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Prediction of ineffective elective cardioversion of atrial fibrillation: a retrospective multi-center patient cohort study

Overview of attention for article published in BMC Cardiovascular Disorders, January 2017
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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 (85th percentile)

Mentioned by

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1 news outlet
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4 tweeters
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1 Facebook page

Citations

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16 Dimensions

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32 Mendeley
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Title
Prediction of ineffective elective cardioversion of atrial fibrillation: a retrospective multi-center patient cohort study
Published in
BMC Cardiovascular Disorders, January 2017
DOI 10.1186/s12872-017-0470-0
Pubmed ID
Authors

Tapio Hellman, Tuomas Kiviniemi, Tuija Vasankari, Ilpo Nuotio, Fausto Biancari, Aissa Bah, Juha Hartikainen, Marianne Mäkäräinen, K. E. Juhani Airaksinen

Abstract

Elective cardioversion (ECV) of atrial fibrillation (AF) is a standard procedure to restore sinus rhythm. However, predictors for ineffective ECV (failure of ECV or recurrence of AF within 30 days) are unknown. We investigated 1998 ECVs performed for AF lasting >48 h in 1,342 patients in a retrospective multi-center study. Follow-up data were collected from 30 days after ECV. Median number of cardioversions was one per patient with a range of 1-10. Altogether 303/1998 (15.2%) ECVs failed. Long (>5 years) AF history and over 30 days duration of the index AF episode were independent predictors for ECV failure and low (<60/min) ventricular rate of AF predicted success of ECV. In patients with successful ECVs an early recurrence of AF was detected in 549 (32.4%) cases. Female gender, high (>60/min) ventricular rate, renal failure and antiarrhythmic agents at discharge were the independent predictors for recurrence. In total ECV was ineffective in 852 (42.6%) cases. Female gender (OR 1.44, CI95% 1.15-1.80, p < 0.01), young (<65 years) age (OR 1.31, CI95% 1.07-1.62, p = 0.01), ventricular rate >60/min (OR 1.92, CI95% 1.08-3.41, p = 0.03), antiarrhythmic medication at discharge (OR 1.48, CI95% 1.14-1.93, p < 0.01) and low (<60/ml/min) estimated glomerular filtration rate (OR 1.59, CI95% 1.08-2.33, p = 0.02) were predictors of ineffective ECV. Female gender, use of antiarrhythmic drug therapy and renal failure predicted both recurrence of AF and the composite end point. For the first time in a large real-life study several clinical predictors for clinically ineffective ECV were identified.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 4 13%
Student > Doctoral Student 3 9%
Other 3 9%
Student > Ph. D. Student 3 9%
Other 6 19%
Unknown 7 22%
Readers by discipline Count As %
Medicine and Dentistry 16 50%
Business, Management and Accounting 2 6%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 6%
Unknown 9 28%

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 30 September 2020.
All research outputs
#2,158,366
of 18,990,581 outputs
Outputs from BMC Cardiovascular Disorders
#71
of 1,244 outputs
Outputs of similar age
#53,674
of 374,731 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#1
of 1 outputs
Altmetric has tracked 18,990,581 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 1,244 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 374,731 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them