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Reed RD, Locke JE. Mitigating Health Disparities in Transplantation Requires Equity, Not Equality. Transplantation 2024; 108:100-114. [PMID: 38098158 PMCID: PMC10796154 DOI: 10.1097/tp.0000000000004630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Despite decades of research and evidence-based mitigation strategies, disparities in access to transplantation persist for all organ types and in all stages of the transplant process. Although some strategies have shown promise for alleviating disparities, others have fallen short of the equity goal by providing the same tools and resources to all rather than tailoring the tools and resources to one's circumstances. Innovative solutions that engage all stakeholders are needed to achieve equity regardless of race, sex, age, socioeconomic status, or geography. Mitigation of disparities is paramount to ensure fair and equitable access for those with end-stage disease and to preserve the trust of the public, upon whom we rely for their willingness to donate organs. In this overview, we present a summary of recent literature demonstrating persistent disparities by stage in the transplant process, along with policies and interventions that have been implemented to combat these disparities and hypotheses for why some strategies have been more effective than others. We conclude with future directions that have been proposed by experts in the field and how these suggested strategies may help us finally arrive at equity in transplantation.
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Affiliation(s)
- Rhiannon D. Reed
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL
| | - Jayme E. Locke
- Comprehensive Transplant Institute, University of Alabama at Birmingham, Birmingham, AL
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Yun SO, Kim J, Rhu J, Choi GS, Joh JW. Benefit of living donor liver transplantation in graft survival for extremely high model for end-stage liver disease score ≥35. JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES 2023; 30:1293-1303. [PMID: 37799067 DOI: 10.1002/jhbp.1376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/23/2023] [Accepted: 07/27/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND AND AIMS Living liver donation with high model for end-stage liver disease (MELD) score was discouraged despite organ shortage. This study aimed to compare graft survival between living donor liver transplantation (LDLT) and deceased donor liver transplantation (DDLT) recipients with extremely high-MELD (score of ≥35). METHODS Between 2008 and 2018, 359 patients who underwent liver transplantation with a MELD score ≥35 were enrolled. We compared graft survival between LDLT and DDLT after propensity score matching (PSM) and performed subgroup analysis according to donor type. RESULTS After PSM, there was no statistical difference in graft survival between the LDLT and DDLT groups (p = .466). Old age, acute on chronic liver failure, re-transplantation, preoperative intensive care unit stay and red blood cell (RBC) transfusion during the operation were risk factors for graft failure (p = .046, .005, .032, .015 and .001, respectively). Biliary complications were more common in the LDLT group (p = .021), while viral infection, postoperative uncontrolled ascites, and postoperative hemodialysis were more common in the DDLT group (p = .002, .018, and .027, respectively). In the LDLT group, acute chronic liver failure, intraoperative RBC transfusion, and early postoperative complications were risk factors for graft failure (p = .007, <.001, and .001, respectively). CONCLUSION Our study showed that LDLT is not inferior to DDLT in graft survival if appropriate risk evaluation is performed in cases of extremely high-MELD scores. This result will help overcome organ shortages in high-MELD liver transplantation.
