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Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis

Overview of attention for article published in BioMedical Engineering OnLine, May 2018
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1 tweeter

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Title
Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis
Published in
BioMedical Engineering OnLine, May 2018
DOI 10.1186/s12938-018-0491-7
Pubmed ID
Authors

Massimo Capoccia, Silvia Marconi, Sanjeet Avtaar Singh, Domenico M. Pisanelli, Claudio De Lazzari

Abstract

Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure-volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates. We sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM© was the software used for this purpose. The study was based on retrospective analysis of haemodynamic data previously discussed at a multidisciplinary meeting. The outcome of the simulations addressed the value of a more quantitative approach in the clinical decision process. Although previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 6 15%
Other 5 12%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Other 8 20%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 11 27%
Engineering 8 20%
Business, Management and Accounting 2 5%
Nursing and Health Professions 2 5%
Computer Science 2 5%
Other 7 17%
Unknown 9 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 June 2018.
All research outputs
#11,570,485
of 13,020,439 outputs
Outputs from BioMedical Engineering OnLine
#474
of 576 outputs
Outputs of similar age
#235,401
of 271,579 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 4 outputs
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So far Altmetric has tracked 576 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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