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Akabane M, Esquivel CO, Kim WR, Sasaki K. The Future Frontier of Liver Transplantation Exploring Young Donor Allocation Strategies for HCC Recipients. Transplant Direct 2024; 10:e1657. [PMID: 38881743 PMCID: PMC11177833 DOI: 10.1097/txd.0000000000001657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 06/18/2024] Open
Abstract
Background The role of donor age in liver transplantation (LT) outcomes for hepatocellular carcinoma (HCC) is controversial. Given the significant risk of HCC recurrence post-LT, optimizing donor/recipient matching is crucial. This study reassesses the impact of young donors on LT outcomes in patients with HCC. Methods A retrospective review of 11 704 LT cases from the United Network for Organ Sharing database (2012-2021) was conducted. The study focused on the effect of donor age on recurrence-free survival, using hazard associated with LT for HCC (HALT-HCC) and Metroticket 2.0 scores to evaluate post-LT survival in patients with HCC. Results Of 4706 cases with young donors, 11.0% had HCC recurrence or death within 2 y, and 18.3% within 5 y. These outcomes were comparable with those of non-young donors. A significant correlation between donor age and post-LT recurrence or mortality (P = 0.04) was observed, which became statistically insignificant after tumor-related adjustments (P = 0.32). The Kaplan-Meier curve showed that recipients with lower HALT-HCC scores (<9) and Metroticket 2.0 scores (<2.2) significantly benefited from young donors, unlike those exceeding these score thresholds. Cox regression analysis showed that donor age significantly influenced outcomes in recipients below certain score thresholds but was less impactful for higher scores. Conclusions Young donors are particularly beneficial for LT recipients with less aggressive HCC, as indicated by their HALT-HCC and Metroticket 2.0 scores. These findings suggest strategically allocating young donors to recipients with less aggressive tumor profiles, which could foster more efficient use of the scarce donor supply and potentially enhance post-LT outcomes.
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Affiliation(s)
- Miho Akabane
- Division of Abdominal Transplant, Department of Surgery, Stanford University Medical Center, Stanford, CA
| | - Carlos O Esquivel
- Division of Abdominal Transplant, Department of Surgery, Stanford University Medical Center, Stanford, CA
| | - W Ray Kim
- Division of Gastroenterology and Hepatology, Stanford University Medical Center, Stanford, CA
| | - Kazunari Sasaki
- Division of Abdominal Transplant, Department of Surgery, Stanford University Medical Center, Stanford, CA
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2
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Li X, Barbier L, Ferrandière M, Remerand F, Salamé E, Plantier L. Preoperative DLCO predicts severe early complications after liver transplantation. Respir Med Res 2024; 85:101089. [PMID: 38657299 DOI: 10.1016/j.resmer.2024.101089] [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: 12/15/2022] [Revised: 11/22/2023] [Accepted: 01/05/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Severe early complications are common after liver transplantation (LT) and are a key determinant of LT-related morbidity and mortality. The aim of this study was to assess whether lung function measured in the pre-operative period predicted complicated outcomes in the first month after LT. MATERIAL AND METHODS Patients with mild-to-moderate liver disease (Model for End stage Liver Disease-MELD score≤30) who underwent LT between October 2015 and May 2020 in a single centre were retrospectively included. The primary endpoint was the occurrence of severe early complications after LT defined by mechanical ventilation duration > 2 days or length of ICU stay > 7 days or reintubation or death < 1 month after LT. RESULTS One hundred and twenty patients were included (age 59 [53-64] years, 72 % men). Forty patients (33 %) had early complications after LT. Measured and%predicted hemoglobin-corrected lung transfer capacity for carbon monoxide (DLCOc) were significantly lower in patients with severe early complications after LT. DLCOc was the only variable that associated independently with severe early complications by multivariate analysis. DLCOc under 16.3 ml.min-1.mmHg-1 predicted respiratory complications with a sensitivity of 67.5 % and a specificity of 62.9 %. DLCOc%pred under 61.5 % had a sensitivity of 56.8 % and a specificity of 72 %. DLCOc independently associated with forced vital capacity (FVC), pulmonary emphysema, and the muscle mass index. CONCLUSION A decrease in DLCOc indicated an increased risk of severe early complications after LT.
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Affiliation(s)
- Xing Li
- Department of Pulmonology and Pulmonary Function Testing, University Hospital of Tours, France.
| | - Louise Barbier
- Department of Digestive Surgery and Liver Transplantation, University Hospital of Tours, France; INSERM U1082, Poitiers, France; FHU SUPPORT, Tours-Poitiers-Limoges, France; University of Tours, Tours, France
| | | | - Francis Remerand
- Surgical Intensive Care Unit, University Hospital of Tours, Tours, France
| | - Ephrem Salamé
- Department of Digestive Surgery and Liver Transplantation, University Hospital of Tours, France; INSERM U1082, Poitiers, France; FHU SUPPORT, Tours-Poitiers-Limoges, France; University of Tours, Tours, France
| | - Laurent Plantier
- Department of Pulmonology and Pulmonary Function Testing, University Hospital of Tours, France; University of Tours, Tours, France; CEPR, Inserm UMR1100, Tours, France
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3
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Freitas ACTD, Giacomitti IS, Almeida VMD, Coelho JCU. LIVER RETRANSPLANTATION: PROGNOSTIC SCORES AND RESULTS IN THE STATE OF PARANÁ. ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA : ABCD = BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY 2024; 37:e1802. [PMID: 38775559 PMCID: PMC11104738 DOI: 10.1590/0102-672020240009e1802] [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: 07/21/2023] [Accepted: 03/07/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Hepatic retransplantation is associated with higher morbidity and mortality when compared to primary transplantation. Given the scarcity of organs and the need for efficient allocation, evaluating parameters that can predict post-retransplant survival is crucial. AIMS This study aimed to analyze prognostic scores and outcomes of hepatic retransplantation. METHODS Data on primary transplants and retransplants carried out in the state of Paraná in 2019 and 2020 were analyzed. The two groups were compared based on 30-day survival and the main prognostic scores of the donor and recipient, namely Model for End-Stage Liver Disease (MELD), MELD-albumin (MELD-a), Donor MELD (D-MELD), Survival Outcomes Following Liver Transplantation (SOFT), Preallocation Score to Predict Survival Outcomes Following Liver Transplantation (P-SOFT), and Balance of Risk (BAR). RESULTS A total of 425 primary transplants and 30 retransplants were included in the study. The main etiology of hepatopathy in primary transplantation was ethylism (n=140; 31.0%), and the main reasons for retransplantation were primary graft dysfunction (n=10; 33.3%) and hepatic artery thrombosis (n=8; 26.2%). The 30-day survival rate was higher in primary transplants than in retransplants (80.5% vs. 36.7%, p=0.001). Prognostic scores were higher in retransplants than in primary transplants: MELD 30.6 vs. 20.7 (p=0.001); MELD-a 31.5 vs. 23.5 (p=0.001); D-MELD 1234.4 vs. 834.0 (p=0.034); SOFT 22.3 vs. 8.2 (p=0.001); P-SOFT 22.2 vs. 7.8 (p=0.001); and BAR 15.6 vs. 8.3 (p=0.001). No difference was found in terms of Donor Risk Index (DRI). CONCLUSIONS Retransplants exhibited lower survival rates at 30 days, as predicted by prognostic scores, but unrelated to the donor's condition.
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Affiliation(s)
| | - Israel Suckow Giacomitti
- Universidade Federal do Paraná, University Hospital, Digestive Surgery Unit - Curitiba (PR), Brazil
| | | | - Júlio Cezar Uili Coelho
- Universidade Federal do Paraná, University Hospital, Digestive Surgery Unit - Curitiba (PR), Brazil
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4
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Shimata K, Yoon YI, Hibi T, Morinaga J, Narayanan AK, Toshima T, Ito T, Akamatsu N, Kotera Y, Hong SK, Hasegawa Y, Umeda Y, Reddy MS, Ong ADL, Sivaprasadan S, Varghese J, Sugawara Y, Chen CL, Nakayama N, Mochida S, Tanaka A, Suh KS, Ikegami T, Lee KW, Lee SG. A novel scoring system to predict short-term mortality after living donor liver transplantation for acute liver failure. Am J Transplant 2024:S1600-6135(24)00288-0. [PMID: 38692411 DOI: 10.1016/j.ajt.2024.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 04/19/2024] [Accepted: 04/23/2024] [Indexed: 05/03/2024]
Abstract
Liver transplantation is often the only lifesaving option for acute liver failure (ALF); however, the predictors of short-term mortality (death within one year) after living donor liver transplantation (LDLT) for ALF have yet to be defined. We retrospectively collected patients ≥18 years old who underwent LDLT for ALF between 2010 and 2020 at 35 centers in Asia. Univariate and multivariate logistic regression analyses were conducted to identify the clinical variables related to short-term mortality and establish a novel scoring system. The Kaplan-Meier method was performed to explore the association between the score and overall survival. Of the 339 recipients, 46 (13.6%) died within 1 year after LDLT. Multivariate analyses revealed 4 independent risk factors for death: use of vasopressors or mechanical ventilation, the higher model for end-stage liver disease score, and a lower graft-to-recipient weight ratio. The internally validated c-statistic of the short-term mortality after transplant (SMT) score derived from these 4 variables was 0.80 (95% confidence interval: 0.74-0.87). The SMT score successfully stratified recipients into low-, intermediate-, and high-risk groups with 1-year overall survival rates of 96%, 80%, and 50%, respectively. In conclusion, our novel SMT score based on 4 predictors will guide ALF recipient and living donor selection.
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Affiliation(s)
- Keita Shimata
- Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Young-In Yoon
- Division of Hepatobiliary Surgery and Liver Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Taizo Hibi
- Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
| | - Jun Morinaga
- Department of Clinical Investigation, Kumamoto University Hospital, Kumamoto University, Kumamoto, Japan
| | - Anila Kutty Narayanan
- Department of Gastrointestinal Surgery and Solid Organ Transplantation, Amrita Institute of Medical Sciences and Research Centre, Kochi, India
| | - Takeo Toshima
- Department of Surgery and Science, Kyusyu University Hospital, Fukuoka, Japan
| | - Takashi Ito
- Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobuhisa Akamatsu
- Hepato-Biliary-Pancreatic Surgery Division and Artificial Organ and Transplantation Division, Department of Surgery, The University of Tokyo Hospital, Tokyo, Japan
| | - Yoshihito Kotera
- Department of Surgery, Institute of Gastroenterology, Tokyo Women's Medical University Hospital, Tokyo, Japan
| | - Suk Kyun Hong
- Department of Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Yasushi Hasegawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yuzo Umeda
- Department of Gastroenterological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
| | - Mettu Srinivas Reddy
- Institute of Liver Disease & Transplantation, Gleneagles Global Hospital, Chennai, Tamil Nadu, India
| | - Aldwin De Leon Ong
- Liver Transplant Program and Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan, China
| | - Saraswathy Sivaprasadan
- Department of Gastrointestinal Surgery and Solid Organ Transplantation, Amrita Institute of Medical Sciences and Research Centre, Kochi, India
| | - Joy Varghese
- Institute of Liver Disease & Transplantation, Gleneagles Global Hospital, Chennai, Tamil Nadu, India
| | - Yasuhiko Sugawara
- Department of Pediatric Surgery and Transplantation, Kumamoto University Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Chao-Long Chen
- Liver Transplant Program and Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan, China
| | - Nobuaki Nakayama
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Satoshi Mochida
- Department of Gastroenterology and Hepatology, Faculty of Medicine, Saitama Medical University, Saitama, Japan
| | - Atsushi Tanaka
- Department of Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Kyung-Suk Suh
- Department of Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Toru Ikegami
- Division of Hepatobiliary and Pancreas Surgery, Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
| | - Kwang-Woong Lee
- Department of Surgery, Seoul National University Hospital, Seoul, South Korea
| | - Sung-Gyu Lee
- Division of Hepatobiliary Surgery and Liver Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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5
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Xiang Z, Li J, Zeng H, Xiang X, Gao F, Wang K, Wei X, Zheng S, Xu X. Current Understanding of Marginal Grafts in Liver Transplantation. Aging Dis 2024:AD.2024.0214. [PMID: 38607739 DOI: 10.14336/ad.2024.0214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 02/14/2024] [Indexed: 04/14/2024] Open
Abstract
End-stage liver disease (ESLD), stemming from a spectrum of chronic liver pathologies including chronic liver failure, acute cirrhosis decompensation and hepatocellular carcinoma, imposes a significant global healthcare burden. Liver transplantation (LT) remains the only treatment for ESLD. However, the escalating mortality on transplant waitlists has prompted the utilization of marginal liver grafts in LT procedures. These grafts primarily encompass elderly livers, steatotic livers, livers from donation after circulatory death, split livers and those infected with the hepatitis virus. While the expansion of the donor pool offers promise, it also introduces concomitant risks. These encompass graft failure, biliary and cardiovascular complications, the recurrence of liver disease and reduced patient and graft survival. Consequently, various established strategies, ranging from improved donor-recipient matching to surgical interventions, have emerged to mitigate these risks. This article undertakes a comprehensive assessment of the current landscape, evaluating the viability of diverse marginal liver grafts. Additionally, it synthesizes approaches aimed at enhancing the quality of such marginal liver grafts. The overarching objective is to augment the donor pool and ameliorate the risk factors associated with the shortage of liver grafts.
