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Directed solutions to address differences in access to liver transplantation.
Ye, Fei; Sheng, Quanhu; Feurer, Irene D; Zhao, Zhiguo; Fan, Run; Teng, Jing; Ping, Jie; Rega, Scott A; Hanto, Douglas W; Shyr, Yu; Karp, Seth J.
  • Ye F; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Sheng Q; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Feurer ID; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Zhao Z; Department of Surgery and the Transplant Center, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Fan R; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Teng J; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Ping J; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Rega SA; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Hanto DW; Department of Surgery and the Transplant Center, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Shyr Y; Department of Surgery, Veterans Affairs St. Louis Health Care System, Saint Louis, MO, USA.
  • Karp SJ; Center for Quantitative Sciences and Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Am J Transplant ; 18(11): 2670-2678, 2018 11.
Article en En | MEDLINE | ID: mdl-29689125
ABSTRACT
The United Network for Organ Sharing recently altered current liver allocation with the goal of decreasing Model for End-Stage Liver Disease (MELD) variance at transplant. Concerns over these and further planned revisions to policy include predicted decrease in total transplants, increased flying and logistical complexity, adverse impact on areas with poor quality health care, and minimal effect on high MELD donor service areas. To address these issues, we describe general approaches to equalize critical transplant metrics among regions and determine how they alter MELD variance at transplant and organ supply to underserved communities. We show an allocation system that increases minimum MELD for local allocation or preferentially directs organs into areas of need decreases MELD variance. Both models have minimal adverse effects on flying and total transplants, and do not disproportionately disadvantage already underserved communities. When combined together, these approaches decrease MELD variance by 28%, more than the recently adopted proposal. These models can be adapted for any measure of variance, can be combined with other proposals, and can be configured to automatically adjust to changes in disease incidence as is occurring with hepatitis C and nonalcoholic fatty liver disease.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Donantes de Tejidos / Asignación de Recursos para la Atención de Salud / Trasplante de Hígado / Selección de Paciente / Evaluación de Necesidades / Asignación de Recursos / Enfermedad Hepática en Estado Terminal Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Donantes de Tejidos / Asignación de Recursos para la Atención de Salud / Trasplante de Hígado / Selección de Paciente / Evaluación de Necesidades / Asignación de Recursos / Enfermedad Hepática en Estado Terminal Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Año: 2018 Tipo del documento: Article