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Clinical Science  |   December 2004
Estimation of the Plasma Effect Site Equilibration Rate Constant (ke0) of Propofol in Children Using the Time to Peak Effect: Comparison with Adults
Author Affiliations & Notes
  • Hernán R. Muñoz, M.D., M.Sc.
    *
  • Luis I. Cortínez, M.D.
  • Mauricio E. Ibacache, M.D.
  • Fernando R. Altermatt, M.D.
  • * Associate Professor of Anesthesiology, † Assistant Professor of Anesthesiology, ‡ Instructor of Anesthesiology.
Article Information
Clinical Science
Clinical Science   |   December 2004
Estimation of the Plasma Effect Site Equilibration Rate Constant (ke0) of Propofol in Children Using the Time to Peak Effect: Comparison with Adults
Anesthesiology 12 2004, Vol.101, 1269-1274. doi:
Anesthesiology 12 2004, Vol.101, 1269-1274. doi:
PHARMACOKINETIC studies and the development of computer-controlled infusion devices have lead to new ways of administering intravenous drugs. Target-controlled infusion allows achieving and maintaining predetermined plasma concentrations of different drugs whose pharmacokinetic parameters have been previously estimated. Although this combination of pharmacokinetics and computer technology is with no doubt a significant advance for delivering intravenous drugs, there are still some problems and limitations regarding target-controlled infusion systems.1 One of them refers to the fact that it is the effect site or “biophase” concentration, not the plasma concentration, that best correlates with drug effect. Therefore, targeting the plasma concentration results in a delayed effect with respect to plasma concentration in non–steady state conditions,2,3 and the effect site seems to be a more logical target when rapid variations in the level of effect are needed as occurs in clinical anesthesia.1 Targeting the effect site, however, requires specific pharmacokinetic parameters of the biophase such as the plasma effect site equilibration rate constant (ke0), which describes the removal of the drugs from the effect site. The ke0can be incorporated into the pharmacokinetic model to calculate the dosing scheme to target effect site instead of plasma; however, this parameter has not been defined for a number of drugs. For example, propofol is the only drug with commercially available target-controlled infusion devices for adults (Diprifusor; Graseby Medical Ltd., Hertfordshire, United Kingdom) and children (Paedfusor; Graseby Medical Ltd.), and although the ke0of propofol has been determined for the adult population,4–6 we are not aware of any report of this parameter in children. Moreover, and in addition to potential pharmacodynamic differences between these two populations, because the ke0is specific to a particular vector of pharmacokinetic parameters, it is not correct to extrapolate a value derived from an adult model into a pediatric pharmacokinetic model of propofol. These facts preclude the more rational approach of targeting effect site when infusing propofol in this population.
Because measuring effect site concentration is not possible in clinics, a surrogate measurement, such as the drug effect within the central nervous system, is needed. Electroencephalographic-derived indices, such as those of the Bispectral Index and auditory evoked potential (AEP) monitors, display a continuous measurement of the hypnotic effect of drugs such as propofol, and after the administration of a bolus dose that produces a submaximal effect, the peak effect and the time from injection to peak effect (tpeak),7 can be identified. When there is no drug initially in the body, the magnitude of the maximum effect depends on the dose; however, tpeakoccurs at the same time regardless of dose.7 Minto et al.  8 have shown that tpeakis a model-independent pharmacodynamic parameter that can be used with the appropriate pharmacokinetic parameter set to calculate the value of ke0that accurately predicts tpeak. Provided that we have an adequate measurement tool for the drug effect, the tpeakmethod may offer advantages over more traditional methods to estimate ke0. These include the determination of a single point (the maximum effect) instead of the complete course of drug effect,4 the fact that no assumptions are needed on the degree of equilibration between plasma and biophase after an infusion6 or step modifications of plasma concentrations,5 and the fact that the tpeakmethod requires a reduced number of mathematical iterations that can lead to increasing inaccuracies.4–6 Schnider et al.  6 found that the tpeakof propofol tends to increase with age in adults. Although a priori  it is not possible to extrapolate the tpeakof propofol obtained from adults to children, we hypothesize that this value in children may be smaller. Therefore, the objective of this study was to determine the tpeakof propofol in children and compare this value with that of adults. A derived and equally important objective is to calculate the ke0of propofol in children with two pharmacokinetic models of propofol for this population using the tpeakmethod.
