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      Modeling the postdialysis rebound: the reconciliation of current formulas.

      1 , ,
      ASAIO journal (American Society for Artificial Internal Organs : 1992)

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          Abstract

          Three approaches are currently used in kinetic models (UKMs) to account for the postdialysis rebound in urea concentration, and thereby accurately measure the hemodialysis dose, KT/V (where K, T, V denote dialyzer clearance, dialysis duration, and urea distribution volume, respectively). The approach developed by Smye uses an intradialytic sample to predict the postdialysis equilibrium concentration, Ce, which is then used in a single pool UKM to give KT/V. A second approach developed by Tattersall introduces a patient clearance time, tp. The true dialysis dose is then given by T/(T + tp) x apparent dose, and tp is estimated to be 36 minutes. The Daugirdas analysis uses an empiric regression equation to give the true dose; KT/V)true from the single pool value, KT/V)sp; KT/V)true = KT/V)sp - (36/T)(KT/V)sp + 0.03. The analysis confirms the equivalence of all three formulas, which arises from the observation that during the later stages of dialysis, the urea concentration decreases as a single exponential. The formulas are independent of whether a flow or diffusion model is used to describe the kinetics of urea removal. The original analysis assumed constant volumes, but the effect of ultrafiltration volume u on C(e) may be accounted for by multiplying by (1 + u/V). The Smye equation is more vulnerable to error in practice, because small errors in the intradialytic sample give larger errors in the equilibrium concentration estimate, whereas dose estimates based on the Tattersall and Daugirdas equations are less affected by sampling errors. However, unlike the Smye approach, these two formulas would need adaptation for use with other solutes. The advent of continuous urea monitoring should permit more accurate, prospective estimates of equilibrium concentrations and dialysis dose.

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          Author and article information

          Journal
          ASAIO J.
          ASAIO journal (American Society for Artificial Internal Organs : 1992)
          1058-2916
          1058-2916
          December 11 1999
          : 45
          : 6
          Affiliations
          [1 ] Department of Medical Physics, St James's University Hospital, Leeds, United Kingdom.
          Article
          10593687
          0f996166-3c91-48e6-8630-cd6e9136de0a
          History

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