1
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Ma W, Oh I, Luo Y, Kumar S, Gupta A, Lai AM, Puri V, Kreisel D, Gelman AE, Nava R, Witt CA, Byers DE, Halverson L, Vazquez-Guillamet R, Payne PRO, Sotiras A, Lu H, Niazi K, Gurcan MN, Hachem RR, Michelson AP. Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation. Am J Transplant 2025; 25:1339-1349. [PMID: 39924113 DOI: 10.1016/j.ajt.2025.01.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 01/23/2025] [Accepted: 01/23/2025] [Indexed: 02/11/2025]
Abstract
Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with poor outcomes. Although risk factors have been identified, the complex interactions between clinical variables affecting PGD risk are not well understood, which can complicate decisions about donor-lung acceptance. Previously, we developed a machine learning model to predict grade 3 PGD using donor and recipient electronic health record data, but it lacked granular information from donor-lung computed tomography (CT) scans, which are routinely assessed during offer review. In this study, we used a gated approach to determine optimal methods for analyzing donor-lung CT scans among patients receiving first-time, bilateral lung transplants at a single center over 10 years. We assessed 4 computer vision approaches and fused the best with electronic health record data at 3 points in the machine learning process. A total of 160 patients had donor-lung CT scans for analysis. The best imaging-only approach employed a 3D ResNet model, yielding median (interquartile range) areas under the receiver operating characteristic and precision-recall curves of 0.63 (0.49-0.72) and 0.48 (0.35-0.6), respectively. Combining imaging with clinical data using late fusion provided the highest performance, with median areas under the receiver operating characteristic and precision-recall curves of 0.74 (0.59-0.85) and 0.61 (0.47-0.72), respectively.
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Affiliation(s)
- Weiwei Ma
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Inez Oh
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Yixuan Luo
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Sayantan Kumar
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Aditi Gupta
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Albert M Lai
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Varun Puri
- Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Daniel Kreisel
- Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Andrew E Gelman
- Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Ruben Nava
- Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Chad A Witt
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Derek E Byers
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Laura Halverson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Rodrigo Vazquez-Guillamet
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Philip R O Payne
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Aristeidis Sotiras
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Department of Radiology, Washington University School of Medicine, Saint Louis, Missouri, USA
| | - Hao Lu
- Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Khalid Niazi
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Metin N Gurcan
- Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Ramsey R Hachem
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Andrew P Michelson
- Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, Saint Louis, Missouri, USA.
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2
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Flöthmann K, Davide de Manna N, Aburahma K, Kruszona S, Wand P, Bobylev D, Müller C, Carlens J, Schwerk N, Avsar M, Ruhparwar A, Kühn C, Greer M, Salman J, Ius F. Impact of donor organ quality on recipient outcomes in lung transplantation: 14-Year single-center experience using the Eurotransplant lung donor score. JHLT OPEN 2024; 6:100166. [PMID: 40145051 PMCID: PMC11935426 DOI: 10.1016/j.jhlto.2024.100166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/28/2025]
Abstract
Background The use of extended-criteria donor (ECD) organs has increased in lung transplantation, but their impact on long-term outcomes remains unclear. This retrospective single-center study evaluates the impact of donor quality, as defined by the Eurotransplant (ET) lung donor score, on long-term graft function and survival. Methods Records of recipients transplanted between January 2010 and May 2023 were reviewed. Eurotransplant lung donor scores (ET scores) were retrospectively calculated from the corresponding donor reports. Outcomes were compared between recipients of donor lungs with an ET score of 6 (group 1), 7 and 8 (group 2), and 9 to 13 (group 3, ECD lungs). Median follow-up was 64 (30-104) months. Results In total, 280 (19%) patients were transplanted with ET score 6 lungs, 717 (48%) patients with ET scores 7 and 8 lungs, and 506 (34%) patients with ET scores 9 to 13 (ECD) lungs. The occurrence of primary graft dysfunction grade 3 at 72 hours (p = 0.672), duration of mechanical ventilation (p = 0.062), and in-hospital mortality (p = 0.713) did not differ between groups. Long-term graft survival (%) was lower in group 2 and 3 vs group 1 recipients (at 10 years: 51 and 48 vs 56, p = 0.052, respectively). Similarly, freedom from chronic lung allograft dysfunction (CLAD, %) was lower in group 2 and 3 vs group 1 recipients (at 10 years: 57 and 55 vs 63, p = 0.033, respectively). Donor smoking history was associated with worse CLAD-free survival (hazard ratio = 1.466, 95% confidence interval = 1.215-1.769, p < 0.001). Conclusions ECD lungs represented an important resource in lung transplantation. However, their use may be associated with a worse long-term graft and CLAD-free survival.
