Literature DB >> 20677287

Six score systems to evaluate candidates with advanced cirrhosis for orthotopic liver transplant: Which is the winner?

Maurizio Biselli1, Stefano Gitto, Annagiulia Gramenzi, Roberto Di Donato, Lucia Brodosi, Matteo Ravaioli, Gian Luca Grazi, Antonio Daniele Pinna, Pietro Andreone, Mauro Bernardi.   

Abstract

Many prognostic systems have been devised to predict the outcome of liver transplantation (LT) candidates. Today, the Model for End-Stage Liver Disease (MELD) is widely used for organ allocation, but it has shown some limitations. The aim of this study was to investigate the performance of MELD compared to 5 different score models. We evaluated the prognostic ability of MELD, modified Child-Turcotte-Pugh, MELD-sodium, United Kingdom MELD, updated MELD, and integrated MELD in 487 candidates with cirrhosis for LT at the Bologna Transplant Centre, Bologna, Italy, between 2003 and 2008. Calibration analysis by Hosmer-Lemeshow test, calibration curves, and concordance c-statistics (area under the receiver operating characteristic curve [AUC]) were calculated at 3, 6, and 12 months. Actual cumulative survival curves, taking into account the event of interest in the presence of competing risk, were obtained using the best cutoffs identified by AUC. For each score, the Hosmer-Lemeshow test revealed a good calibration. Integrated MELD showed calibration curves closer to the line of perfect predicting ability, followed by MELD-sodium at 3 months and modified Child-Turcotte-Pugh at 6 months. MELD-sodium AUCs at 3 and 6 months (0.798 and 0.765, respectively) and integrated MELD AUC at 6 months (0.792) were better than standard MELD (P < 0.05). Actual survival curves showed that these 2 scores were able to identify the patients with the highest drop-out risk. In conclusion, MELD-sodium and integrated MELD were the best prognostic models to predict drop-out rates among patients awaiting LT. (c) 2010 AASLD.

Entities:  

Mesh:

Year:  2010        PMID: 20677287     DOI: 10.1002/lt.22093

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  13 in total

Review 1.  Prioritization for liver transplantation.

Authors:  Evangelos Cholongitas; Giacomo Germani; Andrew K Burroughs
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2010-11-02       Impact factor: 46.802

Review 2.  Model for end-stage liver disease: end of the first decade.

Authors:  Sumeet K Asrani; W Ray Kim
Journal:  Clin Liver Dis       Date:  2011-10-01       Impact factor: 6.126

3.  Accuracy of the Pediatric End-stage Liver Disease Score in Estimating Pretransplant Mortality Among Pediatric Liver Transplant Candidates.

Authors:  Chung-Chou H Chang; Cindy L Bryce; Benjamin L Shneider; Jonathan G Yabes; Yi Ren; Gabriel L Zenarosa; Heather Tomko; Drew M Donnell; Robert H Squires; Mark S Roberts
Journal:  JAMA Pediatr       Date:  2018-11-01       Impact factor: 16.193

4.  Is the Pediatric End-stage Liver Disease Score Truly a Detriment to Pediatric Liver Allocation?

Authors:  Nadim Mahmud; Melissa M Gadsden; David S Goldberg
Journal:  JAMA Pediatr       Date:  2018-11-01       Impact factor: 16.193

Review 5.  Hyponatremia in Patients with Cirrhosis of the Liver.

Authors:  Mauro Bernardi; Carmen Serena Ricci; Luca Santi
Journal:  J Clin Med       Date:  2014-12-31       Impact factor: 4.241

Review 6.  The evolution in the prioritization for liver transplantation.

Authors:  Evangelos Cholongitas; Andrew K Burroughs
Journal:  Ann Gastroenterol       Date:  2012

7.  Systemic vascular resistance in cirrhosis: a predictor of severity?

Authors:  Vinaya Gaduputi; Molham Abdulsamad; Sailaja Sakam; Naeem Abbas; Hassan Tariq; Ariyo Ihimoyan
Journal:  Hepat Med       Date:  2014-08-06

8.  A comprehensive validation of HBV-related acute-on-chronic liver failure models to assist decision-making in targeted therapeutics.

Authors:  Yi Shen; Xulin Wang; Sheng Zhang; Gang Qin; Yanmei Liu; Yihua Lu; Feng Liang; Xun Zhuang
Journal:  Sci Rep       Date:  2016-09-16       Impact factor: 4.379

9.  The model for end-stage liver disease score-based system predicts short term mortality better than the current Child-Turcotte-Pugh score-based allocation system during waiting for deceased liver transplantation.

Authors:  Geun Hong; Kwang-Woong Lee; Sukwon Suh; Tae Yoo; Hyeyoung Kim; Min-Su Park; Youngrok Choi; Nam-Joon Yi; Kyung-Suk Suh
Journal:  J Korean Med Sci       Date:  2013-07-31       Impact factor: 2.153

10.  Impact of MELD Allocation System on Waiting List and Early Post-Liver Transplant Mortality.

Authors:  Juan Jurado-García; María Muñoz García-Borruel; Manuel Luis Rodríguez-Perálvarez; Patricia Ruíz-Cuesta; Antonio Poyato-González; Pilar Barrera-Baena; Enrique Fraga-Rivas; Guadalupe Costán-Rodero; Javier Briceño-Delgado; José Luis Montero-Álvarez; Manuel de la Mata-García
Journal:  PLoS One       Date:  2016-06-14       Impact factor: 3.240

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