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Affiliation(s)
- Ze Xiang
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiarui Li
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Huixuan Zeng
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xiaonan Xiang
- Zhejiang University School of Medicine, Hangzhou 310058, China
- Department of Surgery, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Cambridge, Cambridgeshire, UK
| | - Fengqiang Gao
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Kai Wang
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
- Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou 310006, China
| | - Shusen Zheng
- Zhejiang University School of Medicine, Hangzhou 310058, China
- Shulan (Hangzhou) Hospital, Zhejiang Shuren University School of Medicine, Hangzhou 310022, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou 310003, China
| | - Xiao Xu
- Zhejiang University School of Medicine, Hangzhou 310058, China
- NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou 310003, China
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6
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Lee DU, Harmacinski A, Kolachana S, Bahadur A, Lee K, Lee KJ, Pu A, Chou H, Fan GH, Malik R. The role of donor sex on the post-liver transplant outcomes in patients with primary sclerosing cholangitis. Eur J Gastroenterol Hepatol 2024; 36:452-468. [PMID: 38407887 PMCID: PMC10922567 DOI: 10.1097/meg.0000000000002712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
BACKGROUND AND AIMS Primary sclerosing cholangitis (PSC) can result in hepatic decompensation and require liver transplantation (LT). This study investigates the effect of the sex of the donor and recipient as a prognostic risk factor for adverse outcomes after LT in patients with PSC. METHODS UNOS registry was used to select LT patients with PSC from 1987 to 2019. The study cohort was stratified based on the sex of the recipient and further subdivided based on the sex of the donor. The primary endpoints of this study were all-cause mortality and graft failure, which were evaluated using a sequential Cox regression analysis. RESULTS This study included 2829 patients; 906 female recipients were transplanted from 441 male donors and 465 female donors. 1923 male recipients were transplanted from 1194 male donors and 729 female donors. Within the mismatch analyses, the male-to-male recipients also had a significantly reduced hazard ratio of graft failure compared to female-to-male transplants [aHR 0.51, 95% confidence interval (CI) 0.33-0.79, P = 0.003]. No difference in graft failure was observed in the mismatched female recipient subgroup. The mismatched male recipient group also showed a decreased hazard ratio of mortality from graft rejection and respiratory causes. No differences in specific mortality causes were identified in the mismatched female recipient group. CONCLUSION This study demonstrated an increase in the risk of graft failure and mortality secondary to graft failure in male recipients of female donor livers. No differences in mortality or graft failure were identified in female recipients of male livers.
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Affiliation(s)
- David Uihwan Lee
- Division of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD 21201, USA
| | - Ashton Harmacinski
- Division of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD 21201, USA
| | - Sindhura Kolachana
- Division of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD 21201, USA
| | - Aneesh Bahadur
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - KeeSeok Lee
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Ki Jung Lee
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Alex Pu
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Harrison Chou
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Gregory Hongyuan Fan
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Raza Malik
- Liver Center, Division of Gastroenterology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
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7
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Kang J. Opportunities and challenges of machine learning in transplant-related studies. Am J Transplant 2024; 24:322-324. [PMID: 38061462 PMCID: PMC11157466 DOI: 10.1016/j.ajt.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/06/2023] [Accepted: 11/24/2023] [Indexed: 12/25/2023]
Affiliation(s)
- Jian Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA.
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8
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Drefs M, Schoenberg MB, Börner N, Koliogiannis D, Koch DT, Schirren MJ, Andrassy J, Bazhin AV, Werner J, Guba MO. Changes of long-term survival of resection and liver transplantation in hepatocellular carcinoma throughout the years: A meta-analysis. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024; 50:107952. [PMID: 38237275 DOI: 10.1016/j.ejso.2024.107952] [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: 08/22/2023] [Revised: 12/21/2023] [Accepted: 01/03/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Hepatocellular Carcinoma (HCC) still is one of the most detrimental malignant diseases in the world. As two curative surgical therapies exist, the discussion whether to opt for liver resection (LR) or transplantation (LT) is ongoing, especially as novel techniques to improve outcome have emerged for both. The aim of the study was to investigate how the utilization and outcome of the respective modalities changed through time. METHODS We searched Medline and PubMed for relevant publications comparing LT and LR in HCC patients during the time period from 1990 to 2022, prior to March 31, 2023. A total of 63 studies involving 19,804 patients - of whom 8178 patients received a liver graft and 11,626 underwent partial hepatectomy - were included in this meta-analysis. RESULTS LT is associated with significantly better 5-year overall survival (OS) (64.83%) and recurrence-free survival (RFS) (70.20%) than LR (OS: 50.83%, OR: 1.79, p < 0.001; RFS: 34.46%, OR: 5.32, p < 0.001). However, these differences are not as evident in short-term intervals. Older cohorts showed comparable disparities between the outcome of the respective modalities, as did newer cohorts after 2005. This might be due to the similar improvement in survival rates that were observed for both, LT (15-23%) and LR (12-20%) during the last 30 years. CONCLUSION LT still outperforms LR in the therapy of HCC in terms of long-term survival rates. Yet, LR outcome has remarkably improved which is of major importance in reference to the well-known limitations that occur in LT.
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Affiliation(s)
- Moritz Drefs
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany.
| | - Markus B Schoenberg
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany; Faculty of Medicine, LMU Munich, Germany; Medical Centers Gollierplatz and Nymphenburg, Munich, Germany
| | - Nikolaus Börner
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany
| | - Dionysios Koliogiannis
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany
| | - Dominik T Koch
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany
| | - Malte J Schirren
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany
| | - Joachim Andrassy
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany
| | - Alexandr V Bazhin
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Jens Werner
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany; Faculty of Medicine, LMU Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - Markus O Guba
- Department of General, Visceral and Transplantation Surgery, LMU University Hospital, LMU Munich, Germany; Transplantation Center Munich, LMU University Hospital, LMU Munich, Germany
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9
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Boteon AP, Lima MR, Della Guardia B, Carvalho MF, Schlegel A, Boteon YL. Establishing a HOPE Program in a Real-life Setting: A Brazilian Case Series. Transplant Direct 2023; 9:e1555. [PMID: 37954681 PMCID: PMC10635603 DOI: 10.1097/txd.0000000000001555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 09/22/2023] [Indexed: 11/14/2023] Open
Abstract
Background Although hypothermic oxygenated perfusion (HOPE) improves posttransplant outcomes, setting up machine perfusion programs may be subjected to specific obstacles under different conditions. This study aims to describe the establishment of HOPE in a real-life setting in Brazil. Methods Extended criteria donors in donation after brain death organs preserved by HOPE were accepted for higher-risk candidates needing expedited transplantation, perceived as those who would benefit most from the technique because of its limited availability. Extended criteria donors was defined by the Eurotransplant criteria. High-risk transplant candidates were characterized by suboptimal surgical conditions related to the recipient or the procedure. Results Six HOPE-preserved grafts were transplanted from February 2022 to August 2022. The mean donor risk index was 1.7 (SD 0.5). One organ was severely steatotic, and 3 had an anticipated cold ischemia time above 12 h. Recipients' mean model for end-stage liver disease was 28.67 (SD 6.79), with 1 case of retransplant, 1 of refractory ascites, and 1 of acute-on-chronic liver failure. The mean cold ischemia time was 5 h 42 min (SD 82 min), HOPE 6 h 3 min (SD 150 min), and total preservation time 11 h 46 min (SD 184 min). No case had early allograft dysfunction. The mean length of hospital stay was 10 d with 100% graft and patient survival and no ischemic cholangiopathies at a median follow-up of 15 mo (min 12, max 18). Costs and country-specific legal regulations for device utilization were the major hurdles to implementing the program. Conclusion We presented a pathway to introduce and rationalize the use of HOPE in a scenario of challenging donor-recipient matching with good results. These findings may aid in implementing machine perfusion programs, especially in settings with limited resources or complex transplant logistics.
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Affiliation(s)
| | - Marisa R.D. Lima
- Transplant Center, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Mauricio F. Carvalho
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Andrea Schlegel
- Transplantation Center, Digestive Disease and Surgery Institute and Department of Immunology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Yuri L. Boteon
- Transplant Center, Hospital Israelita Albert Einstein, São Paulo, Brazil
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10
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Hernaez R, Karvellas CJ, Liu Y, Sacleux SC, Khemichian S, Stein LL, Shetty K, Lindenmeyer CC, Boike JR, Simonetto DA, Rahimi RS, Jalal PK, Izzy M, Kriss MS, Im GY, Lin MV, Jou JH, Fortune BE, Cholankeril G, Kuo A, Mahmud N, Kanwal F, Saliba F, Sundaram V, Artzner T, Jalan R. The novel SALT-M score predicts 1-year post-transplant mortality in patients with severe acute-on-chronic liver failure. J Hepatol 2023; 79:717-727. [PMID: 37315809 DOI: 10.1016/j.jhep.2023.05.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/17/2023] [Accepted: 05/12/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND & AIMS Twenty-eight-day mortality ranges from 30-90% in patients with acute-on-chronic liver failure grades 2/3 (severe ACLF). Though liver transplantation (LT) has demonstrated a survival benefit, the scarcity of donor organs and uncertainty regarding post-LT mortality among patients with severe ACLF may cause hesitancy. We developed and externally validated a model to predict 1-year post-LT mortality in severe ACLF, called the Sundaram ACLF-LT-Mortality (SALT-M) score, and estimated the median length of stay (LoS) after LT (ACLF-LT-LoS). METHODS In 15 LT centers in the US, we retrospectively identified a cohort of patients with severe ACLF transplanted between 2014-2019, followed up to Jan'2022. Candidate predictors included demographics, clinical and laboratory values, and organ failures. We selected predictors in the final model using clinical criteria and externally validated them in two French cohorts. We provided measures of overall performance, discrimination, and calibration. We used multivariable median regression to estimate LoS after adjusting for clinically relevant factors. RESULTS We included 735 patients, of whom 521 (70.8%) had severe ACLF (120 ACLF-3, external cohort). The median age was 55 years, and 104 with severe ACLF (19.9%) died within 1-year post-LT. Our final model included age >50 years, use of 1/≥2 inotropes, presence of respiratory failure, diabetes mellitus, and BMI (continuous). The c-statistic was 0.72 (derivation) and 0.80 (validation), indicating adequate discrimination and calibration based on the observed/expected probability plots. Age, respiratory failure, BMI, and presence of infection independently predicted median LoS. CONCLUSIONS The SALT-M score predicts mortality within 1-year after LT in patients with ACLF. The ACLF-LT-LoS score predicted median post-LT stay. Future studies using these scores could assist in determining transplant benefits. IMPACT AND IMPLICATIONS Liver transplantation (LT) may be the only life-saving procedure available to patients with acute-on-chronic liver failure (ACLF), but clinically instability can augment the perceived risk of post-transplant mortality at 1 year. We developed a parsimonious score with clinically and readily available parameters to objectively assess 1-year post-LT survival and predict median length of stay after LT. We developed and externally validated a clinical model called the Sundaram ACLF-LT-Mortality score in 521 US patients with ACLF with 2 or ≥3 organ failure(s) and 120 French patients with ACLF grade 3. The c-statistic was 0.72 in the development cohort and 0.80 in the validation cohort. We also provided an estimation of the median length of stay after LT in these patients. Our models can be used in discussions on the risks/benefits of LT in patients listed with severe ACLF. Nevertheless, the score is far from perfect and other factors, such as patient's preference and center-specific factors, need to be considered when using these tools.
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Affiliation(s)
- Ruben Hernaez
- Section of Gastroenterology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA; VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
| | - Constantine J Karvellas
- Department of Critical Care Medicine and Division of Gastroenterology (Liver Unit), University of Alberta, Canada
| | - Yan Liu
- VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Sophie-Caroline Sacleux
- Liver Intensive Care Unit, AP-HP Hôpital Paul-Brousse, Centre Hépato-Biliaire, Villejuif, France; Departement Hospitalo-Universitaire, Hepatinov, Villejuif, France
| | - Saro Khemichian
- Division of Gastrointestinal & Liver Diseases, Keck Hospital at University of Southern California, Los Angeles, CA, USA
| | - Lance L Stein
- Piedmont Transplant Institute, Piedmont Atlanta Hospital, Atlanta, GA, USA
| | - Kirti Shetty
- Division of Gastroenterology & Hepatology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Christina C Lindenmeyer
- Department of Gastroenterology, Hepatology and Nutrition, Cleveland Clinic, Cleveland, OH, USA
| | - Justin R Boike
- Division of Gastroenterology and Hepatology, Department of Medicine, Northwestern University, Chicago, IL, USA
| | - Douglas A Simonetto
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Robert S Rahimi
- Baylor University Medical Center, Division of Hepatology. Baylor Scott and White Hospital, Dallas, TX, USA
| | - Prasun K Jalal
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Manhal Izzy
- Division of Gastroenterology, Hepatology and Nutrition, Vanderbilt University, Nashville, TN, USA
| | - Michael S Kriss
- Department of Medicine, University of Colorado, Aurora, CO, USA
| | - Gene Y Im
- Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ming V Lin
- Division of Transplant and Hepatobiliary Diseases, Department of Surgery, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Janice H Jou
- Medicine, Division of Gastroenterology, Oregon Health and Science University, Portland, OR, USA
| | - Brett E Fortune
- Division of Hepatology, Department of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - George Cholankeril
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Alexander Kuo
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Nadim Mahmud
- Division of Gastroenterology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Fasiha Kanwal
- Section of Gastroenterology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA; VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA; Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Faouzi Saliba
- Liver Intensive Care Unit, AP-HP Hôpital Paul-Brousse, Centre Hépato-Biliaire, Villejuif, France
| | - Vinay Sundaram
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Thierry Artzner
- Hepato-Pancreato-Biliary Surgery and Liver Transplantation, Pôle des Pathologies Digestives, Hépatiques et de la Transplantation, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Rajiv Jalan
- Institute for Liver and Digestive Health, University College Hospital; Royal Free Campus, London, United Kingdom; Royal Free Hospital, London, United Kingdom; European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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11
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Snyder A, Kojima L, Imaoka Y, Akabane M, Kwong A, Melcher ML, Sasaki K. Evaluating the outcomes of donor-recipient age differences in young adults undergoing liver transplantation. Liver Transpl 2023; 29:793-803. [PMID: 36847140 DOI: 10.1097/lvt.0000000000000109] [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] [Received: 10/29/2022] [Accepted: 01/27/2023] [Indexed: 03/01/2023]
Abstract
The current liver allocation system may be disadvantaging younger adult recipients as it does not incorporate the donor-recipient age difference. Given the longer life expectancy of younger recipients, the influences of older donor grafts on their long-term prognosis should be elucidated. This study sought to reveal the long-term prognostic influence of the donor-recipient age difference in young adult recipients. Adult patients who received initial liver transplants from deceased donors between 2002 and 2021 were identified from the UNOS database. Young recipients (patients 45 years old or below) were categorized into 4 groups: donor age younger than the recipient, 0-9 years older, 10-19 years older, or 20 years older or above. Older recipients were defined as patients 65 years old or above. To examine the influence of the age difference in long-term survivors, conditional graft survival analysis was conducted on both younger and older recipients. Among 91,952 transplant recipients, 15,170 patients were 45 years old or below (16.5%); these were categorized into 6,114 (40.3%), 3,315 (21.9%), 2,970 (19.6%), and 2,771 (18.3%) for groups 1-4, respectively. Group 1 demonstrated the highest probability of survival, followed by groups 2, 3, and 4 for the actual graft survival and conditional graft survival analyses. In younger recipients who survived at least 5 years post-transplant, inferior long-term survival was observed when there was an age difference of 10 years or above (86.9% vs. 80.6%, log-rank p <0.01), whereas there was no difference in older recipients (72.6% vs. 74.2%, log-rank p =0.89). In younger patients who are not in emergent need of a transplant, preferential allocation of younger aged donor offers would optimize organ utility by increasing postoperative graft survival time.
