).

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 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 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 227 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 14%
Student > Ph. D. Student 31 14%
Student > Doctoral Student 24 11%
Other 20 9%
Student > Master 16 7%
Other 38 17%
Unknown 67 29%
Readers by discipline Count As %
Medicine and Dentistry 114 50%
Biochemistry, Genetics and Molecular Biology 5 2%
Agricultural and Biological Sciences 4 2%
Engineering 3 1%
Immunology and Microbiology 2 <1%
Other 12 5%
Unknown 88 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 08 July 2018.
All research outputs
#1,279,352
of 25,411,814 outputs
Outputs from JACC: Cardiovascular Imaging
#421
of 2,703 outputs
Outputs of similar age
#25,981
of 422,737 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#11
of 51 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,703 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 84% 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 422,737 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 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.