1
|
Oldroyd C, Aluvihare V, Holt A, Chew Y, Masson S, Parker R, Rajoriya N, Ryan J, Shepherd L, Simpson K, Wai C, Webzell I, Walton S, Verne J, Allison ME. Women and People From Deprived Areas Are Less Likely to be Assessed for Liver Transplantation for Alcohol-related Liver Disease: Results From a National Study of Transplant Assessments. Transplant Direct 2025; 11:e1761. [PMID: 39936137 PMCID: PMC11809985 DOI: 10.1097/txd.0000000000001761] [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: 10/24/2024] [Revised: 11/04/2024] [Accepted: 11/05/2024] [Indexed: 02/13/2025] Open
Abstract
Background Alcohol-related liver disease (ArLD) is the most common indication for liver transplantation in Europe and the United States. Few studies have examined the characteristics of patients with ArLD formally assessed for liver transplants. Methods We collected prospective data on every patient with ArLD formally assessed for liver transplantation in the United Kingdom during a 12-mo period. Results Five hundred forty-nine patients with ArLD were assessed for liver transplantation. The median Model for End-Stage Liver Disease (MELD) score was 15 and the UK MELD score was 54. 24% were women. The median duration of abstinence was 12 mo. Listing outcomes were 59% listed, 4% deferred, and 37% not listed. The reasons for not listing were medical comorbidities (29%), too early for transplantation (20%), potential recoverability (18%), recent alcohol use (12%), and other (21%). Patients listed for transplant had a higher median MELD (16 versus 13; P < 0.001) and UK MELD scores (55 versus 53; P < 0.001), longer duration of abstinence (median 12 versus 10 mo; P = 0.026), and no differences in sex (P = 0.258), age distribution (P = 0.53), or deprivation deciles compared with those not listed. Comparing patients assessed for transplantation to national data on deaths from ArLD revealed a lower proportion of female patients (24% assessed versus 36% deaths; P < 0.001) and patients from areas of high deprivation (assessments: deaths, most deprived decile 1:20 versus least deprived decile 1:9). Conclusions This study provides the first complete national profile of evaluations for liver transplantation for patients with ArLD. Women and patients from the most deprived deciles of the population may be relatively underrepresented.
Collapse
Affiliation(s)
- Christopher Oldroyd
- Liver Unit, NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, University of Cambridge, Cambridge, United Kingdom
| | - Varuna Aluvihare
- Institute of Liver Studies, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Andrew Holt
- Liver Transplant Unit, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Yun Chew
- Liver Unit, The Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Steven Masson
- Liver Unit, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom
| | - Richard Parker
- Liver Unit, The Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Neil Rajoriya
- Liver Transplant Unit, University Hospitals Birmingham NHS Foundation Trust, Institute of Immunotherapy and Inflammation, University of Birmingham, Birmingham, United Kingdom
| | - Jennifer Ryan
- The Sheila Sherlock Liver Unit, Royal Free London NHS Foundation Trust, London, United Kingdom
| | - Liz Shepherd
- The Sheila Sherlock Liver Unit, Royal Free London NHS Foundation Trust, London, United Kingdom
| | - Kenneth Simpson
- Scottish Liver Transplant Unit, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Clare Wai
- Cambridge and Peterborough NHS Foundation Trust, Cambridge Liver Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Ian Webzell
- Institute of Liver Studies, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Sharon Walton
- Office for Health Improvement and Disparities, London, United Kingdom
| | - Julia Verne
- King’s College London, London, United Kingdom
| | - Michael E.D. Allison
- Liver Unit, NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, University of Cambridge, Cambridge, United Kingdom
| |
Collapse
|
2
|