Materials and Methods
After institutional ethics committee approval (School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile) and obtaining informed consent, 25 adult patients aged 35–48 yr and 25 children aged 3–11 yr were studied. All patients were unpremedicated, had American Society of Anesthesiologists physical status I, and were scheduled to undergo elective surgery during general anesthesia. Exclusion criteria included a weight greater than 120% of ideal, long- or short-term (within the previous 48 h) intake of any sedative and analgesic drug, and any known adverse effect to the study drugs. In the operating room, after routine monitoring, three electrodes (A-Line electrodes; Medicotest A/S, Oelstykke, Denmark) were positioned at the mid forehead (+), the left forehead (reference), and the left mastoid (−) in all patients. A bilateral click stimulus of 70 db and 2 ms duration was applied by means of headphones, and the midlatency AEPs elicited were processed continuously using the Alaris A-Line AEP monitor, version 1.4 (Danmeter A/S, Odense, Denmark). The A-Line AEP monitor uses an Auto Regressive method with exogenous input (ARX) model to process the AEPs and displays the A-Line ARX-index (AAI), a dimensionless number from 100 (fully awake) to 0 (conceivably a flat electroencephalography). The index was obtained as “normal AAI,” which displays the on-line measured index at a rate of 1 Hz. Because the monitor initially needs a period of time to process the AEPs and give the first AAI value, the subsequent values are shown with a time delay of approximately 6 s. When the impedance of the electrodes was less than 5 kΩ and there were no warnings of poor quality signal on the screen of the monitor, a bolus dose of propofol (1%; Fresenius Kabi, Hamburg, Germany) producing a submaximal effect (i.e.  , the minimum AAI value generated by the A-Line AEP monitor was > 0) was injected manually as fast as possible (always in less than 5 s) and followed by a flush of saline. Because initially the “useful” dose of propofol had to be determined, the first patients in both groups received different doses on a weight basis. Patients who did not lose the eyelash reflex were excluded from the study because their recording of AAI values did not always allow the detection of an evident minimum. Besides the confirmation of the presence or absence of the eyelash reflex, no other stimulation was applied (i.e.  , noninvasive arterial pressure) to patients. When a minimum AAI value was obtained and partial recovery from propofol was evident as suggested by increasing AAI values, the study was finished and anesthesia continued according to the attending anesthesiologist.
The AAI values recorded by the AEP monitor at a frequency of 1 Hz were imported into an Excel (Microsoft Corporation, Redmond, WA) spreadsheet for off-line determination of the time of peak effect (tpeak, time from the beginning of injection of propofol until the minimum AAI value). In the few cases where a minimum AAI value remained constant for a few seconds (usually for 5–6 s), the time until the first lowest AAI value was considered the tpeak. Because the AAI value is displayed with a 6-s delay, for subsequent analysis, we subtracted 6 s from the tpeakdetermined off-line. Because at tpeakthe maximum effect site concentration (Ce) of propofol occurs and equals that of plasma (Cp), after a bolus, we can calculate these concentrations (μg/ml) with the dose (mg) and the Unit Disposition Function of the effect site at tpeak(Ce(tpeak)) with the formula
where A and λ are pharmacokinetic parameters. Then, using Ce(tpeak) the value of ke0was calculated with the equation
This equation was solved for ke0for each patient with the Solver function of Excel using the pharmacokinetic parameters for propofol determined by Schnider et al.  9 for adults and those determined by Kataria et al.  10 for children. In children, ke0was also calculated with the pharmacokinetic model used in the Paedfusor. The constants of this model are k12 = 0.114, k13 = 0.0419, k21 = 0.055, k31 = 0.0033. Central compartment volume and k10 vary with age and weight, but for children aged 12 yr or younger they are V1 = 458.4 ml/kg and k10 = 0.1527 × weight−0.3.11 Finally, as a simple way to validate the model, in terms that the population ke0determined for each group is capable to predict a tpeaksimilar to the measured tpeak, the median ke0determined from all children and all adults was used to calculate, with the corresponding pharmacokinetic parameters, the “predicted” tpeakfor each patient.
