Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Pierre, Elias"'
Autor:
J. Weston Hughes, James Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Kai Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert Rogers, Sanjiv Narayan, Pierre Elias, David Ouyang, Euan Ashley, James Zou, Marco V. Perez
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
Abstract The electrocardiogram (ECG) is the most frequently performed cardiovascular diagnostic test, but it is unclear how much information resting ECGs contain about long term cardiovascular risk. Here we report that a deep convolutional neural net
Externí odkaz:
https://doaj.org/article/f1cfc88dfe30498bb4bca60c0ff1550a
Autor:
Aakriti Gupta, Mahesh V. Madhavan, Timothy J. Poterucha, Ersilia M. DeFilippis, Jessica A. Hennessey, Bjorn Redfors, Christina Eckhardt, Behnood Bikdeli, Jonathan Platt, Ani Nalbandian, Pierre Elias, Matthew J. Cummings, Shayan N. Nouri, Matthew Lawlor, Lauren S. Ranard, Jianhua Li, Claudia Boyle, Raymond Givens, Daniel Brodie, Harlan M. Krumholz, Gregg W. Stone, Sanjum S. Sethi, Daniel Burkhoff, Nir Uriel, Allan Schwartz, Martin B. Leon, Ajay J. Kirtane, Elaine Y. Wan, Sahil A. Parikh
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Statins, which have anti-inflammatory and antithrombotic properties, could have effects in COVID-19 patients. Here, the authors find in a retrospective analysis of patients hospitalized with COVID-19 that antecedent statin use is associated with lowe
Externí odkaz:
https://doaj.org/article/2913482d7db243189a2f9e63e15bd638
Autor:
Timothy J. Poterucha, Pierre Elias, Sneha S. Jain, Gabriel Sayer, Bjorn Redfors, Daniel Burkhoff, Hannah Rosenblum, Ersilia M. DeFilippis, Aakriti Gupta, Matthew Lawlor, Mahesh V. Madhavan, Jan Griffin, Jayant Raikhelkar, Justin Fried, Kevin J. Clerkin, Andrea Kim, Adler Perotte, Mathew S. Maurer, Deepak Saluja, José Dizon, Frederick A. Ehlert, John P. Morrow, Hirad Yarmohammadi, Angelo B. Biviano, Hasan Garan, LeRoy Rabbani, Martin B Leon, Allan Schwartz, Nir Uriel, Elaine Y. Wan
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 1 (2021)
Background Cardiovascular involvement in coronavirus disease 2019 (COVID‐19) is common and leads to worsened mortality. Diagnostic cardiovascular studies may be helpful for resource appropriation and identifying patients at increased risk for death
Externí odkaz:
https://doaj.org/article/7b60e37c6e2842d589229a7438ad7be9
Autor:
Pierre Elias, Timothy J. Poterucha, Vijay Rajaram, Luca Matos Moller, Victor Rodriguez, Shreyas Bhave, Rebecca T. Hahn, Geoffrey Tison, Sean A. Abreau, Joshua Barrios, Jessica Nicole Torres, J. Weston Hughes, Marco V. Perez, Joshua Finer, Susheel Kodali, Omar Khalique, Nadira Hamid, Allan Schwartz, Shunichi Homma, Deepa Kumaraiah, David J. Cohen, Mathew S. Maurer, Andrew J. Einstein, Tamim Nazif, Martin B. Leon, Adler J. Perotte
Publikováno v:
Journal of the American College of Cardiology. 80:613-626
Valvular heart disease is an important contributor to cardiovascular morbidity and mortality and remains underdiagnosed. Deep learning analysis of electrocardiography (ECG) may be useful in detecting aortic stenosis (AS), aortic regurgitation (AR), a
Publikováno v:
Circulation. Heart failure. 15(1)
Background: Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study
Autor:
Timothy J. Poterucha, Sabahat Bokhari, Jan M. Griffin, Mathew S. Maurer, Adler J. Perotte, Sunil E. Saith, Lynne L. Johnson, Andrew J. Einstein, Mona Kinkhabwala, Kathleen R Flaherty, Albert DeLuca, Pierre Elias
Publikováno v:
JACC: Cardiovascular Imaging. 14:1221-1231
Objectives This study aimed to characterize trends in technetium Tc 99m pyrophosphate (99mTc-PYP) scanning for amyloid transthyretin cardiac amyloidosis (ATTR-CA) diagnosis, to determine whether patients underwent appropriate assessment with monoclon
Autor:
Sneha S. Jain, Tony Sun, Kathleen Brown, Vijendra Ramlall, Nicholas Tatonetti, Noémie Elhadad, Fatima Rodriguez, Ronald Witteles, Mathew S. Maurer, Timothy Poterucha, Pierre Elias
Publikováno v:
Journal of the American College of Cardiology. 81:338
Autor:
Martin B. Leon, Jianhua Li, Jonathan Platt, Gregg W. Stone, Behnood Bikdeli, Timothy J. Poterucha, Nir Uriel, Ersilia M. DeFilippis, Björn Redfors, Matthew Lawlor, Elaine Wan, Raymond Givens, Shayan Nabavi Nouri, Matthew J. Cummings, Jessica A. Hennessey, Mahesh V. Madhavan, Lauren S. Ranard, Ani Nalbandian, Ajay J. Kirtane, Daniel Burkhoff, Allan Schwartz, Aakriti Gupta, Claudia Boyle, Daniel Brodie, Harlan M. Krumholz, Pierre Elias, Sahil A. Parikh, Sanjum S. Sethi, Christina Eckhardt
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
Research Square
article-version (status) pre
article-version (number) 1
Nature Communications
Research Square
article-version (status) pre
article-version (number) 1
The coronavirus disease 2019 (COVID-19) can result in a hyperinflammatory state, leading to acute respiratory distress syndrome (ARDS), myocardial injury, and thrombotic complications, among other sequelae. Statins, which are known to have anti-infla
Autor:
Timothy J. Poterucha, Damian Kurian, Farbod Raiszadeh, Sergio Teruya, Pierre Elias, Rebecca Kogan, Codruta Chiuzan, Andrew J. Einstein, Frederick L. Ruberg, Mathew S. Maurer
Publikováno v:
The American journal of cardiology. 177
Heart failure with preserved ejection fraction is a heterogeneous clinical syndrome that includes distinct subtypes with different pathophysiologies, genetics, and treatment. Distinguishing heart failure with preserved ejection fraction caused by tra
Autor:
Timothy J Poterucha, Pierre Elias, Rebecca T Hahn, Tamim Nazif, Mathew S Maurer, Andrew J Einstein, Martin B Leon, Adler Perotte, David J Cohen
Publikováno v:
Circulation. 144
Background: Valvular heart disease (VHD) is an important contributor to CVD morbidity and mortality. The ValveNet model uses deep learning analysis of ECGs to detect moderate or severe left sided valve disease (LSVDz) including aortic stenosis (AS),