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The genetics underlying acquired long QT syndrome: impact for genetic screening

Overview of attention for article published in European Heart Journal, December 2015
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
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21 X users
facebook
1 Facebook page

Citations

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168 Dimensions

Readers on

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101 Mendeley
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1 CiteULike
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Title
The genetics underlying acquired long QT syndrome: impact for genetic screening
Published in
European Heart Journal, December 2015
DOI 10.1093/eurheartj/ehv695
Pubmed ID
Authors

Hideki Itoh, Lia Crotti, Takeshi Aiba, Carla Spazzolini, Isabelle Denjoy, Véronique Fressart, Kenshi Hayashi, Tadashi Nakajima, Seiko Ohno, Takeru Makiyama, Jie Wu, Kanae Hasegawa, Elisa Mastantuono, Federica Dagradi, Matteo Pedrazzini, Masakazu Yamagishi, Myriam Berthet, Yoshitaka Murakami, Wataru Shimizu, Pascale Guicheney, Peter J Schwartz, Minoru Horie

Abstract

Acquired long QT syndrome (aLQTS) exhibits QT prolongation and Torsades de Pointes ventricular tachycardia triggered by drugs, hypokalaemia, or bradycardia. Sometimes, QTc remains prolonged despite elimination of triggers, suggesting the presence of an underlying genetic substrate. In aLQTS subjects, we assessed the prevalence of mutations in major LQTS genes and their probability of being carriers of a disease-causing genetic variant based on clinical factors. We screened for the five major LQTS genes among 188 aLQTS probands (55 ± 20 years, 140 females) from Japan, France, and Italy. Based on control QTc (without triggers), subjects were designated 'true aLQTS' (QTc within normal limits) or 'unmasked cLQTS' (all others) and compared for QTc and genetics with 2379 members of 1010 genotyped congenital long QT syndrome (cLQTS) families. Cardiac symptoms were present in 86% of aLQTS subjects. Control QTc of aLQTS was 453 ± 39 ms, shorter than in cLQTS (478 ± 46 ms, P < 0.001) and longer than in non-carriers (406 ± 26 ms, P < 0.001). In 53 (28%) aLQTS subjects, 47 disease-causing mutations were identified. Compared with cLQTS, in 'true aLQTS', KCNQ1 mutations were much less frequent than KCNH2 (20% [95% CI 7-41%] vs. 64% [95% CI 43-82%], P < 0.01). A clinical score based on control QTc, age, and symptoms allowed identification of patients more likely to carry LQTS mutations. A third of aLQTS patients carry cLQTS mutations, those on KCNH2 being more common. The probability of being a carrier of cLQTS disease-causing mutations can be predicted by simple clinical parameters, thus allowing possibly cost-effective genetic testing leading to cascade screening for identification of additional at-risk family members.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
Unknown 98 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Ph. D. Student 13 13%
Professor 8 8%
Student > Bachelor 8 8%
Student > Master 8 8%
Other 22 22%
Unknown 26 26%
Readers by discipline Count As %
Medicine and Dentistry 48 48%
Biochemistry, Genetics and Molecular Biology 9 9%
Agricultural and Biological Sciences 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Chemistry 2 2%
Other 3 3%
Unknown 31 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 23 March 2023.
All research outputs
#1,697,200
of 24,495,443 outputs
Outputs from European Heart Journal
#2,391
of 10,668 outputs
Outputs of similar age
#29,663
of 402,278 outputs
Outputs of similar age from European Heart Journal
#21
of 142 outputs
Altmetric has tracked 24,495,443 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.1. This one has done well, scoring higher than 77% 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 402,278 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 142 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.