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Affiliation(s)
- Abigail Snyder
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
| | - Lisa Kojima
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
| | - Yuki Imaoka
- Division of Abdominal Transplantation, Stanford University, Palo Alto, California, USA
| | - Miho Akabane
- Division of Abdominal Transplantation, Stanford University, Palo Alto, California, USA
| | - Allison Kwong
- Division of Gastroenterology and Hepatology, Stanford University, Palo Alto, California, USA
| | - Marc L Melcher
- Division of Abdominal Transplantation, Stanford University, Palo Alto, California, USA
| | - Kazunari Sasaki
- Division of Abdominal Transplantation, Stanford University, Palo Alto, California, USA
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12
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Hann A, Neuberger J. The evolution of the liver transplant candidate. FRONTIERS IN TRANSPLANTATION 2023; 2:1178452. [PMID: 38993916 PMCID: PMC11235376 DOI: 10.3389/frtra.2023.1178452] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/02/2023] [Indexed: 07/13/2024]
Abstract
The first successful human liver transplant (LT) was done over 60 years ago; since the early pioneering days, this procedure has become a routine treatment with excellent outcomes for the great majority of recipients. Over the last six decades, indications have evolved. Use of LT for hepatic malignancy is becoming less common as factors that define a successful outcome are being increasingly defined, and alternative therapeutic options become available. Both Hepatitis B and C virus associated liver disease are becoming less common indications as medical treatments become more effective in preventing end-stage disease. Currently, the most common indications are alcohol-related liver disease and metabolic associated liver disease. The developing (and controversial) indications include acute on chronic liver failure, alcoholic hepatitis and some rarer malignancies such as non-resectable colorectal cancer liver metastases, neuroendocrine tumours and cholangiocarcinoma. Candidates are becoming older and with greater comorbidities, A relative shortage of donor organs remains the greatest cause for reducing access to LT; therefore, various countries have developed transparent approaches to allocation of this life saving and life enhancing resource. Reliance on prognostic models has gone some way to improve transparency and increase equity of access but these approaches have their limitations.
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Affiliation(s)
- Angus Hann
- The Liver Unit, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
- Centre for Liver and Gastrointestinal Research, Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - James Neuberger
- The Liver Unit, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
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13
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Bambha K, Kim NJ, Sturdevant M, Perkins JD, Kling C, Bakthavatsalam R, Healey P, Dick A, Reyes JD, Biggins SW. Maximizing utility of nondirected living liver donor grafts using machine learning. Front Immunol 2023; 14:1194338. [PMID: 37457719 PMCID: PMC10344453 DOI: 10.3389/fimmu.2023.1194338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023] Open
Abstract
Objective There is an unmet need for optimizing hepatic allograft allocation from nondirected living liver donors (ND-LLD). Materials and method Using OPTN living donor liver transplant (LDLT) data (1/1/2000-12/31/2019), we identified 6328 LDLTs (4621 right, 644 left, 1063 left-lateral grafts). Random forest survival models were constructed to predict 10-year graft survival for each of the 3 graft types. Results Donor-to-recipient body surface area ratio was an important predictor in all 3 models. Other predictors in all 3 models were: malignant diagnosis, medical location at LDLT (inpatient/ICU), and moderate ascites. Biliary atresia was important in left and left-lateral graft models. Re-transplant was important in right graft models. C-index for 10-year graft survival predictions for the 3 models were: 0.70 (left-lateral); 0.63 (left); 0.61 (right). Similar C-indices were found for 1-, 3-, and 5-year graft survivals. Comparison of model predictions to actual 10-year graft survivals demonstrated that the predicted upper quartile survival group in each model had significantly better actual 10-year graft survival compared to the lower quartiles (p<0.005). Conclusion When applied in clinical context, our models assist with the identification and stratification of potential recipients for hepatic grafts from ND-LLD based on predicted graft survivals, while accounting for complex donor-recipient interactions. These analyses highlight the unmet need for granular data collection and machine learning modeling to identify potential recipients who have the best predicted transplant outcomes with ND-LLD grafts.
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Affiliation(s)
- Kiran Bambha
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Washington, Seattle, WA, United States
- Center for Liver Investigation Fostering discovery (C-LIFE), University of Washington, Seattle, WA, United States
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
| | - Nicole J. Kim
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Washington, Seattle, WA, United States
- Center for Liver Investigation Fostering discovery (C-LIFE), University of Washington, Seattle, WA, United States
| | - Mark Sturdevant
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, WA, United States
| | - James D. Perkins
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, WA, United States
| | - Catherine Kling
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, WA, United States
| | - Ramasamy Bakthavatsalam
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, WA, United States
| | - Patrick Healey
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Pediatric Transplant Surgery Division, Department of Surgery, Seattle Children’s Hospital, Seattle, WA, United States
| | - Andre Dick
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Pediatric Transplant Surgery Division, Department of Surgery, Seattle Children’s Hospital, Seattle, WA, United States
| | - Jorge D. Reyes
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
- Division of Transplant Surgery, Department of Surgery, University of Washington, Seattle, WA, United States
- Pediatric Transplant Surgery Division, Department of Surgery, Seattle Children’s Hospital, Seattle, WA, United States
| | - Scott W. Biggins
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Washington, Seattle, WA, United States
- Center for Liver Investigation Fostering discovery (C-LIFE), University of Washington, Seattle, WA, United States
- Clinical and Bio-Analytics Transplant Laboratory (C-BATL), University of Washington, Seattle, WA, United States
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14
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Lee J, Son S, Kim H, Ju M. Delta Neutrophil Index as a New Early Mortality Predictor after Liver Transplantation. J Clin Med 2023; 12:jcm12072501. [PMID: 37048585 PMCID: PMC10095468 DOI: 10.3390/jcm12072501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/18/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Background: Patients with liver disease display numerous defects of the immune system, so infection is a frequent complication of both acute and chronic liver disease. These infections are independently associated with poor outcomes after liver transplantation. Our objective was to evaluate the delta neutrophil index (DNI), a new inflammation marker, as a predictor of survival after liver transplantation (LT). Methods: This observational study retrospectively evaluated the records of 712 patients who underwent LT from January 2010 to February 2018. DNI was evaluated at pre-transplantation and 1, 7, 14, and 30 days after operation. Statistical analysis was performed using the T-test or chi-square test, and logistic regression analysis. Results: The mean MELD score was 16.7 ± 9.4 (0–48). There were 125 mortality cases (17.8%) after liver transplantation. Mean DNI was 1.61 at pre-transplantation, 3.94 one day after operation, 2.67 seven days after operation, 1.61 fourteen days after operation, and 1.64 thirty days after operation, respectively. In multivariate analysis, DNI seven and fourteen days after operation was revealed as an independent prognostic factor for mortality after liver transplantation (p = 0.040 and p < 0.0001). Conclusions: The DNI is a simple and reliable predictor of patient mortality after liver transplantation.
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Affiliation(s)
| | | | | | - Manki Ju
- Correspondence: ; Tel.: +82-2-2019-3893; Fax: +82-2-2019-4827
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15
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Patrono D, Colli F, Colangelo M, De Stefano N, Apostu AL, Mazza E, Catalano S, Rizza G, Mirabella S, Romagnoli R. How Can Machine Perfusion Change the Paradigm of Liver Transplantation for Patients with Perihilar Cholangiocarcinoma? J Clin Med 2023; 12:jcm12052026. [PMID: 36902813 PMCID: PMC10004136 DOI: 10.3390/jcm12052026] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 02/24/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Perihilar cholangiocarcinomas (pCCA) are rare yet aggressive tumors originating from the bile ducts. While surgery remains the mainstay of treatment, only a minority of patients are amenable to curative resection, and the prognosis of unresectable patients is dismal. The introduction of liver transplantation (LT) after neoadjuvant chemoradiation for unresectable pCCA in 1993 represented a major breakthrough, and it has been associated with 5-year survival rates consistently >50%. Despite these encouraging results, pCCA has remained a niche indication for LT, which is most likely due to the need for stringent candidate selection and the challenges in preoperative and surgical management. Machine perfusion (MP) has recently been reintroduced as an alternative to static cold storage to improve liver preservation from extended criteria donors. Aside from being associated with superior graft preservation, MP technology allows for the safe extension of preservation time and the testing of liver viability prior to implantation, which are characteristics that may be especially useful in the setting of LT for pCCA. This review summarizes current surgical strategies for pCCA treatment, with a focus on unmet needs that have contributed to the limited spread of LT for pCCA and how MP could be used in this setting, with a particular emphasis on the possibility of expanding the donor pool and improving transplant logistics.
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16
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Medina-Morales JE, Panayotova GG, Nguyen DT, Graviss EA, Prakash GS, Marsh JA, Simonishvili S, Shah Y, Ayorinde T, Qin Y, Jin L, Zoumpou T, Minze LJ, Paterno F, Amin A, Riddle GL, Ghobrial RM, Guarrera JV, Lunsford KE. Pre-transplant Biomarkers of Immune Dysfunction Improve Risk Assessment of Post-transplant Mortality Compared to Conventional Clinical Risk Scores. RESEARCH SQUARE 2023:rs.3.rs-2548184. [PMID: 36798404 PMCID: PMC9934742 DOI: 10.21203/rs.3.rs-2548184/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Introduction There is a critical need to accurately stratify liver transplant (LT) candidates' risk of post-LT mortality prior to LT to optimize patient selection and avoid futility. Here, we compare previously described pre-LT clinical risk scores with the recently developed Liver Immune Frailty Index (LIFI) for prediction of post-LT mortality. LIFI measures immune dysregulation based on pre-LT plasma HCV IgG, MMP3 and Fractalkine. LIFI accurately predicts post-LT mortality, with LIFI-low corresponding to 1.4% 1-year post-LT mortality compared with 58.3% for LIFI-high (C-statistic=0.85). Methods LIFI was compared to MELD, MELD-Na, MELD 3.0, D-MELD, MELD-GRAIL, MELD-GRAIL-Na, UCLA-FRS, BAR, SOFT, P-SOFT, and LDRI scores on 289 LT recipients based on waitlist data at the time of LT. Survival, hazard of early post-LT death, and discrimination power (C-statistic) were assessed. Results LIFI showed superior discrimination (highest C-statistic) for post-LT mortality when compared to all other risk scores, irrespective of biologic MELD. On univariate analysis, the LIFI showed a significant correlation with mortality 6-months, as well as 1-, 3-, and 5-years. No other pre-LT scoring system significantly correlated with post-LT mortality. On bivariate adjusted analysis, African American race (p<0.05) and pre-LT cardiovascular disease (p=0.053) were associated with early- and long-term post-LT mortality. Patients who died within 1-yr following LT had a significantly higher incidence of infections, including 30-day and 90-day incidence of any infection, pneumonia, abdominal infections, and UTI (p<0.05). Conclusions LIFI, which measures pre-LT biomarkers of immune dysfunction, more accurately predicts risk of post-LT futility compared with current clinical predictive models. Pre-LT assessment of immune dysregulation may be critical in predicting mortality after LT and may optimize selection of candidates with lowest risk of futile outcomes.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Yong Qin
- Rutgers New Jersey Medical School
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17
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Horwitz JK, Kaldas FM. CAQ Corner: Technical considerations in liver transplantation (101 for hepatologists). Liver Transpl 2023; 29:217-225. [PMID: 36055761 DOI: 10.1002/lt.26556] [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: 03/03/2022] [Revised: 05/30/2022] [Accepted: 06/21/2022] [Indexed: 01/25/2023]
Affiliation(s)
- Julian K Horwitz
- Division of Liver and Pancreas Transplantation, Department of Surgery , David Geffen School of Medicine at the University of California Los Angeles , Los Angeles , California , USA
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18
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Moosburner S, Wiering L, Roschke NN, Winter A, Demir M, Gaßner JM, Zimmer M, Ritschl P, Globke B, Lurje G, Tacke F, Schöning W, Pratschke J, Öllinger R, Sauer IM, Raschzok N. Validation of risk scores for allograft failure after liver transplantation in Germany: a retrospective cohort analysis. Hepatol Commun 2023; 7:e0012. [PMID: 36633496 PMCID: PMC9833444 DOI: 10.1097/hc9.0000000000000012] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/14/2022] [Indexed: 01/13/2023] Open
Abstract
A growing number of clinical risk scores have been proposed to predict allograft failure after liver transplantation. However, validation of currently available scores in the Eurotransplant region is still lacking. We aimed to analyze all clinically relevant donor and recipient risk scores on a large German liver transplantation data set and performed a retrospective cohort analysis of liver transplantations performed at the Charité-Universitätsmedizin Berlin from January 2007 until December 2021 with organs from donation after brain death. We analyzed 9 previously published scores in 906 liver transplantations [Eurotransplant donor risk index (ET-DRI/DRI), donor age and model for end-stage liver disease (D-MELD), balance of risk (BAR), early allograft dysfunction (EAD), model for early allograft function (MEAF), liver graft assessment following transplantation (L-GrAFT7), early allograft failure simplified estimation (EASE), and a score by Rhu and colleagues). The EASE score had the best predictive value for 3-month, 6-month, and 12-month graft survival with a c-statistic of 0.8, 0.77, and 0.78, respectively. In subgroup analyses, the EASE score was suited best for male recipients with a high-MELD (>25) and an EAD organ. Scores only based on pretransplant data performed worse compared to scores including postoperative data (eg, ET-DRI vs. EAD, p<0.001 at 3-month graft survival). Out of these, the BAR score performed best with a c-statistic of 0.6. This a comprehensive comparison of the clinical utility of risk scores after liver transplantation. The EASE score sufficiently predicted 12-month graft and patient survival. Despite a relatively complex calculation, the EASE score provides significant prognostic value for patients and health care professionals in the Eurotransplant region.
