Zobrazeno 1 - 10
of 24
pro vyhledávání: '"John Ehrlinger"'
Autor:
Thomas E. Hurst, Andrew Xanthopoulos, John Ehrlinger, Jeevanantham Rajeswaran, Amol Pande, Lucy Thuita, Nicholas G. Smedira, Nader Moazami, Eugene H. Blackstone, Randall C. Starling
Publikováno v:
ESC Heart Failure, Vol 6, Iss 5, Pp 1005-1014 (2019)
Abstract Aims The risk of HeartMate II (HMII) left ventricular assist device (LVAD) thrombosis has been reported, and serum lactate dehydrogenase (LDH), a biomarker of haemolysis, increases secondary to LVAD thrombosis. This study evaluated longitudi
Externí odkaz:
https://doaj.org/article/93ce8d27bd0d491e9c716c055279d2c8
Autor:
Jeevanantham Rajeswaran, Andrew Xanthopoulos, Randall C. Starling, John Ehrlinger, Eugene H. Blackstone, Lucy Thuita, Amol Pande, Nicholas G. Smedira, Thomas E. Hurst, Nader Moazami
Publikováno v:
ESC Heart Failure
ESC Heart Failure, Vol 6, Iss 5, Pp 1005-1014 (2019)
ESC Heart Failure, Vol 6, Iss 5, Pp 1005-1014 (2019)
Aims The risk of HeartMate II (HMII) left ventricular assist device (LVAD) thrombosis has been reported, and serum lactate dehydrogenase (LDH), a biomarker of haemolysis, increases secondary to LVAD thrombosis. This study evaluated longitudinal measu
Autor:
Hemant Ishwaran, Eugene H. Blackstone, Huzhang Mao, John Ehrlinger, Liang Li, Jeevanantham Rajeswaran
Publikováno v:
Biometrical Journal. 59:331-343
Atrial fibrillation (AF) is an abnormal heart rhythm characterized by rapid and irregular heartbeat, with or without perceivable symptoms. In clinical practice, the electrocardiogram (ECG) is often used for diagnosis of AF. Since the AF often arrives
Autor:
Randall C. Starling, Nicholas G. Smedira, Lucy Thuita, Christopher D. Pierce, John Ehrlinger, Eugene H. Blackstone, Nader Moazami
Publikováno v:
The Journal of Heart and Lung Transplantation. 34:1527-1534
Background Data from 3 institutions revealed an abrupt increase in HeartMate II (Thoratec) pump thrombosis starting in 2011, associated with 48% mortality at 6 months without transplantation or pump exchange. We sought to discover if the increase occ
Autor:
Bruce W. Lytle, A. Marc Gillinov, Jose L. Navia, Lars G. Svensson, Gösta B. Pettersson, Jay J. Idrees, Brian P. Griffin, Douglas R. Johnston, Eric E. Roselli, Maran Thamilarasan, Eugene H. Blackstone, Ashley M. Lowry, Joseph F. Sabik, Donald F. Hammer, Edward G. Soltesz, Charles M. Wojnarski, Vidyasagar Kalahasti, John Ehrlinger
Publikováno v:
The Annals of Thoracic Surgery. 100:1666-1674
Background Data regarding the risk of aortic dissection in patients with bicuspid aortic valve and large ascending aortic diameter are limited, and appropriate timing of prophylactic ascending aortic replacement lacks consensus. Thus our objectives w
Autor:
Raj Makkar, Ashley M. Lowry, Oluseun Alli, E. Murat Tuzcu, Augusto D. Pichard, John Ehrlinger, Sa'ar Minha, Charanjit S. Rihal, Jeevanantham Rajeswaran, David R. Holmes, Kevin L. Greason, Eugene H. Blackstone, Rebecca Torguson, Lars G. Svensson, Martin B. Leon, Rakesh M. Suri, Michael J. Mack, Vinod H. Thourani, Ron Waksman, Lowell P. Satler
Publikováno v:
Catheterization and Cardiovascular Interventions. 87:165-175
Objectives To identify number of cases needed to maximize device success and minimize adverse events after transfemoral transcatheter aortic valve replacement (TF-TAVR), and determine if adverse events were linked to the technical performance learnin
Autor:
Charanjit S. Rihal, Ashley M. Lowry, E. Murat Tuzcu, Raj Makkar, Michael J. Mack, Rebecca Torguson, Kevin L. Greason, Eugene H. Blackstone, Rakesh M. Suri, Oluseun Alli, Ron Waksman, Augusto D. Pichard, Lars G. Svensson, Sa'ar Minha, Vinod H. Thourani, John Ehrlinger, Jeevanantham Rajeswaran, David R. Holmes, Martin B. Leon
Publikováno v:
Catheterization and Cardiovascular Interventions. 87:154-162
Objectives To assess technical performance learning curves of teams performing transfemoral transcatheter aortic valve replacement (TF-TAVR). Background TF-TAVR is a new procedure for treating severe aortic stenosis. The number of cases required for
Autor:
