1
|
Hoffman JRH, Hartwig MG, Cain MT, Rove JY, Siddique A, Urban M, Mulligan MS, Bush EL, Balsara K, Demarest CT, Silvestry SC, Wilkey B, Trahanas JM, Pretorius VG, Shah AS, Moazami N, Pomfret EA, Catarino PA. Consensus Statement: Technical Standards for Thoracoabdominal Normothermic Regional Perfusion. Ann Thorac Surg 2024; 118:778-791. [PMID: 39023462 DOI: 10.1016/j.athoracsur.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/24/2024] [Indexed: 07/20/2024]
Abstract
BACKGROUND Thoracoabdominal normothermic regional perfusion (TA-NRP) has emerged as a powerful technique for optimizing organ procurement from donation after circulatory death donors. Despite its rapid adoption, standardized guidelines for TA-NRP implementation are lacking, prompting the need for consensus recommendations to ensure safe and effective utilization of this technique. METHODS A working group composed of members from The American Society of Transplant Surgeons, The International Society of Heart and Lung Transplantation, The Society of Thoracic Surgeons, and The American Association for Thoracic Surgery was convened to develop technical guidelines for TA-NRP. The group systematically reviewed existing literature, consensus statements, and expert opinions to identify key areas requiring standardization, including predonation evaluation, intraoperative management, postdonation procedures, and future research directions. RESULTS The working group formulated recommendations encompassing donor evaluation and selection criteria, premortem testing and therapeutic interventions, communication protocols, and procedural guidelines for TA-NRP implementation. These recommendations aim to facilitate coordination among transplant teams, minimize variability in practice, and promote transparency and accountability throughout the TA-NRP process. CONCLUSIONS The consensus guidelines presented herein serve as a comprehensive framework for the successful and ethical implementation of TA-NRP programs in organ procurement from donation after circulatory death donors. By providing standardized recommendations and addressing areas of uncertainty, these guidelines aim to enhance the quality, safety, and efficiency of TA-NRP procedures, ultimately contributing to improved outcomes for transplant recipients.
Collapse
Affiliation(s)
- Jordan R H Hoffman
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado
| | - Matthew G Hartwig
- Division of Cardiothoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | - Michael T Cain
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado
| | - Jessica Y Rove
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado
| | - Aleem Siddique
- Division of Cardiothoracic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska
| | - Marian Urban
- Division of Cardiothoracic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska
| | - Michael S Mulligan
- Division of Cardiothoracic Surgery, Department of Surgery, University of Washington Medical Center, Seattle, Washington
| | - Errol L Bush
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins Medicine, Baltimore, Maryland
| | - Keki Balsara
- Department of Cardiothoracic Surgery, MedStar Washington Hospital Center, Washington, DC
| | - Caitlin T Demarest
- Section of Surgical Sciences, Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Barbara Wilkey
- Department of Anesthesia, Section of Cardiothoracic Anesthesia, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado
| | - John M Trahanas
- Section of Surgical Sciences, Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Victor G Pretorius
- Division of Cardiovascular and Thoracic Surgery, Department of Surgery, University of California, San Diego, California
| | - Ashish S Shah
- Section of Surgical Sciences, Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Nader Moazami
- Department of Cardiothoracic Surgery, NYU Langone Medical Center, New York, New York
| | - Elizabeth A Pomfret
- Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado.