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Affiliation(s)
- Simon Moosburner
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
- BIH Charité Clinician Scientist Program, Berlin Institute of Health (BIH)
| | - Leke Wiering
- Department of Hepatology and Gastroenterology, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Nathalie N. Roschke
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Axel Winter
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Münevver Demir
- Department of Hepatology and Gastroenterology, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Joseph M.G.V. Gaßner
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
- BIH Charité Clinician Scientist Program, Berlin Institute of Health (BIH)
| | - Maximilian Zimmer
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Paul Ritschl
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
- BIH Charité Clinician Scientist Program, Berlin Institute of Health (BIH)
| | - Brigitta Globke
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
- BIH Charité Clinician Scientist Program, Berlin Institute of Health (BIH)
| | - Georg Lurje
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Wenzel Schöning
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Johann Pratschke
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Robert Öllinger
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Igor M. Sauer
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
| | - Nathanael Raschzok
- Department of Surgery, Experimental Surgery, Campus Charité Mitte|Campus Virchow-Klinikum, Charité—Universitätsmedizin Berlin, Universität zu Berlin and Berlin Institute of Health
- BIH Charité Clinician Scientist Program, Berlin Institute of Health (BIH)
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19
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Villeret F, Dharancy S, Erard D, Abergel A, Barbier L, Besch C, Boillot O, Boudjema K, Coilly A, Conti F, Corpechot C, Duvoux C, Faitot F, Faure S, Francoz C, Giostra E, Gugenheim J, Hardwigsen J, Hilleret M, Hiriart J, Houssel‐Debry P, Kamar N, Lassailly G, Latournerie M, Pageaux G, Samuel D, Vanlemmens C, Saliba F, Dumortier J. Liver transplantation for NAFLD cirrhosis: Age and recent coronary angioplasty are major determinants of survival. Liver Int 2022; 42:2428-2441. [PMID: 35924452 PMCID: PMC9804523 DOI: 10.1111/liv.15385] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/21/2022] [Accepted: 08/02/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND AIMS Liver transplantation (LT) is the treatment of end-stage non-alcoholic liver disease (NAFLD), that is decompensated cirrhosis and/or complicated by hepatocellular carcinoma (HCC). Few data on long-term outcome are available. The aim of this study was to evaluate overall patient and graft survivals and associated predictive factors. METHOD This retrospective multicentre study included adult transplant patients for NAFLD cirrhosis between 2000 and 2019 in participating French-speaking centres. RESULTS A total of 361 patients (69.8% of male) were included in 20 centres. The median age at LT was 62.3 years [57.4-65.9] and the median MELD score was 13.9 [9.1-21.3]; 51.8% of patients had HCC on liver explant. Between 2004 and 2018, the number of LT for NAFLD cirrhosis increased by 720%. A quarter of the patients had cardiovascular history before LT. Median follow-up after LT was 39.1 months [15.8-72.3]. Patient survival at 1, 5 and 10 years after LT was 89.3%, 79.8% and 68.1% respectively. The main causes of death were sepsis (37.5%), malignancies (29.2%) and cardiovascular events (22.2%). In multivariate analysis, three risk factors for overall mortality after LT were recipient pre-LT BMI < 32 kg/m2 at LT time (OR: 2.272; p = .012), pre-LT angioplasty during CV check-up (OR: 2.916; p = .016), a combined donor and recipient age over 135 years (OR: 2.020; 95%CI: p = .035). CONCLUSION Survival after LT for NAFLD cirrhosis is good at 5 years. Donor and recipient age, and cardiovascular history, are major prognostic factors to consider.
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Affiliation(s)
- François Villeret
- Service d'hépatologie et de transplantation hépatiqueHôpital de la Croix Rousse, Hospices Civils de LyonLyonFrance,Université Claude Bernard Lyon 1LyonFrance
| | - Sébastien Dharancy
- Service des Maladies de l'Appareil DigestifHôpital Claude Huriez, CHRU LilleLilleFrance
| | - Domitille Erard
- Service d'hépatologie et de transplantation hépatiqueHôpital de la Croix Rousse, Hospices Civils de LyonLyonFrance,Université Claude Bernard Lyon 1LyonFrance
| | - Armand Abergel
- Département de Médecine digestiveCHU EstaingClermont‐FerrandFrance
| | - Louise Barbier
- Service de chirurgie digestive, oncologique et Transplantation hépatiqueHôpital Trousseau, CHU ToursToursFrance
| | - Camille Besch
- Service de chirurgie hépato‐bilio‐pancréatique et transplantation hépatiqueCHRU HautepierreStrasbourgFrance
| | - Olivier Boillot
- Université Claude Bernard Lyon 1LyonFrance,Fédération des Spécialités DigestivesHôpital Edouard Herriot, Hospices civils de LyonLyonFrance
| | - Karim Boudjema
- Service de chirurgie hépatobiliaire et digestive et des maladies du foieHôpital Universitaire de PontchaillouRennesFrance
| | - Audrey Coilly
- Centre Hépato‐BiliaireHôpital Paul Brousse, AP‐HP, Université Paris Saclay, Unité Inserm 1193VillejuifFrance
| | - Filomena Conti
- Service de Chirurgie Digestive, Hépato‐Biliaire et de Transplantation HépatiqueHôpital Pitié Salpêtrière, AP‐HPParisFrance
| | | | | | - François Faitot
- Service de chirurgie hépato‐bilio‐pancréatique et transplantation hépatiqueCHRU HautepierreStrasbourgFrance
| | - Stéphanie Faure
- Département d'hépatologie et transplantation hépatiqueCHU Saint EloiMontpellierFrance
| | - Claire Francoz
- Service d'Hépatologie et Transplantation HépatiqueHôpital Beaujon, APHPClichyFrance
| | - Emiliano Giostra
- Service de Gastroentérologie et HépatologieHôpitaux Universitaires de GenèveGenèveSwitzerland
| | - Jean Gugenheim
- Service de Chirurgie Digestive et de Transplantation HépatiqueCHU Archet IINiceFrance
| | - Jean Hardwigsen
- Service chirurgie générale et transplantation hépatiqueHôpital La Timone, APHMMarseilleFrance
| | | | | | - Pauline Houssel‐Debry
- Service de chirurgie hépatobiliaire et digestive et des maladies du foieHôpital Universitaire de PontchaillouRennesFrance
| | - Nassim Kamar
- Département de Néphrologie et Transplantation d'OrganesCHU RangueilToulouseFrance
| | - Guillaume Lassailly
- Service des Maladies de l'Appareil DigestifHôpital Claude Huriez, CHRU LilleLilleFrance
| | | | | | - Didier Samuel
- Centre Hépato‐BiliaireHôpital Paul Brousse, AP‐HP, Université Paris Saclay, Unité Inserm 1193VillejuifFrance
| | - Claire Vanlemmens
- Service d'Hépatologie et Soins Intensifs DigestifsHôpital Jean MinjozBesançonFrance
| | - Faouzi Saliba
- Centre Hépato‐BiliaireHôpital Paul Brousse, AP‐HP, Université Paris Saclay, Unité Inserm 1193VillejuifFrance
| | - Jérôme Dumortier
- Université Claude Bernard Lyon 1LyonFrance,Fédération des Spécialités DigestivesHôpital Edouard Herriot, Hospices civils de LyonLyonFrance
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20
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Abstract
PURPOSE OF REVIEW Viability assessment is one of the main indications for machine perfusion (MP) in liver transplantation. This review summarizes the rationale, evolution and limitations of proposed viability criteria and suggests a framework for future studies. RECENT FINDINGS Liver viability is most frequently assessed during normothermic MP by combining parameters relative to perfusate and bile composition, vascular flows and macroscopic aspect. Assessment protocols are largely heterogeneous and have significantly evolved over time, also within the same group, reflecting the ongoing evolution of the subject. Several recent preclinical studies using discarded human livers or animal models have explored other approaches to viability assessment. During hypothermic MP, perfusate flavin mononucleotide has emerged as a promising biomarker of mitochondrial injury and function. Most studies on the subject suffer from limitations, including low numbers, lack of multicenter validation, and subjective interpretation of some viability parameters. SUMMARY MP adds a further element of complexity in the process of assessing the quality of a liver graft. Understanding the physiology of the parameters included in the different assessment protocols is necessary for their correct interpretation. Despite the possibility of assessing liver viability during MP, the importance of donor-recipient matching and operational variables should not be disregarded.
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Affiliation(s)
- Damiano Patrono
- General Surgery 2U - Liver Transplant Unit. Azienda Ospedaliero Universitaria Città della Salute e della Scienza di Torino - University of Turin, Turin
| | - Caterina Lonati
- Center for Preclinical Research, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Renato Romagnoli
- General Surgery 2U - Liver Transplant Unit. Azienda Ospedaliero Universitaria Città della Salute e della Scienza di Torino - University of Turin, Turin
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21
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Radiomic analysis of liver grafts from brain-dead donors can predict early allograft dysfunction following transplantation: a proof-of-concept study. HPB (Oxford) 2022; 24:1527-1534. [PMID: 35382981 DOI: 10.1016/j.hpb.2022.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/04/2022] [Accepted: 03/11/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Selection of liver grafts suitable for transplantation (LT) mainly depends on a surgeon's subjective assessment. This study aimed to investigate the role of radiomic analysis of donor-liver CTs after brain death (DBD) to predict the occurrence of early posttransplant allograft dysfunction (EAD). METHODS We retrospectively extracted and analyzed the left lobe radiomic features from CT scans of DBD livers in training and validation cohorts. Multivariate analysis was performed to identify predictors of EAD. RESULTS From 126 LTs included in the study in the training cohort, 27 (21.4%) had an EAD. For each patient, 279 radiomic features were extracted of which 5 were associated with EAD (AUC = 0.81) (95% CI 0.72-0.89). Among donor and recipient clinical characteristics, cardiac arrest, steatosis on donor's CT, cold ischemic time and age of recipient were also identified as independent risk factors for EAD. Combined radiomic signature and clinical risk factors showed a strong predictive performance for EAD with a C-index of 0.90 (95% CI 0.84-0.96). A validation cohort of 23 patients confirmed these results. CONCLUSION Radiomic signatures extracted from donor CT scan, independently or combined with clinical risk factors is an objective and accurate biomarker for prediction of EAD after LT.
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22
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Ausania F, Borin A, Martinez-Perez A, Blasi A, Landi F, Colmenero J, Fuster J, Garcia-Valdecasas JC. Development of a preoperative score to predict surgical difficulty in liver transplantation. Surgery 2022; 172:1529-1536. [PMID: 36055816 DOI: 10.1016/j.surg.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 06/13/2022] [Accepted: 07/05/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND A difficulty score to predict intraoperative surgical complexity in liver transplantation has never been developed. The aim of this study was to assess factors associated with a difficult liver transplant and develop a score to predict difficult surgery. METHODS All patients undergoing deceased donor whole liver transplantation from 2012 to 2019 at a single center were included. Estimated intraoperative blood loss (mL/kg) and surgery duration (skin-to-arterial reperfusion time) were used as surrogates of difficulty. Based on these variables, the study population was divided into 2 groups: high risk and standard risk of difficulty. Univariate and multivariate analyses were performed to identify predictors associated with a demanding liver transplantation and develop a difficulty score. RESULTS A total of 515 patients were included in the study population, and 101 (20%) were considered difficult operations. Patients with a higher risk of difficulty showed a significantly higher rate of Clavien-Dindo ≥III complications (50.5% vs 24.4%, P = .001) and a longer hospital stay (19 vs 16 days, P = .001). Preoperative factors associated with difficulty were retransplantation (odds ratio 4.34, P = .001), preoperative portal vein thrombosis (odds ratio 3.419, P = .001), previous upper abdominal surgery (odds ratio 2.161, P = .003), spontaneous bacterial peritonitis (odds ratio 1.985, P < .02), and prior variceal bleeding (odds ratio 1.401, P = .051). A 10-point difficulty score was created, showing a negative predictive value of 84% at 4 points. CONCLUSION Difficult liver transplantation surgery, as assessed by skin-to-arterial reperfusion time and estimated blood loss, is associated with worse perioperative outcomes. We developed a simple score with clinical preoperative variables that predicts difficult surgery, and therefore, it may help to optimize allocation policies and perioperative logistics.
