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 Encyclopedia of Physical Science and Technology  EN011J-559  July 25, 2001  18:57






               818                                                                                   Pharmacokinetics


               to be well mixed with a uniform concentration through-
               out. The concentrations C i (t) and volumes V i (t) can all be
               functions of time t. The mass balance around the central
               compartment is
                     d(C 1 V 1 )
                            = R inf − (k 3,f + k elim + k 2,f )(C 1 V 1 )
                       dt
                              + k 3,r (C 3 V 3 ) + k 2,r (C 2 V 2 ),  (22)
               where R inf is the rate of infusion or rate of delivery, which
               can be constant or dependent on time. The k’s are rate
               coefficients which must be determined from curve fits to
               experimental data.
                 The mass balances for the other two compartments are
               as follows:
                        d(C 2 V 2 )
                               = k 2,f (C 1 V 1 ) − k 2,r (C 2 V 2 ),  (23)
                          dt
                        d(C 3 V 3 )
                               = k 3,f (C 1 V 1 ) − k 3,r (C 3 V 3 ).  (24)
                          dt
               Often, only the infusion rate, the elimination rate
               (k elim C 1 V 1 ), and the volume and concentration of the cen-
               tral compartment versus time are known. This leaves eight  FIGURE 8 Physiologic model for transport between the blood
               unknowns with only three equations. The number of vari-  (body compartment) and a solution in the peritoneal cavity. The
                                                                 model emphasizes the importance of the tissue surrounding
               ables can be reduced to four by redefining mass (M i =
                                                                 the cavity. Each tissue compartment can be characterized by
               C i V i ) and equating k i,f to k i,r . Numerical fits to the data  the mass of drug or the drug concentration and tissue-specific
               can produce a range of possible parameters in order to fit  volume of distribution. Input of the drug can be intravenous or in-
               the central-compartment concentration data.       traperitoneal. (i.p.). Drugs administered i.p. are typically done in
                 The compartmental model is primarily a mathematical  the setting of peritoneal dialysis in which a portion of the drug
                                                                 is typically not absorbed but drained out of the cavity. Drugs are
               scheme to predict the plasma or central compartment con-
                                                                 cleared from the plasma (body compartment) at a clearance rate
               centration. It does not tell us about the mechanisms inside  Clr BC . Here Q i is the blood flow to or from organ i , L i is the lymph
               the body which control drug distribution and elimination.  flow rate, and R i is the rate of mass transfer between peritoneal
                                                                 cavity and the tissue in contact with the peritoneal solution.
               B. Physiologic Pharmacokinetic Models
                                                                 then is taken up by the blood circulation (Q i ) or lymph
               In this modeling approach, anatomically or physiologi-  circulation (L i ) and transports to the body compartment.
               cally defined spaces within the body, along with blood  That the hollow viscera drain directly into the liver via the
               flows to and from each, rates of drug extraction, or  portal vein is included in the model; if the drug is metabo-
               metabolism by each compartment are modeled. These  lized in the liver, this can be included in a submodel of the
               models require significantly more detailed information  liver. Each flow rate, compartment volume of distribution,
               about a system than the typical compartmental approach.  and rate of drug metabolism must be specified in such a
               An example of such an approach is illustrated in Fig. 8, a  model. Mass balances are written for each compartment
               multicompartmental, physiologic model of exchange be-  and are solved simultaneously to estimate concentrations
               tween the body and fluid in the peritoneal cavity. The  in each compartment. Since it has recently been shown
               transport of substances between the body compartment  that the extracellular volume of the tissues surrounding the
               (the volume of drug distribution within the body with  peritoneal cavity expand when large volumes of fluid are
               which the plasma is in equilibrium) and the peritoneal  infused into the cavity, volume balances must be written
               cavity occurs via the tissue compartments which surround  and solved to calculate the volume of each compartment.
               the peritoneal cavity. Drugs may be introduced into the  Physiologic models are very complex and require de-
               peritoneal cavity (Input PC ) or into the body compartment  tailed data to implement. The complexity of such models,
               (Input BC ).Fromthebodycompartment,theycandistribute  however, provides the capability of studying the effects of
               to the tissue compartments around the cavity via the blood  variationsinpartsofthetransportsystem.Forexample,the
               flow to each tissue group (Q i ). From the peritoneal cav-  role of lymphatic transport of solute from the peritoneal
               ity, the drug transports into the tissue compartments and  cavity to the body compartment could be investigated by
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