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Affiliation(s)
- Katharina Flöthmann
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Nunzio Davide de Manna
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Khalil Aburahma
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Sophie Kruszona
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Philipp Wand
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Dmitry Bobylev
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Carsten Müller
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Julia Carlens
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Nicolaus Schwerk
- Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Murat Avsar
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Arjang Ruhparwar
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
- German Center for Lung Research (DZL/BREATH), Hannover, Germany
| | - Christian Kühn
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
- German Center for Lung Research (DZL/BREATH), Hannover, Germany
| | - Mark Greer
- Department of Respiratory Medicine and Infectious Diseases, Hannover Medical School, Hannover, Germany
- German Center for Lung Research (DZL/BREATH), Hannover, Germany
| | - Jawad Salman
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
| | - Fabio Ius
- Department of Cardiothoracic, Transplant and Vascular Surgery, Hannover Medical School, Hannover, Germany
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3
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Heiden BT, Yang Z, Bai YZ, Yan Y, Chang SH, Park Y, Colditz GA, Dart H, Hachem RR, Witt CA, Vazquez Guillamet R, Byers DE, Marklin GF, Pasque MK, Kreisel D, Nava RG, Meyers BF, Kozower BD, Puri V. Development and validation of the lung donor (LUNDON) acceptability score for pulmonary transplantation. Am J Transplant 2023; 23:540-548. [PMID: 36764887 PMCID: PMC10234600 DOI: 10.1016/j.ajt.2022.12.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 01/04/2023]
Abstract
There is a chronic shortage of donor lungs for pulmonary transplantation due, in part, to low lung utilization rates in the United States. We performed a retrospective cohort study using data from the Scientific Registry of Transplant Recipients database (2006-2019) and developed the lung donor (LUNDON) acceptability score. A total of 83 219 brain-dead donors were included and were randomly divided into derivation (n = 58 314, 70%) and validation (n = 24 905, 30%) cohorts. The overall lung acceptance was 27.3% (n = 22 767). Donor factors associated with the lung acceptance were age, maximum creatinine, ratio of arterial partial pressure of oxygen to fraction of inspired oxygen, mechanism of death by asphyxiation or drowning, history of cigarette use (≥20 pack-years), history of myocardial infarction, chest x-ray appearance, bloodstream infection, and the occurrence of cardiac arrest after brain death. The prediction model had high discriminatory power (C statistic, 0.891; 95% confidence interval, 0.886-0.895) in the validation cohort. We developed a web-based, user-friendly tool (available at https://sites.wustl.edu/lundon) that provides the predicted probability of donor lung acceptance. LUNDON score was also associated with recipient survival in patients with high lung allocation scores. In conclusion, the multivariable LUNDON score uses readily available donor characteristics to reliably predict lung acceptability. Widespread adoption of this model may standardize lung donor evaluation and improve lung utilization rates.