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Affiliation(s)
- Fabio Ausania
- Department of HPB and Transplant Surgery, Hospital Clinic, IDIBAPS, University of Barcelona, Spain. https://twitter.com/fabio_ausania
| | - Alex Borin
- Department of HPB and Transplant Surgery, Hospital Clinic, IDIBAPS, University of Barcelona, Spain; Department of General Surgery and Dentistry, Liver Transplant Unit, University and Hospital Trust of Verona, Italy.
| | | | - Anabel Blasi
- Department of Anesthesia, Hospital Clinic, IDIBAPS, University of Barcelona, Spain
| | - Filippo Landi
- Department of HPB and Transplant Surgery, Hospital Clinic, IDIBAPS, University of Barcelona, Spain
| | - Jordi Colmenero
- Liver Unit, Hospital Clinic, IDIBAPS, CIBERehd, University of Barcelona, Spain
| | - Josep Fuster
- Department of HPB and Transplant Surgery, Hospital Clinic, IDIBAPS, University of Barcelona, Spain
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23
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Yu YD, Lee KS, Man Kim J, Ryu JH, Lee JG, Lee KW, Kim BW, Kim DS. Artificial intelligence for predicting survival following deceased donor liver transplantation: Retrospective multi-center study. Int J Surg 2022; 105:106838. [PMID: 36028137 DOI: 10.1016/j.ijsu.2022.106838] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 04/23/2022] [Accepted: 08/11/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Previous studies have indicated that the model for end-stage liver disease (MELD) score may fail to predict post-transplantation patient survival. Similarly, other scores (donor MELD score, balance of risk score) that have been developed to predict transplant outcomes have not gained widespread use. These scores are typically derived using linear statistical models. This study aimed to compare the performance of traditional statistical models with machine learning approaches for predicting survival following liver transplantation. MATERIALS AND METHODS Data were obtained from 785 deceased donor liver transplant recipients enrolled in the Korean Organ Transplant Registry (2014-2019). Five machine learning methods (random forest, artificial neural networks, decision tree, naïve Bayes, and support vector machine) and four traditional statistical models (Cox regression, MELD score, donor MELD score and balance of risk score) were compared to predict survival. RESULTS Among the machine learning methods, the random forest yielded the highest area under the receiver operating characteristic curve (AUC-ROC) values (1-month = 0.80; 3-month = 0.85; and 12-month = 0.81) for predicting survival. The AUC-ROC values of the Cox regression analysis were 0.75, 0.86, and 0.77 for 1-month, 3-month, and 12-month post-transplant survival, respectively. However, the AUC-ROC values of the MELD, donor MELD, and balance of risk scores were all below 0.70. Based on the variable importance of the random forest analysis in this study, the major predictors associated with survival were cold ischemia time, donor ICU stay, recipient weight, recipient BMI, recipient age, recipient INR, and recipient albumin level. As with the Cox regression analysis, donor ICU stay, donor bilirubin level, BAR score, and recipient albumin levels were also important factors associated with post-transplant survival in the RF model. The coefficients of these variables were also statistically significant in the Cox model (p < 0.05). The SHAP ranges for selected predictors for the 12-month survival were (-0.02,0.10) for recipient albumin, (-0.05,0.07) for donor bilirubin and (-0.02,0.25) for recipient height. Surprisingly, although not statistically significant in the Cox model, recipient weight, recipient BMI, recipient age, or recipient INR were important factors in our random forest model for predicting post-transplantation survival. CONCLUSION Machine learning algorithms such as the random forest were superior to conventional Cox regression and previously reported survival scores for predicting 1-month, 3-month, and 12-month survival following liver transplantation. Therefore, artificial intelligence may have significant potential in aiding clinical decision-making during liver transplantation, including matching donors and recipients.
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Affiliation(s)
- Young-Dong Yu
- Division of HBP Surgery & Liver Transplantation, Department of Surgery, Korea University College of Medicine, Seoul, South Korea.
| | - Kwang-Sig Lee
- AI Center, Korea University College of Medicine, Seoul, South Korea
| | - Jong Man Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Je Ho Ryu
- Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Busan, South Korea
| | - Jae-Geun Lee
- Department of Surgery, Yonsei University College of Medicine, Seoul, South Korea
| | - Kwang-Woong Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Bong-Wan Kim
- Department of Liver Transplantation and Hepatobiliary Surgery, Ajou University School of Medicine, Suwon, South Korea
| | - Dong-Sik Kim
- Division of HBP Surgery & Liver Transplantation, Department of Surgery, Korea University College of Medicine, Seoul, South Korea.
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24
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Briceño J, Calleja R, Hervás C. Artificial intelligence and liver transplantation: Looking for the best donor-recipient pairing. Hepatobiliary Pancreat Dis Int 2022; 21:347-353. [PMID: 35321836 DOI: 10.1016/j.hbpd.2022.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 02/28/2022] [Indexed: 02/07/2023]
Abstract
Decision-making based on artificial intelligence (AI) methodology is increasingly present in all areas of modern medicine. In recent years, models based on deep-learning have begun to be used in organ transplantation. Taking into account the huge number of factors and variables involved in donor-recipient (D-R) matching, AI models may be well suited to improve organ allocation. AI-based models should provide two solutions: complement decision-making with current metrics based on logistic regression and improve their predictability. Hundreds of classifiers could be used to address this problem. However, not all of them are really useful for D-R pairing. Basically, in the decision to assign a given donor to a candidate in waiting list, a multitude of variables are handled, including donor, recipient, logistic and perioperative variables. Of these last two, some of them can be inferred indirectly from the team's previous experience. Two groups of AI models have been used in the D-R matching: artificial neural networks (ANN) and random forest (RF). The former mimics the functional architecture of neurons, with input layers and output layers. The algorithms can be uni- or multi-objective. In general, ANNs can be used with large databases, where their generalizability is improved. However, they are models that are very sensitive to the quality of the databases and, in essence, they are black-box models in which all variables are important. Unfortunately, these models do not allow to know safely the weight of each variable. On the other hand, RF builds decision trees and works well with small cohorts. In addition, they can select top variables as with logistic regression. However, they are not useful with large databases, due to the extreme number of decision trees that they would generate, making them impractical. Both ANN and RF allow a successful donor allocation in over 80% of D-R pairing, a number much higher than that obtained with the best statistical metrics such as model for end-stage liver disease, balance of risk score, and survival outcomes following liver transplantation scores. Many barriers need to be overcome before these deep-learning-based models can be included for D-R matching. The main one of them is the resistance of the clinicians to leave their own decision to autonomous computational models.
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Affiliation(s)
- Javier Briceño
- Unit of Liver Transplantation, Department of General Surgery, Hospital Universitario Reina Sofía, Córdoba, Spain; Maimónides Institute of Biomedical Research of Córdoba (IMIBIC), Córdoba, Spain.
| | - Rafael Calleja
- Unit of Liver Transplantation, Department of General Surgery, Hospital Universitario Reina Sofía, Córdoba, Spain; Maimónides Institute of Biomedical Research of Córdoba (IMIBIC), Córdoba, Spain
| | - César Hervás
- Maimónides Institute of Biomedical Research of Córdoba (IMIBIC), Córdoba, Spain; Department of Computer Sciences and Numerical Analysis, Universidad de Córdoba, Córdoba, Spain
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25
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Bekki Y, Fenig Y. Evaluation of Early Liver Transplantation for Alcohol-Related Cirrhosis. Gastroenterology 2022; 162:2127-2128. [PMID: 34529993 DOI: 10.1053/j.gastro.2021.09.012] [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: 09/08/2021] [Accepted: 09/12/2021] [Indexed: 12/02/2022]
Affiliation(s)
- Yuki Bekki
- Recanati-Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yaniv Fenig
- Division of Transplantation Surgery, Department of Surgery, State University of New York Downstate Health Sciences University, Brooklyn, New York
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26
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Patrono D, Zanierato M, Vergano M, Magaton C, Diale E, Rizza G, Catalano S, Mirabella S, Cocchis D, Potenza R, Livigni S, Balagna R, Romagnoli R. Normothermic Regional Perfusion and Hypothermic Oxygenated Machine Perfusion for Livers Donated After Controlled Circulatory Death With Prolonged Warm Ischemia Time: A Matched Comparison With Livers From Brain-Dead Donors. Transpl Int 2022; 35:10390. [PMID: 35529593 PMCID: PMC9072630 DOI: 10.3389/ti.2022.10390] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/31/2022] [Indexed: 12/29/2022]
Abstract
Prolonged warm ischemia time (WIT) has a negative prognostic value in liver transplantation (LT) using grafts procured after circulatory death (DCD). To assess the value of abdominal normothermic regional perfusion (A-NRP) associated with dual hypothermic oxygenated machine perfusion (D-HOPE) in controlled DCD LT, prospectively collected data on LTs performed between January 2016 and July 2021 were analyzed. Outcome of controlled DCD LTs performed using A-NRP + D-HOPE (n = 20) were compared to those performed with grafts procured after brain death (DBD) (n = 40), selected using propensity-score matching. DCD utilization rate was 59.5%. In the DCD group, median functional WIT, A-NRP and D-HOPE time was 43, 246, and 205 min, respectively. Early outcomes of DCD grafts recipients were comparable to those of matched DBD LTs. In DCD and DBD group, incidence of anastomotic biliary complications and ischemic cholangiopathy was 15% versus 22% (p = 0.73) and 5% versus 2% (p = 1), respectively. One-year patient and graft survival was 100% versus 95% (p = 0.18) and 90% versus 95% (p = 0.82). In conclusion, the association of A-NRP + D-HOPE in DCD LT with prolonged WIT allows achieving comparable outcomes to DBD LT.
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Affiliation(s)
- Damiano Patrono
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Marinella Zanierato
- Department of Anesthesia and Critical Care, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Turin, Italy
| | - Marco Vergano
- Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital, Turin, Italy
| | - Chiara Magaton
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Enrico Diale
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Giorgia Rizza
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Silvia Catalano
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Stefano Mirabella
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Donatella Cocchis
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
| | - Raffaele Potenza
- Regional Procurement Organization, Azienda Ospedaliera Universitaria Città della Salute e della Scienza di Torino, Turin, Italy
| | - Sergio Livigni
- Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital, Turin, Italy
| | - Roberto Balagna
- Anesthesia Department 2, A.O.U. Città Della Salute e Della Scienza di Torino, Turin, Italy
| | - Renato Romagnoli
- General Surgery 2U-Liver Transplant Unit, A.O.U. Città della Salute e della Scienza di Torino, University of Turin, Turin, Italy
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27
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Patrono D, Cussa D, Sciannameo V, Montanari E, Panconesi R, Berchialla P, Lepore M, Gambella A, Rizza G, Catalano G, Mirabella S, Tandoi F, Lupo F, Balagna R, Salizzoni M, Romagnoli R. Outcome of liver transplantation with grafts from brain-dead donors treated with dual hypothermic oxygenated machine perfusion, with particular reference to elderly donors. Am J Transplant 2022; 22:1382-1395. [PMID: 35150050 PMCID: PMC9303789 DOI: 10.1111/ajt.16996] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/21/2021] [Accepted: 01/12/2022] [Indexed: 01/25/2023]
Abstract
Prompted by the utilization of extended criteria donors, dual hypothermic oxygenated machine perfusion (D-HOPE) was introduced in liver transplantation to improve preservation. When donors after neurological determination of death (DBD) are used, D-HOPE effect on graft outcomes is unclear. To assess D-HOPE value in this setting and to identify ideal scenarios for its use, data on primary adult liver transplant recipients from January 2014 to April 2021 were analyzed using inverse probability of treatment weighting, comparing outcomes of D-HOPE-treated grafts (n = 121) with those preserved by static cold storage (n = 723). End-ischemic D-HOPE was systematically applied since November 2017 based on donor and recipient characteristics and transplant logistics. D-HOPE use was associated with a significant reduction of early allograft failure (OR: 0.24; 0.83; p = .024), grade ≥3 complications (OR: 0.57; p = .046), comprehensive complication index (-7.20 points; p = .003), and improved patient and graft survival. These results were confirmed in the subset of elderly donors (>75-year-old). Although D-HOPE did not reduce the incidence of biliary complications, its use was associated with a reduced severity of ischemic cholangiopathy. In conclusion, D-HOPE improves postoperative outcomes and reduces early allograft loss in extended criteria DBD grafts.
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Affiliation(s)
- Damiano Patrono
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Davide Cussa
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | | | - Elena Montanari
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Rebecca Panconesi
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Paola Berchialla
- Department of Clinical and Biological SciencesUniversity of TurinTurinItaly
| | - Mirella Lepore
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | | | - Giorgia Rizza
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Giorgia Catalano
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Stefano Mirabella
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Francesco Tandoi
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Francesco Lupo
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Roberto Balagna
- Anesthesia Department 2A.O.U. Città della Salute e della Scienza di TorinoTurinItaly
| | - Mauro Salizzoni
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
| | - Renato Romagnoli
- General Surgery 2U ‐ Liver Transplant UnitA.O.U. Città della Salute e della Scienza di TorinoUniversity of TurinTurinItaly
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28
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Takemura Y, Shinoda M, Takemura R, Hasegawa Y, Yamada Y, Obara H, Kitago M, Sakamoto S, Kasahara M, Umeshita K, Eguchi S, Ohdan H, Egawa H, Kitagawa Y. Development of a risk score model for 1‐year graft loss after adult deceased donor liver transplantation in Japan based on a 20‐year nationwide cohort. Ann Gastroenterol Surg 2022; 6:712-725. [PMID: 36091314 PMCID: PMC9444863 DOI: 10.1002/ags3.12573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/10/2022] [Accepted: 03/25/2022] [Indexed: 11/18/2022] Open
Abstract
Aim Using nationwide data collected over the past 20 years, we aimed to investigate deceased donor liver transplantation (DDLT) outcomes to develop a unique risk model that can be used to establish a standard for organ acceptance in Japan. Methods Data were collected for 449 recipients aged ≥18 years who underwent DDLT between 1999 and 2019. Least absolute shrinkage and selection operator (LASSO) regression analysis was utilized to develop an original risk score model for 1‐year graft loss (termed the Japan Risk Index [JRI]). We developed risk indices according to recipient, donor, and surgery components (termed JRI‐R, D, and S, respectively). The JRI was validated via a 5‐fold cross‐validation. We also compared DDLT outcomes and risk indices among Era1 (−2011), Era2 (−2015), and Era3 (−2019). Results The 1‐year graft survival rate was 89.5% and improved significantly, reaching 84.7%, 87.6%, and 93.9% in Era1, Era2, and Era3, respectively. The JRI was calculated as JRI‐R (re‐transplantation, Model for End‐Stage Liver Disease score, medical condition in intensive care unit) × JRI‐D (age, catecholamine index, maximum sodium, maximum total bilirubin) × JRI‐S (total ischemic time) × 0.84. The risk model achieved a mean C‐statistic value of 0.81 in the validation analysis. The risk index was significantly lower in Era3 than in Era2. Conclusion Changes in the risk index over time indicated that avoiding risks contributed to the improved outcomes in Era3. The JRI is unique to adult DDLT in Japan and may be useful as a reference for organ acceptance in the future.