Statistical analysis was with the Kolmogorov–Smirnov test as a test of normality. This was followed by paired and unpaired Student t  tests, and Wilcoxon and Mann–Whitney tests for variables with and without normal distribution, respectively. A P  value less than 0.05 was considered significant. Values are presented as mean ± SD or median (range).
Results
Demographic data for both groups, the dose of propofol, and AAI values are shown in table 1. There was a wide variability in the baseline AAI values in both children and adults. Moreover, whereas there was no difference between children and adults in the AAI values measured awake, after propofol, adults reached a lower AAI value compared with children (fig. 1and table 1).
Table 1. General Data 
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Table 1. General Data 
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Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
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The tpeakwas 80 ± 20 s (43–108 s) in adults and 132 ± 49 s (53–209 s) in children (P  < 0.001; fig. 2). In both groups, there was a non– statistically significant tendency to an increase of tpeakwith age. In all patients, it was possible to determine with equation 2the ke0that exactly matched the measured tpeak(minus the 6-s delay) (fig. 3). The Kolmogorov–Smirnov test detected that the ke0and t1/2ke0did not have normal distribution; consequently, they were analyzed with Mann–Whitney and Wilcoxon tests. The calculated median ke0was 0.56 min−1(0.30–2.00 min−1) in adults. In children, the median ke0was 0.41 min−1(0.12–1.85 min−1) using the model of Kataria and 0.91 min−1(0.40–3.34 min−1) with the Paedfusor parameters (P  < 0.001, Wilcoxon test). These ke0values led to a median t1/2ke0value of 1.24 min (0.35–2.33 min) in adults and 1.7 min (0.4–5.9 min) and 0.8 min (0.2–1.7 min) in children with the Kataria and Paedfusor models, respectively (P  < 0.001, Wilcoxon test). When the ke0and t1/2ke0from adults were compared with those from children, a statistically significant difference was found only with those parameters determined with the Paedfusor model (P  < 0.01, Mann–Whitney test).
Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
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Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
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The “predicted” tpeakin adults using a ke0of 0.56 min−1was 82 ± 2 s (77–85 s) and was not significantly different from the measured tpeakwith the paired Student t  test. (fig. 4). In children, using a ke0of 0.41 min−1and the pharmacokinetic model of Kataria, the “predicted” tpeakwas 131 ± 25 s (94–184 s). In this same age group, using a ke0of 0.91 min−1and the Paedfusor pharmacokinetic model, the “predicted” tpeakwas 128 ± 3 s (125–140 s). These were not significantly different from the measured tpeakwith the paired Student t  test (fig. 4).
Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
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Discussion
The main finding of this study is that the peak effect of propofol in children occurs significantly later as compared with adults. Expectedly, the calculated values of ke0and t1/2ke0depend on the pharmacokinetic model used to derive these parameters.
Propofol is widely used for intravenous anesthesia; however, we are not aware of any study determining the ke0of propofol in children. An accurate determination of a given drug’s ke0is useful for targeting the effect site instead of the plasma concentration during computer-controlled drug administration, for designing and interpreting clinical pharmacologic research, and for simulations of the time course of a drug effect.
