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Prediction of fluid responsiveness: an update

Overview of attention for article published in Annals of Intensive Care, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
87 X users
patent
1 patent
facebook
5 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

dimensions_citation
419 Dimensions

Readers on

mendeley
918 Mendeley
Title
Prediction of fluid responsiveness: an update
Published in
Annals of Intensive Care, November 2016
DOI 10.1186/s13613-016-0216-7
Pubmed ID
Authors

Xavier Monnet, Paul E. Marik, Jean-Louis Teboul

Abstract

In patients with acute circulatory failure, the decision to give fluids or not should not be taken lightly. The risk of overzealous fluid administration has been clearly established. Moreover, volume expansion does not always increase cardiac output as one expects. Thus, after the very initial phase and/or if fluid losses are not obvious, predicting fluid responsiveness should be the first step of fluid strategy. For this purpose, the central venous pressure as well as other "static" markers of preload has been used for decades, but they are not reliable. Robust evidence suggests that this traditional use should be abandoned. Over the last 15 years, a number of dynamic tests have been developed. These tests are based on the principle of inducing short-term changes in cardiac preload, using heart-lung interactions, the passive leg raise or by the infusion of small volumes of fluid, and to observe the resulting effect on cardiac output. Pulse pressure and stroke volume variations were first developed, but they are reliable only under strict conditions. The variations in vena caval diameters share many limitations of pulse pressure variations. The passive leg-raising test is now supported by solid evidence and is more frequently used. More recently, the end-expiratory occlusion test has been described, which is easily performed in ventilated patients. Unlike the traditional fluid challenge, these dynamic tests do not lead to fluid overload. The dynamic tests are complementary, and clinicians should choose between them based on the status of the patient and the cardiac output monitoring technique. Several methods and tests are currently available to identify preload responsiveness. All have some limitations, but they are frequently complementary. Along with elements indicating the risk of fluid administration, they should help clinicians to take the decision to administer fluids or not in a reasoned way.

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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 918 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 2 <1%
Chile 1 <1%
Portugal 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 912 99%

Demographic breakdown

Readers by professional status Count As %
Other 147 16%
Student > Postgraduate 140 15%
Researcher 87 9%
Student > Master 84 9%
Student > Ph. D. Student 69 8%
Other 194 21%
Unknown 197 21%
Readers by discipline Count As %
Medicine and Dentistry 584 64%
Nursing and Health Professions 36 4%
Veterinary Science and Veterinary Medicine 17 2%
Agricultural and Biological Sciences 11 1%
Engineering 11 1%
Other 46 5%
Unknown 213 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 30 May 2023.
All research outputs
#586,198
of 25,837,817 outputs
Outputs from Annals of Intensive Care
#54
of 1,210 outputs
Outputs of similar age
#11,960
of 422,019 outputs
Outputs of similar age from Annals of Intensive Care
#1
of 23 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 95% 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 422,019 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 97% of its contemporaries.
We're also able to compare this research output to 23 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 95% of its contemporaries.