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Affiliation(s)
- Brendan T Heiden
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA; Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Zhizhou Yang
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yun Zhu Bai
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yan Yan
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Su-Hsin Chang
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yikyung Park
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Graham A Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Hank Dart
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ramsey R Hachem
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Chad A Witt
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Rodrigo Vazquez Guillamet
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, St. Louis, Missouri, USA
| | - Derek E Byers
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University, St. Louis, Missouri, USA
| | | | - Michael K Pasque
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Daniel Kreisel
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Ruben G Nava
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bryan F Meyers
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Benjamin D Kozower
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Varun Puri
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
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4
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Schnellinger EM, Cantu E, Kimmel SE, Szymczak JE. A Conceptual Model for Sources of Differential Selection in Lung Transplant Allocation. Ann Am Thorac Soc 2023; 20:226-235. [PMID: 36044711 PMCID: PMC9989866 DOI: 10.1513/annalsats.202202-105oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/31/2022] [Indexed: 02/04/2023] Open
Abstract
Rationale: In the United States, donor lungs are allocated to transplant candidates on the basis of lung allocation scores (LAS). However, additional factors beyond the LAS can impact who is transplanted, including listing and donor-organ acceptance practices. These factors can result in differential selection, undermining the objectivity of lung allocation. Yet their impact on the lung transplant pathway has been underexplored. Objectives: We sought to systematically examine sources of differential selection in lung transplantation via qualitative methods. Methods: We conducted semistructured qualitative interviews with lung transplant surgeons and pulmonologists in the United States between June 2019 and June 2020 to understand clinician perspectives on differential selection in lung transplantation and the LAS. Results: A total of 51 respondents (30 surgeons and 21 pulmonologists) identified many sources of differential selection arising throughout the pathway from referral to transplantation. We synthesized these sources into a conceptual model with five themes: 1) transplant center's degree of risk tolerance and accountability; 2) successfulness and fairness of the LAS; 3) donor-organ availability and regional competition; 4) patient health versus program health; and 5) access to care versus responsible stewardship of organs. Conclusions: Our conceptual model demonstrates how differential selection can arise throughout lung transplantation and facilitates the further study of such selection. As new organ allocation models are developed, differential selection should be considered carefully to ensure that these models are more equitable.
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Affiliation(s)
- Erin M. Schnellinger
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Edward Cantu
- Department of Surgery, Division of Cardiovascular Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania; and
| | - Stephen E. Kimmel
- Department of Epidemiology, College of Public Health and Health Professions, and
- College of Medicine, University of Florida, Gainesville, Florida
| | - Julia E. Szymczak
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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5
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Boscolo A, Dell’Amore A, Pettenuzzo T, Sella N, De Cassai A, Pistollato E, Cacco N, Manzan A, De Carolis A, Geraldini F, Lorenzoni G, Pezzuto F, Zambello G, Schiavon M, Calabrese F, Gregori D, Cozzi E, Rea F, Navalesi P. The Impact of New Treatments on Short- and MID-Term Outcomes in Bilateral Lung Transplant: A Propensity Score Study. J Clin Med 2022; 11:5859. [PMID: 36233726 PMCID: PMC9571142 DOI: 10.3390/jcm11195859] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/25/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Despite many efforts to improve organ preservation and recipient survival, overall lung transplant (LT) mortality is still high. We aimed to investigate the impact of 'prophylactic' veno-arterial extracorporeal membrane oxygenation (VA ECMO) and tacrolimus on 72-h primary graft dysfunction (PGD) and 30-day acute cellular rejection, respectively. METHODS All consecutive LT patients admitted to the Intensive Care Unit of the Padua University Hospital (February, 2016-2022) were screened. Only adult patients undergoing first bilateral LT and not requiring cardio-pulmonary bypass, invasive mechanical ventilation, and/or ECMO before LT, were included. A propensity score weighting analysis was employed to account for the non-random allocation of the subjects to different treatments. RESULTS A total of 128 LT recipients were enrolled. Compared to the 'off-pump'-group (n.47, 37%), 'prophylactic' VA ECMO (n.51,40%) recorded similar 72-h PGD values, perioperative blood products and lower acute kidney dysfunction. Compared with cyclosporine (n.86, 67%), tacrolimus (n.42, 33%) recorded a lower risk of 30-day cellular rejection, kidney dysfunction, and bacteria isolation. CONCLUSIONS 'Prophylactic' VA ECMO recorded 72-h PGD values comparable to the 'off-pump'-group; while tacrolimus showed a lower incidence of 30-day acute cellular rejection.
