Literature DB >> 12566662

A kinetic model of inorganic phosphorus mass balance in hemodialysis therapy.

Frank A Gotch1, Froilan Panlilio, Olga Sergeyeva, Laura Rosales, Tom Folden, George Kaysen, Nathan W Levin.   

Abstract

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. Copyright 2003 S. Karger AG, Basel

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Year:  2003        PMID: 12566662     DOI: 10.1159/000067866

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  8 in total

1.  The clearance of unidentified uremic solutes (with molecular weight under 5 kDa) plays an important role in hemodialyzer selection.

Authors:  Tung-Sheng Chen; Shaw-Yih Liou; Yen-Lin Chang
Journal:  Int Urol Nephrol       Date:  2009-07-10       Impact factor: 2.370

2.  A two-pool kinetic model predicts phosphate concentrations during and shortly following a conventional (three times weekly) hemodialysis session.

Authors:  John T Daugirdas
Journal:  Nephrol Dial Transplant       Date:  2018-01-01       Impact factor: 5.992

3.  Kinetic model of phosphorus mobilization during and after short and conventional hemodialysis.

Authors:  Baris U Agar; Alp Akonur; Ying-Cheng Lo; Alfred K Cheung; John K Leypoldt
Journal:  Clin J Am Soc Nephrol       Date:  2011-10-27       Impact factor: 8.237

Review 4.  The advantages and challenges of increasing the duration and frequency of maintenance dialysis sessions.

Authors:  Charles Chazot; Guillaume Jean
Journal:  Nat Clin Pract Nephrol       Date:  2008-11-25

Review 5.  Phosphate balance in ESRD: diet, dialysis and binders against the low evident masked pool.

Authors:  A Galassi; A Cupisti; A Santoro; M Cozzolino
Journal:  J Nephrol       Date:  2014-09-23       Impact factor: 3.902

6.  Application of dynamic optimisation for planning a haemodialysis process.

Authors:  Wojciech Stecz; Radoslaw Pytlak; Aleksandra Rymarz; Stanislaw Niemczyk
Journal:  BMC Nephrol       Date:  2019-07-02       Impact factor: 2.388

7.  Patient education for phosphorus management in chronic kidney disease.

Authors:  Kamyar Kalantar-Zadeh
Journal:  Patient Prefer Adherence       Date:  2013-05-03       Impact factor: 2.711

8.  Potentially modifiable factors associated with non-adherence to phosphate binder use in patients on hemodialysis.

Authors:  Maria Tereza Silveira Martins; Luciana Ferreira Silva; Angiolina Kraychete; Dandara Reis; Lidiane Dias; Gabriel Schnitman; Lívia Oliveira; Gildete Barreto Lopes; Antonio Alberto Lopes
Journal:  BMC Nephrol       Date:  2013-10-03       Impact factor: 2.388

  8 in total

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