Computational modeling of peritoneal dialysis: An overview

Area of Science:

• Nephrology
• Biomedical Engineering
• Computational Modeling

Background:

• Peritoneal dialysis (PD) is a vital kidney replacement therapy for end-stage renal disease (ESRD).
• Growing interest in home dialysis has increased PD utilization.
• PD effectiveness relies on complex physiological and technical factors.

Purpose of the Study:

• To review the evolution of computational models for PD.
• To discuss the underlying principles of these models, including solute transport, fluid dynamics, and peritoneal membrane properties.
• To explore how PD models can optimize and personalize patient treatment.

Main Methods:

• Literature review of computational PD models.
• Analysis of transport kinetics, fluid dynamics, and membrane properties.
• Synthesis of existing models for clinical and research applications.

Main Results:

• Computational models have evolved significantly to understand PD.
• Key principles include solute kinetics, fluid dynamics, and membrane characteristics.
• Various models exist to optimize and personalize PD therapy.

Conclusions:

• Mathematical modeling is crucial for understanding and predicting PD outcomes.
• Models can guide current practice and future innovations like continuous flow PD.
• Patient-specific modeling offers an effective approach for novel PD technique design.