Literature DB >> 34481845

MELD 3.0: The Model for End-Stage Liver Disease Updated for the Modern Era.

W Ray Kim1, Ajitha Mannalithara2, Julie K Heimbach3, Patrick S Kamath3, Sumeet K Asrani4, Scott W Biggins5, Nicholas L Wood6, Sommer E Gentry6, Allison J Kwong2.   

Abstract

BACKGROUND & AIMS: The Model for End-Stage Liver Disease (MELD) has been established as a reliable indicator of short-term survival in patients with end-stage liver disease. The current version (MELDNa), consisting of the international normalized ratio and serum bilirubin, creatinine, and sodium, has been used to determine organ allocation priorities for liver transplantation in the United States. The objective was to optimize MELD further by taking into account additional variables and updating coefficients with contemporary data.
METHODS: All candidates registered on the liver transplant wait list in the US national registry from January 2016 through December 2018 were included. Uni- and multivariable Cox models were developed to predict survival up to 90 days after wait list registration. Model fit was tested using the concordance statistic (C-statistic) and reclassification, and the Liver Simulated Allocation Model was used to estimate the impact of replacing MELDNa with the new model.
RESULTS: The final multivariable model was characterized by (1) additional variables of female sex and serum albumin, (2) interactions between bilirubin and sodium and between albumin and creatinine, and (3) an upper bound for creatinine at 3.0 mg/dL. The final model (MELD 3.0) had better discrimination than MELDNa (C-statistic, 0.869 vs 0.862; P < .01). Importantly, MELD 3.0 correctly reclassified a net of 8.8% of decedents to a higher MELD tier, affording them a meaningfully higher chance of transplantation, particularly in women. In the Liver Simulated Allocation Model analysis, MELD 3.0 resulted in fewer wait list deaths compared to MELDNa (7788 vs 7850; P = .02).
CONCLUSION: MELD 3.0 affords more accurate mortality prediction in general than MELDNa and addresses determinants of wait list outcomes, including the sex disparity.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  End-Stage Liver Disease; Outcome Prediction; Wait List Mortality

Mesh:

Substances:

Year:  2021        PMID: 34481845      PMCID: PMC8608337          DOI: 10.1053/j.gastro.2021.08.050

Source DB:  PubMed          Journal:  Gastroenterology        ISSN: 0016-5085            Impact factor:   22.682


  20 in total

1.  Reduced Access to Liver Transplantation in Women: Role of Height, MELD Exception Scores, and Renal Function Underestimation.

Authors:  Alina M Allen; Julie K Heimbach; Joseph J Larson; Kristin C Mara; W Ray Kim; Patrick S Kamath; Terry M Therneau
Journal:  Transplantation       Date:  2018-10       Impact factor: 4.939

2.  The Impact of Albumin Use on Resolution of Hyponatremia in Hospitalized Patients With Cirrhosis.

Authors:  Jasmohan S Bajaj; Puneeta Tandon; Jacqueline G OʼLeary; Scott W Biggins; Florence Wong; Patrick S Kamath; Guadalupe Garcia-Tsao; Benedict Maliakkal; Jennifer C Lai; Michael Fallon; Paul Thuluvath; Hugo E Vargas; Ram M Subramanian; Leroy R Thacker; Rajender K Reddy
Journal:  Am J Gastroenterol       Date:  2018-06-08       Impact factor: 10.864

3.  The decreasing predictive power of MELD in an era of changing etiology of liver disease.

Authors:  Elizabeth L Godfrey; Tahir H Malik; Jennifer C Lai; Ayse L Mindikoglu; N Thao N Galván; Ronald T Cotton; Christine A O'Mahony; John A Goss; Abbas Rana
Journal:  Am J Transplant       Date:  2019-09-04       Impact factor: 8.086

Review 4.  Changes in united network for organ sharing policy for simultaneous liver-kidney allocation.

Authors:  Jonathan Merola; Richard N Formica; David C Mulligan
Journal:  Clin Liver Dis (Hoboken)       Date:  2017-02-03

5.  Hidden in Plain Sight - Reconsidering the Use of Race Correction in Clinical Algorithms.

Authors:  Darshali A Vyas; Leo G Eisenstein; David S Jones
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

6.  Inequity in organ allocation for patients awaiting liver transplantation: Rationale for uncapping the model for end-stage liver disease.

Authors:  Mitra K Nadim; Joseph DiNorcia; Lingyun Ji; Susan Groshen; Josh Levitsky; Randall S Sung; W Ray Kim; Kenneth Andreoni; David Mulligan; Yuri S Genyk
Journal:  J Hepatol       Date:  2017-05-05       Impact factor: 25.083

7.  Effects of Allocating Livers for Transplantation Based on Model for End-Stage Liver Disease-Sodium Scores on Patient Outcomes.

