↓ Skip to main content

Addressing Multimorbidity and Polypharmacy in Individuals With Atrial Fibrillation

Overview of attention for article published in Current Cardiology Reports, March 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
63 Mendeley
Title
Addressing Multimorbidity and Polypharmacy in Individuals With Atrial Fibrillation
Published in
Current Cardiology Reports, March 2018
DOI 10.1007/s11886-018-0975-x
Pubmed ID
Authors

Fahad Shaikh, Lachlan B. Pasch, Phillip J. Newton, Beata V. Bajorek, Caleb Ferguson

Abstract

The objectives of this review were to (1) discuss how multimorbidity and polypharmacy contributes to the complexity of management among individuals with AF and (2) identify any interventions to manage polypharmacy in relation to AF. Based on the four landmark clinical trials of novel anticoagulants, the most common comorbidities with AF are hypertension, heart failure, diabetes, stroke and myocardial infarction. Polypharmacy was also found prevalent in 76.5% of patients with AF, with a median of six drugs per patient. Despite the consequences of polypharmacy in AF, there is very little evidence-based intervention designed to manage it. Hence, there is a need for further research to examine interventions to manage polypharmacy in relation to AF. Atrial fibrillation (AF) is the most common type of cardiac arrhythmia requiring treatment in adults. Due to the structural and/or electrophysiological abnormalities that occur in AF, patients are managed through the use of prophylactic anticoagulant and rate and/or rhythm control medications. However, these medications are considered high risk and can increase the chances of medication misadventure. Additionally, AF rarely occurs in isolation and is known to coexist with multiple other medical comorbidities, i.e. multimorbidity. This also increases the number of medications, i.e. polypharmacy and pill burden which results in treatment non-compliance to prescribed therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 9 14%
Student > Master 8 13%
Student > Bachelor 5 8%
Other 3 5%
Other 8 13%
Unknown 19 30%
Readers by discipline Count As %
Medicine and Dentistry 22 35%
Pharmacology, Toxicology and Pharmaceutical Science 6 10%
Nursing and Health Professions 5 8%
Agricultural and Biological Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 8%
Unknown 22 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 November 2021.
All research outputs
#2,706,487
of 23,316,003 outputs
Outputs from Current Cardiology Reports
#109
of 1,011 outputs
Outputs of similar age
#58,568
of 332,154 outputs
Outputs of similar age from Current Cardiology Reports
#2
of 25 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,011 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done well, scoring higher than 89% 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 332,154 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 25 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 96% of its contemporaries.