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J Waves for Predicting Cardiac Events in Hypertrophic Cardiomyopathy

Overview of attention for article published in JACC: Clinical Electrophysiology, June 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 (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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42 X users
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4 Facebook pages

Citations

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28 Mendeley
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Title
J Waves for Predicting Cardiac Events in Hypertrophic Cardiomyopathy
Published in
JACC: Clinical Electrophysiology, June 2017
DOI 10.1016/j.jacep.2017.03.010
Pubmed ID
Authors

Toyonobu Tsuda, Kenshi Hayashi, Tetsuo Konno, Kenji Sakata, Takashi Fujita, Akihiko Hodatsu, Yoji Nagata, Ryota Teramoto, Akihiro Nomura, Yoshihiro Tanaka, Hiroshi Furusho, Masayuki Takamura, Masa-aki Kawashiri, Noboru Fujino, Masakazu Yamagishi

Abstract

This study sought to investigate whether the presence of J waves was associated with cardiac events in patients with hypertrophic cardiomyopathy (HCM). It has been uncertain whether the presence of J waves predicts life-threatening cardiac events in patients with HCM. This study evaluated consecutive 338 patients with HCM (207 men; age 61 ± 17 years of age). A J-wave was defined as J-point elevation >0.1 mV in at least 2 contiguous inferior and/or lateral leads. Cardiac events were defined as sudden cardiac death, ventricular fibrillation or sustained ventricular tachycardia, or appropriate implantable cardiac defibrillator therapy. The study also investigated whether adding the J-wave in a conventional risk model improved a prediction of cardiac events. J waves were seen in 46 (13.6%) patients at registration. Cardiac events occurred in 31 patients (9.2%) during median follow-up of 4.9 years (interquartile range: 2.6 to 7.1 years). In a Cox proportional hazards model, the presence of J waves was significantly associated with cardiac events (adjusted hazard ratio: 4.01; 95% confidence interval [CI]: 1.78 to 9.05; p = 0.001). Compared with the conventional risk model, the model using J waves in addition to conventional risks better predicted cardiac events (net reclassification improvement, 0.55; 95% CI: 0.20 to 0.90; p = 0.002). The presence of J waves was significantly associated with cardiac events in HCM. Adding J waves to conventional cardiac risk factors improved prediction of cardiac events. Further confirmatory studies are needed before considering J-point elevation as a marker of risk for use in making management decisions regarding risk in patients with HCM.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Bachelor 4 14%
Professor > Associate Professor 3 11%
Researcher 2 7%
Student > Master 2 7%
Other 5 18%
Unknown 8 29%
Readers by discipline Count As %
Medicine and Dentistry 13 46%
Biochemistry, Genetics and Molecular Biology 1 4%
Nursing and Health Professions 1 4%
Mathematics 1 4%
Sports and Recreations 1 4%
Other 1 4%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 18 November 2017.
All research outputs
#1,512,681
of 25,382,440 outputs
Outputs from JACC: Clinical Electrophysiology
#334
of 1,554 outputs
Outputs of similar age
#29,497
of 328,389 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#11
of 40 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 78% 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 328,389 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 91% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.