Authors:  Shunji Nagai; Lucy C Chau; Randolph E Schilke; Mohamed Safwan; Michael Rizzari; Kelly Collins; Atsushi Yoshida; Marwan S Abouljoud; Dilip Moonka
Journal:  Gastroenterology       Date:  2018-07-26       Impact factor: 22.682

8.  Quantifying Sex-Based Disparities in Liver Allocation.

Authors:  Jayme E Locke; Brittany A Shelton; Kim M Olthoff; Elizabeth A Pomfret; Kimberly A Forde; Deirdre Sawinski; Meagan Gray; Nancy L Ascher
Journal:  JAMA Surg       Date:  2020-07-15       Impact factor: 14.766

Review 9.  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
Journal:  Hepatology       Date:  2001-02       Impact factor: 17.425

10.  MELD-GRAIL-Na: Glomerular Filtration Rate and Mortality on Liver-Transplant Waiting List.

Authors:  Sumeet K Asrani; Linda W Jennings; W R Kim; Patrick S Kamath; Josh Levitsky; Mitra K Nadim; Giuliano Testa; Michael D Leise; James F Trotter; Goran Klintmalm
Journal:  Hepatology       Date:  2020-01-29       Impact factor: 17.425

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  10 in total

1.  The Evolution of the MELD Score and Its Implications in Liver Transplant Allocation: A Beginner's Guide for Trainees.

Authors:  Hirsh D Trivedi
Journal:  ACG Case Rep J       Date:  2022-05-04

2.  Analysis of the Dose-Response Relationship Between the International Normalized Ratio and Hepatic Encephalopathy in Patients With Liver Cirrhosis Using Restricted Cubic Spline Functions.

Authors:  Juntao Tan; Yuxin He; Zhanbiao Li; Qinghua Zhang; Yanzhi Yang; Qian Xu; Xiaomei Xu
Journal:  Front Public Health       Date:  2022-06-28

3.  Improving the Model for End-Stage Liver Disease with sodium by incorporating kidney dysfunction types.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Charles E McCulloch; Jennifer C Lai
Journal:  Hepatology       Date:  2022-03-31       Impact factor: 17.298

Review 4.  BCLC strategy for prognosis prediction and treatment recommendation: The 2022 update.

Authors:  Maria Reig; Alejandro Forner; Jordi Rimola; Joana Ferrer-Fàbrega; Marta Burrel; Ángeles Garcia-Criado; Robin K Kelley; Peter R Galle; Vincenzo Mazzaferro; Riad Salem; Bruno Sangro; Amit G Singal; Arndt Vogel; Josep Fuster; Carmen Ayuso; Jordi Bruix
Journal:  J Hepatol       Date:  2021-11-19       Impact factor: 30.083

5.  MELD-GRAIL and MELD-GRAIL-Na Are Not Superior to MELD or MELD-Na in Predicting Liver Transplant Waiting List Mortality at a Single-center Level.

Authors:  John D Chetwood; Mark G Wells; Tatiana Tsoutsman; Carlo Pulitano; Michael D Crawford; Ken Liu; Simone I Strasser; Geoffrey W McCaughan; Avik Majumdar
Journal:  Transplant Direct       Date:  2022-06-10

6.  Platelet-to-White Blood Cell Ratio Is Associated with Adverse Outcomes in Cirrhotic Patients with Acute Deterioration.

Authors:  Jung-Hee Kim; Sung-Eun Kim; Do-Seon Song; Hee-Yeon Kim; Eileen L Yoon; Tae-Hyung Kim; Young-Kul Jung; Ki-Tae Suk; Baek-Gyu Jun; Hyung-Joon Yim; Jung-Hyun Kwon; Sung-Won Lee; Seong-Hee Kang; Moon-Young Kim; Soung-Won Jeong; Jae-Young Jang; Jeong-Ju Yoo; Sang-Gyune Kim; Young-Joo Jin; Gab-Jin Cheon; Byung-Seok Kim; Yeon-Seok Seo; Hyung-Su Kim; Dong-Hyun Sinn; Woo-Jin Chung; Hwi-Young Kim; Han-Ah Lee; Seung-Woo Nam; In-Hee Kim; Jung-Il Suh; Ji-Hoon Kim; Hee-Bok Chae; Joo-Hyun Sohn; Ju-Yeon Cho; Yoon-Jun Kim; Jin-Mo Yang; Jung-Gil Park; Won Kim; Hyun-Chin Cho; Dong-Joon Kim
Journal:  J Clin Med       Date:  2022-04-27       Impact factor: 4.964

7.  Accurate long-term prediction of death for patients with cirrhosis.

Authors:  David Goldberg; Alejandro Mantero; David Kaplan; Cindy Delgado; Binu John; Nadine Nuchovich; Ezekiel Emanuel; Peter P Reese
Journal:  Hepatology       Date:  2022-04-01       Impact factor: 17.298

8.  Hypoalbuminemia Is a Hepatocellular Carcinoma Independent Risk Factor for Tumor Progression in Low-Risk Bridge to Transplant Candidates.

Authors:  Kelley G Núñez; Tyler Sandow; Jai Patel; Mina Hibino; Daniel Fort; Ari J Cohen; Paul Thevenot
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

9.  Disparities in the Effects of Acuity Circle-based Liver Allocation on Waitlist and Transplant Practice Between Centers.

Authors:  Shunji Nagai; Tommy Ivanics; Toshihiro Kitajima; Shingo Shimada; Tayseer M Shamaa; Kelly Collins; Michael Rizzari; Atsushi Yoshida; Dilip Moonka; Marwan Abouljoud
Journal:  Transplant Direct       Date:  2022-09-26

10.  Building a Utility-based Liver Allocation Model in Preparation for Continuous Distribution.

Authors:  Catherine E Kling; James D Perkins; Scott W Biggins; Anji E Wall; Jorge D Reyes
Journal:  Transplant Direct       Date:  2022-01-13
  10 in total

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