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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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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
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22 Dimensions

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40 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.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Other 5 13%
Student > Bachelor 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Other 7 18%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 19 48%
Business, Management and Accounting 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Agricultural and Biological Sciences 1 3%
Other 3 8%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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
#3,323,030
of 24,135,931 outputs
Outputs from BMC Cardiovascular Disorders
#139
of 1,777 outputs
Outputs of similar age
#66,996
of 425,644 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#7
of 35 outputs
Altmetric has tracked 24,135,931 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,777 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 425,644 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 84% 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 82% of its contemporaries.