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Estimating mean circulatory filling pressure in clinical practice: a systematic review comparing three bedside methods in the critically ill

Overview of attention for article published in Annals of Intensive Care, June 2018
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2 X users
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80 Mendeley
Title
Estimating mean circulatory filling pressure in clinical practice: a systematic review comparing three bedside methods in the critically ill
Published in
Annals of Intensive Care, June 2018
DOI 10.1186/s13613-018-0418-2
Pubmed ID
Authors

Marije Wijnberge, Daniko P. Sindhunata, Michael R. Pinsky, Alexander P. Vlaar, Else Ouweneel, Jos R. Jansen, Denise P. Veelo, Bart F. Geerts

Abstract

The bedside hemodynamic assessment of the critically ill remains challenging since blood volume, arterial-venous interaction and compliance are not measured directly. Mean circulatory filling pressure (Pmcf) is the blood pressure throughout the vascular system at zero flow. Animal studies have shown Pmcf provides information on vascular compliance, volume responsiveness and enables the calculation of stressed volume. It is now possible to measure Pmcf at the bedside. We performed a systematic review of the current Pmcf measurement techniques and compared their clinical applicability, precision, accuracy and limitations. A comprehensive search strategy was performed in PubMed, Embase and the Cochrane databases. Studies measuring Pmcf in heart-beating patients at the bedside were included. Data were extracted from the articles into predefined forms. Quality assessment was based on the Newcastle-Ottawa Scale for cohort studies. A total of 17 prospective cohort studies were included. Three techniques were described: Pmcf hold, based on inspiratory hold-derived venous return curves, Pmcf arm, based on arterial and venous pressure equilibration in the arm as a model for the entire circulation, and Pmcf analogue, based on a Guytonian mathematical model of the circulation. The included studies show Pmcf to accurately follow intravascular fluid administration and vascular compliance following drug-induced hemodynamic changes. Bedside Pmcf measures allow for more direct assessment of circulating blood volume, venous return and compliance. However, studies are needed to determine normative Pmcf values and their expected changes to therapies if they are to be used to guide clinical practice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Other 11 14%
Student > Master 8 10%
Student > Doctoral Student 7 9%
Student > Postgraduate 6 8%
Other 17 21%
Unknown 19 24%
Readers by discipline Count As %
Medicine and Dentistry 40 50%
Agricultural and Biological Sciences 5 6%
Engineering 5 6%
Nursing and Health Professions 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 3 4%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2021.
All research outputs
#14,178,047
of 24,226,848 outputs
Outputs from Annals of Intensive Care
#749
of 1,108 outputs
Outputs of similar age
#167,836
of 332,264 outputs
Outputs of similar age from Annals of Intensive Care
#11
of 17 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,108 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 30th percentile – i.e., 30% 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 332,264 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.