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Modifiable Risk Factors for Incident Heart Failure in Atrial Fibrillation

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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2 news outlets
twitter
111 X users
facebook
3 Facebook pages

Citations

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66 Dimensions

Readers on

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143 Mendeley
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Title
Modifiable Risk Factors for Incident Heart Failure in Atrial Fibrillation
Published in
JACC: Heart Failure, June 2017
DOI 10.1016/j.jchf.2017.04.004
Pubmed ID
Authors

Neal A. Chatterjee, Claudia U. Chae, Eunjung Kim, M. Vinayaga Moorthy, David Conen, Roopinder K. Sandhu, Nancy R. Cook, I-Min Lee, Christine M. Albert

Abstract

This study sought to identify modifiable risk factors and estimate the impact of risk factor modification on heart failure (HF) risk in women with new-onset atrial fibrillation (AF). Incident HF is the most common nonfatal event in patients with AF, although strategies for HF prevention are lacking. We assessed 34,736 participants in the Women's Health Study who were free of prevalent cardiovascular disease at baseline. Cox models with time-varying assessment of risk factors after AF diagnosis were used to identify significant modifiable risk factors for incident HF. Over a median follow-up of 20.6 years, 1,495 women developed AF without prevalent HF. In multivariable models, new-onset AF was associated with an increased risk of HF (hazard ratio [HR]: 9.03; 95% confidence interval [CI]: 7.52 to 10.85). Once women with AF developed HF, all-cause (HR: 1.83; 95% CI: 1.37 to 2.45) and cardiovascular mortality (HR: 2.87; 95% CI: 1.70 to 4.85) increased. In time-updated, multivariable models accounting for changes in risk factors after AF diagnosis, systolic blood pressure >120 mm Hg, body mass index ≥30 kg/m(2), current tobacco use, and diabetes mellitus were each associated with incident HF. The combination of these 4 modifiable risk factors accounted for an estimated 62% (95% CI: 23% to 83%) of the population-attributable risk of HF. Compared with women with 3 or 4 risk factors, those who maintained or achieved optimal risk factor control had a progressive decreased risk of HF (HR for 2 risk factors: 0.60; 95% CI: 0.37 to 0.95; 1 risk factor: 0.40; 95% CI: 0.25 to 0.63; and 0 risk factors: 0.14; 95% CI: 0.07 to 0.29). In women with new-onset AF, modifiable risk factors including obesity, hypertension, smoking, and diabetes accounted for the majority of the population risk of HF. Optimal levels of modifiable risk factors were associated with decreased HF risk. Prospective assessment of risk factor modification at the time of AF diagnosis may warrant future investigation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 111 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 21 15%
Student > Master 18 13%
Researcher 15 10%
Student > Doctoral Student 9 6%
Other 9 6%
Other 27 19%
Unknown 44 31%
Readers by discipline Count As %
Medicine and Dentistry 49 34%
Nursing and Health Professions 16 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Agricultural and Biological Sciences 3 2%
Sports and Recreations 3 2%
Other 17 12%
Unknown 51 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 22 October 2017.
All research outputs
#562,687
of 25,732,188 outputs
Outputs from JACC: Heart Failure
#144
of 1,624 outputs
Outputs of similar age
#11,734
of 332,736 outputs
Outputs of similar age from JACC: Heart Failure
#7
of 35 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done particularly well, scoring higher than 91% 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 332,736 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 96% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.