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American College of Cardiology

Maximal Pre-Excitation Based Algorithm for Localization of Manifest Accessory Pathways in Adults

Overview of attention for article published in JACC: Clinical Electrophysiology, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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96 Mendeley
Title
Maximal Pre-Excitation Based Algorithm for Localization of Manifest Accessory Pathways in Adults
Published in
JACC: Clinical Electrophysiology, May 2018
DOI 10.1016/j.jacep.2018.03.018
Pubmed ID
Authors

Thomas Pambrun, Rim El Bouazzaoui, Nicolas Combes, Stéphane Combes, Pedro Sousa, Mathieu Le Bloa, Grégoire Massoullié, Ghassen Cheniti, Ruairidh Martin, Xavier Pillois, Josselin Duchateau, Frédéric Sacher, Mélèze Hocini, Pierre Jaïs, Nicolas Derval, Agustín Bortone, Serge Boveda, Arnaud Denis, Michel Haïssaguerre, Jean-Paul Albenque

Abstract

This study evaluated a new algorithm relying on maximal pre-excitation. Prior knowledge of accessory pathway (AP) location facilitates an individual ablation strategy. Delta-wave analysis on a 12-lead electrocardiogram is recognized as crucial for predicting ablation site, but can be ambiguous at basal state. An algorithm based on maximal pre-excitation, as induced by atrial pacing during an electrophysiological study, was initially developed in 132 patients with a single manifest AP. The maximally pre-excited QRS features included the global polarity in lead V1 (step 1), inferior leads (step 2), and leads V3 or I (step 3), as well as the morphology in lead II (step 4). Three investigators prospectively tested the new algorithm in 207 consecutive patients by comparing its efficacy to a control algorithm relying on basal pre-excitation. The accuracy, defined as the percent of patients with an exact prediction of AP location, was significantly greater with the new algorithm (90% vs. 63%; p < 0.001). The reproducibility, defined as the level of agreement between investigators in determining AP location, was excellent (κ > 0.75; p < 0.05) with the new algorithm and fair (0.40 < κ < 0.75; p < 0.05) with the control algorithm. An algorithm based on maximal pre-excitation allows accurate and reproducible localization of manifest APs. When ablation is indicated, the analysis of maximal pre-excitation is a sensible approach for giving a head start in endocardial mapping.

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The data shown below were collected from the profiles of 60 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Other 15 16%
Researcher 10 10%
Student > Postgraduate 10 10%
Student > Doctoral Student 8 8%
Student > Ph. D. Student 7 7%
Other 24 25%
Unknown 22 23%
Readers by discipline Count As %
Medicine and Dentistry 56 58%
Biochemistry, Genetics and Molecular Biology 2 2%
Veterinary Science and Veterinary Medicine 1 1%
Nursing and Health Professions 1 1%
Unspecified 1 1%
Other 2 2%
Unknown 33 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 04 February 2023.
All research outputs
#1,153,334
of 25,718,113 outputs
Outputs from JACC: Clinical Electrophysiology
#208
of 1,576 outputs
Outputs of similar age
#24,695
of 345,297 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#8
of 44 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done well, scoring higher than 86% 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 345,297 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 92% 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 well, scoring higher than 81% of its contemporaries.