Literature DB >> 25788385

Application of the BAR score as a predictor of short- and long-term survival in liver transplantation patients.

Ivan Dias de Campos Junior1, Raquel Silveira Bello Stucchi, Elisabete Yoko Udo, Ilka de Fátima Santana Ferreira Boin.   

Abstract

BACKGROUND: The balance of risk (BAR) is a prediction system after liver transplantation.
METHODS: To assess the BAR system, a retrospective observational study was performed in 402 patients who had transplant surgery between 1997 and 2012. The BAR score was computed for each patient. Receiver operating characteristic curve analysis with the Hosmer-Lemeshow test was used to calculate sensitivity, specificity, and model calibration. The cutoff value with the best Youden index was selected. Statistical analysis employed the Kaplan-Meier method (log-rank test) for survival, the Mann-Whitney test for group comparison, and multiple logistic regression analysis.
RESULTS: 3-month survival was 46% for BAR ≥ 11 and 77% for BAR <11 (p = 0.001); 12-month survival was 44% for BAR ≥ 11 and 69% for BAR <11 (p = 0.001). Factors of survival <3 months were BAR ≥ 11 [odds ratio (OR) 3.08; 95% confidence interval (CI) 1.75-5.42; p = 0.001] and intrasurgical use of packed red blood cells (RBC) above 6 units (OR 4.49; 95% CI 2.73-7.39; p = 0.001). For survival <12 months, factors were BAR ≥ 11 (OR 2.94; 95% CI 1.67-5.16; p = 0.001) and RBC >6 units (OR 2.99; 95% CI 1.92-4.64; p = 0.001).
CONCLUSIONS: Our study contributes to the incorporation of the BAR system into Brazilian transplantation centers.

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Year:  2014        PMID: 25788385     DOI: 10.1007/s12072-014-9563-3

Source DB:  PubMed          Journal:  Hepatol Int        ISSN: 1936-0533            Impact factor:   6.047


  30 in total

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Authors:  M B Rocha; I F S F Boin; C A F Escanhoela; L S Leonardi
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Review 2.  Systematic review and validation of prognostic models in liver transplantation.

Authors:  Matthew Jacob; James D Lewsey; Carlos Sharpin; Alexander Gimson; Mohammed Rela; Jan H P van der Meulen
Journal:  Liver Transpl       Date:  2005-07       Impact factor: 5.799

3.  Impact of MELD on short-term and long-term outcome following liver transplantation: a European perspective.

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4.  Combination of extended donor criteria and changes in the Model for End-Stage Liver Disease score predict patient survival and primary dysfunction in liver transplantation: a retrospective analysis.

Authors:  Gerd R Silberhumer; Herwig Pokorny; Hubert Hetz; Harald Herkner; Susanne Rasoul-Rockenschaub; Thomas Soliman; Thomas Wekerle; Gabriela A Berlakovich; Rudolf Steininger; Ferdinand Muehlbacher
Journal:  Transplantation       Date:  2007-03-15       Impact factor: 4.939

5.  Expanded criteria donor grafts for deceased donor liver transplantation under the MELD system: a decision analysis.

Authors:  Manish G Amin; Michael P Wolf; John A TenBrook; Richard B Freeman; Steve J Cheng; Daniel S Pratt; John B Wong
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Review 6.  A model to predict survival in patients with end-stage liver disease.

Authors:  P S Kamath; R H Wiesner; M Malinchoc; W Kremers; T M Therneau; C L Kosberg; G D'Amico; E R Dickson; W R Kim
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7.  [Prognostic scores of cirrhosis].

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8.  Predicting outcome after liver transplantation: utility of the model for end-stage liver disease and a newly derived discrimination function.

Authors:  Niraj M Desai; Kevin C Mange; Michael D Crawford; Peter L Abt; Adam M Frank; Joseph W Markmann; Ergun Velidedeoglu; William C Chapman; James F Markmann
Journal:  Transplantation       Date:  2004-01-15       Impact factor: 4.939

9.  Intraoperative red blood cell transfusion in liver transplantation: influence on patient outcome, prediction of requirements, and measures to reduce them.

Authors:  Emilio Ramos; Antonia Dalmau; Antonio Sabate; Carmen Lama; Laura Llado; Juan Figueras; Eduardo Jaurrieta
Journal:  Liver Transpl       Date:  2003-12       Impact factor: 5.799

Review 10.  Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review.

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  5 in total

1.  Use of BAR score as predictor of short and long-term survival of liver transplantation patients.

Authors:  Chung-Mau Lo
Journal:  Hepatol Int       Date:  2014-10-31       Impact factor: 6.047

2.  Predictive Capacity of Risk Models in Liver Transplantation.

Authors:  Jacob D de Boer; Hein Putter; Joris J Blok; Ian P J Alwayn; Bart van Hoek; Andries E Braat
Journal:  Transplant Direct       Date:  2019-05-22

3.  BAR Score Performance in Predicting Survival after Living Donor Liver Transplantation: A Single-Center Retrospective Study.

Authors:  Talaat Zakareya; Mohammad Taha; Hassan Elzohry; Ehab Darwiesh; Reda Aglan; Mostafa Elhelbawy; Hazem Zakaria; Mohamed Deif; Mohamed Abbasy
Journal:  Can J Gastroenterol Hepatol       Date:  2022-02-18

4.  BAR, SOFT AND DRI POST-HEPATIC TRANSPLANTATION: WHAT IS THE BEST FOR SURVIVAL ANALYSIS?

Authors:  Fernando Torterolli; Rafael Katsunori Watanabe; Fernando Issamu Tabushi; Igor Luna Peixoto; Paulo Afonso Nunes Nassif; Nertan Luiz Tefilli; Sergio Luiz Rocha; Osvaldo Malafaia
Journal:  Arq Bras Cir Dig       Date:  2021-06-11

5.  The role of the comprehensive complication index for the prediction of survival after liver transplantation.

Authors:  Quirino Lai; Fabio Melandro; Greg Nowak; Daniele Nicolini; Samuele Iesari; Elisa Fasolo; Gianluca Mennini; Antonio Romano; Federico Mocchegiani; Kevin Ackenine; Marina Polacco; Laura Marinelli; Olga Ciccarelli; Giacomo Zanus; Marco Vivarelli; Umberto Cillo; Massimo Rossi; Bo-Göran Ericzon; Jan Lerut
Journal:  Updates Surg       Date:  2020-09-06
  5 in total

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