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Updated: May 23, 2026

An Open-Source Normothermic Perfusion System Designed for Research Scientists

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Published on: July 18, 2025

A model to predict optimal dialysate flow.

Ahmed Alayoud¹, Mohammed Benyahia, Dina Montassir

¹Service of Nephrology, Hemodialysis and Kidney Transplantation, Military Hospital of Instruction, Mohammed V, Rabat, Morocco. a_alayoud@yahoo.fr

Therapeutic Apheresis and Dialysis : Official Peer-Reviewed Journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy

|March 31, 2012

Summary

A new AutoFlow (AF) factor model optimizes hemodialysis by adjusting dialysate flow (Qd) to blood flow (Qb). This ensures adequate dialysis dose (Kt/V) while significantly reducing dialysate, water, and energy consumption for hemodialysis patients (HDP).

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Area of Science:

Nephrology
Biomedical Engineering
Renal Replacement Therapy

Background:

Dialysate flow (Qd) and blood flow (Qb) influence hemodialysis clearance.
Optimizing Qd can enhance dialysis efficiency and reduce resource use.
Existing methods may not dynamically adapt Qd to Qb effectively.

Purpose of the Study:

To introduce and validate a model for predicting an appropriate AutoFlow (AF) factor.
To assess the impact of the AF factor on delivered dialysis dose (Kt/V) in hemodialysis patients (HDP).
To evaluate the potential for resource savings (dialysate, water, energy) using the AF function.

Main Methods:

A predictive model for the AF factor (Ratio Qd/Qb) was developed.
In vivo study involving 33 stable HDP comparing three Qd settings: 700 mL/mn, 500 mL/mn, and AF.
Dialysis prescriptions (time, Qb, dialyzer) were kept constant across groups.

Main Results:

Increasing Qd beyond AF predictions had minimal impact on delivered dialysis dose.
Mean Kt/V values were similar across groups: 1.52 ± 0.16 (Qd 700), 1.50 ± 0.16 (Qd 500), and 1.49 ± 0.15 (AF).
The AF function demonstrated significant savings in dialysate fluid consumption.

Conclusions:

The AF model effectively predicts an appropriate Qd/Qb ratio for adequate dialysis.
AutoFlow function achieves sufficient dialysis dose while optimizing resource utilization.
This approach offers a cost-effective method to increase dialysis dose with minimal additional expense.