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Doppler Echocardiography for the Estimation of LV Filling Pressure in Patients With Mitral Annular Calcification

Overview of attention for article published in JACC Cardiovascular Imaging, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,140)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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221 tweeters
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6 Facebook pages

Citations

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7 Dimensions

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11 Mendeley
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Title
Doppler Echocardiography for the Estimation of LV Filling Pressure in Patients With Mitral Annular Calcification
Published in
JACC Cardiovascular Imaging, December 2017
DOI 10.1016/j.jcmg.2016.10.017
Pubmed ID
Authors

Muaz M. Abudiab, Lakshmi H. Chebrolu, Robert C. Schutt, Sherif F. Nagueh, William A. Zoghbi

Abstract

This study sought to identify Doppler parameters useful for the assessment of left ventricular filling pressure (LVFP) in patients with mitral annular calcification (MAC) and to develop and validate a decision algorithm for assessing LVFP in such patients. Predicting LVFP in the presence of MAC is problematic. Prospectively, 50 patients with MAC (mean 72 ± 11 years of age) underwent a complete Doppler echocardiographic study and right or left heart catheterization. Standard and nonstandard parameters of ventricular filling and relaxation were correlated with LVFP. Classification and regression tree analysis was used to develop a decision tree for prediction of LVFP. Validation was performed prospectively using an additional cohort with MAC and invasive hemodynamics (n = 21). In the initial study group, 26 patients had mild MAC, and 24 had moderate or severe MAC. Mean LVFP was 17.0 ± 8.1 mm Hg (range 4 to 50 mm Hg). Of the variables tested, the best predictor of LVFP was the ratio of early-to-late diastolic filling velocity (mitral E/A) (r = 0.66; p < 0.001). This finding was observed in subjects with mild as well as moderate-to-severe MAC. Importantly, the ratio of early diastolic filling velocity-to-mitral annulus velocity (E/e') demonstrated weak correlation (r = 0.42; p = 0.003). A clinical algorithm using mitral E/A and isovolumic relaxation time (IVRT) was associated with good specificity (100%) and positive predictive value (100%), and moderate sensitivity (81%) and negative predictive value (67%) for high LVFP. Validation of the clinical algorithm in a separate prospective cohort yielded a diagnostic accuracy of 94%. The E/e' ratio should not be used to estimate LVFP in subjects with significant MAC. However, mitral E/A ratio and IVRT are useful predictors of LVFP in this patient population. The proposed decision algorithm combining these Doppler parameters is accurate in estimating LVFP in patients with MAC.

Twitter Demographics

The data shown below were collected from the profiles of 221 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 36%
Researcher 2 18%
Unspecified 2 18%
Student > Ph. D. Student 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Readers by discipline Count As %
Medicine and Dentistry 8 73%
Unspecified 2 18%
Computer Science 1 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 143. 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 16 October 2018.
All research outputs
#82,019
of 12,002,905 outputs
Outputs from JACC Cardiovascular Imaging
#8
of 1,140 outputs
Outputs of similar age
#4,585
of 267,222 outputs
Outputs of similar age from JACC Cardiovascular Imaging
#1
of 44 outputs
Altmetric has tracked 12,002,905 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 99% 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 267,222 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 98% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.