To calculate the ke0, the tpeakmethod was used as proposed by Minto et al.  8 The tpeakis a pharmacokinetic model–independent parameter that can be directly observed after a bolus dose of a drug, provided that the drug is given for the first time, that a submaximal response is elicited, and that its time course can be measured accurately.3,7,8 In turn, this tpeakcan be mathematically related to any adequate pharmacokinetic model to calculate the corresponding ke0that will result in a maximal effect site concentration at the moment of tpeak.3,6,8 The mean tpeakof 80 s found in our study for adults is shorter than the tpeakof 96 s observed by Schnider et al.  6; however, we injected propofol in less than 5 s, whereas in the study of Schnider, the injection lasted 18 s (range, 13–24 s), and this might have lead to different tpeaks. Using the pharmacokinetic model for propofol of Schnider et al.  ,9 we found a median value for the ke0of 0.56 min−1and a t1/2ke0of 1.2 min in adults. This t1/2ke0calculated in our study is 20% smaller than the 1.5 min reported by Schnider et al.  6 Although this difference (and that in ke0) can be first accounted for by the differences found in tpeakvalues, it might also be secondary to the use of different monitors of drug effect. In addition, anthropometric differences in the populations under study leading to different pharmacokinetic variables and therefore to different ke0values cannot be ruled out. The t1/2ke0of propofol reported in this study and that of Schnider are smaller than t1/2ke0s calculated in other studies and that go up to 4.0 min.4,5 In this last case, however, these differences could be secondary to the use of different pharmacokinetic models for propofol because the value of ke0is critically dependent on the pharmacokinetic model used.
In the case of children aged 3–11 yr, we found a tpeakof 132 s, which is significantly larger than that of adults. Therefore, our initial hypothesis of a shorter or faster tpeakin children than adults, which would agree with the tendency to an increase of tpeakwith age in adults,6 is not supported by our findings. The tpeakor time of maximal effect site concentration of a drug after a bolus depends on two simultaneously occurring processes: One is the decreasing plasma concentration, and the other is the increasing effect site concentration. The faster the decrease of plasma concentration is, the sooner tpeakoccurs. As shown in figures 4 and 5, the pharmacokinetic models of propofol of both Kataria and the Paedfusor in children predict a slower decrease of plasma concentration compared with the model of Schnider in adults. This could be an explanation for a slower tpeakin this age group. The larger variability of tpeakin children could be also secondary to the much larger variability in pharmacokinetic parameters within children aged 3–11 yr compared with adults aged 35–48 yr, as shown in figure 5.
Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
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When the tpeakfound was used to calculate the ke0, the results were significantly different depending on the pharmacokinetic model used. With the model of Kataria et al.  ,10 the ke0was 0.41 min−1, resulting in a t1/2ke0of 1.7 min that supports a slower tpeakin children than in adults, whereas with the Paedfusor parameters, the ke0was 0.91 min−1, and the t1/2ke0was 0.8 min. These results emphasize two facts: One is that the ke0value is critically determined by the particular set of pharmacokinetic parameters used to calculate it; therefore, ke0cannot be used interchangeably with different models. The other is that despite a shorter t1/2ke0, as occurs with the value determined by the Paedfusor, compared with that from adults, tpeakcan be longer secondary to a much slower decrease of plasma concentration. We are not aware of any other reported value for these variables in children, and these findings must be prospectively confirmed.
To validate the estimates of ke0, we compared the mean measured tpeakwith the mean predicted tpeakin each population using the median ke0. The observed time of peak effect in adults (80 s) agrees almost exactly with the predicted tpeakof 82 s using the pharmacokinetics of Schnider et al.  9 and a ke0of 0.56 min−1. In children, the predicted tpeakof 131 s using the pharmacokinetics reported by Kataria et al.  10 and a ke0of 0.41 min−1and the predicted tpeakof 128 s with the Paedfusor parameters and a ke0of 0.91 min−1also match almost exactly the observed value of 132 s. This good agreement between mean measured and predicted tpeaks suggests that the incorporation of the appropriate ke0calculated in this study to the pharmacokinetics of Kataria and the Paedfusor may result in adequate models for targeting the effect site concentration of propofol in children.3 
A criticism of our methodology might be related to the specific electroencephalographic monitor used. The Alaris AEP monitor (version 1.4) used in our study delivers a dimensionless number (AAI value) derived from the processing of the midlatency AEPs and might be regarded as very different from the electroencephalographic-derived measures in several aspects. While Alaris AEP monitor must be validated in children, the similarity of the tpeakin our study with that obtained by Schnider et al.  6 suggests that both monitors are measuring, at least in adults, a similar underlying process that is modified by propofol. The baseline AAI values were similar in children and adults, whereas the minimum value was significantly higher in children. Although figure 5shows that both pediatric models for propofol predict a lower peak effect site concentration than in adults, thus suggesting that a pharmacokinetic difference may explain different minimum AAI values, pharmacodynamic differences cannot be ruled out.
