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PEDIATRICS |
From the Department of Chemistry, Syracuse University, Syracuse, New York (Dr Goodisman) and the Department of Pediatrics, State University of New York, Upstate Medical University, Syracuse, New York (Dr Souid).
Address for reprints: A.-K. Souid, State University of New York, Upstate Medical University, Department of Pediatrics, 750 East Adams Street, Syracuse, NY 13210.
| ABSTRACT |
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,
minute), 0.210; and for the AUC (µM minute), 0.320. Thus, BSA-based dosing
gave significant variability in the AUC. We attempted to use
(weight)a(height)b, seeking values of a and b that gave
the smallest RSD in AUC, but only minimal improvement could be obtained by
deviating from the BSA formula (a = b = 0.5). However, dosing proportional to
(weight)d(Cmax)f (with d
3/4 and f
1) reduced the RSD in AUC from
1/3 to
1/10. Dosing
proportional to (weight)m
(Cmax)n(t
)p (with m
0.7, n
1, and p
) reduced it further, to
1/32. In contrast, using
(weight)d(Cmax)f(age)g gave no
improvement over (weight)d(Cmax)f. The
authors conclude that the inconsistency in AUC can be reduced 10-fold with
dosing proportional to the weight and the drug pharmacokinetic parameters
[(weight0.7) ÷ (Cmax x
t
0.5)].
Key Words: Cisplatin carboplatin pharmacokinetics drug modeling
We evaluate here the variability of free (unbound) plasma cisplatin
pharmacokinetics in 19 patients who participated in the phase I trial 9970
within the Children Oncology
Group.6 Cisplatin
was administered intravenously in combination with irinotecan. The cisplatin
dose was proportional to body surface area (BSA), 30 mg/m2. Values
of AUC were calculated from plasma measurements taken after drug
administration. The variability, calculated as the ratio of population SD in
AUC to mean AUC, was
1/3, unacceptably high. We investigated the effect
of other dosing formulas based on patient parameters. Using the results of
this investigation, we developed a formula for cisplatin dosing that resulted
in much more constant AUC (smaller variability).
| MATERIALS AND METHODS |
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Patients
Nineteen patients (7 female patients and 12 male patients) received 1-hour
intravenous infusion of cisplatin at 30 mg/m2. All patients had
normal serum creatinine and glomerular filtration rate for age and normal
serum albumin
2.5 g/dL. Body surface area was determined as [square root
of height (cm) x weight (kg)] ÷ 60. Blood samples (1 mL each) for
plasma cisplatin determinations were drawn from central lines into EDTA tubes
before cisplatin infusion and then at 0, 15, 30, 45, 60, and 90 minutes from
the end of cisplatin infusion. The samples were centrifuged immediately at
4°C, and an aliquot of the plasma was centrifuged in the Amicon Centrifree
micropartition unit in a fixed-angle rotor (4°C, 2000g) for 1
hour. The ultrafiltrates were stored at 20°C, shipped on dry ice,
and analyzed for cisplatin content immediately on arrival using atomic
absorption
spectroscopy.6 A
more complete description of the study design, treatment, and assay validation
has been reported
previously.6
The participating sites were phase I institutions within the Children Oncology Group. The study was approved by the institutional review board of the participating institutions. Written informed consent was obtained for each patient before they entered the study.
Platinum Analysis
Platinum analysis was done on the graphite furnace of a Shimadzu atomic
absorption spectrometer. The instrument was supplied with a hollow cathode Pt
lamp, deuterium arc background correction, and graphite tubes. Argon gas and
tap water flowed through the furnace. The Pt standard
(H2PtCl6) was a 51.3 nM (0.01 mg/L) solution, freshly
prepared by serial dilutions of the Pt atomic spectroscopy standard stock in
dH2O plus 1% HNO3 (volume to volume). A calibration
curve was generated immediately before each measurement. It was linear from 0
to 1.0 pmol (r
.99); the lower limit of detection was
0.1
pmol. Each sample was measured in triplicate. The injection volume was 20
µL. The furnace program was drying at 70°C for 10 seconds, drying at
90°C for 10 seconds, drying at 120°C for 10 seconds, charring at
250°C for 10 seconds, charring at 800°C for 25 seconds, charring at
30°C for 20 seconds, atomizing at 2600°C for 5 seconds, and burn off
at 3000°C for 3 seconds. Calculations were based on the molecular weight
of Pt of 195.078.
Data Analysis
The AUC was calculated for each patient from the values of the maximum
concentration (Cmax, plasma concentration at the end of cisplatin
infusion, µM) and k (decay constant obtained by fitting measured plasma
concentrations to Aekt, minute1). Details
of the calculation are given below. The relative standard deviation (RSD) was
determined as population SD of AUC divided by mean AUC. The smallness of RSD
is a measure of constancy.