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Affiliation(s)
- Sang Oh Yun
- Department of Surgery, Kyung Hee University Hospital, Kyung Hee University School of Medicine, Dongdaemun-gu, Seoul, Korea
| | - Jongman Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Gangnam-gu, Korea
| | - Jinsoo Rhu
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Gangnam-gu, Korea
| | - Gyu-Seong Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Gangnam-gu, Korea
| | - Jae-Won Joh
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Gangnam-gu, Korea
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Kim DG, Yim SH, Min EK, Choi MC, Lee JG, Kim MS, Joo DJ. Predicted Impact of the Model for End-Stage Liver Disease 3.0 in a Region Suffering Severe Organ Shortage. J Korean Med Sci 2023; 38:e274. [PMID: 37667579 PMCID: PMC10477074 DOI: 10.3346/jkms.2023.38.e274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/27/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND The model for end-stage liver disease 3.0 (MELD3.0) is expected to address the flaws of the current allocation system for deceased donor liver transplantation (DDLT). We aimed to validate MELD3.0 in the Korean population where living donor liver transplantation is predominant due to organ shortages. METHODS Korean large-volume single-centric waitlist data were merged with the Korean Network for Organ Sharing (KONOS) data. The 90-day mortality was compared between MELD and MELD3.0 using the C-index in 2,353 eligible patients registered for liver transplantation. Patient numbers and outcomes were compared based on changes in KONOS-MELD categorization using MELD3.0. Possible gains in MELD points and reduced waitlist mortality were analyzed. RESULTS MELD3.0 performed better than MELD (C-index 0.893 for MELD3.0 vs. 0.889 for MELD). When stratified according to the KONOS-MELD categories, 15.9% of the total patients and 35.2% of the deceased patients were up-categorized using MELD3.0 versus MELD categories. The mean gain of MELD points was higher in women (2.6 ± 2.1) than men (2.1 ± 1.9, P < 0.001), and higher in patients with severe ascites (3.3 ± 1.8) than in controls (1.9 ± 1.8, P < 0.001); however, this trend was not significant when the MELD score was higher than 30. When the possible increase in DDLT chance was calculated via up-categorizing using MELD3.0, reducible waitlist mortality was 2.7%. CONCLUSION MELD3.0 could predict better waitlist mortality than MELD; however, the merit for women and patients with severe ascites is uncertain, and reduced waitlist mortality from implementing MELD3.0 is limited in regions suffering from organ shortage, as in Korea.
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Affiliation(s)
- Deok-Gie Kim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Seung Hyuk Yim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Eun-Ki Min
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Mun Chae Choi
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Geun Lee
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Myoung Soo Kim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Dong Jin Joo
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.
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Kim DG, Hwang S, Lee KW, Choi GS, You YK, Ryu JH, Kim BW, Nah YW, Kim DS, Cho JY, Kang KJ, Hong G, Yu HC, Ju MK, Suh SW, Kim KW, Choi D, Jeong J, Choi SJN, Moon JI, Lee JG, Kim MS, Choi D, Joo DJ. Physical Performance Decline During the Early Posttransplantation Period Affects Survival After Living Donor Liver Transplantation. Transplantation 2023; 107:1545-1553. [PMID: 36740738 DOI: 10.1097/tp.0000000000004517] [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: 02/07/2023]
Abstract
BACKGROUND Patient physical performance has been emphasized in liver transplant recipients; however, evidence for living donor liver transplantation (LDLT) patients is lacking. This study investigated the impact of physical performance decline during the early posttransplantation period on survival and risk factors for this decline in LDLT recipients. METHODS From national registry data, 2703 LDLT patients were divided into 2 groups based on the change in their Karnofsky performance status (KPS) between 1 and 6 mo posttransplantation: declined KPS (n = 188) and control (n = 2515). Multivariable analyses were conducted to control for confounders, including posttransplantation complications. RESULTS Estimated 5-y patient survival rates were 91.6% in the declined KPS group and 96.3% in the control group, favoring the latter ( P = 0.003). The survival hazard of KPS decline was significant in a baseline covariates-adjusted Cox model (hazard ratio [HR], 2.60; 95% confidence interval [CI], 1.37-4.95) and an adjusted model accounting for posttransplantation complications (HR, 3.38; 95% CI, 1.70-6.72). In subgroup analyses, KPS decline independently reduced survival in patients without complications (HR, 3.95; 95% CI, 1.67-9.34), and the trend was similar in patients with complications, although significance was marginal (HR, 3.02; 95% CI, 0.98-9.27). We found that only posttransplantation complications, such as rejection, infection, bile duct complication, and vascular complication, were significant risk factors for KPS decline after LDLT. CONCLUSIONS Physical performance decline during the early posttransplantation period independently reduced survival rates, and posttransplantation complications were the only significant risk factors for physical performance decline in LDLT recipients.