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Affiliation(s)
- Yusuke Takemura
- Department of Surgery Keio University School of Medicine Tokyo Japan
| | - Masahiro Shinoda
- Digestive Disease Center Mita Hospital International University of Health and Welfare Tokyo Japan
| | - Ryo Takemura
- Biostatistics Unit, Clinical and Translational Research Center Keio University School of Medicine Tokyo Japan
| | - Yasushi Hasegawa
- Department of Surgery Keio University School of Medicine Tokyo Japan
| | - Yohei Yamada
- Department of Surgery Keio University School of Medicine Tokyo Japan
| | - Hideaki Obara
- Department of Surgery Keio University School of Medicine Tokyo Japan
| | - Minoru Kitago
- Department of Surgery Keio University School of Medicine Tokyo Japan
| | - Seisuke Sakamoto
- Organ Transplantation Center National Center for Child Health and Development Tokyo Japan
| | - Mureo Kasahara
- Organ Transplantation Center National Center for Child Health and Development Tokyo Japan
| | - Koji Umeshita
- Division of Health Science Osaka University Graduate School of Medicine Osaka Japan
| | - Susumu Eguchi
- Department of Surgery Nagasaki University Graduate School of Biomedical Science Nagasaki Japan
| | - Hideki Ohdan
- Department of Gastroenterological and Transplant Surgery Hiroshima University Graduate School of Biomedical and Health Sciences Hiroshima Japan
| | - Hiroto Egawa
- Department of Surgery Institute of Gastroenterology Tokyo Women's Medical University Tokyo Japan
| | - Yuko Kitagawa
- Department of Surgery Keio University School of Medicine Tokyo Japan
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29
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Varying Utilization Rates but Superior Outcomes in Liver Transplantation From Hepatitis C−positive Donors in the US: An Analysis of the OPTN/UNOS Database. Transplantation 2022; 106:1787-1798. [DOI: 10.1097/tp.0000000000004116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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30
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Yang M, Khan AR, Lu D, Wei X, Shu W, Xu C, Pan B, Zhou Z, Wang R, Wei Q, Cen B, Cai J, Zheng S, Xu X. Development of a Novel Prognostic Nomogram for High Model for End-Stage Liver Disease Score Recipients Following Deceased Donor Liver Transplantation. Front Med (Lausanne) 2022; 9:772048. [PMID: 35308496 PMCID: PMC8927074 DOI: 10.3389/fmed.2022.772048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/26/2022] [Indexed: 11/24/2022] Open
Abstract
Background A high model of end-stage liver disease (MELD) score (>30) adversely affects outcomes even if patients receive prompt liver transplantation (LT). Therefore, balanced allocation of donor grafts is indispensable to avoid random combinations of donor and recipient risk factors, which often lead to graft or recipient loss. Predictive models aimed at avoiding donor risk factors in high-MELD score recipients are urgently required to obtain satisfactory outcomes. Method Data of patients with MELD score >30 who underwent LT at three transplantation institutes between 2015 and 2018 were retrospectively reviewed. Early allograft dysfunction (EAD), length of intensive care unit (ICU) stay, and graft loss were recorded. Corresponding independent risk factors were analyzed using stepwise multivariable regression analysis. A prediction model of graft loss was developed, and discrimination and calibration were measured. Results After applying the exclusion criteria, 778 patients were enrolled. The incidence of EAD was 34.8% (271/778). Donor graft macrovesicular steatosis, graft-to-recipient weight ratio (GRWR), warm ischemia time (WIT), cold ischemia time (CIT), and ABO blood incompatibility, together with donor serum albumins, were independent predictors of EAD. The incidence of ICU stay over 10 days was 64.7% (503/778). Donor age, recipient's MELD score, Child score, and CIT were independent predictors of ICU stay. The 3-year graft survival rates (GSRs) in the training and validation cohorts were 64.2 and 59.3%, respectively. The independent predictors of graft loss were recipient's Child score, ABO blood type incompatibility, donor serum total bilirubin over 17.1 μmol/L, and cold CIT. A nomogram based on these variables was internally and externally validated and showed good performance (area under the receiver operating characteristic curve = 70.8 and 66.0%, respectively). For a recipient with a high MELD score, the avoidance of ABO blood type incompatibility and CIT ≥6 h would achieve a 3-year GSR of up to 78.4%, whereas the presence of the aforementioned risk factors would decrease the GSR to 35.4%. Conclusion The long-term prognosis of recipients with MELD scores >30 could be greatly improved by avoiding ABO blood type incompatibility and CIT ≥6 h.
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Affiliation(s)
- Mengfan Yang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Abdul Rehman Khan
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Di Lu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Wenzhi Shu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Chuanshen Xu
- Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Binhua Pan
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Zhisheng Zhou
- National Center for Healthcare Quality Management in Liver Transplant, Hangzhou, China
| | - Rui Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Qiang Wei
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Beini Cen
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Health Commission Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China
| | - Jinzhen Cai
- Organ Transplantation Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Shusen Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou, China
| | - Xiao Xu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,National Center for Healthcare Quality Management in Liver Transplant, Hangzhou, China.,Institute of Organ Transplantation, Zhejiang University, Hangzhou, China.,Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Mucenic M, de Mello Brandão AB, Marroni CA. Artificial intelligence and human liver allocation: Potential benefits and ethical implications. Artif Intell Gastroenterol 2022; 3:21-27. [DOI: 10.35712/aig.v3.i1.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 02/13/2022] [Accepted: 02/23/2022] [Indexed: 02/06/2023] Open
Abstract
Since its implementation almost two decades ago, the urgency allocation policy has improved the survival of patients on the waiting list for liver transplantation worldwide. The Model for End-Stage Liver Disease score is widely used to predict waiting list mortality. Due to some limitations related to its use, there is an active investigation to develop other prognostic scores. Liver allocation (LA) entails complex decision-making, and grafts are occasionally not directed to the recipients who are more likely to survive. Prognostic scores have, thus far, failed to predict post-operatory survival. Furthermore, the increasing use of marginal donors is associated with worse outcomes. Adequate donor-recipient pairing could help avoid retransplantation or futile procedures and reduce postoperative complications, mortality, hospitalization time, and costs. Artificial intelligence has applications in several medical fields. Machine learning algorithms (MLAs) use large amounts of data to detect unforeseen patterns and complex interactions between variables. Artificial neural networks and decision trees were the most common forms of MLA tested on LA. Some researchers have shown them to be superior for predicting waiting list mortality and graft failure than conventional statistical methods. These promising techniques are increasingly being considered for implementation.
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Affiliation(s)
- Marcos Mucenic
- Liver Transplant Adult Group, Irmandade da Santa Casa de Misericórdia de Porto Alegre, Porto Alegre 90020-090, RS, Brazil
| | | | - Claudio Augusto Marroni
- Hepatology, Universidade Federal de Ciencias da Saude de Porto Alegre, Porto Alegre 90050-170, RS, Brazil
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BAR Score Performance in Predicting Survival after Living Donor Liver Transplantation: A Single-Center Retrospective Study. Can J Gastroenterol Hepatol 2022; 2022:2877859. [PMID: 35223683 PMCID: PMC8881181 DOI: 10.1155/2022/2877859] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/18/2022] [Accepted: 01/28/2022] [Indexed: 12/07/2022] Open
Abstract
METHODS 146 adult liver transplant recipients were included. Univariate and multivariate analyses were used to determine the independent predictors of survival at 3 months, 1 year, and 5 years. The receiver operating characteristic (ROC) curve for the BAR score was plotted, and the area under the ROC curve (AUROC) was calculated. Kaplan-Meier curve and log-rank test were used to compare survival above and below the best cutoff values. RESULTS The mean age was 52.45 ± 8.54 years, and 59.6% were males. The survival rates were 89, 78.8, and 72% at 3 months, 1 year, and 5 years, respectively. The BAR score demonstrated a clinically significant value in the prediction of 3-month (AUROC = 0.89), 1-year (AUROC = 0.76), and 5-year survival (AUROC = 0.71). Among the investigated factors associated with survival, BAR score <10 points was the only independent predictor of 3-month (OR 7.34, p < 0.0001), 1-year (OR 3.37, p=0.001), and 5-year survival (OR 2.83, p=0.044). CONCLUSIONS BAR is a simple and easily applicable scoring system that could significantly predict short- and long-term survival after LDLT. A large multicenter study is warranted to validate our results in the Egyptian population.
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33
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Postoperative Donor Liver Damage Can Predict Recipient Short-Term Survival in Living Donor Liver Transplantation. Transplant Proc 2022; 54:418-423. [DOI: 10.1016/j.transproceed.2021.12.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 12/29/2021] [Indexed: 11/22/2022]
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34
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Shimamura T, Goto R, Watanabe M, Kawamura N, Takada Y. Liver Transplantation for Hepatocellular Carcinoma: How Should We Improve the Thresholds? Cancers (Basel) 2022; 14:cancers14020419. [PMID: 35053580 PMCID: PMC8773688 DOI: 10.3390/cancers14020419] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/06/2022] [Accepted: 01/10/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary The ideal treatment for hepatocellular carcinoma (HCC) is liver transplantation (LT), which both eliminates the HCC and cures the diseased liver. Once considered an experimental treatment with dismal survival rates, LT for HCC entered a new era with the establishment of the Milan criteria over 20 years ago. However, over the last two decades, the Milan criteria, which are based on tumor morphology, have come under intense scrutiny and are now largely regarded as too restrictive, and limit the access of transplantation for many patients who would otherwise achieve good clinical outcomes. The liver transplant community has been making every effort to reach a goal of establishing more reliable selection criteria. This article addresses how the criteria have been extended, as well as the concept of pre-transplant down-staging to maximize the eligibility. Abstract Hepatocellular carcinoma (HCC) is the third highest cause of cancer-related mortality, and liver transplantation is the ideal treatment for this disease. The Milan criteria provided the opportunity for HCC patients to undergo LT with favorable outcomes and have been the international gold standard and benchmark. With the accumulation of data, however, the Milan criteria are not regarded as too restrictive. After the implementation of the Milan criteria, many extended criteria have been proposed, which increases the limitations regarding the morphological tumor burden, and incorporates the tumor’s biological behavior using surrogate markers. The paradigm for the patient selection for LT appears to be shifting from morphologic criteria to a combination of biologic, histologic, and morphologic criteria, and to the establishment of a model for predicting post-transplant recurrence and outcomes. This review article aims to characterize the various patient selection criteria for LT, with reference to several surrogate markers for the biological behavior of HCC (e.g., AFP, PIVKA-II, NLR, 18F-FDG PET/CT, liquid biopsy), and the response to locoregional therapy. Furthermore, the allocation rules in each country and the present evidence on the role of down-staging large tumors are addressed.
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Affiliation(s)
- Tsuyoshi Shimamura
- Division of Organ Transplantation, Hokkaido University Hospital, N-14, W-5, Kita-ku, Sapporo 060-8648, Hokkaido, Japan
- Correspondence:
| | - Ryoichi Goto
- Department of Gastroenterological Surgery I, Hokkaido University Graduate School of Medicine, N-15, W-7, Kita-ku, Sapporo 060-8638, Hokkaido, Japan;
| | - Masaaki Watanabe
- Department of Transplant Surgery, Hokkaido University Graduate School of Medicine, N-15, W-7, Kita-ku, Sapporo 060-8638, Hokkaido, Japan; (M.W.); (N.K.)
| | - Norio Kawamura
- Department of Transplant Surgery, Hokkaido University Graduate School of Medicine, N-15, W-7, Kita-ku, Sapporo 060-8638, Hokkaido, Japan; (M.W.); (N.K.)
| | - Yasutsugu Takada
- Department of HBP and Breast Surgery, Ehime University Graduate School of Medicine, Shitsukawa, Toon 791-0295, Ehime, Japan;
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35
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López IP, Alonso AP, Carroll NZ, Villalba JS, Gómez EB, Jiménez AP, Herrera TV, Moral JMVD. Improving Matching Between Recipient and Donor in Liver Transplantation: Are Scores Able to Predict Long-term Survival? Transplant Proc 2021; 54:41-44. [PMID: 34969569 DOI: 10.1016/j.transproceed.2021.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 10/25/2021] [Accepted: 11/17/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND The primary goal was to calculate the value of delta Model for End-Stage Liver Disease (D-MELD) and Balance of Risk (BAR) scores in patients who underwent liver transplant. The secondary objective was to evaluate D-MELD and BAR scores' ability to predict patient and graft survival. METHODS We retrospectively evaluated 336 patients who underwent liver transplant in a tertiary medical center between January 2010 and December 2020. The D-MELD and the BAR scores were evaluated through a receiver operating characteristic curve with the calculation of area under the curve (AUC) to evaluate the predictive score power for 3-month, 6-month, 1-year, and 5-year patient and graft survivals. RESULTS The AUCs of D-MELD score in predicting 5-year patient and graft survival were 0.506 (95% CI, 0.43-0.57) and 0.49 (95% CI, 0.42-0.56), respectively. The AUCs of BAR score in predicting 5-year patient and graft survival were 0.50 (95% CI, 0.33-0.66) and 0.49 (95% CI, 0.30-0.67), respectively. CONCLUSIONS We could not confirm the ability to predict long-term survival by using D-MELD and BAR scores in our sample; however, there is a statistically significant trend in receiver operating characteristic curves of 5-year patient and graft survivals. We encourage the use of new scoring systems with a greater external validation to improve allograft allocation.