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Affiliation(s)
- Annalisa Boscolo
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
| | - Andrea Dell’Amore
- Thoracic Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Tommaso Pettenuzzo
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
| | - Nicolò Sella
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
| | - Alessandro De Cassai
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
| | - Elisa Pistollato
- Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
| | - Nicola Cacco
- Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
| | - Andrea Manzan
- Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
| | - Agnese De Carolis
- Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
| | - Federico Geraldini
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
| | - Giulia Lorenzoni
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Federica Pezzuto
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Giovanni Zambello
- Thoracic Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Marco Schiavon
- Thoracic Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Fiorella Calabrese
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Dario Gregori
- Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Emanuele Cozzi
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
- Transplantation Immunology Unit, Padua University Hospital, 35128 Padua, Italy
| | - Federico Rea
- Thoracic Surgery Unit, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, 35128 Padua, Italy
| | - Paolo Navalesi
- Institute of Anesthesia and Intensive Care, Padua University Hospital, 267 C. Battisti, 35128 Padua, Italy
- Department of Medicine (DIMED), University of Padua, 35128 Padua, Italy
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6
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Courtwright AM, Wilkey B, Devarajan J, Subramani S, Martin AK, Fritz AV, Cassara CM, Boisen ML, Bottiger BA, Pollak A, Maisonave Y, Gelzinis TA. The Year in Cardiothoracic Transplant Anesthesia: Selected Highlights From 2020 Part I - Lung Transplantation. J Cardiothorac Vasc Anesth 2021; 36:33-44. [PMID: 34670721 DOI: 10.1053/j.jvca.2021.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/08/2021] [Accepted: 09/10/2021] [Indexed: 11/11/2022]
Abstract
This special article focuses on the highlights in cardiothoracic transplantation literature in the year 2020. Part I encompasses the recent literature on lung transplantation, including the advances in preoperative assessment and optimization, donor management, including the use of ex-vivo lung perfusion, recipient management, including those who have been infected with coronavirus disease 2019, updates on the perioperative management, including the use of extracorporeal membrane oxygenation, and long-term outcomes.
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Affiliation(s)
| | - Barbara Wilkey
- Department of Anesthesiology, University of Colorado, Boulder, CO
| | | | - Sudhakar Subramani
- Department of Anesthesiology, University of Iowa Hospitals & Clinics, Iowa City, IA
| | - Archer Kilbourne Martin
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Ashley Virginia Fritz
- Division of Cardiovascular and Thoracic Anesthesiology, Mayo Clinic Florida, Jacksonville, FL
| | - Christopher M Cassara
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - Michael L Boisen
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Angela Pollak
- Department of Anesthesiology, Duke University, Durham, NC
| | | | - Theresa A Gelzinis
- University of Pittsburgh, Corresponding Author, UPMC Presbyterian Hospital, Pittsburgh, PA.
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7
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Van Raemdonck D, Ceulemans LJ, Vos R, Neyrinck A. Commentary: "Cont"used though still used donor lungs for transplantation. J Thorac Cardiovasc Surg 2020; 163:1733-1735. [PMID: 33454095 DOI: 10.1016/j.jtcvs.2020.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Dirk Van Raemdonck
- Department of Thoracic Surgery, University Hospitals Leuven, Leuven, Belgium; Department of Chronic Diseases and Metabolism, Katholieke Universiteit Leuven, Leuven, Belgium.
| | - Laurens J Ceulemans
- Department of Thoracic Surgery, University Hospitals Leuven, Leuven, Belgium; Department of Chronic Diseases and Metabolism, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Robin Vos
- Department of Pneumology, University Hospitals Leuven, Leuven, Belgium; Department of Chronic Diseases and Metabolism, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Arne Neyrinck
- Department of Anesthesiology, University Hospitals Leuven, Leuven, Belgium; Department of Cardiovascular Sciences, Katholieke Universiteit Leuven, Leuven, Belgium
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