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Affiliation(s)
- Deok-Gie Kim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, South Korea
| | - Shin Hwang
- Department of Surgery, College of Medicine University of Ulsan, Asan Medical Center, Seoul, South Korea
| | - Kwang-Woong Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Gyu-Seong Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Young Kyoung You
- Department of Surgery, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Je Ho Ryu
- Department of Surgery, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Pusan, South Korea
| | - Bong-Wan Kim
- Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, South Korea
| | - Yang Won Nah
- Department of Surgery, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, South Korea
| | - Dong-Sik Kim
- Department of Surgery, Korea University College of Medicine, Seoul, South Korea
| | - Jai Young Cho
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Koo Jeong Kang
- Department of Surgery, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, South Korea
| | - Geun Hong
- Department of Surgery, EWHA Womans University College of Medicine, Seoul, South Korea
| | - Hee Chul Yu
- Department of Surgery, Jeonbuk National University Medical School, Jeonju, South Korea
| | - Man Ki Ju
- Department of Surgery, Gangnam Severance Hospital, Yonsei University college of Medicine, Seoul, South Korea
| | - Suk-Won Suh
- Department of Surgery, College of Medicine, Chung-Ang University, Seoul, South Korea
| | - Kwan Woo Kim
- Department of Surgery, Dong-A University Hospital, Pusan, South Korea
| | - Dongho Choi
- Department of Surgery, College of Medicine, Hanyang University, Seoul, South Korea
| | - Jaehong Jeong
- Department of Surgery, School of Medicine, Soonchunhyang University, Pusan, South Korea
| | - Soo Jin Na Choi
- Department of Surgery Chonnam National University Medical School and Hospital, Gwangju, Korea
| | - Ju Ik Moon
- Department of Surgery, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea
| | - Jae Geun Lee
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, South Korea
| | - Myoung Soo Kim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, South Korea
| | - Donglak Choi
- Department of Surgery, Catholic University of Daegu, Daegu, South Korea
| | - Dong Jin Joo
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, South Korea
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Lee DH, Park YH, Choi SW, Nam KH, Choi ST, Kim D. The impact of Model for End-Stage Liver Disease score on deceased donor liver transplant outcomes in low volume liver transplantation center: a retrospective and single-center study. Ann Surg Treat Res 2021; 101:360-367. [PMID: 34934763 PMCID: PMC8651983 DOI: 10.4174/astr.2021.101.6.360] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/05/2021] [Accepted: 10/21/2021] [Indexed: 12/28/2022] Open
Abstract
PURPOSE In June 2016, the Model for End-Stage Liver Disease (MELD) score was employed in South Korea instead of the Child-Turcotte-Pugh (CTP) score. This study compared the outcomes of deceased donor liver transplantation (DDLT) before and after the MELD system application. METHODS This retrospective study reviewed 48 patients who underwent DDLT for end-stage liver disease at a single tertiary referral center between January 2014 and December 2018. The patients were categorized into the pre-MELD (22 patients) and post-MELD (26 patients) groups. The demographics, postoperative outcomes, and overall survival time were evaluated between the 2 groups. RESULTS The 2 groups had no differences in age, sex, ABO type, etiology for liver transplantation, CTP-score, operation time, cold ischemic time, and amount of red blood cell transfusion, although their MELD score differed significantly (post-MELD group, 36.2 ± 4.9; pre-MELD group, 27.7 ± 11.8; P < 0.001). The post-MELD group has longer intensive care unit stay (11.2 ± 9.5 days vs. 5.7 ± 4.5 days, P = 0.018) and hospital stay than the pre-MELD group (36.8 ± 26 days vs. 22.8 ± 9.3 days, P = 0.016). The 1-year survival rate was lower in the post-MELD group (61.5% vs. 86.4%, P = 0.029). CONCLUSION After MELD allocation, patients with high MELD scores had increased DDLT and consequently required a longer recovery time, which could negatively affect survival. According to the experience of a small-volume center, these problems were related to both severe organ shortages in South Korea and MELD allocation.
