↓ Skip to main content

Electrophysiological Mechanisms of Bayés Syndrome: Insights from Clinical and Mouse Studies

Overview of attention for article published in Frontiers in Physiology, May 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Electrophysiological Mechanisms of Bayés Syndrome: Insights from Clinical and Mouse Studies
Published in
Frontiers in Physiology, May 2016
DOI 10.3389/fphys.2016.00188
Pubmed ID
Authors

Gary Tse, Eric Tsz Him Lai, Jie Ming Yeo, Bryan P. Yan

Abstract

Bayés syndrome is an under-recognized clinical condition characterized by inter-atrial block (IAB). This is defined electrocardiographically as P-wave duration > 120 ms and can be categorized into first, second and third degree IAB. It can be caused by inflammatory conditions such as systemic sclerosis and rheumatoid arthritis, abnormal protein deposition in cardiac amyloidosis, or neoplastic processes invading the inter-atrial conduction system, such as primary cardiac lymphoma. It may arise transiently during volume overload, autonomic dysfunction or electrolyte disturbances from vomiting. In other patients without an obvious cause, the predisposing factors are diabetes mellitus, hypertensive heart disease, and hypercholesterolemia. IAB has a strong association with atrial arrhythmogenesis, left atrial enlargement (LAE), and electro-mechanical discordance, increasing the risk of cerebrovascular accidents as well as myocardial and mesenteric ischemia. The aim of this review article is to synthesize experimental evidence on the pathogenesis of IAB and its underlying molecular mechanisms. Current medical therapies include anti-fibrotic, anti-arrhythmic and anti-coagulation agents, whereas interventional options include atrial resynchronization therapy by single or multisite pacing. Future studies will be needed to elucidate the significance of the link between IAB and atrial tachyarrhythmias in patients with different underlying etiologies and optimize the management options in these populations.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Researcher 6 13%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Postgraduate 4 9%
Other 12 27%
Unknown 8 18%
Readers by discipline Count As %
Medicine and Dentistry 25 56%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Decision Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 May 2016.
All research outputs
#20,330,976
of 22,875,477 outputs
Outputs from Frontiers in Physiology
#9,417
of 13,671 outputs
Outputs of similar age
#291,458
of 338,929 outputs
Outputs of similar age from Frontiers in Physiology
#118
of 166 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,671 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 338,929 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.