↓ Skip to main content

Assisted mechanical ventilation: the future is now!

Overview of attention for article published in BMC Anesthesiology, July 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users
facebook
8 Facebook pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
76 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Assisted mechanical ventilation: the future is now!
Published in
BMC Anesthesiology, July 2015
DOI 10.1186/s12871-015-0092-y
Pubmed ID
Authors

Robert M Kacmarek, Massimiliano Pirrone, Lorenzo Berra

Abstract

Assisted ventilation is a highly complex process that requires an intimate interaction between the ventilator and the patient. The complexity of this form of ventilation is frequently underappreciated by the bedside clinician. In assisted mechanical ventilation, regardless of the specific mode, the ventilator's gas delivery pattern and the patient's breathing pattern must match near perfectly or asynchrony between the patient and the ventilator occurs. Asynchrony can be categorized into four general types: flow asynchrony; trigger asynchrony; cycle asynchrony; and mode asynchrony. In an article recently published in BMC Anesthesiology, Hodane et al. have demonstrated reduced asynchrony during assisted ventilation with Neurally Adjusted Ventilatory Assist (NAVA) as compared to pressure support ventilation (PSV). These findings add to the growing volume of data indicating that modes of ventilation that provide proportional assistance to ventilation - e.g., NAVA and Proportional Assist Ventilation (PAV) - markedly reduce asynchrony. As it becomes more accepted that the respiratory center of the patient in most circumstances is the most appropriate determinant of ventilatory pattern and as the negative outcome effects of patient-ventilator asynchrony become ever more recognized, we can expect NAVA and PAV to become the preferred modes of assisted ventilation!

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Researcher 8 11%
Student > Postgraduate 7 9%
Professor > Associate Professor 7 9%
Student > Doctoral Student 6 8%
Other 22 29%
Unknown 11 14%
Readers by discipline Count As %
Medicine and Dentistry 40 53%
Engineering 5 7%
Nursing and Health Professions 5 7%
Agricultural and Biological Sciences 2 3%
Computer Science 1 1%
Other 5 7%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 August 2017.
All research outputs
#5,877,602
of 23,577,654 outputs
Outputs from BMC Anesthesiology
#206
of 1,557 outputs
Outputs of similar age
#65,913
of 264,811 outputs
Outputs of similar age from BMC Anesthesiology
#3
of 18 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,557 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 86% 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 264,811 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 74% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.