Rapid prototyping of multi-compartment models for urea kinetics in hemodialysis: a System Dynamics approach
David M. Rubin, Robyn F. R. Letts, Xriz L. Richards, Shamin Achari, Adam Pantanowitz

TL;DR
This paper shows how System Dynamics can be used to create accessible and effective multi-compartment models for understanding urea kinetics in hemodialysis.
Contribution
The paper introduces a System Dynamics approach for modeling urea kinetics that is intuitive, efficient, and accessible to practitioners.
Findings
The System Dynamics model performs as well as a more complex volume-average model in fitting clinical data.
The model is intuitive and easy to modify, making hemodialysis modeling more accessible.
System Dynamics can be a valuable tool for urea kinetics modeling in clinical settings.
Abstract
Models of urea kinetics facilitate a mechanistic understanding of urea transfer and provide a tool for optimizing dialysis efficacy. Dual-compartment models have largely replaced single-compartment models as they are able to accommodate the urea rebound on the cessation of dialysis. Modeling the kinetics of urea and other molecular species is frequently regarded as a rarefied academic exercise with little relevance at the bedside. We demonstrate the utility of System Dynamics in creating multi-compartment models of urea kinetics by developing a dual-compartment model that is efficient, intuitive, and widely accessible to a range of practitioners. Notwithstanding its simplicity, we show that the System Dynamics model compares favorably with the performance of a more complex volume-average model in terms of calibration to clinical data and parameter estimation. Its intuitive nature, ease…
Click any figure to enlarge with its caption.
Figure 1
Figure 2Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDialysis and Renal Disease Management · Acute Kidney Injury Research · Chronic Kidney Disease and Diabetes
