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CC BY V4.0, Open Access
Journal article
simKAP: simulation framework for the kidney allocation process with decision making model
Scientific reports, Vol.13(1), 16367
2023
PMID: 37773250
Abstract
Organ shortage is a major barrier in transplantation and rules guarding organ allocation decisions should be robust, transparent, ethical and fair. Whilst numerous allocation strategies have been proposed, it is often unrealistic to evaluate all of them in real-life settings. Hence, the capability of conducting simulations prior to deployment is important. Here, we developed a kidney allocation simulation framework (simKAP) that aims to evaluate the allocation process and the complex clinical decision-making process of organ acceptance in kidney transplantation. Our findings have shown that incorporation of both the clinical decision-making and a dynamic wait-listing process resulted in the best agreement between the actual and simulated data in almost all scenarios. Additionally, several hypothetical risk-based allocation strategies were generated, and we found that these strategies improved recipients' long-term post-transplant patient survival and reduced wait time for transplantation. The importance of simKAP lies in its ability for policymakers in any transplant community to evaluate any proposed allocation algorithm using in-silico simulation.
Details
- Title
- simKAP: simulation framework for the kidney allocation process with decision making model
- Authors/Creators
- Yunwei ZhangAnne Hu - The University of SydneyYingxin Lin - The University of SydneyYue Cao - The University of SydneySamuel Muller - The University of SydneyGermaine Wong - The University of SydneyJean Yee Hwa Yang - The University of Sydney
- Publication Details
- Scientific reports, Vol.13(1), 16367
- Publisher
- NATURE PORTFOLIO; BERLIN
- Number of pages
- 9
- Grant note
The authors thank all their colleagues, particularly at The University of Sydney, Sydney Precision Bioinformatics Alliance and Charles Perkins Centre for their support and intellectual engagement.
- Identifiers
- 991005707667507891
- Copyright
- © The Author(s) 2023
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.157 Organ Donation & Transplantation
- 1.157.504 Transplant Immunosuppression
- Web Of Science research areas
- Transplantation
- ESI research areas
- Clinical Medicine