Title |
J Waves for Predicting Cardiac Events in Hypertrophic Cardiomyopathy
|
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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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 17% |
Spain | 5 | 12% |
Malaysia | 2 | 5% |
Argentina | 2 | 5% |
Venezuela, Bolivarian Republic of | 2 | 5% |
India | 2 | 5% |
Mexico | 2 | 5% |
Cyprus | 1 | 2% |
United Kingdom | 1 | 2% |
Other | 7 | 17% |
Unknown | 11 | 26% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 74% |
Practitioners (doctors, other healthcare professionals) | 4 | 10% |
Science communicators (journalists, bloggers, editors) | 4 | 10% |
Scientists | 3 | 7% |
Mendeley readers
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% |