A kinetic model of inorganic phosphorus mass balance in hemodialysis therapy
Related Experiment Video
Updated: Aug 9, 2026

Laboratory-determined Phosphorus Flux from Lake Sediments as a Measure of Internal Phosphorus Loading
Published on: March 6, 2014
Frank A Gotch1, Froilan Panlilio, Olga Sergeyeva
1Renal Research Institute, New York, NY, USA. frank.gotch@fmc-na.com
Insights
A new kinetic model (iPKM) effectively monitors inorganic phosphorus (iP) in hemodialysis patients. This model helps optimize diet, binders, and dialysis, reducing iP accumulation and cardiac risk.
Area of Science:
- Nephrology
- Biomedical Engineering
- Clinical Chemistry
Background:
- Inorganic phosphorus (iP) accumulation is a cardiac death risk in hemodialysis (HD).
- Optimizing iP mass balance requires monitoring dietary intake (GiP), binder removal (JbiP), and dialysis removal (JdiP).
Purpose of the Study:
- To introduce and evaluate a novel kinetic model (iPKM) for monitoring individual iP mass balance parameters in HD patients.
- To assess the feasibility of optimizing GiP, JbiP, and JdiP to minimize iP tissue accumulation.
Main Methods:
- Developed the iPKM to monitor GiP, JdiP, and JbiP.
- Calculated GiP from urea kinetics and JdiP using dialyzer clearance and plasma iP concentration.
- Introduced a normalized iP concentration parameter (nTAC(iP)) and validated its predictive function.
Main Results:
- The iPKM demonstrated high accuracy in predicting nTAC(iP) (r=0.98) and JdiP (r=0.88).
- The model accurately predicted binder requirements for daily vs. thrice-weekly HD patients.
- Higher binder needs in daily HD patients were linked to higher normalized protein catabolic rates (NPCR).
Conclusions:
- Preliminary results are promising for individual monitoring and optimization of iP mass balance parameters in HD.
- The iPKM offers a potential tool to reduce phosphate accumulation in HD patients.
- This approach may lead to improved cardiac outcomes in hemodialysis therapy.
Background:
There is growing evidence that inorganic phosphorus (iP) accumulation in tissues (dTiP/dt) is a risk factor for cardiac death in hemodialysis therapy (HD). The factors controlling iP mass balance in HD are dietary intake (GiP), removal by binders (JbiP) and removal by dialysis (JdiP). If iP accumulation is to be minimized, it will be necessary to regularly monitor and optimize GiP, JbiP and JdiP in individual patients. We have developed a kinetic model (iPKM) designed to monitor these three parameters of iP mass balance in individual patients and report here preliminary evaluation of the model in 23 HD patients.
Methods:
GiP was calculated from PCR measured with urea kinetics; JdiP was calculated from the product of dialyzer plasma water clearance (K(pwiP)) and time average plasma iP concentration (TACiP) and treatment time (t); a new iP concentration parameter (nTAC(iP), the TACiP normalized to predialysis CoiP) was devised and shown to be a highly predictable function of the form nTAC(iP) = 1 - alpha(1 - exp[-betaK(pwiP). t/ViP]), where the coefficients alpha and beta are calculated for each patient from 2 measure values for nTAC(iP), K(pwiP).t/ViP early and late in dialysis; we measured 8-10 serial values for nTAC(iP), K(pwiP). t/ViP over a single dialysis in 23 patients; the expression derived for iP mass balance is DeltaTiP = 12(PCR) - [K(pwiP)(t) (N/7)][CoiP(1 - alpha(1 - exp[-beta(Kt/ViP)]))] - k(b).Nb.
Results:
Calculated nTAC(iP) = 1.01(measured nTAC(iP)), r = 0.98, n = 213; calculated JdiP = 0.66(measured total dialysate iP) + 358, n = 23, r = 0.88, p < 0.001. Evaluation of 10 daily HD patients (DD) and 13 3 times weekly patients with the model predicted the number of binders required very well and showed that the much higher binder requirement observed in these DD patients was due to much higher NPCR (1.3 vs. 0.96).
Conclusion:
These results are very encouraging that it may be possible to monitor the individual effects of diet, dialysis and binders in HD and thus optimize these parameters of iP mass balance and reduce phosphate accumulation in tissues.
More Related Videos
Related Concept Videos
Roles of Electrolytes: Calcium and Phosphate
The calcium concentration in blood plasma is primarily regulated...
Physiological Pharmacokinetic Models: Assumption with Protein Binding
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Peritoneal Dialysis I: Introduction and Procedure
Acute Kidney Injury V: Interprofessional Care