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Affiliation(s)
- Doo-Ho Lee
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Yeon Ho Park
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Seok Won Choi
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Kug Hyun Nam
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Sang Tae Choi
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
| | - Doojin Kim
- Department of Surgery, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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Kim T, Sim J, Hong SY, Kim BW. Systemic Immune-Inflammatory Marker of High Meld Patients Is Associated With Early Mortality After Liver Transplantation. Transplant Proc 2021; 53:2945-2952. [PMID: 34774308 DOI: 10.1016/j.transproceed.2021.09.039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 09/24/2021] [Indexed: 11/25/2022]
Abstract
The scarcity of deceased donor livers has led to allocation of grafts to only the most seriously ill patients with a high Model for End-Stage Liver Disease (MELD) score, which has resulted in a high mortality rate after deceased donor liver transplantation (DDLT). The aim of this study is to identify risk factors for posttransplant mortality and thereby reduce futile outcomes in DDLT. Between 2013 and 2019, 57 recipients with MELD scores ≥30 underwent DDLT in our center. We retrieved data and identified the risk factors for 90-day posttransplant mortality. The perioperative clinical and laboratory parameters of patients who did or did not survive for 90 days were subjected to logistic regression analysis. Twelve patients died within 90 days. Results of univariate analysis indicated that the differences in patient survival were determined by the amount of intraoperative platelets transfused, the presence of posttransplant septicemia, and systemic immune-inflammation index (SII) at the time of listing with MELD scores ≥30. Multivariate analysis revealed that an SII ≥870 (× 109/L) and posttransplant septicemia were independent risk factors for 90-day mortality. Twenty-two patients had SIIs ≥870, and 13 of these patients had posttransplant septicemia. Of the 13 patients, 90-day mortality occurred in 10 cases. However, in 35 patients with SIIs <870, 90-day mortality due to posttransplant septicemia was recorded only in 1 patient. In conclusion, a preoperative SII ≥870 in a patient with a high MELD score may be a significant risk factor for early posttransplant mortality. Because posttransplant septicemia in patients with high SIIs can lead to fatality, a more intensive effort to prevent infection is needed for patients undergoing DDLT carrying such risk factors to avoid futile liver transplantation.
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Affiliation(s)
- Taegyu Kim
- Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Joohyun Sim
- Department of Pediatric Surgery, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sung Yeon Hong
- Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Bong-Wan Kim
- Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, Republic of Korea.
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Polyak A, Kuo A, Sundaram V. Evolution of liver transplant organ allocation policy: Current limitations and future directions. World J Hepatol 2021; 13:830-839. [PMID: 34552690 PMCID: PMC8422916 DOI: 10.4254/wjh.v13.i8.830] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 06/22/2021] [Accepted: 07/22/2021] [Indexed: 02/06/2023] Open
Abstract
Since the adoption of the model for end-stage liver disease (MELD) score for organ allocation in 2002, numerous changes to the system of liver allocation and distribution have been made with the goal of decreasing waitlist mortality and minimizing geographic variability in median MELD score at time of transplant without worsening post-transplant outcomes. These changes include the creation and adoption of the MELD-Na score for allocation, Regional Share 15, Regional Share for Status 1, Regional Share 35/National Share 15, and, most recently, the Acuity Circles Distribution Model. However, geographic differences in median MELD at time of transplant remain as well as limits to the MELD score for allocation, as etiology of liver disease and need for transplant changes. Acute-on-chronic liver failure (ACLF) is a subset of liver failure where prevalence is rising and has been shown to have an increased mortality rate and need for transplantation that is under-demonstrated by the MELD score. This underscores the limitations of the MELD score and raises the question of whether MELD is the most accurate, objective allocation system. Alternatives to the MELD score have been proposed and studied, however MELD score remains as the current system used for allocation. This review highlights policy changes since the adoption of the MELD score, addresses limitations of the MELD score, reviews proposed alternatives to MELD, and examines the specific implications of these changes and alternatives for ACLF.
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Affiliation(s)
- Alexander Polyak
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
| | - Alexander Kuo
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
| | - Vinay Sundaram
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
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Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation. PLoS One 2021; 16:e0252068. [PMID: 34019601 PMCID: PMC8139468 DOI: 10.1371/journal.pone.0252068] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/09/2021] [Indexed: 12/17/2022] Open
Abstract
Donor-Recipient (D-R) matching is one of the main challenges to be fulfilled nowadays. Due to the increasing number of recipients and the small amount of donors in liver transplantation, the allocation method is crucial. In this paper, to establish a fair comparison, the United Network for Organ Sharing database was used with 4 different end-points (3 months, and 1, 2 and 5 years), with a total of 39, 189 D-R pairs and 28 donor and recipient variables. Modelling techniques were divided into two groups: 1) classical statistical methods, including Logistic Regression (LR) and Naïve Bayes (NB), and 2) standard machine learning techniques, including Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB) or Support Vector Machines (SVM), among others. The methods were compared with standard scores, MELD, SOFT and BAR. For the 5-years end-point, LR (AUC = 0.654) outperformed several machine learning techniques, such as MLP (AUC = 0.599), GB (AUC = 0.600), SVM (AUC = 0.624) or RF (AUC = 0.644), among others. Moreover, LR also outperformed standard scores. The same pattern was reproduced for the others 3 end-points. Complex machine learning methods were not able to improve the performance of liver allocation, probably due to the implicit limitations associated to the collection process of the database.