Eugene H. Blackstone, Helena L. Chang, Jeevanantham Rajeswaran, Michael K. Parides, Hemant Ishwaran, Liang Li, John Ehrlinger, Annetine C. Gelijns, Alan J. Moskowitz, Michael Argenziano, Joseph J. DeRose, Jean-Phillipe Couderc, Dan Balda, François Dagenais, Michael J. Mack, Gorav Ailawadi, Peter K. Smith, Michael A. Acker, Patrick T. O'Gara, A. Marc Gillinov, Marissa A. Miller, Wendy C. Taddei-Peters, Dennis Buxton, Amy Connolly, Nancy L. Geller, David Gordon, Neal O. Jeffries, Albert Lee, Claudia S. Moy, Ilana Kogan Gombos, Jennifer Ralph, Richard Weisel, Timothy J. Gardner, Eric A. Rose, Deborah D. Ascheim, Emilia Bagiella, Ellen Moquete, Helena Chang, Melissa Chase, Seth Goldfarb, Lopa Gupta, Katherine Kirkwood, Edlira Kumbarce, Ron Levitan, Karen O'Sullivan, Jessica Overbey, Milerva Santos, Michael Weglinski, Paula Williams, Carrie Wood, Xia Ye, Michael Mack, Tracine Adame, Natalie Settele, Jenny Adams, William Ryan, Robert L. Smith, Paul Grayburn, Frederick Y. Chen, Anju Nohria, Lawrence Cohn, Prem Shekar, Sary Aranki, Gregory Couper, Michael Davidson, R. Morton Bolman, Anne Burgess, Debra Conboy, Ray Blackwell, Roger Kerzner, Michael Banbury, Andrea M. Squire, Bruce Lytle, Tomislav Mihaljevic, Pamela Lackner, Leoma Berroteran, Diana Dolney, Suzanne Fleming, Roberta Palumbo, Christine Whitman, Kathy Sankovic, Denise Kosty Sweeney, Gregory Pattakos, Mathew Williams, Lyn Goldsmith, Craig R. Smith, Yoshifumi Naka, Allan Stewart, Allan Schwartz, Daniel Bell, Danielle Van Patten, Sowmya Sreekanth, John H. Alexander, Carmelo A. Milano, Donald D. Glower, Joseph P. Mathew, J. Kevin Harrison, Stacey Welsh, T. Bruce Ferguson, Alan P. Kypson, Evelio Rodriguez, Malissa Harris, Brenda Akers, Allison O'Neal, John D. Puskas, Vinod H. Thourani, Robert Guyton, Jefferson Baer, Kim Baio, Alexis A. Neill, Pierre Voisine, Mario Senechal, Kim O'Connor, Gladys Dussault, Tatiana Ballivian, Suzanne Keilani, Robert E. Michler, David A. D'Alessandro, Daniel J. Goldstein, Ricardo Bello, William Jakobleff, Mario Garcia, Cynthia Taub, Daniel Spevack, Roger Swayze, Nadia Sookraj, Louis P. Perrault, Arsène-Joseph Basmadjian, Denis Bouchard, Michel Carrier, Raymond Cartier, Michel Pellerin, Jean François Tanguay, Ismael El-Hamamsy, André Denault, Jonathan Lacharité, Sophie Robichaud, David H. Adams, Robin Varghese, Yael Mandel-Portnoy, Keith A. Horvath, Philip C. Corcoran, Michael P. Siegenthaler, Mandy Murphy, Margaret Iraola, Ann Greenberg, Chittoor Sai-Sudhakar, Ayseha Hasan, Asia McDavid, Bradley Kinn, John C. Mullen, Jonathan Choy, Steven Meyer, Emily Kuurstra, James S. Gammie, Christopher R. DeFilippi, Dino T. Gaetani, Cindi A. Young, Dana Beach, Julia Collins, Steven F. Bolling, Francis D. Pagani, Cathie Bloem, Y. Joseph Woo, Mary Lou Mayer, Joseph E. Bavaria, Wilson Y. Szeto, Kenneth Margulies, Martin Keane, Helene Glassberg, Dinesh Jagasia, James Kirkpatrick, Irving L. Kron, Karen Johnston, John M. Dent, John Kern, Jessica Keim, Sandra Burks, Kim Gahring, Abeel Mangi, Joseph Akar, David Yuh, Lynn Wilson, David A. Bull, Patrice Desvigne-Nickens, Dennis O. Dixon, Mark Haigney, Richard Holubkov, Alice Jacobs, Frank Miller, John M. Murkin, John Spertus, Andrew S. Wechsler, Frank Sellke, Cheryl L. McDonald, Robert Byington, Neal Dickert, John S. Ikonomidis, David O. Williams, Clyde W. Yancy, John M. Canty, James C. Fang, Nadia Giannetti, Wayne Richenbacher, Vivek Rao, Karen L. Furie, Rachel Miller, Sean Pinney, William C. Roberts, Mary N. Walsh, Judy Hung, Xin Zeng, Jean-Philippe Couderc, Wayne Bowen, Mauri Wilson, Anne Schering
Publikováno v:
The Journal of Thoracic and Cardiovascular Surgery. 157:234-243.e9
Objective To use novel statistical methods for analyzing the effect of lesion set on (long-standing) persistent atrial fibrillation (AF) in the Cardiothoracic Surgical Trials Network trial of surgical ablation during mitral valve surgery (MVS). Metho
Autor:
Hemant Ishwaran, Liang Li, Udaya B. Kogalur, John Ehrlinger, Eugene H. Blackstone, Jeevanantham Rajeswaran, Amol J. Pande
Machine learning methods provide a powerful approach for analyzing longitudinal data in which repeated measurements are observed for a subject over time. We boost multivariate trees to fit a novel flexible semi-nonparametric marginal model for longit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b388a1836bfed0f067a9fdac342a9785
https://europepmc.org/articles/PMC5731792/
https://europepmc.org/articles/PMC5731792/
Autor:
John Ehrlinger, Hemant Ishwaran, Jeevanantham Rajeswaran, Eugene H. Blackstone, Michael K. Parides, Liang Li
Publikováno v:
Statistical methods in medical research. 27(1)
Atrial fibrillation is an arrhythmic disorder where the electrical signals of the heart become irregular. The probability of atrial fibrillation (binary response) is often time varying in a structured fashion, as is the influence of associated risk f