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Feasibility and safety of early discharge after transfemoral transcatheter aortic valve implantation – rationale and design of the FAST-TAVI registry

Overview of attention for article published in BMC Cardiovascular Disorders, October 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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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1 policy source
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4 X users

Citations

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19 Dimensions

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83 Mendeley
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Title
Feasibility and safety of early discharge after transfemoral transcatheter aortic valve implantation – rationale and design of the FAST-TAVI registry
Published in
BMC Cardiovascular Disorders, October 2017
DOI 10.1186/s12872-017-0693-0
Pubmed ID
Authors

Marco Barbanti, Jan Baan, Mark S. Spence, Fortunato Iacovelli, Gian Luca Martinelli, Francesco Saia, Alessandro Santo Bortone, Frank van der Kley, Douglas F. Muir, Cameron G. Densem, Marije Vis, Martijn S. van Mourik, Lenka Seilerova, Claudia M. Lüske, Peter Bramlage, Corrado Tamburino

Abstract

There is an increasing trend towards shorter hospital stays after transcatheter aortic valve implantation (TAVI), in particular for patients undergoing the procedure via transfemoral (TF) access. Preliminary data suggest that there exists a population of patients that can be discharged safely very early after TF-TAVI. However, current evidence is limited to few retrospective studies, encompassing relatively small sample sizes. The Feasibility And Safety of early discharge after Transfemoral TAVI (FAST-TAVI) registry is a prospective observational registry that will be conducted at 10 sites across Italy, the Netherlands and the UK. Patients will be included if they have been scheduled to undergo TF-TAVI with the balloon-expandable SAPIEN 3 transcatheter heart valve (THV; Edwards Lifesciences, Irvine, CA). The primary endpoint is a composite of all-cause mortality, vascular-access-related complications, permanent pacemaker implantation, stroke, re-hospitalisation due to cardiac reasons, kidney failure and major bleeding, occurring during the first 30 days after hospital discharge. Patients will be stratified according to whether they were high or low risk for early discharge (≤3 days) (following pre-specified criteria), and according to whether or not they were discharged early. Secondary endpoints will include time-to-event (Kaplan-Meier) analysis for the primary outcome and its individual components, analysis of the relative costs of early and late discharge, and changes in short- and long-term quality of life. Multivariate logistic regression will be used to identify factors that indicate that a patient may be suitable for early discharge. The data gathered in the FAST-TAVI registry should help to clarify the safety of early discharge after TF-TAVI and to identify patient and procedural characteristics that make early discharge from hospital a safe and cost-effective strategy. ClinicalTrials.gov Identifier: NCT02404467 (registration first received March 23rd 2015).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 11%
Student > Bachelor 9 11%
Student > Master 9 11%
Other 8 10%
Student > Postgraduate 7 8%
Other 8 10%
Unknown 33 40%
Readers by discipline Count As %
Medicine and Dentistry 26 31%
Nursing and Health Professions 8 10%
Economics, Econometrics and Finance 5 6%
Psychology 2 2%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 37 45%
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 18 November 2020.
All research outputs
#5,600,513
of 23,005,189 outputs
Outputs from BMC Cardiovascular Disorders
#244
of 1,637 outputs
Outputs of similar age
#89,666
of 324,392 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#5
of 23 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,637 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 85% 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 324,392 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 72% 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 well, scoring higher than 78% of its contemporaries.