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A simplified lung ultrasound approach to detect increased extravascular lung water in critically ill patients

Overview of attention for article published in Critical Ultrasound Journal, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 176)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

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22 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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16 Dimensions

Readers on

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73 Mendeley
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Title
A simplified lung ultrasound approach to detect increased extravascular lung water in critically ill patients
Published in
Critical Ultrasound Journal, June 2017
DOI 10.1186/s13089-017-0068-x
Pubmed ID
Authors

Antonio Anile, Jole Russo, Giacomo Castiglione, Giovanni Volpicelli

Abstract

The quantification of B-lines at lung ultrasonography is a valid tool to estimate the extravascular lung water (EVLW) in patients after major cardiac surgery. However, there is still uncertainty about the correlation between B-lines and EVLW in a general population of critically ill. To evaluate a simplified lung ultrasonographic assessment as a tool to estimate the EVLW in critically ill patients admitted to a polyvalent intensive care unit (ICU). Nineteen consecutive critically ill patients requiring mechanical ventilation and hemodynamic monitoring were enrolled. Lung ultrasonography and the thermodilution methodology (PiCCO system) were performed by two independent operators. The positive scan at lung ultrasound was defined by visualization of at least 3 B-lines. We then compared the number of chest areas positive for B-lines with the EVLW index obtained by the invasive procedure. A significant correlation was found between the number of lung quadrants positive for B-lines and EVLW indexed using both actual body weight (rho = 0.612 p = 0.0053) and predicted body weight (rho = 0.493 p = 0.032). Presence of more than 3 positive lung quadrants showed a good performance in identifying an EVLW index value >10 ml/kg of actual body weight(area under the ROC 0.894; 95% CI 0.668-0.987 p < 0.0001). Presence of of more than 4 positive lung quadrants indentified an EVLW index value >10 ml/kg of predicted body weight (area under the ROC 0.8; 95% CI 0.556-0.945 p = 0.0048). A simplified lung ultrasound approach can by used as a reliable noninvasive bedside tool to predict EVLW in emergency and critically ill patients.

Twitter Demographics

The data shown below were collected from the profiles of 22 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Other 16 22%
Researcher 13 18%
Student > Bachelor 7 10%
Student > Doctoral Student 7 10%
Student > Postgraduate 6 8%
Other 17 23%
Unknown 7 10%
Readers by discipline Count As %
Medicine and Dentistry 48 66%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 2 3%
Business, Management and Accounting 1 1%
Nursing and Health Professions 1 1%
Other 1 1%
Unknown 17 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 February 2020.
All research outputs
#1,226,167
of 15,051,638 outputs
Outputs from Critical Ultrasound Journal
#48
of 176 outputs
Outputs of similar age
#34,540
of 270,143 outputs
Outputs of similar age from Critical Ultrasound Journal
#1
of 1 outputs
Altmetric has tracked 15,051,638 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 72% 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 270,143 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them