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Uncorrected Proof. Available online 16 September 2024
Predictors of poor postoperative outcomes in liver transplant patients
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Osman Cagin Buldukoglu
Department of Gastroenterology, Antalya Training and Research Hospital, University of Health Sciences, Antalya, Turkey
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Received 23 April 2024. Accepted 12 August 2024
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To the Editor,

I read with great interest and congratulate Sierra et al. on their study [1] entitled “Influence of socioeconomic factors on liver transplant survival outcomes in patients with autoimmune liver disease in the United States.” The authors revealed that the lack of college education, public insurance and not working for income have detrimental impact on post-liver transplant (LT) survival outcomes.

Apart from the wide array of covariates included in the study data by Sierra et al., there are additional factors that can predict post-LT outcomes. Older age, high neutrophil-to-lymphocyte ratio and poor psychosocial status (depression, anxiety, ineffective coping strategies and lack of social support) are predictors of unfavorable post-LT outcomes [2,3,4]. Acute-on-chronic liver failure is an independent predictor of one year post-LT survival [5]. Determination of intraoperative splanchnic hypoperfusion by means of gastric tonometry has been shown to be linked to poor graft function [6]. A recently published and striking paper by Huang et al. revealed valuable data backing up the study by Sierra et al., with results showing racial, ethnic and socioeconomic disparities influence post-LT survival in patients with hepatocellular carcinoma [7]. Fatty liver disease, a rising public health problem worldwide, was not found to have a negative impact on LT outcome [8].

Several scoring systems have been proposed over the years for predicting post-LT outcomes. The Balance of Risk (BAR) score and a simple scoring model utilizing aspartate-aminotransferase and alanine-aminotransferase levels were found to be predictors of graft survival and mortality [9,10]. A study by Costabeber et al. revealed D-MELD score was unable to predict survival in LT patients [11]. Finally, there are studies showing that liver transplantations from donors after circulatory death have similar post-LT outcomes compared to those from donors after brain death [12,13].

In conclusion, the article by Sierra et al. contributes greatly to an important topic. Revealing predictors of poor post-LT outcomes is crucial to determining potentially amendable points in the management of the indispensable, multifaceted therapeutic option that is liver transplantation.

References
[1]
L. Sierra, A. Marenco-Flores, R. Barba, D. Goyes, B. Ferrigno, W. Diaz, et al.
Influence of socioeconomic factors on liver transplant survival outcomes in patients with autoimmune liver disease in the United States.
[2]
B.P. Mohan, S. Iriana, S.R. Khan, P. Yarra, S. Ponnada, J.F. Gallegos-Orozco.
Outcomes of liver transplantation in patients 70 years or older: a systematic review and meta-analysis.
[3]
M. Mouchli, S. Reddy, M. Gerrard, L. Boardman, M. Rubio.
Usefulness of neutrophil-to-lymphocyte ratio (NLR) as a prognostic predictor after treatment of hepatocellular carcinoma." Review article.
[4]
L. Golfieri, S. Gitto, R. Vukotic, P. Andreone, F. Marra, M.C. Morelli, et al.
Impact of psychosocial status on liver transplant process.
Ann Hepatol, 18 (2019), pp. 804-809
[5]
C. Benítez, J. Arnold, V. Cambindo, F. Schoenfeldt, A. Cancino, S. Ibáñez, et al.
Effect of acute on chronic liver failure over post-transplant survival.
[6]
V. Perilli, P. Aceto, C. Modesti, F. Vitale, P. Ciocchetti, T. Sacco, et al.
Prediction of poor graft function by means of gastric tonometry in patients undergoing liver transplantation.
Ann Hepatol, 13 (2013), pp. 54-59
[7]
D.C. Huang, R.L. Yu, S. Alqahtani, H. Tamim, B. Saberi, A. Bonder.
Racial, ethnic, and socioeconomic disparities impact post-liver transplant survival in patients with hepatocellular carcinoma.
[8]
K. Horiuchi, T. Kogiso, T. Sagawa, M. Taniai, Y. Kotera, H. Egawa, K. Tokushige.
Prevalence of fatty liver disease after liver transplantation and risk factors for recipients and donors.
[9]
J.A. Martínez, S. Pacheco, J.P. Bachler, N. Jarufe, E. Briceño, J.F. Guerra, C. Benítez, R. Wolff, F. Barrera, M. Arrese.
Accuracy of the BAR score in the prediction of survival after liver transplantation.
Ann Hepatol, 18 (2019), pp. 386-392
[10]
R. Diaz-Nieto, P. Lykoudis, F. Robertson, D. Sharma, K. Moore, M. Malago, B.R. Davidson.
A simple scoring model for predicting early graft failure and postoperative mortality after liver transplantation.
Ann Hepatol, 18 (2019), pp. 902-912
[11]
A.M. Costabeber, L.C. Lionço, C. Marroni, M.L. Zanotelli, G. Cantisani, A. Brandão.
D-MELD does not predict post-liver transplantation survival: a single-center experience from Brazil.
Ann Hepatol, 13 (2014), pp. 781-787
[12]
M. Fernández-de la Varga, Pozo-Del Del, P. Valle, S. Béjar-Serrano, R. López-Andújar, M. Berenguer, M. Prieto, E. Montalvá, V. Aguilera.
Good post-transplant outcomes using liver donors after circulatory death when applying strict selection criteria: a propensity-score matched-cohort study.
[13]
A.A.M. Al-Ameri, S. Zheng.
Outcomes of liver transplantation for hepatocellular carcinoma in donation after circulatory death compared with donation after brain death: a systematic review and meta-analysis.
Copyright © 2024. Fundación Clínica Médica Sur, A.C.
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