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KPDGUI: An interactive application for optimization and management of a virtual kidney paired donation program.
Bray, Mathieu; Wang, Wen; Rees, Michael A; Song, Peter X-K; Leichtman, Alan B; Ashby, Valarie B; Kalbfleisch, John D.
  • Bray M; University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA. Electronic address: braymath@umich.edu.
  • Wang W; University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
  • Rees MA; University of Toledo Medical Center, Department of Urology, Toledo, OH, USA; Alliance for Paired Donation, Inc., Maumee, OH, USA.
  • Song PX; University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
  • Leichtman AB; Arbor Research Collaborative for Health, Ann Arbor, MI, USA.
  • Ashby VB; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
  • Kalbfleisch JD; University of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
Comput Biol Med ; 108: 345-353, 2019 05.
Article en En | MEDLINE | ID: mdl-31054501
ABSTRACT
BACKGROUND AND

OBJECTIVES:

The aim in kidney paired donation (KPD) is typically to maximize the number of transplants achieved through the exchange of donors in a pool comprising incompatible donor-candidate pairs and non-directed (or altruistic) donors. With many possible options in a KPD pool at any given time, the most appropriate set of exchanges cannot be determined by simple inspection. In practice, computer algorithms are used to determine the optimal set of exchanges to pursue. Here, we present our software application, KPDGUI (Kidney Paired Donation Graphical User Interface), for management and optimization of KPD programs.

METHODS:

While proprietary software platforms for managing KPD programs exist to provide solutions to the standard KPD problem, our application implements newly investigated optimization criteria that account for uncertainty regarding the viability of selected transplants and arrange for fallback options in cases where potential exchanges cannot proceed, with intuitive resources for visualizing alternative optimization solutions.

RESULTS:

We illustrate the advantage of accounting for uncertainty and arranging for fallback options in KPD using our application through a case study involving real data from a paired donation program, comparing solutions produced under different optimization criteria and algorithmic priorities.

CONCLUSIONS:

KPDGUI is a flexible and powerful tool for offering decision support to clinicians and researchers on possible KPD transplant options to pursue under different user-specified optimization schemes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / Trasplante de Riñón / Riñón Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Algoritmos / Programas Informáticos / Trasplante de Riñón / Riñón Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2019 Tipo del documento: Article