Optimization of bimodal automated peritoneal dialysis prescription using the three-pore model

Abstract

Background: Previous studies suggested that automated peritoneal dialysis (APD) could be improved in terms of shorter treatment times and lower glucose absorption using bimodal treatment regimens, having ‘ultrafiltration (UF) cycles’ using a high glucose concentration and ‘clearance cycles’ using low or no glucose. The purpose of this study is to explore such regimes further using mathematical optimization techniques based on the three-pore model. Methods: A linear model with constraints is applied to find the shortest possible treatment time given a set of clinical treatment goals. For bimodal regimes, an exact analytical solution often exists which is herein used to construct optimal regimes giving the same Kt/ V urea and/or weekly creatinine clearance and UF as a 6 × 2 L 1.36% glucose regime and an ‘adapted’ (2 × 1.5 L 1.36% + 3 × 3 L 1.36%) regime. Results: Compared to the non-optimized (standard and adapted regimes), the optimized regimens demonstrated marked reductions (>40%) in glucose absorption while having an identical weekly creatinine clearance (35 L) and UF (0.5 L). Larger fill volumes of 1200 mL/m2 (UF cycles) and 1400 mL/m2 (clearance cycles) can be used to shorten the total treatment time. Conclusion: These theoretical results imply substantial improvements in glucose absorption using optimized APD regimens while achieving similar water and solute removal as non-optimized APD regimens. While the current results are based on a well-established theoretical model for peritoneal dialysis, experimental and clinical studies need to be performed to validate the current findings.