Computational modeling of peritoneal dialysis : An overview
(2025) In Mathematical Biosciences and Engineering 22(2). p.431-476- Abstract
Peritoneal dialysis (PD) is a kidney replacement therapy for patients with end-stage renal disease. It is becoming more popular as a result of a rising interest in home dialysis. Its effectiveness depends on several physiological and technical factors, which have led to the development of various computational models to better understand and predict PD outcomes. In this review, we traced the evolution of computational PD models, discussed the principles underlying these models, including the transport kinetics of solutes, the fluid dynamics within the peritoneal cavity, and the peritoneal membrane properties, and reviewed the various PD models that can be used to optimize and personalize PD treatment. By providing a comprehensive... (More)
Peritoneal dialysis (PD) is a kidney replacement therapy for patients with end-stage renal disease. It is becoming more popular as a result of a rising interest in home dialysis. Its effectiveness depends on several physiological and technical factors, which have led to the development of various computational models to better understand and predict PD outcomes. In this review, we traced the evolution of computational PD models, discussed the principles underlying these models, including the transport kinetics of solutes, the fluid dynamics within the peritoneal cavity, and the peritoneal membrane properties, and reviewed the various PD models that can be used to optimize and personalize PD treatment. By providing a comprehensive overview, we aim to guide both current clinical practice and future research into novel PD techniques such as the application of continuous flow and sorbent-based dialysate regeneration where mathematical modeling may offer an inexpensive and effective tool to optimize design of these novel techniques at a patient specific level.
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- author
- Swapnasrita, Sangita ; de Vries, Joost C. ; Öberg, Carl M. LU ; Carlier, Aurélie M.F. and Gerritsen, Karin G.F.
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- mathematical modeling, parameter determination, peritoneal dialysis, solute flux, volume flux
- in
- Mathematical Biosciences and Engineering
- volume
- 22
- issue
- 2
- pages
- 46 pages
- publisher
- American Institute of Mathematical Sciences
- external identifiers
-
- scopus:85218628653
- pmid:40083302
- ISSN
- 1547-1063
- DOI
- 10.3934/mbe.2025017
- language
- English
- LU publication?
- yes
- id
- 94602ffd-6b7e-477c-adde-b06cf1281935
- date added to LUP
- 2025-07-01 09:56:33
- date last changed
- 2025-07-01 09:57:52
@article{94602ffd-6b7e-477c-adde-b06cf1281935,
abstract = {{<p>Peritoneal dialysis (PD) is a kidney replacement therapy for patients with end-stage renal disease. It is becoming more popular as a result of a rising interest in home dialysis. Its effectiveness depends on several physiological and technical factors, which have led to the development of various computational models to better understand and predict PD outcomes. In this review, we traced the evolution of computational PD models, discussed the principles underlying these models, including the transport kinetics of solutes, the fluid dynamics within the peritoneal cavity, and the peritoneal membrane properties, and reviewed the various PD models that can be used to optimize and personalize PD treatment. By providing a comprehensive overview, we aim to guide both current clinical practice and future research into novel PD techniques such as the application of continuous flow and sorbent-based dialysate regeneration where mathematical modeling may offer an inexpensive and effective tool to optimize design of these novel techniques at a patient specific level.</p>}},
author = {{Swapnasrita, Sangita and de Vries, Joost C. and Öberg, Carl M. and Carlier, Aurélie M.F. and Gerritsen, Karin G.F.}},
issn = {{1547-1063}},
keywords = {{mathematical modeling; parameter determination; peritoneal dialysis; solute flux; volume flux}},
language = {{eng}},
number = {{2}},
pages = {{431--476}},
publisher = {{American Institute of Mathematical Sciences}},
series = {{Mathematical Biosciences and Engineering}},
title = {{Computational modeling of peritoneal dialysis : An overview}},
url = {{http://dx.doi.org/10.3934/mbe.2025017}},
doi = {{10.3934/mbe.2025017}},
volume = {{22}},
year = {{2025}},
}