Evidence map›Paper›PMID 31054501›Full record

ArticleComputers in biology and medicine2019

KPDGUI: An interactive application for optimization and management of a virtual kidney paired donation program.

Mathieu Bray, Wen Wang, Michael A Rees, Peter X-K Song, Alan B Leichtman, Valarie B Ashby, John D Kalbfleisch

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Article in Computers in biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mathieu BrayUniversity 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.
Wen WangUniversity of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
Michael A ReesUniversity of Toledo Medical Center, Department of Urology, Toledo, OH, USA; Alliance for Paired Donation, Inc., Maumee, OH, USA.
Peter X-K SongUniversity of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
Alan B LeichtmanArbor Research Collaborative for Health, Ann Arbor, MI, USA.
Valarie B AshbyUniversity of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.
John D KalbfleischUniversity of Michigan, Department of Biostatistics, Ann Arbor, MI, USA; University of Michigan, Kidney Epidemiology and Cost Center, Ann Arbor, MI, USA.

Funding

Optimization and Simulation of Kidney Paired Donation ProgramsR01DK093513 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KALBFLEISCH, JOHN D, SONG, PETER XUEKUN · 2012 to 2020
$2.7M
NIDDK NIH HHS R01 DK093513
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe 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.

methodsWhile 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.

resultsWe 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.

conclusionsKPDGUI 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.

Indexed as

AlgorithmsKidneyKidney TransplantationSoftwareHumansFallback optionsKidney paired donationOptimizationSimulation modelsUser interfaces

Identifiers

PMID31054501
PMCPMC6538268

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.