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Optimisation of treatments for heart failure with reduced ejection fraction in routine practice: a position statement from a panel of experts

Overview of attention for article published in Revista Espanola De Cardiologia, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 1,808)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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267 X users

Citations

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4 Dimensions

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11 Mendeley
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Title
Optimisation of treatments for heart failure with reduced ejection fraction in routine practice: a position statement from a panel of experts
Published in
Revista Espanola De Cardiologia, March 2023
DOI 10.1016/j.rec.2023.03.005
Pubmed ID
Authors

Nicolas Girerd, Christophe Leclercq, Olivier Hanon, Antoni Bayés-Genís, James L Januzzi, Thibaut Damy, Benoit Lequeux, Christophe Meune, Pierre Sabouret, François Roubille

Abstract

Major international practice guidelines recommend the use of a combination of 4 medication classes in the treatment of patients with heart failure with reduced ejection fraction (HFrEF) but do not specify how these treatments should be introduced and up-titrated. Consequently, many patients with HFrEF do not receive an optimized treatment regimen. This review proposes a pragmatic algorithm for treatment optimization designed to be easily applied in routine practice. The first goal is to ensure that all 4 recommended medication classes are initiated as early as possible to establish effective therapy, even at a low dose. This is considered preferable to starting fewer medications at a maximum dose. The second goal is to ensure that the intervals between the introduction of different medications and between different titration steps are as short as possible to ensure patient safety. Specific proposals are made for older patients (> 75 years) who are frail, and for those with cardiac rhythm disorders. Application of this algorithm should allow an optimal treatment protocol to be achieved within 2-months in most patients, which should the treatment goal in HFrEF.

X Demographics

X Demographics

The data shown below were collected from the profiles of 267 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 18%
Professor 1 9%
Student > Bachelor 1 9%
Student > Postgraduate 1 9%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Arts and Humanities 1 9%
Economics, Econometrics and Finance 1 9%
Business, Management and Accounting 1 9%
Other 0 0%
Unknown 5 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 157. 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 03 February 2024.
All research outputs
#266,414
of 25,843,331 outputs
Outputs from Revista Espanola De Cardiologia
#5
of 1,808 outputs
Outputs of similar age
#6,550
of 427,668 outputs
Outputs of similar age from Revista Espanola De Cardiologia
#1
of 39 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,808 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 427,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.