To estimate AUC for dosing schemes other than BSA, the AUC for each patient was assumed proportional to the administered dose, that is, AUC for dose D1 is calculated as AUC for dose D2 multiplied by D1/D2. This assumption is exact for linear kinetics for all values of D10,13; it approaches exactness in general when D1 is close to D2 because it represents the leading term in a power-series expansion of AUC as a function of D. The assumption of proportionality enabled us to estimate AUC for any dosing scheme from the AUC measured for BSA-based dosing. We then investigated combinations of patients' parameters that would make AUC as constant as possible (give smallest RSD).
The AUC was calculated as a sum of 2 parts, C(1) and
C(2). The contribution for time (t) greater than 60 minutes,
C(2), was calculated from Cmax and half-life
(t
), assuming free plasma of the molar concentration of
cisplatin ([cisplatin]) decayed exponentially with a decay constant k =
ln(2)/t
:
![]() |
The exponential decay was verified from the measured plasma concentrations.
The contribution for t < 60 minutes, C(1), cannot be
calculated exactly because no measurements of free plasma [cisplatin] were
made during drug infusion. Lower and upper bounds on C(1) can be
obtained assuming free plasma [cisplatin] rises linearly with t until it
reaches the steady-state value Cmax. The lower bound on
C(1) with this assumption, corresponding to free plasma [cisplatin]
= Cmax x (t ÷ 60) is C(1) =Cmax
x 30 minutes. The upper bound, assuming a fast rise in C, so free plasma
[cisplatin]
Cmax for t
60 minutes, is C(1)
=Cmax x 60 minutes. The actual value of C(1) for
slow infusion should be between these 2
values.12 The high
and low AUC values were calculated by adding Cmax
t
/ln 2 to either Cmax x 60 or
Cmax x 30, and calculations were made with both assumptions.
Conclusions drawn from the 2 sets of AUC values were very similar.
| RESULTS |
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for the 19 patients for
BSA-based dosing and calculated high and low values of AUC. For all patients,
Cmax for free plasma cisplatin was [mean ± SD (n)] 4.7
± 1.6 (19) µM and t
was 25.4 ± 5.4 (19)
minutes. The RSD in AUC (high or low) for all patients was 0.320.
|
We then searched for an optimal usage of patients' weight (Wt) and height
(Ht) to determine dosing. Dosing was set proportional to
(weight)a(height)b and the predicted
AUC was calculated as (AUC from BSA-based dosing) ÷
[(weight)
(height)
] x
[(weight)a (height)b]. The optimal
values of the exponents a and b were determined by
minimizing RSD for the predicted AUCs. The results of these calculations are
shown in Table II (optimal
Ht/Wt dosing). For the high AUC, the optimal values of a and
b were 0.61 and 0.19, respectively (giving RSD = 0.319). For the low
AUC, the optimal values of a and b were 0.60 and 0.31,
respectively (giving RSD = 0.319).
|
The RSD of 0.319 is essentially the same as that obtained using BSA, that is, a = b = 0.5 (Table I). This finding is not surprising because height and weight are correlated, and thus only the sum of the exponents is of importance. To show this, we calculated the AUC for dosing proportional to (weight)c(height)1c. The RSD is plotted versus c in Figure 1. Varying c between 0.1 and 0.9 increased RSD by less than 10% from BSA dosing (c = 0.5). Therefore, not much was gained by dosing proportional to the geometric mean of height and weight (BSA) rather than by either height, weight, or (weight)c (height)1c with 0 < c < 1.
|
. Because the RSD in Cmax was greater than that
in t
and because the RSD in weight was greater than that in
height (Table I), we considered
dosing proportional to (weight)d x
(Cmax)f. The predicted values of AUC were
calculated by dividing the values of AUC in
Table I by (BSA/
BSA
) and multiplying them by (weight/
weight
)d and by (Cmax/
Cmax
f), where brackets indicate mean values. The mean
values were incorporated in the formula so that predicted AUC would be the
same size as those of Table I.
We then sought the values of d and f, which gave the
smallest calculated RSD in AUC.
The results (Table II)
demonstrated a great improvement in constancy over BSA-based dosing. The best
values of d and f were 0.78 and 1.01 for the low AUC
results and 0.75 and 1.01 for the high AUC results. (The inverse
proportionality to Cmax is not surprising, given that calculated
AUC is proportional to Cmax, but simply dosing inversely to
Cmax cannot achieve constancy in AUC.) The RSD was reduced to 0.113
and 0.083, respectively. Thus, dosing proportional to
(weight)3/4/Cmax reduced the RSD to
1/10, 3 times
lower than the value obtained with BSA dosing.
