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Clinical Implications of Physiologic Flow Adjustment in Continuous-Flow Left Ventricular Assist Devices

Overview of attention for article published in ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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6 X users
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1 patent
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1 Facebook page

Citations

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46 Mendeley
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Title
Clinical Implications of Physiologic Flow Adjustment in Continuous-Flow Left Ventricular Assist Devices
Published in
ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs, May 2017
DOI 10.1097/mat.0000000000000477
Pubmed ID
Authors

Vakhtang Tchantchaleishvili, Jessica G. Y. Luc, Caitlin M. Cohan, Kevin Phan, Laila Hübbert, Steven W. Day, H. Todd Massey

Abstract

There is increasing evidence for successful management of end-stage heart failure with continuous-flow left ventricular assist device (CF-LVAD) technology. However, passive flow adjustment at fixed CF-LVAD speed is susceptible to flow balancing issues as well as adverse hemodynamic effects relating to the diminished arterial pulse pressure and flow. With current therapy, flow cannot be adjusted with changes in venous return, which can vary significantly with volume status. This limits the performance and safety of CF-LVAD. Active flow adjustment strategies have been proposed to improve the synchrony between the pump and the native cardiovascular system, mimicking the Frank-Starling mechanism of the heart. These flow adjustment strategies include modulation by CF-LVAD pump speed by synchrony and maintenance of constant flow or constant pressure head, or a combination of these variables. However, none of these adjustment strategies have evolved sufficiently to gain widespread attention. Herein we review the current challenges and future directions of CF-LVAD therapy and sensor technology focusing on the development of a physiologic, long-term active flow adjustment strategy for CF-LVADs.

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 7 15%
Student > Doctoral Student 6 13%
Student > Master 6 13%
Other 4 9%
Other 6 13%
Unknown 9 20%
Readers by discipline Count As %
Engineering 16 35%
Medicine and Dentistry 16 35%
Sports and Recreations 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 March 2023.
All research outputs
#4,790,766
of 23,524,722 outputs
Outputs from ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs
#603
of 2,359 outputs
Outputs of similar age
#82,392
of 311,943 outputs
Outputs of similar age from ASAIO Journal: A Peer-Reviewed Journal of the American Society for Artificial Internal Organs
#9
of 27 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 74% 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 311,943 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 73% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.