Attia A, Webb J, Connor K, Johnston CJC, Williams M, Gordon-Walker T, Rowe IA, Harrison EM, Stutchfield BM. Effect of recipient age on prioritisation for liver transplantation in the UK: a population-based modelling study. THE LANCET. HEALTHY LONGEVITY 2024; 5:e346-e355. [PMID: 38705152 DOI: 10.1016/s2666-7568(24)00044-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 03/05/2024] [Accepted: 03/05/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Following the introduction of an algorithm aiming to maximise life-years gained from liver transplantation in the UK (the transplant benefit score [TBS]), donor livers were redirected from younger to older patients, mortality rate equalised across the age range and short-term waiting list mortality reduced. Understanding age-related prioritisation has been challenging, especially for younger patients and clinicians allocating non-TBS-directed livers. We aimed to assess age-related prioritisation within the TBS algorithm by modelling liver transplantation prioritisation based on data from a UK transplant unit and comparing these data with other regions. METHODS In this population-based modelling study, serum parameters and age at liver transplantation assessment of patients attending the Scottish Liver Transplant Unit, Edinburgh, UK, between December, 2002, and November, 2023, were combined with representative synthetic data to model TBS survival predictions, which were compared according to age group (25-49 years vs ≥60 years), chronic liver disease severity, and disease cause. Models for end-stage liver disease (UKELD [UK], MELD [Eurotransplant region], and MELD 3.0 [USA]) were used as validated comparators of liver disease severity. FINDINGS Of 2093 patients with chronic liver disease, 1808 (86%) had complete datasets and liver disease parameters consistent with eligibility for the liver transplant waiting list in the UK (UKELD ≥49). Disease severity as assessed by UKELD, MELD, and MELD 3.0 did not differ by age (median UKELD scores of 56 for patients aged ≥60 years vs 56 for patients aged 25-49 years; MELD scores of 16 vs 16; and MELD 3.0 scores of 18 vs 18). TBS increased with advancing age (R=0·45, p<0·0001). TBS predicted that transplantation in patients aged 60 years or older would provide a two-fold greater net benefit at 5 years than in patients aged 25-49 years (median TBS 1317 [IQR 1116-1436] in older patients vs 706 [411-1095] in younger patients; p<0·0001). Older patients were predicted to have shorter survival without transplantation than younger patients (263 days [IQR 144-473] in older patients vs 861 days [448-1164] in younger patients; p<0·0001) but similar survival after transplantation (1599 days [1563-1628] vs 1573 days [1525-1614]; p<0·0001). Older patients could reach a TBS for which a liver offer was likely below minimum criteria for transplantation (UKELD <49), whereas many younger patients were required to have high-urgent disease (UKELD >60). US and Eurotransplant programmes did not prioritise according to age. INTERPRETATION The UK liver allocation algorithm prioritises older patients for transplantation by predicting that advancing age increases the benefit from liver transplantation. Restricted follow-up and biases in waiting list data might limit the accuracy of these benefit predictions. Measures beyond overall waiting list mortality are required to fully capture the benefits of liver transplantation. FUNDING None.
Collapse
Affiliation(s)
- Anthony Attia
- School of Medicine, University of Edinburgh, Edinburgh, UK
| | - Jamie Webb
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Katherine Connor
- Department of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, UK; Scottish Liver Transplant Unit, Edinburgh Transplant Centre, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Chris J C Johnston
- Department of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, UK; Scottish Liver Transplant Unit, Edinburgh Transplant Centre, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Michael Williams
- Scottish Liver Transplant Unit, Edinburgh Transplant Centre, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Tim Gordon-Walker
- Scottish Liver Transplant Unit, Edinburgh Transplant Centre, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Ian A Rowe
- Leeds Institute for Medical Research, University of Leeds, Leeds, UK
| | - Ewen M Harrison
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK; Department of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, UK
| | - Ben M Stutchfield
- Department of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, UK; Scottish Liver Transplant Unit, Edinburgh Transplant Centre, Royal Infirmary of Edinburgh, Edinburgh, UK.
