Literature DB >> 29661433

Better Selection Criteria With Prognostic Factors for Liver Transplantation.

L S Nacif1, R S Pinheiro2, V Rocha-Santos2, V M Barbosa2, A P de Moura Dias2, R B Martino2, R A Macedo2, L Ducatti2, L Haddad2, F Galvão2, W Andraus2, L Carneiro D' Albuquerque2.   

Abstract

BACKGROUND: Liver transplantation has evolved significantly in recent years, with each advancement part of the effort toward increasing patient and graft survival as well as quality of life. The objective of this study was to evaluate the prognostic factors and selection criteria for liver transplantation.
METHODS: Our study was a statistical analysis, logistic regression, and survival evaluation of a total of 80 liver transplants that were performed between June 1, 2016 and September 24, 2016. Recipient factors evaluated included age, retransplantation, hemodialysis, cardiac risk, portal vein thrombosis, hospitalization, fulminant hepatitis, previous surgery, renal failure, and Model for End-stage Liver Disease (MELD) score. Donor factors included age, cardiac arrest, acidosis, days in the intensive care unit, steatosis, and vasoactive drug use.
RESULTS: Of the 80 patients transplanted, 65 deceased donor liver transplants (DDLTs) and 15 living donor liver transplants (LDLTs) were performed. LDLT overall 1-year patient survival was 77.5% and graft survival 75%, and DDLT overall patient survival was 89.23% and graft survival was 86.15%. On evaluated score criteria analyzed we observed a significant score on recipient (P = .01) and not significant on donor (P =.45). Isolated factors evaluated included recipient age (relative risk [RR] 3.15, 95% confidence interval [CI] 0.89 to 11.09; P = .074), retransplant (RR 4.22, 95% CI 1.36 to 13.1; P = .013), and hemodialysis (RR 4.23, 95% CI 1.45 to 12.31, P = .008). On donor evaluation, we observed moderate and severe steatosis (RR 3.8, 95% CI 0.86 to 16.62; P = .06).
CONCLUSION: In conclusion, we demonstrate a relevant model of criteria selection of liver transplant patients that is able to make a better match between the donor and recipient allocation for a better graft and patient survival.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29661433     DOI: 10.1016/j.transproceed.2018.02.057

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  2 in total

1.  Model for establishing a new liver transplantation center through mentorship from a university with transplantation expertise.

Authors:  Rafael Soares Pinheiro; Wellington Andraus; Fernando Gomes Romeiro; Rodrigo Bronze de Martino; Liliana Ducatti; Rubens Macedo Arantes; Leonardo Pelafsky; Claudia Nishida Hasimoto; Fabio da Silva Yamashiro; Lucas Souto Nacif; Luciana Bertocco de Paiva Haddad; Vinicius Rocha Santos; Daniel Reis Waisberg; Matheus Fachini Vane; Joel Avancini Rocha-Filho; Walmar Kerche de Oliveira; Luiz Augusto Carneiro-D'Albuquerque
Journal:  PLoS One       Date:  2022-03-30       Impact factor: 3.240

2.  Clinical Validation of a Novel Scoring System Based on Donor and Recipient Risk Factors for Predicting Outcomes in Liver Transplantation.

Authors:  Lucas Souto Nacif; Daniel Reis Waisberg; Leonardo Yuri Zanini; Rafael Soares Pinheiro; Vinicius Rocha-Santos; Rubens Arantes Macedo; Liliana Ducatti; Luciana Haddad; Rodrigo Bronze de Martino; Flávio Galvão; Wellington Andraus; Luiz Carneiro-D'Albuquerque
Journal:  Ann Transplant       Date:  2022-08-30       Impact factor: 1.479

  2 in total

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