Optimal Acceptance of Incompatible Kidneys Article Swipe
Xingyu Ren
,
Michael C. Fu
,
Steven I. Marcus
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2212.01808
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2212.01808
Incompatibility between patient and donor is a major barrier in kidney transplantation (KT). The increasing shortage of kidney donors has driven the development of desensitization techniques to overcome this immunological challenge. Compared with compatible KT, patients undergoing incompatible KTs are more likely to experience rejection, infection, malignancy, and graft loss. We study the optimal acceptance of possibly incompatible kidneys for individual end-stage kidney disease patients. To capture the effect of incompatibility, we propose a Markov Decision Process (MDP) model that explicitly includes compatibility as a state variable. The resulting higher-dimensional model makes it more challenging to analyze, but under suitable conditions, we derive structural properties including control limit-type optimal policies that are easy to compute and implement. Numerical examples illustrate the behavior of the optimal policy under different mismatch levels and highlight the importance of explicitly incorporating the incompatibility level into the acceptance decision when desensitization therapy is an option.
Related Topics
Concepts
Economic shortage
Desensitization (medicine)
Malignancy
Markov decision process
Kidney transplantation
Medicine
Mathematical optimization
Computer science
Kidney transplant
Transplantation
Intensive care medicine
Risk analysis (engineering)
Mathematics
Markov process
Surgery
Internal medicine
Statistics
Government (linguistics)
Linguistics
Receptor
Philosophy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2212.01808
- https://arxiv.org/pdf/2212.01808
- OA Status
- green
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310825259
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4310825259Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2212.01808Digital Object Identifier
- Title
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Optimal Acceptance of Incompatible KidneysWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-04Full publication date if available
- Authors
-
Xingyu Ren, Michael C. Fu, Steven I. MarcusList of authors in order
- Landing page
-
https://arxiv.org/abs/2212.01808Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2212.01808Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2212.01808Direct OA link when available
- Concepts
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Economic shortage, Desensitization (medicine), Malignancy, Markov decision process, Kidney transplantation, Medicine, Mathematical optimization, Computer science, Kidney transplant, Transplantation, Intensive care medicine, Risk analysis (engineering), Mathematics, Markov process, Surgery, Internal medicine, Statistics, Government (linguistics), Linguistics, Receptor, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Compared | 31 |
| abstract_inverted_index.Decision | 75 |
| abstract_inverted_index.analyze, | 96 |
| abstract_inverted_index.behavior | 121 |
| abstract_inverted_index.decision | 143 |
| abstract_inverted_index.examples | 118 |
| abstract_inverted_index.includes | 81 |
| abstract_inverted_index.mismatch | 128 |
| abstract_inverted_index.overcome | 27 |
| abstract_inverted_index.patients | 35 |
| abstract_inverted_index.policies | 109 |
| abstract_inverted_index.possibly | 56 |
| abstract_inverted_index.shortage | 15 |
| abstract_inverted_index.suitable | 99 |
| abstract_inverted_index.Numerical | 117 |
| abstract_inverted_index.different | 127 |
| abstract_inverted_index.end-stage | 61 |
| abstract_inverted_index.highlight | 131 |
| abstract_inverted_index.including | 105 |
| abstract_inverted_index.patients. | 64 |
| abstract_inverted_index.resulting | 88 |
| abstract_inverted_index.variable. | 86 |
| abstract_inverted_index.acceptance | 54, 142 |
| abstract_inverted_index.challenge. | 30 |
| abstract_inverted_index.compatible | 33 |
| abstract_inverted_index.experience | 43 |
| abstract_inverted_index.explicitly | 80, 135 |
| abstract_inverted_index.illustrate | 119 |
| abstract_inverted_index.implement. | 116 |
| abstract_inverted_index.importance | 133 |
| abstract_inverted_index.increasing | 14 |
| abstract_inverted_index.individual | 60 |
| abstract_inverted_index.infection, | 45 |
| abstract_inverted_index.limit-type | 107 |
| abstract_inverted_index.properties | 104 |
| abstract_inverted_index.rejection, | 44 |
| abstract_inverted_index.structural | 103 |
| abstract_inverted_index.techniques | 25 |
| abstract_inverted_index.undergoing | 36 |
| abstract_inverted_index.challenging | 94 |
| abstract_inverted_index.conditions, | 100 |
| abstract_inverted_index.development | 22 |
| abstract_inverted_index.malignancy, | 46 |
| abstract_inverted_index.incompatible | 37, 57 |
| abstract_inverted_index.compatibility | 82 |
| abstract_inverted_index.immunological | 29 |
| abstract_inverted_index.incorporating | 136 |
| abstract_inverted_index.Incompatibility | 0 |
| abstract_inverted_index.desensitization | 24, 145 |
| abstract_inverted_index.incompatibility | 138 |
| abstract_inverted_index.transplantation | 11 |
| abstract_inverted_index.incompatibility, | 70 |
| abstract_inverted_index.higher-dimensional | 89 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.62879323 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |