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American College of Cardiology

Article Metrics

Integrative Assessment of Congestion in Heart Failure Throughout the Patient Journey

Overview of attention for article published in JACC: Heart Failure, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 660)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
3 news outlets
twitter
178 tweeters
facebook
4 Facebook pages

Readers on

mendeley
21 Mendeley
citeulike
1 CiteULike
Title
Integrative Assessment of Congestion in Heart Failure Throughout the Patient Journey
Published in
JACC: Heart Failure, December 2017
DOI 10.1016/j.jchf.2017.09.023
Pubmed ID
Authors

Nicolas Girerd, Marie-France Seronde, Stefano Coiro, Tahar Chouihed, Pascal Bilbault, François Braun, David Kenizou, Bruno Maillier, Pierre Nazeyrollas, Gérard Roul, Ludivine Fillieux, William T. Abraham, James Januzzi, Laurent Sebbag, Faiez Zannad, Alexandre Mebazaa, Patrick Rossignol, on behalf of INI-CRCT, Great Network, and the EF-HF Group

Abstract

Congestion is one of the main predictors of poor patient outcome in patients with heart failure. However, congestion is difficult to assess, especially when symptoms are mild. Although numerous clinical scores, imaging tools, and biological tests are available to assist physicians in ascertaining and quantifying congestion, not all are appropriate for use in all stages of patient management. In recent years, multidisciplinary management in the community has become increasingly important to prevent heart failure hospitalizations. Electronic alert systems and communication platforms are emerging that could be used to facilitate patient home monitoring that identifies congestion from heart failure decompensation at an earlier stage. This paper describes the role of congestion detection methods at key stages of patient care: pre-admission, admission to the emergency department, in-hospital management, and lastly, discharge and continued monitoring in the community. The multidisciplinary working group, which consisted of cardiologists, emergency physicians, and a nephrologist with both clinical and research backgrounds, reviewed the current literature regarding the various scores, tools, and tests to detect and quantify congestion. This paper describes the role of each tool at key stages of patient care and discusses the advantages of telemedicine as a means of providing true integrated patient care.

Twitter Demographics

The data shown below were collected from the profiles of 178 tweeters 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 33%
Student > Doctoral Student 3 14%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Professor > Associate Professor 2 10%
Other 5 24%
Readers by discipline Count As %
Medicine and Dentistry 11 52%
Unspecified 4 19%
Nursing and Health Professions 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Business, Management and Accounting 1 5%
Other 2 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 138. 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 15 May 2018.
All research outputs
#76,819
of 11,373,763 outputs
Outputs from JACC: Heart Failure
#13
of 660 outputs
Outputs of similar age
#4,448
of 292,723 outputs
Outputs of similar age from JACC: Heart Failure
#3
of 44 outputs
Altmetric has tracked 11,373,763 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 98% 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 292,723 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 44 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 93% of its contemporaries.