One can lower the RSD even further by dosing proportional to powers of 3
patients' parameters, that is,
(Wt)m(Cmax)n(t
)p.
We calculated the resultant AUC according to the following:
![]() |
To investigate whether this substantial lowering was simply a consequence of using 3 rather than 2 parameters, we considered dosing proportional to (weight)m(age)n(Cmax)p. For low AUC, the results were m = 0.78, n = 0.003, p = 1.00 (RSD = 0.113). For high AUC, the results were m = 0.75, n = 0.002, p = 1.01 (RSD = 0.083). Because the exponent of age was essentially zero (so the other exponents had the values they did in the 2-parameter dosing formula), taking patients' age into account presented no advantage.
| DISCUSSION |
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1/3) (Table I).
In our calculations, we use a few parameters (height, weight, age,
Cmax, and t
) to construct a cisplatin dosing
formula that gives more constant AUC. Insignificant lowering of RSD in AUC,
relative to BSA dosing, was obtained using patients' height and weight only.
The reason for the variability in AUC resulting from BSA dosing thus appears
to be related to variables other than height and weight, such as rates of drug
elimination, distribution, and
biotransformation.12-14
None of these parameters is currently evaluated in patients receiving
cisplatin. However, Cmax (plasma drug concentration at the end of
infusion) is measured and reflects these parameters.
Our calculations show RSD in AUC can be reduced from
1/3 (for BSA
dosing) to
1/10 if dosing is proportional to
(weight)3/4/Cmax. They suggest that a further reduction
by a factor of 3 in RSD can be achieved by dosing proportional to powers of 3
parameters: weight, Cmax, and t
. On the other
hand, dosing proportional to powers of weight, Cmax, and age gives
no improvement over dosing proportional only to powers of the first 2
variables. This finding confirms the source of the variation in AUC is
kinetics, and parameters such as Cmax and t
should be taken into account to produce constancy. The former is more easily
obtained because it requires only a single measurement, whereas
t
requires a series of measurements.
As an example of use of the 3-parameter dosing formula, suppose our target
value of AUC is 367.5, which is the mean value of the low and high AUCs for
all patients,
(435 + 300) (Table
I). To establish the constant of proportionality in the dosing
formula, we divide the AUC for each patient
(Table I) by [30
mg/m2 x BSA (in m2)] and multiply by
[(Wt0.7)(Cmax1)(t
)],
giving new AUCs with a mean value of 5.619. Because our target value is 367.5,
we multiply all doses by 367.5/5.619 = 65.4. Our calculations predict that if
the administered cisplatin doses were (65.4) x
[(Wt0.7)(Cmax1)(t
)],
the mean AUC would be 367.5, and the population SD would be 11.99, making the
RSD 0.0326. Based on the formula, patient 1
(Table I) would receive a
cisplatin dose of 65.4(44.3)0.7 ÷ (5.8 x
27
) = 30.8 mg instead of 40.6 mg = (30
mg/m2)(1.354 m2). In contrast, patient 2 would receive a
cisplatin dose of 65.4(51.0)0.7 ÷ (3.2 x
25
) = 64.1 mg instead of 45.7 mg = (30
mg/m2)(1.524 m2). All our calculations are based on the
approximation that changing a patient's dose from D1 to
D2 will change the patient's AUC from A1 to
(D2/D1) A1; this approximation approaches
exactness when D2/D1 approaches unity.
Our aim in this work was to find a dosing formula, based on easily
measurable patients' parameters, which would reduce the variability in
delivered AUC from the present high level (RSD
1/3 using BSA, dosing
proportional to (Ht x Wt)
). Using powers of height
and weight only, one can get only minimal improvement, but RSD can be reduced
by a factor of 3 with dosing proportional to
(Wt)3/4/Cmax. Another factor of 3 improvement in RSD is
possible for dosing proportional to
[(Wt0.7)(Cmax1)(t
)],
but the measurement of t
is more complicated than the
measurement of Cmax.
The proposed method for cisplatin dosing requires clinical validation by
future studies. Nevertheless, the data show that pharmacokinetics variables
(Cmax and t
) contribute importantly to cisplatin
AUC variations. Thus, limited pharmacokinetics samples may be necessary,
especially during high-dose cisplatin treatment or when treating young
infants. For example, when high-dose cisplatin is given (ie, 20-40
mg/m2/day x 5 consecutive days), limited pharmacokinetics
samples could be collected on day 1 to guide the dosing on days 2 through
5.
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