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Affiliation(s)
- Irina Palomo López
- General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain.
| | - Alejandro Pérez Alonso
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Natalia Zambudio Carroll
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Julio Santoyo Villalba
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Esther Brea Gómez
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Antonio Palomeque Jiménez
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Trinidad Villegas Herrera
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
| | - Jesús María Villar Del Moral
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Unit, University Hospital Virgen de las Nieves, Granada, Spain
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The impact of hepatitis C virus direct acting agents in liver transplant using very old donor grafts: a real-world single-center analysis. Updates Surg 2021; 74:557-570. [PMID: 34807412 DOI: 10.1007/s13304-021-01204-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/12/2021] [Indexed: 10/19/2022]
Abstract
The correct timing of use of direct acting agents (DAAs) among transplanted patients remains unknown. The aim of this paperwork is to evaluate the impact of DAAs treatment in pre- or peri-operative period in liver transplantation when grafts ≥ 70 years are used. This is a retrospective analysis comparing adult liver transplant performed for HCV-related cirrhosis and/or hepatocarcinoma using a graft ≥ 70 in the period 2015-2018 (Group DAA-HCV-OLD, study group) to three different groups: (a) anti-HCV-Ab-negative patients receiving graft ≥ 70 (no-HCV-OLD), (b) anti-HCV-Ab-negative patients receiving a graft aged 18-69 years (no-HCV-YOUNG), and (c) anti-HCV-Ab-positive patients receiving a donor graft ≥ 70 in the period 2007-2011 (no-DAA-HCV-OLD). Totally, 528 liver transplants were considered: 164 in DAA-HCV-OLD, 143 in no-HCV-OLD, 120 in no-HCV-YOUNG and 101 in no-DAA-HCV-OLD Group. Graft survival rates at 1 and 3 years were 88% and 81% in DAA-HCV-OLD Group, 82% and 68% in no-DAA-HCV-OLD (p = 0.007), 89% and 84% in no-HCV-OLD (p = 0.76), and 94% and 92% in no-HCV-YOUNG (p = 0.02). No differences were observed among groups in the incidence of primary non-function, primary dysfunction, vascular or biliary complications. DAAs were able to zero HCV-related graft loss, with a 3-year graft survival > 80%. The outcomes of older graft recipients became equal irrespectively of their HCV serological status.
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37
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The Need to Update Endpoints and Outcome Analysis in the Rapidly Changing Field of Liver Transplantation. Transplantation 2021; 106:938-949. [PMID: 34753893 DOI: 10.1097/tp.0000000000003973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Liver transplantation (LT) survival rates have continued to improve over the last decades, mostly due to the reduction of mortality early after transplantation. The advancement is facilitating a liberalization of access to LT, with more patients with higher risk profiles being added to the waiting list. At the same time, the persisting organ shortage fosters strategies to rescue organs of high-risk donors. This is facilitated by novel technologies such as machine perfusion. Owing to these developments, reconsideration of the current and emerging endpoints for the assessment of the efficacy of existing and new therapies is warranted. While conventional early endpoints in LT have focused on the damage induced to the parenchyma, the fate of the bile duct and the recurrence of the underlying disease have a stronger impact on the long-term outcome. In light of this evolving landscape, we here attempt to reflect on the appropriateness of the currently used endpoints in the field of LT trials.
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38
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Silveira F, Silveira FP, Freitas ACTD, Coelho JCU, Ramos EJB, Macri MM, Tefilli N, Bredt LC. Liver transplantation: survival and indexes of donor-recipient matching. Rev Assoc Med Bras (1992) 2021; 67:690-695. [PMID: 34550257 DOI: 10.1590/1806-9282.20201088] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 03/13/2021] [Indexed: 02/08/2023] Open
Abstract
OBJECTIVE The aim of this study was to determine the prospective capacity and impact of donor risk index, preallocation survival outcomes following liver transplant, donor model for end-stage liver disease, and balance of risk on patients' 30-day survival after liver transplantation. METHODS We prospectively analyzed patient survival in a multicentric observational cohort of adult liver transplantation through the year of 2019 at the state of Paraná, Brazil. The receiver operating characteristic curve, the area under the curve, and the best cutoff point (i.e., the Youden's index) were estimated to analyze the prognostic value of each index. RESULTS In total, 252 liver transplants were included with an average model for end-stage liver disease score of 21.17 and a 30-day survival of 79.76%. The donor risk index was the only prognostic variable with no relation to patients' 30-day mortality model for end-stage liver disease and donor model for end-stage liver disease have no prognostic value on receiver operating characteristic curve, but preallocation survival outcomes following liver transplant, survival outcomes following liver transplant, and balance of risk presented good relationship with this observation. The cutoff value was estimated in 11-12 points for balance of risk and 9-12 for preallocation survival outcomes following liver transplant and survival outcomes following liver transplant. The 30-day survival for the group of transplants with scores up to 12 points (n=172) in all the three indexes was 87.79%, and for those transplants with scores higher than 12 it was 36.36%. CONCLUSIONS The 30-day survival is 79.76%, and balance of risk, survival outcomes following liver transplant, and preallocation survival outcomes following liver transplant are the good prognostic indexes. The cutoff value of 12 points has clinical usefulness to predict the post-liver transplantation results.
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Affiliation(s)
- Fábio Silveira
- Hospital do Rocio, Serviço de Transplante Hepático - Campo Largo (PR), Brazil
| | | | - Alexandre Coutinho Teixeira de Freitas
- Universidade Federal do Paraná, Hospital de Clínicas, Serviço de Transplante Hepático - Curitiba (PR), Brazil.,Hospital Nossa Senhora das Graças, Serviço de Transplante Hepático - Curitiba (PR), Brazil
| | - Júlio Cezar Uili Coelho
- Universidade Federal do Paraná, Hospital de Clínicas, Serviço de Transplante Hepático - Curitiba (PR), Brazil.,Hospital Nossa Senhora das Graças, Serviço de Transplante Hepático - Curitiba (PR), Brazil
| | | | - Matheus Martin Macri
- Hospital Angelina Caron, Serviço de Transplante Hepático - Campina Grande do Sul (PR), Brazil
| | - Nertan Tefilli
- Hospital São Vicente, Serviço de Transplante Hepático - Curitiba (PR), Brazil
| | - Luis Cesar Bredt
- União Oeste Paranaense de Estudos e Combate ao Câncer, Serviço de Transplante Hepático - Cascavel (PR), Brazil
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39
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Oka A, Ishimura N, Ishihara S. A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology. Diagnostics (Basel) 2021; 11:1719. [PMID: 34574060 PMCID: PMC8468082 DOI: 10.3390/diagnostics11091719] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/17/2021] [Accepted: 09/17/2021] [Indexed: 12/15/2022] Open
Abstract
Artificial intelligence (AI) is rapidly becoming an essential tool in the medical field as well as in daily life. Recent developments in deep learning, a subfield of AI, have brought remarkable advances in image recognition, which facilitates improvement in the early detection of cancer by endoscopy, ultrasonography, and computed tomography. In addition, AI-assisted big data analysis represents a great step forward for precision medicine. This review provides an overview of AI technology, particularly for gastroenterology, hepatology, and pancreatology, to help clinicians utilize AI in the near future.
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Affiliation(s)
- Akihiko Oka
- Department of Internal Medicine II, Faculty of Medicine, Shimane University, Izumo 693-8501, Shimane, Japan; (N.I.); (S.I.)
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Burra P, Samuel D, Sundaram V, Duvoux C, Petrowsky H, Terrault N, Jalan R. Limitations of current liver donor allocation systems and the impact of newer indications for liver transplantation. J Hepatol 2021; 75 Suppl 1:S178-S190. [PMID: 34039488 DOI: 10.1016/j.jhep.2021.01.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 02/07/2023]
Abstract
Liver transplantation represents a life-saving treatment for patients with decompensated cirrhosis, a severe condition associated with a high risk of waiting list mortality. When decompensation occurs rapidly in the presence of extrahepatic organ failures, the condition is called acute-on-chronic liver failure, which is associated with an even higher risk of death, though liver transplantation can also markedly improve survival in affected patients. However, there are still gaps in our understanding of how to optimise prioritisation and organ allocation, as well as survival among patients with acute-on-chronic liver failure (both before and after transplant). Moreover, it is urgent to address inequalities in access to liver transplantation in patients with severe alcoholic hepatitis and non-alcoholic steatohepatitis. Several controversies still exist regarding gender and regional disparities, as well as the use of suboptimal donor grafts. In this review, we aim to provide a critical perspective on the role of liver transplantation in patients with decompensated cirrhosis and address areas of ongoing uncertainty.
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Affiliation(s)
- Patrizia Burra
- Multivisceral Transplant Unit, Department of Surgery, Oncology and Gastroenterology, Padua University Hospital, Padua, Italy.
| | - Didier Samuel
- Centre Hépato-Biliaire, Paris-Saclay University, Inserm research unit 1193, Hôpital Paul Brousse, Villejuif, France
| | - Vinay Sundaram
- Karsh Division of Gastroenterology and Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Christophe Duvoux
- Department of Hepatology and Medical Liver Transplant Unit Henri Mondor Hospital-APHP, Paris Est University (UPEC), Créteil, France
| | - Henrik Petrowsky
- Swiss HPB and Transplantation Center Department of Surgery and Transplantation University Hospital Zürich, Zürich, Switzerland
| | - Norah Terrault
- Keck School of Medicine of University of Southern California, Los Angeles CA, United States
| | - Rajiv Jalan
- Liver Failure Group, Institute for Liver and Digestive Health, University College London, London and European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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Kostakis ID, Iype S, Nasralla D, Davidson BR, Imber C, Sharma D, Pollok JM. Combining Donor and Recipient Age With Preoperative MELD and UKELD Scores for Predicting Survival After Liver Transplantation. EXP CLIN TRANSPLANT 2021; 19:570-579. [PMID: 34085606 DOI: 10.6002/ect.2020.0513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVES The end-stage liver disease scoring systems MELD, UKELD, and D-MELD (donor age × MELD) have had mediocre results for survival assessment after orthotopic liver transplant. Here, we introduced new indices based on preoperative MELD and UKELDscores and assessed their predictive ability on survival posttransplant. MATERIALS AND METHODS We included 1017 deceased donor orthotopic liver transplants that were performed between 2008 (the year UKELD was introduced) and 2019. Donor and recipient characteristics, liver disease scores, transplant characteristics, and outcomes were collected for analyses. D-MELD, D-UKELD (donor age × UKELD),DR-MELD[(donor age + recipient age) × MELD], and DR-UKELD [(donor age + recipient age) × UKELD] were calculated. RESULTS No score had predictive value for graft survival. For patient survival,DR-MELD and DR-UKELD provided the best results but with low accuracy. The highest accuracy was observed at 1 year posttransplant (areas under the curve of 0.598 [95% CI, 0.529-0.667] and 0.609 [95% CI, 0.549-0.67]forDR-MELDandDR-UKELD). Addition of donor and recipient age significantly improved the predictive abilities of MELD and UKELD for patient survival, but addition of donor age alone did not. For 1-year mortality (using receiver operating characteristic curves), optimal cut-off points were DR-MELD>2345 and DR-UKELD>5908. Recipients with DR-MELD >2345 (P < .001) and DR-UKELD >5908 (P = .002) had worse patient survival within the first year, but only DR-MELD >2345 remained significant after multivariable analysis (P = .007). CONCLUSIONS DR-MELD and DR-UKELD scores provided the best, albeit mediocre, predictive ability among the 6 tested models, especially at 1 year after posttransplant, although only for patient but not for graft survival. A DR-MELD >2345 was considered to be an additional independent risk factor for worse recipient survival within the first postoperative year.
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Affiliation(s)
- Ioannis D Kostakis
- From the Department of HPB Surgery and Liver Transplantation, Royal Free Hospital, Royal Free London NHS Foundation Trust, London, UK; and the Division of Surgery and Interventional Science, University College London, London, UK
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Kaltenmeier C, Jorgensen D, Dharmayan S, Ayloo S, Rachakonda V, Geller DA, Tohme S, Molinari M. The liver transplant risk score prognosticates the outcomes of liver transplant recipients at listing. HPB (Oxford) 2021; 23:927-936. [PMID: 33189566 PMCID: PMC8110600 DOI: 10.1016/j.hpb.2020.10.002] [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] [Received: 03/09/2020] [Revised: 07/20/2020] [Accepted: 10/05/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND We assessed if the risk of post-liver transplant mortality within 24 h could be stratified at the time of listing using the liver transplant risk score (LTRS). Secondary aims were to assess if the LTRS could stratify the risk of 30-day, 1-year mortality, and survival beyond the first year. METHODS MELD, BMI, age, diabetes, and the need for dialysis were the five variables used to calculate the LTRS during patients' evaluation for liver transplantation. Mortality rates at 24 h, 30 days, and 1-year were compared among groups of patients with different LTRS. Patients with ABO-incompatibility, redo, multivisceral, partial graft and malignancies except for hepatocellular carcinoma were excluded. Data of 48,616 adult liver transplant recipients were extracted from the Scientific Registry of Transplant Recipients between 2002 and 2017. RESULTS 24-h mortality was 0.9%, 1.0%, 1.1%, 1.7%, 2.3%, 2.0% and 3.5% for patients with LTRS of 0,1,2,3,4, 5 and ≥ 6, respectively (P < 0.001). 30-day mortality was 3.5%, 4.2%, 4.9%, 6.2%, 7.6%, 7.2% and 10.1% respectively (P < 0.001). 1-year mortality was 8.6%, 10.8%, 12.9%, 13.9%, 18.5%, 20.3% and 28.6% respectively (P < 0.001). 10-year survival was 61%, 56%, 57%, 54%, 47%, and 31% for patients with 0, 1, 2, 3, 4, 5 and ≥ 6 points respectively (P < 0.001). CONCLUSION Perioperative mortality and long-term survival of patients undergoing LT can be accurately estimated at the time of listing by the LTRS.