| | - Pedro A Catarino
- Department of Cardiac Surgery, Cedars Sinai Medical Center, Los Angeles, California
| |
Collapse
|
2
|
Hoffman JRH, Hartwig MG, Cain MT, Rove JY, Siddique A, Urban M, Mulligan MS, Bush EL, Balsara K, Demarest CT, Silvestry SC, Wilkey B, Trahanas JM, Pretorius VG, Shah AS, Moazami N, Pomfret EA, Catarino PA. Consensus Statement: Technical Standards for Thoracoabdominal Normothermic Regional Perfusion. Transplantation 2024; 108:1669-1680. [PMID: 39012953 DOI: 10.1097/tp.0000000000005101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2024]
Abstract
BACKGROUND Thoracoabdominal normothermic regional perfusion (TA-NRP) has emerged as a powerful technique for optimizing organ procurement from donation after circulatory death donors. Despite its rapid adoption, standardized guidelines for TA-NRP implementation are lacking, prompting the need for consensus recommendations to ensure safe and effective utilization of this technique. METHODS A working group composed of members from The American Society of Transplant Surgeons, The International Society of Heart and Lung Transplantation, The Society of Thoracic Surgeons, and The American Association for Thoracic Surgery was convened to develop technical guidelines for TA-NRP. The group systematically reviewed existing literature, consensus statements, and expert opinions to identify key areas requiring standardization, including predonation evaluation, intraoperative management, postdonation procedures, and future research directions. RESULTS The working group formulated recommendations encompassing donor evaluation and selection criteria, premortem testing and therapeutic interventions, communication protocols, and procedural guidelines for TA-NRP implementation. These recommendations aim to facilitate coordination among transplant teams, minimize variability in practice, and promote transparency and accountability throughout the TA-NRP process. CONCLUSIONS The consensus guidelines presented herein serve as a comprehensive framework for the successful and ethical implementation of TA-NRP programs in organ procurement from donation after circulatory death donors. By providing standardized recommendations and addressing areas of uncertainty, these guidelines aim to enhance the quality, safety, and efficiency of TA-NRP procedures, ultimately contributing to improved outcomes for transplant recipients.
Collapse
Affiliation(s)
- Jordan R H Hoffman
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - Matthew G Hartwig
- Division of Cardiothoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC
| | - Michael T Cain
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - Jessica Y Rove
- Division of Cardiothoracic Surgery, Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - Aleem Siddique
- Division of Cardiothoracic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE
| | - Marian Urban
- Division of Cardiothoracic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE
| | - Michael S Mulligan
- Division of Cardiothoracic Surgery, Department of Surgery, University of Washington Medical Center, Seattle, WA
| | - Errol L Bush
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins Medicine, Baltimore, MD
| | - Keki Balsara
- Department of Cardiothoracic Surgery, MedStar Washington Hospital Center, Washington, DC
| | - Caitlin T Demarest
- Section of Surgical Sciences, Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN
| | | | - Barbara Wilkey
- Department of Anesthesia, Section of Cardiothoracic Anesthesia, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - John M Trahanas
- Section of Surgical Sciences, Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville, TN
| | - Victor G Pretorius
- Division of Cardiovascular and Thoracic Surgery, Department of Surgery, University of California, San Diego, CA
| | - Ashish S Shah
- Section of Surgical Sciences, Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville, TN
| | - Nader Moazami
- Department of Cardiothoracic Surgery, NYU Langone Medical Center, New York, NY
| | - Elizabeth A Pomfret
- Department of Surgery, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO
| | - Pedro A Catarino
- Department of Cardiac Surgery, Cedars Sinai Medical Center, Los Angeles, CA
| |
Collapse
|
3
|
Prospective Multicenter Observational Cohort Study on Time to Death in Potential Controlled Donation after Circulatory Death Donors-Development and External Validation of Prediction Models: The DCD III Study. Transplantation 2022; 106:1844-1851. [PMID: 35266926 DOI: 10.1097/tp.0000000000004106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
BACKGROUND Acceptance of organs from controlled donation after circulatory death (cDCD) donors depends on the time to circulatory death. Here we aimed to develop and externally validate prediction models for circulatory death within 1 or 2 h after withdrawal of life-sustaining treatment. METHODS In a multicenter, observational, prospective cohort study, we enrolled 409 potential cDCD donors. For model development, we applied the least absolute shrinkage and selection operator (LASSO) regression and machine learning-artificial intelligence analyses. Our LASSO models were validated using a previously published cDCD cohort. Additionally, we validated 3 existing prediction models using our data set. RESULTS For death within 1 and 2 h, the area under the curves (AUCs) of the LASSO models were 0.77 and 0.79, respectively, whereas for the artificial intelligence models, these were 0.79 and 0.81, respectively. We were able to identify 4% to 16% of the patients who would not die within these time frames with 100% accuracy. External validation showed that the discrimination of our models was good (AUCs 0.80 and 0.82, respectively), but they were not able to identify a subgroup with certain death after 1 to 2 h. Using our cohort to validate 3 previously published models showed AUCs ranging between 0.63 and 0.74. Calibration demonstrated that the models over- and underestimated the predicted probability of death. CONCLUSIONS Our models showed a reasonable ability to predict circulatory death. External validation of our and 3 existing models illustrated that their predictive ability remained relatively stable. We accurately predicted a subset of patients who died after 1 to 2 h, preventing starting unnecessary donation preparations, which, however, need external validation in a prospective cohort.
