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Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group

BACKGROUND & AIMS: When listing for liver transplantation, one can transplant as soon as possible or introduce a test-of-time to better select patients, as the tumor’s biological behavior is observed. Knowing the degree of harm caused by time itself is essential to advise patients and decide on...

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Autores principales: Beumer, Berend R, Polak, Wojciech G, de Man, Robert A, Metselaar, Herold J, van Klaveren, David, Labrecque, Jeremy, IJzermans, Jan NM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841350/
https://www.ncbi.nlm.nih.gov/pubmed/36654943
http://dx.doi.org/10.1016/j.jhepr.2022.100629
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author Beumer, Berend R
Polak, Wojciech G
de Man, Robert A
Metselaar, Herold J
van Klaveren, David
Labrecque, Jeremy
IJzermans, Jan NM
author_facet Beumer, Berend R
Polak, Wojciech G
de Man, Robert A
Metselaar, Herold J
van Klaveren, David
Labrecque, Jeremy
IJzermans, Jan NM
author_sort Beumer, Berend R
collection PubMed
description BACKGROUND & AIMS: When listing for liver transplantation, one can transplant as soon as possible or introduce a test-of-time to better select patients, as the tumor’s biological behavior is observed. Knowing the degree of harm caused by time itself is essential to advise patients and decide on the maximum duration of the test-of-time. Therefore, we investigated the causal effect of waiting time on post-transplant survival for patients with hepatocellular carcinoma. METHODS: We analyzed the UNOS-OPTN dataset and exploited a natural experiment created by blood groups. Relations between variables and assumptions were described in a causal graph. Selection bias was addressed by inverse probability weighting. Confounding was avoided using instrumental variable analysis, with an additive hazards model in the second stage. The causal effect was evaluated by estimating the difference in 5-year overall survival if all patients waited 2 months instead of 12 months. Upper bounds of the test-of-time were evaluated for probable scenarios by means of simulation. RESULTS: The F-statistic of the first stage was 86.3. The effect of waiting 12 months vs. 2 months corresponded with a drop in overall survival rate of 5.07% (95% CI 0.277–9.69) and 8.33% (95% CI 0.47–15.60) at 5- and 10-years post-transplant, respectively. The median survival dropped by 3.41 years from 16.21 years (95% CI 15.98–16.60) for those waiting 2 months to 12.80 years (95% CI 10.72–15.90) for those waiting 12 months. CONCLUSIONS: From a patient’s perspective, the choice between ablate-and-wait vs. immediate transplantation is in favor of immediate transplantation. From a policy perspective, the extra waiting time can be used to increase the utility of scarce donor livers. However, the duration of the test-of-time is bounded, and it likely should not exceed 8 months. IMPACT AND IMPLICATIONS: When listing patients with liver cancer for transplantation, it is unclear whether a test-of-time or immediate transplantation offer better outcomes at the population level. In this study, we found that increased liver transplant waiting times are detrimental in patients with liver cancer. Furthermore, our simulation showed that a pre-operative observational period can be useful to ensure good donor liver allocation, but that its duration should not exceed 8 months.
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spelling pubmed-98413502023-01-17 Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group Beumer, Berend R Polak, Wojciech G de Man, Robert A Metselaar, Herold J van Klaveren, David Labrecque, Jeremy IJzermans, Jan NM JHEP Rep Research Article BACKGROUND & AIMS: When listing for liver transplantation, one can transplant as soon as possible or introduce a test-of-time to better select patients, as the tumor’s biological behavior is observed. Knowing the degree of harm caused by time itself is essential to advise patients and decide on the maximum duration of the test-of-time. Therefore, we investigated the causal effect of waiting time on post-transplant survival for patients with hepatocellular carcinoma. METHODS: We analyzed the UNOS-OPTN dataset and exploited a natural experiment created by blood groups. Relations between variables and assumptions were described in a causal graph. Selection bias was addressed by inverse probability weighting. Confounding was avoided using instrumental variable analysis, with an additive hazards model in the second stage. The causal effect was evaluated by estimating the difference in 5-year overall survival if all patients waited 2 months instead of 12 months. Upper bounds of the test-of-time were evaluated for probable scenarios by means of simulation. RESULTS: The F-statistic of the first stage was 86.3. The effect of waiting 12 months vs. 2 months corresponded with a drop in overall survival rate of 5.07% (95% CI 0.277–9.69) and 8.33% (95% CI 0.47–15.60) at 5- and 10-years post-transplant, respectively. The median survival dropped by 3.41 years from 16.21 years (95% CI 15.98–16.60) for those waiting 2 months to 12.80 years (95% CI 10.72–15.90) for those waiting 12 months. CONCLUSIONS: From a patient’s perspective, the choice between ablate-and-wait vs. immediate transplantation is in favor of immediate transplantation. From a policy perspective, the extra waiting time can be used to increase the utility of scarce donor livers. However, the duration of the test-of-time is bounded, and it likely should not exceed 8 months. IMPACT AND IMPLICATIONS: When listing patients with liver cancer for transplantation, it is unclear whether a test-of-time or immediate transplantation offer better outcomes at the population level. In this study, we found that increased liver transplant waiting times are detrimental in patients with liver cancer. Furthermore, our simulation showed that a pre-operative observational period can be useful to ensure good donor liver allocation, but that its duration should not exceed 8 months. Elsevier 2022-11-22 /pmc/articles/PMC9841350/ /pubmed/36654943 http://dx.doi.org/10.1016/j.jhepr.2022.100629 Text en © 2022 Published by Elsevier B.V. on behalf of European Association for the Study of the Liver (EASL). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Beumer, Berend R
Polak, Wojciech G
de Man, Robert A
Metselaar, Herold J
van Klaveren, David
Labrecque, Jeremy
IJzermans, Jan NM
Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title_full Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title_fullStr Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title_full_unstemmed Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title_short Impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: A natural experiment randomized by blood group
title_sort impact of waiting time on post-transplant survival for recipients with hepatocellular carcinoma: a natural experiment randomized by blood group
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841350/
https://www.ncbi.nlm.nih.gov/pubmed/36654943
http://dx.doi.org/10.1016/j.jhepr.2022.100629
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