Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Tom C, Nguyen"'
Autor:
Gloria Faerber, MD, PhD, Paolo Berretta, MD, PhD, Tom C. Nguyen, MD, PhD, Manuel Wilbring, MD, PhD, Joseph Lamelas, MD, PhD, Pierluigi Stefano, MD, PhD, Jörg Kempfert, MD, PhD, Mauro Rinaldi, MD, PhD, Davide Pacini, MD, PhD, Antonios Pitsis, MD, PhD, Marc Gerdisch, MD, PhD, Nguyen Hoang Dinh, MD, PhD, Frank Van Praet, MD, PhD, Loris Salvador, MD, PhD, Tristan Yan, MD, PhD, Nikolaos Bonaros, MD, PhD, Antonio Fiore, MD, PhD, Torsten Doenst, MD, PhD, Marco Di Eusanio, MD, PhD
Publikováno v:
JTCVS Open, Vol 17, Iss , Pp 64-71 (2024)
Objective: Randomized evidence suggests a high risk of pacemaker implantation for patients undergoing mitral valve (MV) surgery with concomitant tricuspid valve repair (cTVR). We investigated the impact of cTVR on outcomes in the Mini-Mitral Internat
Externí odkaz:
https://doaj.org/article/21ef2806dfa241829bd6aaa1f07059de
Autor:
Paul Wong, Andrew D. Wisneski, Amitoj Sandhu, Zhongjie Wang, Vaikom S. Mahadevan, Tom C. Nguyen, Julius M. Guccione
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Severe mitral valve regurgitation (MR) is a heart valve disease that progresses to end-stage congestive heart failure and death if left untreated. Surgical repair or replacement of the mitral valve (MV) remains the gold standard for treatment of seve
Externí odkaz:
https://doaj.org/article/617944ee7b3c413d8adca7322a19d330
Autor:
Andrew D. Wisneski, Yunjie Wang, Salvatore Cutugno, Salvatore Pasta, Ashley Stroh, Jiang Yao, Tom C. Nguyen, Vaikom S. Mahadevan, Julius M. Guccione
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
This study aimed to create an imaging-derived patient-specific computational model of low-flow, low-gradient (LFLG) aortic stenosis (AS) to obtain biomechanics data about the left ventricle. LFLG AS is now a commonly recognized sub-type of aortic ste
Externí odkaz:
https://doaj.org/article/bd3ccf09794a4bf8a3e12a383126a64d
Publikováno v:
Revista Colombiana de Cardiología, Vol 29, Iss 1 (2022)
Evolution of cardiac surgical training Surgical training and education began in 1890 at The Johns Hopkins Hospital. Here, the Halstedian training structure became the cornerstone for surgical education up to this day1.
Externí odkaz:
https://doaj.org/article/3892d7c6384848779a3cefe87d0c9307
Publikováno v:
JTCVS Open, Vol 10, Iss , Pp 181-182 (2022)
Externí odkaz:
https://doaj.org/article/3d7bdede8cdf44a284906e2ebe42cbd1
Autor:
Barbara C S, Hamilton, Dang, Nguyen, Sean C, Grondin, J Rafael, Sadaba, Patrick O, Myers, Carolyn M, Young, John H, Calhoon, Marc R, Moon, Yolonda L, Colson, Shaf, Keshavjee, Tom C, Nguyen
Publikováno v:
The Annals of Thoracic Surgery. 115:1052-1060
Prior efforts to capture the cardiothoracic surgery community rely on survey data with potentially biased or low response rates. Our goal is to better understand our community by assessing the membership directories from the Society of Thoracic Surge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f9f30732df964b23a77ea1bd8f09fa4
https://doi.org/10.1016/j.athoracsur.2022.07.032
https://doi.org/10.1016/j.athoracsur.2022.07.032
Publikováno v:
JTCVS Techniques. 18:44-50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed5c07198f937ecf31ca8220bdb06aff
https://doi.org/10.1016/j.xjtc.2022.11.008
https://doi.org/10.1016/j.xjtc.2022.11.008
Publikováno v:
Journal of Medical Economics. 26:120-127
Prior economic analyses demonstrate that legacy tissue valves are associated with substantial financial savings over the long run after a surgical aortic valve replacement (SAVR). Bioprostheses with RESILIA tissue reduce calcification, the primary ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64b61e9f852d160afbb3e9deeca2c5cd
https://doi.org/10.1080/13696998.2022.2159662
https://doi.org/10.1080/13696998.2022.2159662
Publikováno v:
JTCVS Open, Vol 6, Iss , Pp 146-147 (2021)
Externí odkaz:
https://doaj.org/article/756f623e3f684ccfa63491c265a24a33
Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting
Autor:
Tom C. Nguyen, Jim Havelka, Todd K. Rosengart, Christopher T. Ryan, Rodrigo Zea-Vera, Matthew J. Wall, Subhasis Chatterjee, Ravi K. Ghanta, Joseph S. Coselli, Stuart J. Corr
Publikováno v:
The Annals of Thoracic Surgery. 114:711-719
Machine learning may enhance prediction of outcomes after coronary artery bypass grafting (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and postoperative time points.Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbb5dc97a96bf42e0b135d08d854d9a0
https://doi.org/10.1016/j.athoracsur.2021.08.040
https://doi.org/10.1016/j.athoracsur.2021.08.040