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Abstract: TH-PO1214

Uremic Toxin Kinetics to Optimize and Personalize Hemodialysis Prescription for Children

Session Information

Category: Pediatric Nephrology

  • 1800 Pediatric Nephrology

Authors

  • Eloot, Sunny, Department of Nephrology, Ghent University Hospital, Gent, Belgium
  • Ghysels, An, Institute of Biomedical Engineering, Ghent University, Gent, Belgium
  • Collard, Laure, Department of Pediatric Nephrology, CHC Liège, Liege, Belgium
  • Adams, Brigitte, Department of Pediatric Nephrology, University Hospital Leuven, Leuven, Belgium
  • Chiodini, Benedetta, Department of Pediatric Nephrology, Hôpital Universitaire des Enfants Reine Fabiola, Brussels, Belgium
  • Shroff, Rukshana, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
  • Glorieux, Griet Lrl, Department of Nephrology, Ghent University Hospital, Gent, Belgium
  • Van Biesen, Wim, Department of Nephrology, Ghent University Hospital, Gent, Belgium
  • Raes, Ann, Department of Pediatric Nephrology, Ghent University Hospital, Gent, Belgium
  • Snauwaert, Evelien, Department of Pediatric Nephrology, Ghent University Hospital, Gent, Belgium
Background

Children on hemodialysis (HD) accumulate a broad spectrum of uremic toxins (UTs), of which urea is commonly applied as adequacy marker. Urea kinetics are however not representative for the overall removal of UTs. In the absence of pediatric data, we investigated the kinetics of multiple UTs across a wide pediatric age range to better characterize their removal during HD.

Methods

This multicentric study included 24 stable patients (age 3.5-17.9y) undergoing 3x/week 3-4h HD. Blood samples were collected from the dialyzer blood inlet and outlet, and dialysate outlet at different time points during HD. Concentrations were determined for the small water soluble UTs urea and creatinine (Crea), middle molecule beta-2-microglobulin (B2M), and protein-bound UTs p-cresylglucuronide (PCG), hippuric acid (HA), indole acetic acid (IAA), indoxyl sulfate (IS), and p-cresylsulfate (PCS). Reduction rate (RR), dialyzer clearance (KD), and protein binding (%PB) were calculated. A two pool kinetic model incorporating patient’s ultrafiltration (UF), kidney function and endogenous toxin generation was fitted to the measured concentration curves. This model yielded estimates of the plasmatic volume (V1), total distribution volume (Vtot), and intercompartmental clearance (K12), parameters that characterize UT distribution and transport within the patient.

Results

The table summarizes median values of different toxin-, dialysis-, and kinetic parameters. RR and KD were consistently higher for small versus middle molecules, and both are inversely related to %PB. When stratifying patients into 3 age groups (0-6y, 7-12y, 13-18y), both Vtot and K12 showed an age related increase. The calibrated models provide a framework for HD simulations, for example to explore scenarios of declining residual kidney function, altered toxin generation (e.g., dietary changes), or adjustments in dialyzer type, session duration, or frequency.

Conclusion

This study shows the age-dependency of UT kinetics in pediatrics. The presented models enable individualized HD simulations. Embedding these models into a user friendly application can support pediatric nephrologists in making bedside decisions for a personalized and optimized HD prescription for each child.

Acknowledgment

The authors are indebted to the study nurses Els Holvoet and Stefaan Claus, and the lab technician Sophie Lobbestael.

Funding

  • Government Support – Non-U.S.