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Using heart-lung interactions to assess fluid responsiveness during mechanical ventilation

Overview of attention for article published in Critical Care, September 2000
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

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2 X users
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2 patents

Citations

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365 Dimensions

Readers on

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285 Mendeley
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Title
Using heart-lung interactions to assess fluid responsiveness during mechanical ventilation
Published in
Critical Care, September 2000
DOI 10.1186/cc710
Pubmed ID
Authors

Frédéric Michard, Jean-Louis Teboul

Abstract

According to the Frank-Starling relationship, a patient is a 'responder' to volume expansion only if both ventricles are preload dependent. Mechanical ventilation induces cyclic changes in left ventricular (LV) stroke volume, which are mainly related to the expiratory decrease in LV preload due to the inspiratory decrease in right ventricular (RV) filling and ejection. In the present review, we detail the mechanisms by which mechanical ventilation should result in greater cyclic changes in LV stroke volume when both ventricles are 'preload dependent'. We also address recent clinical data demonstrating that respiratory changes in arterial pulse (or systolic) pressure and in Doppler aortic velocity (as surrogates of respiratory changes in LV stroke volume) can be used to detect biventricular preload dependence, and hence fluid responsiveness in critically ill patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 285 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 1%
Spain 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Unknown 278 98%

Demographic breakdown

Readers by professional status Count As %
Other 42 15%
Researcher 39 14%
Student > Postgraduate 38 13%
Student > Master 26 9%
Student > Ph. D. Student 25 9%
Other 76 27%
Unknown 39 14%
Readers by discipline Count As %
Medicine and Dentistry 188 66%
Engineering 22 8%
Agricultural and Biological Sciences 6 2%
Nursing and Health Professions 6 2%
Veterinary Science and Veterinary Medicine 5 2%
Other 11 4%
Unknown 47 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 April 2023.
All research outputs
#7,047,002
of 25,373,627 outputs
Outputs from Critical Care
#3,931
of 6,554 outputs
Outputs of similar age
#11,651
of 37,744 outputs
Outputs of similar age from Critical Care
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 37,744 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 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