Collapse
|
4
|
Prediction of Organ Donation After Circulatory Death: In Search of a Better Crystal Ball. Transplantation 2021; 105:1165-1166. [PMID: 32858574 DOI: 10.1097/tp.0000000000003431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
5
|
Nijhoff MF, Pol RA, Volbeda M, Kotsopoulos AM, Sonneveld JP, Otterspoor L, Abdo WF, Silderhuis VM, El Moumni M, Moers C. External Validation of the DCD-N Score and a Linear Prediction Model to Identify Potential Candidates for Organ Donation After Circulatory Death: A Nationwide Multicenter Cohort Study. Transplantation 2021; 105:1311-1316. [PMID: 32858575 PMCID: PMC8168928 DOI: 10.1097/tp.0000000000003430] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 07/07/2020] [Accepted: 07/09/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Donation after circulatory death (DCD) is a procedure in which after planned withdrawal of life-sustaining treatment (WLST), the dying process is monitored. A DCD procedure can only be continued if the potential organ donor dies shortly after WLST. This study performed an external validation of 2 existing prediction models to identify potentially DCD candidates, using one of the largest cohorts. METHODS This multicenter retrospective study analyzed all patients eligible for DCD donation from 2010 to 2015. The first model (DCD-N score) assigned points for absence of neurological reflexes and oxygenation index. The second model, a linear prediction model (LPDCD), yielded the probability of death within 60 min. This study determined discrimination (c-statistic) and calibration (Hosmer and Lemeshow test) for both models. RESULTS This study included 394 patients, 283 (72%) died within 60 min after WLST. The DCD-N score had a c-statistic of 0.77 (95% confidence intervals, 0.71-0.83) and the LPDCD model 0.75 (95% confidence intervals, 0.68-0.81). Calibration of the LPDCD 60-min model proved to be poor (Hosmer and Lemeshow test, P < 0.001). CONCLUSIONS The DCD-N score and the LPDCD model showed good discrimination but poor calibration for predicting the probability of death within 60 min. Construction of a new prediction model on a large data set is needed to obtain better calibration.
Collapse
Affiliation(s)
- Maaike F. Nijhoff
- Department of Surgery, Division of Vascular and Transplantation Surgery, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands
| | - Robert A. Pol
- Department of Surgery, Division of Vascular and Transplantation Surgery, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands
| | - Meint Volbeda
- Department of Critical Care, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands
| | | | | | - Luuk Otterspoor
- Department of Cardiology, Catharina Hospital, Eindhoven, The Netherlands
| | - Wilson F. Abdo
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Vera M. Silderhuis
- Department of Intensive Care Unit, Medisch Spectrum Twente Hospital, Enschede, The Netherlands
| | - Mostafa El Moumni
- Department of Surgery, Division of Vascular and Transplantation Surgery, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands
| | - Cyril Moers
- Department of Surgery, Division of Vascular and Transplantation Surgery, University Medical Center Groningen and University of Groningen, Groningen, The Netherlands
| |
Collapse
|