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Affiliation(s)
| | - Dana Jorgensen
- Department of Surgery (Statistics), University of Pittsburgh, Pittsburgh, PA
| | | | - Subhashini Ayloo
- Department of Surgery, Rutgers New Jersey Medical School, Newark, NJ
| | | | - David A. Geller
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA
| | - Samer Tohme
- Department of Surgery, University of Pittsburgh, Pittsburgh, PA
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Silveira F, Silveira FP, Freitas ACTD, Coelho JCU, Ramos EJB, Macri MM, Tefilli N, Bredt LC. Liver transplantation: survival and indexes of donor-recipient matching. Rev Assoc Med Bras (1992) 2021. [DOI: https:/doi.org/10.1590/1806-9282.20201088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
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Zhou J, Huang Z, Chen Z, Xu F, Tong R, Zheng S. Impact of donor age on liver transplant outcomes in patients with hepatocellular carcinoma: analysis of the SRTR database. BMC Gastroenterol 2021; 21:195. [PMID: 33931011 PMCID: PMC8086097 DOI: 10.1186/s12876-021-01786-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 04/21/2021] [Indexed: 12/26/2022] Open
Abstract
Background Donor age is an important predictor for liver transplant recipients. Studies have not fully explored its impact on transplant outcomes in hepatocellular carcinoma (HCC) patients as well as its involvement in tumor recurrence. Methods HCC patients who received liver transplants during 2010–2017 from the Scientific Registry of Transplant Recipients database were included. The recipients were divided into four groups based on donor age: I (≤ 34 years), II (35–49 years), III (50–64 years), and IV (≥ 65 years). Transplant outcomes, including the overall survival (OS), tumor recurrence, and risks, were evaluated. Results A total of 13,276 HCC recipients were included in this study. Statistical significant differences were observed in OS among the four groups. The best 5-year survival was 76.0% in group I, followed by 73.5% in group II, 72.8% in group III, and 69.2% in group IV (P < 0.001). However, the liver-specific survival did not differ among these groups (P = 0.260). Donor age was found to be the independent predictor of OS after adjusting for other variables (P < 0.001, ref. group I; 1.087 (0.979–1.208) for group II, P = 0.119; 1.124 (1.015–1.246) for group III, P = 0.025; 1.395 (1.215–1.602) for group IV, P < 0.001). In subgroup analysis, OS was significantly different in recipients with hepatitis C virus (HCV), but there was no significant difference for recipients with hepatitis B virus (HBV), alcoholic liver diseases and nonalcoholic steatohepatitis (NASH). The post-transplant cumulative tumor recurrence rates were similar among the four groups (P = 0.382). Conclusions Older donor age was associated with decreased OS but not liver-specific survival as well as post-transplant tumor recurrence in HCC recipients. Donor age also had different effects in patients with different underlying liver diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-021-01786-6.
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Affiliation(s)
- Jie Zhou
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.,NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China.,Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, Research Unit of Collaborative Diagnosis and Treatment For Hepatobiliary and Pancreatic Cancer, Chinese Academy of Medical Sciences (2019RU019), Hangzhou, China.,Key Laboratory of Organ Transplantation, Research Center for Diagnosis and Treatment of Hepatobiliary Diseases, Hangzhou, 310003, Zhejiang Province, China
| | - Zhichao Huang
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Zheng Chen
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Fangshen Xu
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Rongliang Tong
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.,NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China.,Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, Research Unit of Collaborative Diagnosis and Treatment For Hepatobiliary and Pancreatic Cancer, Chinese Academy of Medical Sciences (2019RU019), Hangzhou, China.,Key Laboratory of Organ Transplantation, Research Center for Diagnosis and Treatment of Hepatobiliary Diseases, Hangzhou, 310003, Zhejiang Province, China
| | - Shusen Zheng
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, First Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China. .,NHC Key Laboratory of Combined Multi-Organ Transplantation, Hangzhou, China. .,Key Laboratory of the Diagnosis and Treatment of Organ Transplantation, Research Unit of Collaborative Diagnosis and Treatment For Hepatobiliary and Pancreatic Cancer, Chinese Academy of Medical Sciences (2019RU019), Hangzhou, China. .,Key Laboratory of Organ Transplantation, Research Center for Diagnosis and Treatment of Hepatobiliary Diseases, Hangzhou, 310003, Zhejiang Province, China.
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Chen L, Zhang J, Lu T, Cai J, Zheng J, Yao J, Yi S, Li H, Chen G, Zhao H, Zhang Y, Yang Y. A nomogram to predict survival in patients with acute-on-chronic hepatitis B liver failure after liver transplantation. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:555. [PMID: 33987253 PMCID: PMC8105851 DOI: 10.21037/atm-20-6180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 01/03/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Individualized prediction of survival after liver transplantation (LT) for patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) has not been well investigated. This study aimed to develop a prognostic nomogram for patients with HBV-ACLF undergoing LT. METHODS The nomogram was derived from a retrospective study of 290 patients who underwent LT for HBV-ACLF at the Third Affiliated Hospital of Sun Yat-sen University between January 2012 and December 2017. Concordance index and determiner calibration curve was used to ascertain the predictive accuracy and discriminative ability of the nomogram. The predictive performance of the nomogram was compared with that of Child-Pugh score, model for end-stage liver disease (MELD), MELD-Na, chronic liver failure Consortium Organ Failure score (CLIF-C OFs), and CLIF-C ACLF. RESULTS The 1-year mortality rate was 23.1% (67/290). The Cox multivariate analysis showed that risk factors for 1-year survival rate included white blood cell count, alanine aminotransferase/aspartate aminotransferase ratio, and the organ failure numbers. The determiner calibration curve showed good agreement between prediction of the nomogram and actual observation. The concordance index of the nomogram for predicting 1-year survival was 0.707, which was significantly higher than that of other prognostic models: Child-Pugh score (0.626), MELD (0.627), MELD-Na (0.583), CLIF-C OF (0.674), and comparable to that of CLIF-C ACLF (0.684). CONCLUSIONS Our study developed a novel nomogram that could accurately predict individualized post-transplantation survival in patients with HBV-ACLF. The nomogram might be a useful tool for identifying HBV-ACLF patients who would benefit from LT.
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Affiliation(s)
- Liang Chen
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jiebin Zhang
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Tongyu Lu
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jianye Cai
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jun Zheng
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Jia Yao
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Shuhong Yi
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Hua Li
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Guihua Chen
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Hui Zhao
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yingcai Zhang
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yang Yang
- Department of Hepatic Surgery and Liver Transplantation Center, Organ Transplantation Institute, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Ivanics T, Abreu P, De Martin E, Sapisochin G. Changing Trends in Liver Transplantation: Challenges and Solutions. Transplantation 2021; 105:743-756. [PMID: 32910093 DOI: 10.1097/tp.0000000000003454] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Despite improvements in postliver transplant outcomes through refinements in perioperative management and surgical techniques, several changing trends in liver transplantation have presented challenges. Mortality on the waitlist remains high. In the United States, Europe, and the United Kingdom, there is an increasing need for liver transplantation, primarily as a result of increased incidence of nonalcoholic steatohepatitis-related cirrhosis and cancer indications. Meanwhile, donor suitability has decreased, as donors are often older and have more comorbidities. Despite a mismatch between organ need and availability, many organs are discarded. Notwithstanding this, many solutions have been developed to overcome these challenges. Innovative techniques in allograft preservation, viability assessment, and reconditioning have allowed the use of suboptimal organs with adequate results. Refinements in surgical procedures, including live donor liver transplantations, have increased the organ pool and are decreasing the time and mortality on the waitlist. Despite many challenges, a similar number of solutions and prospects are on the horizon. This review seeks to explore the changing trends and challenges in liver transplantation and highlight possible solutions and future directions.
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Affiliation(s)
- Tommy Ivanics
- Multi-Organ Transplant Program, University Health Network, Toronto, ON, Canada
| | - Phillipe Abreu
- Multi-Organ Transplant Program, University Health Network, Toronto, ON, Canada
| | - Eleonora De Martin
- APHP, Hôpital Paul Brousse, Centre Hépato-Biliaire, INSERM 1193, Université Paris-Sud, DHU Hepatinov, Villejuif, France
| | - Gonzalo Sapisochin
- Multi-Organ Transplant Program, University Health Network, Toronto, ON, Canada
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Preoperative Stratification of Liver Transplant Recipients: Validation of the LTRS. Transplantation 2021; 104:e332-e341. [PMID: 32675743 DOI: 10.1097/tp.0000000000003353] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND The liver transplant risk score (LTRS) was developed to stratify 90-day mortality of patients referred for liver transplantation (LT). We aimed to validate the LTRS using a new cohort of patients. METHODS The LTRS stratifies the risk of 90-day mortality of LT recipients based on their age, body mass index, diabetes, model for end-stage liver disease (MELD) score, and need for dialysis. We assessed the performance of the LTRS using a new cohort of patients transplanted in the United States between July 2013 and June 2017. Exclusion criteria were age <18 years, ABO incompatibility, redo or multivisceral transplants, partial grafts, malignancies other than hepatocellular carcinoma and fulminant hepatitis. RESULTS We found a linear correlation between the number of points of the LTRS and 90-day mortality. Among 18 635 recipients, 90-day mortality was 2.7%, 3.8%, 5.2%, 4.8%, 6.7%, and 9.3% for recipients with 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). The LTRS also stratified 1-year mortality that was 5.5%, 7.7%, 9.9%, 9.3%, 10.8%, and 15.4% for 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). An inverse correlation was found between the LTRS and 4-year survival that was 82%, 79%, 78%, 82%, 78%, and 66% for patients with 0, 1, 2, 3, 4, and ≥5 points (P < 0.001). The LTRS remained an independent predictor after accounting for recipient sex, ethnicity, cause of liver disease, donor age, cold ischemia time, and waiting time. CONCLUSIONS The LTRS can stratify the short- and long-term outcomes of LT recipients at the time of their evaluations irrespective of their gender, ethnicity, and primary cause of liver disease.
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Kadohisa M, Inomata Y, Uto K, Hayashida S, Ohya Y, Yamamoto H, Sugawara Y, Hibi T. Impact of Donor Age on the Outcome of Living-donor Liver Transplantation: Special Consideration to the Feasibility of Using Elderly Donors. Transplantation 2021; 105:328-337. [PMID: 32235254 DOI: 10.1097/tp.0000000000003246] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND The use of elderly donors (≥60 y) in living-donor liver transplantation (LDLT) remains controversial. In this study, we aimed to determine the safety of surgery for elderly donors and the impact of donor age on LDLT outcomes. METHODS We, retrospectively, reviewed 470 cases of LDLT at Kumamoto University Hospital from December 1998 to March 2017. RESULTS Donors were divided into 5 groups according to age: 20-29 (n = 109), 30-39 (n = 157), 40-49 (n = 87), 50-59 (n = 81), and ≥60 (n = 36). At our institution, elderly donor candidates required additional preoperative work-up. There were no significant differences in the incidence of postoperative complications and duration of postoperative hospital stay among the 5 donor groups. Regardless of graft type, elderly donors were comparable to younger donor groups (<30 y) in postoperative recovery of liver function. Risk-adjusted overall survival rates of recipients among donor groups were not significantly different. Additionally, donor age was not significantly associated with 6-month graft survival of adult and pediatric recipients. CONCLUSIONS Elderly candidates ≥60 years of age can safely be selected as LDLT donors after meticulous preoperative work-up.
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Affiliation(s)
- Masashi Kadohisa
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | | | - Keiichi Uto
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | - Shintaro Hayashida
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | - Yuki Ohya
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | - Hidekazu Yamamoto
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | - Yasuhiko Sugawara
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
| | - Taizo Hibi
- Department of Transplantation and Pediatric Surgery, Kumamoto University, Kumamoto, Japan
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Rizzari MD, Safwan M, Sobolic M, Kitajima T, Collins K, Yoshida A, Abouljoud M, Nagai S. The Impact of Portal Vein Thrombosis on Liver Transplant Outcomes: Does Grade or Flow Rate Matter? Transplantation 2021; 105:363-371. [PMID: 32217946 DOI: 10.1097/tp.0000000000003235] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Portal vein thrombosis (PVT) makes the technical aspect of liver transplantation challenging and also affects outcomes. Our aim was to study impact of PVT grade and postreperfusion portal flow on posttransplant outcomes. METHODS Patients who underwent transplantation with PVT between January 2007 and May 2017 were selected (n = 126). Data on grade of PVT and portal vein flow were collected. Patients were classified into 2 groups; low grade (Yerdel Grade I, n = 73) and high grade (Yerdel Grade II or III, n = 53). Using portal flow rate, patients were divided into high flow (≥1000 mL/min, n = 95) and low flow (<1000 mL/min, n = 31). Additional analyses of flow by graft weight and complications were performed. RESULTS Postoperatively, incidence of biliary strictures were significantly greater in high-grade PVT compared with low grade (P = 0.02). Incidence of postoperative portal vein thrombosis was higher in low flow after reperfusion compared with high flow (P = 0.02), as was bile leak (P = 0.02). On identifying factors associated with graft loss, moderate to severe ascites preoperatively, high PVT grade and bile leak were associated with worse graft survival. Subanalysis performed combining grade and flow showed that low grade, high flow had the highest graft survival while high grade, low flow had the lowest (P = 0.006). High-grade PVT with low flow also appeared to be an independent risk factor for biliary complications (P = 0.01). CONCLUSIONS In conclusion, biliary complications, especially strictures are more common in high-grade PVT and graft survival is worse in high-grade PVT and low portal flow.
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Affiliation(s)
- Michael D Rizzari
- Division of Transplant and Hepatobiliary Surgery, Henry Ford Hospital, Detroit, MI
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Kong L, Lv T, Yang J, Jiang L, Yang J. Adult split liver transplantation: A PRISMA-compliant Chinese single-center retrospective case-control study. Medicine (Baltimore) 2020; 99:e23750. [PMID: 33371134 PMCID: PMC7748205 DOI: 10.1097/md.0000000000023750] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 11/17/2020] [Indexed: 02/05/2023] Open
Abstract
Although pediatric split liver transplantation (SLT) has been proven safe and the waitlist mortality rate has been successfully reduced, the safety of adult SLT has not been confirmed.Using 1:2 matching, 47 recipients who underwent adult SLT were matched to 94 of 743 recipients who underwent adult whole graft liver transplantation (WGLT). Eventually, 141 recipients were included in the case-control study. Subgroup analysis of 43 recipients in the SLT group was performed based on the presence of the middle hepatic vein (MHV) in the grafts.No significant differences in 5-year survival (80.8% vs 81.6%, P = .465) were observed between the adult SLT and WGLT groups. However, compared to recipients in the WGLT group, those in the SLT group had more Clavien-Dindo grade III-V complications, longer hospitalization duration, and higher mortality within 45 days. Furthermore, on multivariate analysis, 45-day postoperative mortality in recipients in the SLT group was mainly affected by hyperbilirubinemia within postoperative day (POD) 7-14, surgery time, and intraoperative blood loss. Subgroup analysis showed no significant differences in hyperbilirubinemia within POD 7-14, complications, and survival rate between SLTMHV(+) and SLTMHV [-].Adult SLT is safe and effective based on long-term survival rates; however, a reduction in the incidence of short-term complications is required. Non-obstructive hyperbilirubinemia within POD 7 to 14 is an independent predictor of short-term mortality after SLT.
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