TY - JOUR
T1 - Computational modeling of peritoneal dialysis
T2 - An overview
AU - Swapnasrita, Sangita
AU - de Vries, Joost C.
AU - Öberg, Carl M.
AU - Carlier, Aurélie M.F.
AU - Gerritsen, Karin G.F.
N1 - Funding Information:
This work is supported by the partners of Regenerative Medicine Crossing Borders (RegMedXB), a public-private partnership that uses regenerative medicine strategies to cure common chronic diseases, by the Dutch Kidney Foundation and Dutch Ministry of Economic Affairs by means of the PPP Allowance made available by the Top Sector Life Sciences & Health to stimulate public-private partnerships (DKF project code PPS08), by a grant from the Dutch Kidney Foundation (22OK1018) and by the European Union (CORDIAL, Horizon 2020 research and innovation program, grant agreement no. 945207).
Publisher Copyright:
©2025 the Author(s)
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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.
AB - 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.
KW - mathematical modeling
KW - parameter determination
KW - peritoneal dialysis
KW - solute flux
KW - volume flux
U2 - 10.3934/mbe.2025017
DO - 10.3934/mbe.2025017
M3 - (Systematic) Review article
SN - 1547-1063
VL - 22
SP - 431
EP - 476
JO - Mathematical Biosciences and Engineering
JF - Mathematical Biosciences and Engineering
IS - 2
ER -