Title |
The Complex Nature of Discordant Severe Calcified Aortic Valve Disease Grading New Insights From Combined Doppler Echocardiographic and Computed Tomographic Study
|
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Published in |
JACC, September 2013
|
DOI | 10.1016/j.jacc.2013.08.1621 |
Pubmed ID | |
Authors |
Marie-Annick Clavel, David Messika-Zeitoun, Philippe Pibarot, Shivani R. Aggarwal, Joseph Malouf, Phillip A. Araoz, Hector I. Michelena, Caroline Cueff, Eric Larose, Romain Capoulade, Alec Vahanian, Maurice Enriquez-Sarano |
Abstract |
With concomitant Doppler echocardiography and multidetector computed tomography (MDCT) measuring aortic valve calcification (AVC) load, this study aimed at defining: 1) independent physiologic/structural determinants of aortic valve area (AVA)/mean gradient (MG) relationship; 2) AVC thresholds best associated with severe aortic stenosis (AS); and 3) whether, in AS with discordant MG, severe calcified aortic valve disease is generally detected. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 20% |
United Kingdom | 4 | 6% |
Mexico | 3 | 4% |
Germany | 3 | 4% |
Saudi Arabia | 2 | 3% |
Canada | 2 | 3% |
Venezuela, Bolivarian Republic of | 2 | 3% |
Poland | 1 | 1% |
Italy | 1 | 1% |
Other | 13 | 19% |
Unknown | 24 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 49 | 71% |
Practitioners (doctors, other healthcare professionals) | 13 | 19% |
Scientists | 4 | 6% |
Science communicators (journalists, bloggers, editors) | 3 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Japan | 2 | <1% |
United Kingdom | 1 | <1% |
Canada | 1 | <1% |
Belgium | 1 | <1% |
Italy | 1 | <1% |
Argentina | 1 | <1% |
Spain | 1 | <1% |
Unknown | 259 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 39 | 14% |
Other | 38 | 14% |
Student > Ph. D. Student | 28 | 10% |
Student > Postgraduate | 27 | 10% |
Student > Master | 21 | 8% |
Other | 57 | 21% |
Unknown | 59 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 159 | 59% |
Agricultural and Biological Sciences | 9 | 3% |
Engineering | 6 | 2% |
Unspecified | 5 | 2% |
Computer Science | 3 | 1% |
Other | 13 | 5% |
Unknown | 74 | 28% |