Data and optimisation requirements for Kidney Exchange Programs

Bart M.L. Smeulders; William Pettersson; Ana Viana; Tommy Andersson; Catarina Bolotinha; Pavel Chromy; Margherita Gentile; Karine Hadaya; Aline  Hemke; Xenia Klimentova; Dirk Kuypers; David  Manlove; Matthew Robb; Antonij  Slavcev; Paolo Tubertini; María O. Valentín; Joris van de Klundert; Paolo Ferrari

doi:10.1177/14604582211009918

Data and optimisation requirements for Kidney Exchange Programs

Bart M.L. Smeulders (Corresponding author), William Pettersson, Ana Viana, Tommy Andersson, Catarina Bolotinha, Pavel Chromy, Margherita Gentile, Karine Hadaya, Aline Hemke, Xenia Klimentova, Dirk Kuypers, David Manlove, Matthew Robb, Antonij Slavcev, Paolo Tubertini, María O. Valentín, Joris van de Klundert, Paolo Ferrari

Combinatorial Optimization

Research output: Contribution to journal › Article › Academic › peer-review

4 Citations (Scopus)

Abstract

Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood group and Human Leukocyte Antigen (HLA) types and HLA antibodies are crucial in order to maximise the number of identified matched pairs while minimising the risk of match failures due to unanticipated positive crossmatches. Based on a survey of eight national and one transnational kidney exchange program, we discuss data requirements for running a KEP. We note large variations in the data recorded by different KEPs, reflecting varying medical practices. Furthermore, we describe how the information system supports decision making throughout these kidney exchange programs.

Original language	English
Pages (from-to)	1-15
Number of pages	15
Journal	Health Informatics Journal
Volume	27
Issue number	2
DOIs	https://doi.org/10.1177/14604582211009918
Publication status	Published - 1 Apr 2021

Funding

KEPs have been established in many countries and successfully enable large numbers of additional LDKTs. Due to the success of these KEPs, many countries are in the early stages of starting their own KEP. This is a challenging endeavour, which can be made easier by learning from established KEPs. Through the Cooperation on Science and Technology (COST) Fund, the European Union is funding collaboration and mutual learning on KEP, specifically through the European Network for Collaboration on KEPs COST action (ENCKEP). The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This article is based upon work from the ENCKEP COST Action (CA15210), supported by COST (European Cooperation in Science and Technology). The authors acknowledge travel reimbursements by COST. Financial support from the School of Computing Science, University of Glasgow, for the article processing charges, is also gratefully acknowledged.

Funders
University of Glasgow
European Commission
European Cooperation in Science and Technology (COST)

Keywords

data requirements
information SYSTEMS
Kidney Exchange Programs

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/14604582211009918

Cite this

Smeulders, B. M. L., Pettersson, W., Viana, A., Andersson, T., Bolotinha, C., Chromy, P., Gentile, M., Hadaya, K., Hemke, A., Klimentova, X., Kuypers, D., Manlove, D., Robb, M., Slavcev, A., Tubertini, P., Valentín, M. O., van de Klundert, J., & Ferrari, P. (2021). Data and optimisation requirements for Kidney Exchange Programs. Health Informatics Journal, 27(2), 1-15. https://doi.org/10.1177/14604582211009918

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abstract = "Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood group and Human Leukocyte Antigen (HLA) types and HLA antibodies are crucial in order to maximise the number of identified matched pairs while minimising the risk of match failures due to unanticipated positive crossmatches. Based on a survey of eight national and one transnational kidney exchange program, we discuss data requirements for running a KEP. We note large variations in the data recorded by different KEPs, reflecting varying medical practices. Furthermore, we describe how the information system supports decision making throughout these kidney exchange programs.",

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Smeulders, BML, Pettersson, W, Viana, A, Andersson, T, Bolotinha, C, Chromy, P, Gentile, M, Hadaya, K, Hemke, A, Klimentova, X, Kuypers, D, Manlove, D, Robb, M, Slavcev, A, Tubertini, P, Valentín, MO, van de Klundert, J & Ferrari, P 2021, 'Data and optimisation requirements for Kidney Exchange Programs', Health Informatics Journal, vol. 27, no. 2, pp. 1-15. https://doi.org/10.1177/14604582211009918

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AU - Pettersson, William

AU - Viana, Ana

AU - Andersson, Tommy

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AU - Chromy, Pavel

AU - Gentile, Margherita

AU - Hadaya, Karine

AU - Hemke, Aline

AU - Klimentova, Xenia

AU - Kuypers, Dirk

AU - Manlove, David

AU - Robb, Matthew

AU - Slavcev, Antonij

AU - Tubertini, Paolo

AU - Valentín, María O.

AU - van de Klundert, Joris

AU - Ferrari, Paolo

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Data and optimisation requirements for Kidney Exchange Programs

Abstract

Funding

Keywords

UN SDGs

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