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Functional hemodynamic monitoring

Overview of attention for article published in Critical Care, November 2005
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About this Attention Score

  • In the top 25% 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

news
1 news outlet
blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
259 Dimensions

Readers on

mendeley
290 Mendeley
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Title
Functional hemodynamic monitoring
Published in
Critical Care, November 2005
DOI 10.1186/cc3927
Pubmed ID
Authors

Michael R Pinsky, Didier Payen

Abstract

Hemodynamic monitoring is a central component of intensive care. Patterns of hemodynamic variables often suggest cardiogenic, hypovolemic, obstructive, or distributive (septic) etiologies to cardiovascular insufficiency, thus defining the specific treatments required. Monitoring increases in invasiveness, as required, as the risk for cardiovascular instability-induced morbidity increases because of the need to define more accurately the diagnosis and monitor the response to therapy. Monitoring is also context specific: requirements during cardiac surgery will be different from those in the intensive care unit or emergency department. Solitary hemodynamic values are useful as threshold monitors (e.g. hypotension is always pathological, central venous pressure is only elevated in disease). Some hemodynamic values can only be interpreted relative to metabolic demand, whereas others have multiple meanings. Functional hemodynamic monitoring implies a therapeutic application, independent of diagnosis such as a therapeutic trial of fluid challenge to assess preload responsiveness. Newer methods for assessing preload responsiveness include monitoring changes in central venous pressure during spontaneous inspiration, and variations in arterial pulse pressure, systolic pressure, and aortic flow variation in response to vena caval collapse during positive pressure ventilation or passive leg raising. Defining preload responsiveness using these functional measures, coupled to treatment protocols, can improve outcome from critical illness. Potentially, as these and newer, less invasive hemodynamic measures are validated, they could be incorporated into such protocolized care in a cost-effective manner.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 1%
United States 3 1%
Chile 2 <1%
Argentina 2 <1%
Brazil 2 <1%
Spain 2 <1%
United Kingdom 1 <1%
Canada 1 <1%
Mexico 1 <1%
Other 3 1%
Unknown 270 93%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 44 15%
Researcher 41 14%
Other 37 13%
Student > Master 27 9%
Student > Ph. D. Student 25 9%
Other 74 26%
Unknown 42 14%
Readers by discipline Count As %
Medicine and Dentistry 195 67%
Engineering 15 5%
Nursing and Health Professions 11 4%
Agricultural and Biological Sciences 6 2%
Computer Science 4 1%
Other 15 5%
Unknown 44 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 November 2022.
All research outputs
#1,803,762
of 25,374,647 outputs
Outputs from Critical Care
#1,607
of 6,554 outputs
Outputs of similar age
#4,481
of 158,412 outputs
Outputs of similar age from Critical Care
#1
of 23 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 75% 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 158,412 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.