| |
Collapse
|
3
|
Legeai C, Antoine C, Jasseron C, Kerbaul F, Dumortier J. Impact of the COVID-19 pandemic on liver transplant waitlist outcome in France. Sci Rep 2023; 13:9308. [PMID: 37291177 PMCID: PMC10248328 DOI: 10.1038/s41598-023-32680-8] [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: 10/21/2022] [Accepted: 03/31/2023] [Indexed: 06/10/2023] Open
Abstract
The objective of this study was to investigate the impact of the COVID-19 pandemic on the outcome of patients on the liver transplantation (LT) waitlist in 2020 in France, in particular, the incidence of deaths and delisting for worsening condition, depending on the allocation score component. The 2020 cohort of patients on the waiting list was compared with the 2018/2019 cohorts. 2020 saw fewer LTs than in either 2019 or 2018 (1128, 1356, and 1325, respectively), together with fewer actual brain dead donors (1355, 1729, and 1743). In 2020, deaths or delisting for worsening condition increased significantly versus 2018/2019 (subdistribution hazard ratio 1.4, 95% confidence interval [CI] 1.2-1.7), after adjustment for age, place of care, diabetes, blood type, and score component, although COVID-19-related mortality was low. This increased risk mainly concerned patients with hepatocellular carcinoma (1.52, 95% CI 1.22-1.90), with 650 MELD exception points (2.19, 95% CI 1.08-4.43), and especially those without HCC and MELD scores from 25 to 30 (3.36 [95% CI 1.82-6.18]). In conclusion, by significantly decreasing LT activity in 2020, the COVID-19 pandemic increased the number of waitlist deaths and delisting for worsening condition, and significantly more for particular components of the score, including intermediate severity cirrhosis.
Collapse
Affiliation(s)
- Camille Legeai
- Organ and Tissue Procurement and Transplantation Department, Agence de la Biomédecine, 1, Avenue du Stade de France, 93212, Saint-Denis la Plaine Cedex, France.
| | - Corinne Antoine
- Organ and Tissue Procurement and Transplantation Department, Agence de la Biomédecine, 1, Avenue du Stade de France, 93212, Saint-Denis la Plaine Cedex, France
| | - Carine Jasseron
- Organ and Tissue Procurement and Transplantation Department, Agence de la Biomédecine, 1, Avenue du Stade de France, 93212, Saint-Denis la Plaine Cedex, France
| | - François Kerbaul
- Organ and Tissue Procurement and Transplantation Department, Agence de la Biomédecine, 1, Avenue du Stade de France, 93212, Saint-Denis la Plaine Cedex, France
| | - Jérôme Dumortier
- Hospices Civils de Lyon, Hôpital Edouard Herriot, Unité de Transplantation Hépatique et Université Claude Bernard Lyon 1, Lyon, France
| |
Collapse
|
4
|
Guo H, Tikhomirov AB, Mitchell A, Alwayn IPJ, Zeng H, Hewitt KC. Real-time assessment of liver fat content using a filter-based Raman system operating under ambient light through lock-in amplification. BIOMEDICAL OPTICS EXPRESS 2022; 13:5231-5245. [PMID: 36425639 PMCID: PMC9664892 DOI: 10.1364/boe.467849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 08/23/2022] [Accepted: 08/26/2022] [Indexed: 06/16/2023]
Abstract
During liver procurement, surgeons mostly rely on their subjective visual inspection of the liver to assess the degree of fatty infiltration, for which misclassification is common. We developed a Raman system, which consists of a 1064 nm laser, a handheld probe, optical filters, photodiodes, and a lock-in amplifier for real-time assessment of liver fat contents. The system performs consistently in normal and strong ambient light, and the excitation incident light penetrates at least 1 mm into duck fat phantoms and duck liver samples. The signal intensity is linearly correlated with MRI-calibrated fat contents of the phantoms and the liver samples.
Collapse
Affiliation(s)
- Hao Guo
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
- Department of Medical Physics, Nova Scotia Health Authority, 5820 University Avenue Halifax, NS B3H 1V7, Canada
| | - Alexey B. Tikhomirov
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
| | - Alexandria Mitchell
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
- Department of Medical Physics, Nova Scotia Health Authority, 5820 University Avenue Halifax, NS B3H 1V7, Canada
| | - Ian Patrick Joseph Alwayn
- Department of Surgery, Leiden University Medical Center (LUMC) Transplant Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Haishan Zeng
- Imaging Unit, Integrative Oncology Department, BC Cancer Research Centre, 675 West 10th Avenue, Vancouver, BC V5Z 1L3, Canada
| | - Kevin C. Hewitt
- Department of Physics and Atmospheric Science, Dalhousie University, 6310 Coburg Road, Halifax, NS B3H 4R2, Canada
| |
Collapse
|