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Moeckli B, Majno P, Orci LA, Peloso A, Toso C. Liver Transplantation Selection and Allocation Criteria for Hepatocellular Carcinoma: A European Perspective. Semin Liver Dis 2021; 41:172-181. [PMID: 33957694 DOI: 10.1055/s-0041-1723032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
For patients with early-stage hepatocellular carcinoma (HCC), liver transplantation offers the best chance of cure. Over the past two decades, selection criteria to determine eligibility for liver transplantation have been constantly refined but a fair allocation strategy of liver grafts to HCC patients remains challenging. In Europe, over a dozen transplantation networks apply different liver transplantation criteria for HCC patients. In this review, we explore and compare candidate selection and liver graft allocation strategies for patients with HCC with a European perspective and discuss the ethical and technical challenges involved. In addition, we suggest possible paths for future improvement such as transitioning from fixed selection and allocation criteria to a more flexible model of benefit, which includes criteria concerning the graft, response to treatment, the biology of the tumor, and other relevant recipient factors.
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Affiliation(s)
- Beat Moeckli
- Department of Visceral and Transplantation Surgery, University of Geneva Hospitals, Geneva, Switzerland
| | - Pietro Majno
- Epatocentro, Ospedale Regionale di Lugano, Lugano, Switzerland
| | - Lorenzo A Orci
- Department of Visceral and Transplantation Surgery, University of Geneva Hospitals, Geneva, Switzerland
| | - Andrea Peloso
- Department of Visceral and Transplantation Surgery, University of Geneva Hospitals, Geneva, Switzerland
| | - Christian Toso
- Department of Visceral and Transplantation Surgery, University of Geneva Hospitals, Geneva, Switzerland
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Kwon TJ, Kang W, Gwak GY, Paik YH, Choi MS, Lee JH, Koh KC, Sinn DH, Paik SW. Outcome of patients with severe alcoholic hepatitis after Model for End-Stage Liver Disease-based allocation system implementation in Korea. KOREAN JOURNAL OF TRANSPLANTATION 2021; 35:24-32. [PMID: 35769621 PMCID: PMC9235328 DOI: 10.4285/kjt.20.0054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 12/13/2022] Open
Abstract
Background The Model for End-Stage Liver Disease (MELD)-based allocation system was implemented in Korea in July 2016 without a mandatory abstinence period for liver transplantation (LT) listing. However, the impact of the allocation policy has not been evaluated in patients with severe alcoholic hepatitis (AH). Methods A total of 81 consecutive patients with severe AH between January 2014 and December 2018 were analyzed. The clinical course of patients before and after the implementation of the MELD-based allocation system was assessed. Results More patients received LT (25%–65%) after the MELD allocation system was implemented. The increase in patients receiving deceased donor LT was dramatic (17%–51%, P=0.001) compared to patients receiving living donor LT (7%–14%, P=0.30). The overall survival was better for those who received LT (88% vs. 44% at 1 year, P<0.001), and after the MELD era (1-year survival rate 80% vs. 50%, P=0.005). Post-LT mortality was observed in six patients, with one case of mortality related to recidivism. Baseline MELD and steroid response were factors associated with transplant-free survival. Conclusions After implementation of the MELD-based allocation system, deceased donor LT dramatically increased in patients with severe AH. This translated into increased overall survival, but at a cost of mortality due to recidivism. Urgent evaluation is warranted to identify criteria to justify the use of precious liver grafts from deceased donors for severe AH patients in Korea.
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Affiliation(s)
- Tae Jin Kwon
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Wonseok Kang
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Geum-Youn Gwak
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yong-Han Paik
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Moon Seok Choi
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joon Hyeok Lee
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kwang Cheol Koh
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dong Hyun Sinn
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Woon Paik
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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