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MELD 3.0: The Model for End-Stage Liver Disease Updated for the Modern Era.
Kim, W Ray; Mannalithara, Ajitha; Heimbach, Julie K; Kamath, Patrick S; Asrani, Sumeet K; Biggins, Scott W; Wood, Nicholas L; Gentry, Sommer E; Kwong, Allison J.
Afiliação
  • Kim WR; Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California. Electronic address: wrkim@stanford.edu.
  • Mannalithara A; Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California.
  • Heimbach JK; Transplant Center, Mayo Clinic, Rochester, Minnesota.
  • Kamath PS; Transplant Center, Mayo Clinic, Rochester, Minnesota.
  • Asrani SK; Baylor University Medical Center, Dallas, Texas.
  • Biggins SW; University of Washington, Seattle, Washington.
  • Wood NL; Department of Mathematics, United States Naval Academy, Annapolis, Maryland.
  • Gentry SE; Department of Mathematics, United States Naval Academy, Annapolis, Maryland.
  • Kwong AJ; Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California.
Gastroenterology ; 161(6): 1887-1895.e4, 2021 12.
Article em En | MEDLINE | ID: mdl-34481845
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Listas de Espera / Técnicas de Apoio para a Decisão / Transplante de Fígado / Doença Hepática Terminal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Listas de Espera / Técnicas de Apoio para a Decisão / Transplante de Fígado / Doença Hepática Terminal Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article