Výsledky vyhledávání - "Rodrigo Zea Vera"

Akademický článek

Coronary artery bypass grafting at safety-net versus non–safety-net hospitalsCentral MessagePerspective

Autor: William C. Frankel, MD, Christopher B. Sylvester, PhD, Sainath Asokan, MS, Christopher T. Ryan, MD, Rodrigo Zea-Vera, MD, Qianzi Zhang, MPH, Matthew J. Wall, Jr, MD, Sandeep Markan, MD, Joseph S. Coselli, MD, Todd K. Rosengart, MD, Subhasis Chatterjee, MD, Ravi K. Ghanta, MD

Publikováno v: JTCVS Open, Vol 13, Iss , Pp 136-149 (2023)

Objectives: Safety-net hospitals (SNHs) provide essential services to predominantly underserved patients regardless of their ability to pay. We hypothesized that patients who underwent coronary artery bypass grafting (CABG) would have inferior observ

Externí odkaz: https://doaj.org/article/69a9ab709d3c4813b7a1cef684f17b69

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Akademický článek

Nationwide database analysis of one-year readmission rates after open surgical or thoracic endovascular repair of Stanford Type B aortic dissectionCentral MessagePerspective

Autor: John A. Treffalls, BS, Christopher B. Sylvester, PhD, Umang Parikh, MD, Rodrigo Zea-Vera, MD, Christopher T. Ryan, MD, Qianzi Zhang, MS, Todd K. Rosengart, MD, Matthew J. Wall, MD, Joseph S. Coselli, MD, Subhasis Chatterjee, MD, Ravi K. Ghanta, MD

Publikováno v: JTCVS Open, Vol 11, Iss , Pp 1-13 (2022)

Objective: We examined readmissions and resource use during the first postoperative year in patients who underwent thoracic endovascular aortic repair or open surgical repair of Stanford type B aortic dissection. Methods: The Nationwide Readmissions

Externí odkaz: https://doaj.org/article/a67cabb92bdd43b5a4734e335b90f46b

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Development of a Machine Learning Model to Predict Outcomes and Cost After Cardiac Surgery

Autor: Rodrigo Zea-Vera, Christopher T. Ryan, Sergio M. Navarro, Jim Havelka, Matthew J. Wall, Joseph S. Coselli, Todd K. Rosengart, Subhasis Chatterjee, Ravi K. Ghanta

Publikováno v: The Annals of Thoracic Surgery. 115:1533-1542

Machine learning (ML) algorithms may enhance outcomes prediction and help guide clinical decision making. This study aimed to develop and validate a ML model that predicts postoperative outcomes and costs after cardiac surgery.The Society of Thoracic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f39e44b6760f9ae170dc3d1fed21567
https://doi.org/10.1016/j.athoracsur.2022.06.055

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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

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Outcomes, Cost, and Readmission After Surgical Aortic or Mitral Valve Replacement at Safety-Net and Non–Safety-Net Hospitals

Autor: William C. Frankel, Christopher B. Sylvester, Sainath Asokan, Christopher T. Ryan, Rodrigo Zea-Vera, Qianzi Zhang, Mathew J. Wall, Ourania Preventza, Joseph S. Coselli, Todd K. Rosengart, Subhasis Chatterjee, Ravi K. Ghanta

Publikováno v: The Annals of Thoracic Surgery. 114:703-709

Safety-net hospitals provide essential services to vulnerable patients with complex medical and socioeconomic circumstances. We hypothesized that matched patients at safety-net hospitals and non-safety-net hospitals would have comparable outcomes, co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::184fbcf408e7258ba9ce6cd57379dabf
https://doi.org/10.1016/j.athoracsur.2022.01.049

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Ninety-Day Readmission After Open Surgical Repair of Stanford Type A Aortic Dissection

Autor: Subhasis Chatterjee, Ravi K. Ghanta, Ourania Preventza, Todd K. Rosengart, Joseph S. Coselli, Qianzi Zhang, Rodrigo Zea-Vera, Scott A. LeMaire, Arsalan Amin

Publikováno v: The Annals of Thoracic Surgery. 113:1971-1978

Investigations into readmissions after surgical repair of acute Stanford type A aortic dissection (TAAD) remain scarce. We analyzed potential risk factors for readmission after TAAD.The 2013 to 2014 US Nationwide Readmissions Database was queried for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7234a6e05d7438bab8dad5f82dfbfeec
https://doi.org/10.1016/j.athoracsur.2021.06.065

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Outcomes of Aortic Valve Replacement for Chronic Aortic Insufficiency: Analysis of the Society of Thoracic Surgeons Database

Autor: Qianzi Zhang, Christopher T. Ryan, Todd K. Rosengart, Rodrigo Zea-Vera, Ravi K. Ghanta, Ayman Almousa, Christopher I. Amos, Joseph S. Coselli

Publikováno v: Ann Thorac Surg

This study evaluated outcomes and risk factors for surgical aortic valve replacement (SAVR) for aortic insufficiency (AI) in a national cohort. We analyzed the incidence, outcomes, and risk factors for SAVR for AI in the Society of Thoracic Surgeons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f1f700b4c82f90a37820dc56131f836
https://doi.org/10.1016/j.athoracsur.2021.04.027

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Coronary artery bypass grafting at safety-net versus non–safety-net hospitals

Autor: William C. Frankel, Christopher B. Sylvester, Sainath Asokan, Christopher T. Ryan, Rodrigo Zea-Vera, Qianzi Zhang, Matthew J. Wall, Sandeep Markan, Joseph S. Coselli, Todd K. Rosengart, Subhasis Chatterjee, Ravi K. Ghanta

Publikováno v: JTCVS Open

OBJECTIVES: Safety-net hospitals (SNHs) provide essential services to predominantly underserved patients regardless of their ability to pay. We hypothesized that patients who underwent coronary artery bypass grafting (CABG) would have inferior observ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc63b61cdfc466c35b5ebd542831846
https://europepmc.org/articles/PMC10091382/

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