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Focused cardiac ultrasound as a predictor of readmission in acute decompensated heart failure

Overview of attention for article published in The International Journal of Cardiovascular Imaging, February 2018
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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 2,020)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 news outlet
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48 X users

Citations

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16 Dimensions

Readers on

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51 Mendeley
Title
Focused cardiac ultrasound as a predictor of readmission in acute decompensated heart failure
Published in
The International Journal of Cardiovascular Imaging, February 2018
DOI 10.1007/s10554-018-1317-1
Pubmed ID
Authors

Luke J. Laffin, Amit V. Patel, Narayan Saha, Julian Barbat, James K. Hall, Matthew Cain, Kishan Parikh, Jay Shah, Kirk T. Spencer

Abstract

Acute decompensated heart failure (ADHF) is a common reason for admission to the hospital, and readmission is frequent. Multiple factors contribute to rehospitalizations, but inadequate assessment of volume status leading to persistent congestion is an important factor. We sought to determine if focused cardiac ultrasound (FCU) of the inferior vena cava (IVC), as a surrogate of volume status, would predict readmission of ADHF patients after index hospitalization. Patients admitted with a primary diagnosis of ADHF were prospectively enrolled. All patients underwent FCU of the IVC on admission and then daily. 82 patients were enrolled. Patients demonstrated improvement in heart failure physical examination findings and symptoms during the hospitalization. There was a reduction in the size of the IVC and a significant increase in patients with small collapsible vena cava. Logistic regression analysis of physical examination, patient symptoms, and IVC parameters at discharge demonstrated IVC collapsibility and patient reported dyspnea improvement as the only significant variables to predict readmission or emergency department visit. FCU assessment of IVC size and collapsibility may be useful in patients with ADHF to predict risk of being readmitted within 30 days of hospital discharge.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Other 6 12%
Student > Bachelor 4 8%
Professor > Associate Professor 4 8%
Librarian 3 6%
Other 7 14%
Unknown 15 29%
Readers by discipline Count As %
Medicine and Dentistry 27 53%
Unspecified 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Neuroscience 1 2%
Other 2 4%
Unknown 18 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 05 April 2024.
All research outputs
#1,092,873
of 25,711,998 outputs
Outputs from The International Journal of Cardiovascular Imaging
#8
of 2,020 outputs
Outputs of similar age
#27,476
of 472,680 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#1
of 32 outputs
Altmetric has tracked 25,711,998 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 2,020 research outputs from this source. They receive a mean Attention Score of 2.3. 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 472,680 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 94% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.