As previously mentioned, at least theoretically, the effect site is a more logical target than plasma. This reduces the delay to obtain a given drug effect and possibly also its variability, which occurs when the target is plasma concentration.2,3 Because targeting the effect site is initially accompanied by a high plasma concentration or “overshoot,” the possibility that this might lead to more incidence of adverse effects (e.g.  , hypotension in the case of propofol)1 is a potential disadvantage of this technique. However, controlled studies with propofol have not shown more adverse effects when targeting an effect site concentration instead of plasma.2,3 
In conclusion, we have measured the time to peak effect of propofol in children and adults. Although this time is significantly longer in children, the finally calculated ke0is particular to the model used to derive this parameter. The ke0s obtained from the models of Kataria and the Paedfusor for propofol in children can be used with caution with the corresponding models to target effect site concentration of propofol in children. However, these parameters must be further validated before their widespread use in clinical anesthesia.
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Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
Fig. 1. Evolution of the A-Line monitor index (AAI) values during the study in the 25 adults (  top  ) and 25 children (  bottom  ). The  arrows  indicate the injection of propofol. 
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Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
Fig. 2. Evolution of the raw A-Line monitor index (AAI) recording over time from 20 s before propofol administration (time = 0 s) until the end of study in two patients. The  upper graph  corresponds to a 38-yr-old woman (weight, 69 kg; height, 166 cm) who had a time to peak effect (tpeak) of 89 s after 100 mg propofol. The  lower graph  corresponds to a 5-yr-old girl (weight, 22 kg; height, 117 cm) who had a tpeakof 161 s after 60 mg propofol. For further analysis, 6 s were subtracted from these tpeakvalues because this is the time delay of the A-Line AEP Monitor in showing the AAI values. 
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Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
Fig. 3. A-Line ARX index (AAI) values after propofol (  thick line  ) of the same adult (  upper graph  ) and child (  lower graph  ) of  figure 2. AAI recordings have been turned upside-down to display graphically the “increase” in the effect. The  thin, dashed lines  represent the plasma (Cp) and effect site (Ce) concentration of propofol after 100-mg and 60-mg bolus doses in the adult and child, respectively. In the adult, Cpand Cehave been estimated with the parameters of Schnider and the individual plasma effect site equilibration rate constant (0.502 min−1). In the child, Cpand Cehave been estimated with the parameters of Kataria and the individual plasma effect site equilibration rate constant (0.229 min−1). Ces peak 6 s earlier than time to peak effect measured from the AAI recording because we subtracted the 6-s delay in the signal of the monitor for calculation of Cepeak. 
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Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
Fig. 4. Time evolution of plasma (Cp) and effect site (Ce) concentration of propofol of the same woman and girl of previous figures. The  left graph  corresponds to the adult and her estimated Cpand Cewith the model of Schnider and her own plasma effect site equilibration rate constant (ke0) (0.502 min−1) (Cewith  continuous line  ). The  dotted line  corresponds to Cecalculated with the same model and the median ke0obtained from the adult group (0.56 min−1). The  center  and  right graphs  correspond to the Cpand Ceof the girl calculated with the parameters of Kataria and Paedfusor. Ces with  continuous line  were obtained with the individual ke0s derived from the models (0.23 min−1and 0.66 min−1with the parameters of Kataria and Paedfusor, respectively). Ces with  dashed lines  were calculated using the population ke0s (0.41 min−1and 0.91 min−1, respectively). 
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Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
Fig. 5. Unit disposition function (UDF) of the plasma  versus  time determined with the model of Schnider in the youngest and eldest adult of our study (  left  ) and in a 3-yr-old child and an 11-yr-old child according to the model of Kataria (  center  ) and the Paedfusor (Graseby Medical Ltd., Hertfordshire, United Kingdom) parameters (  right  ). The variability is much larger in children, particularly using the Paedfusor model. This variability in the rate of plasma concentration decay may explain part of the variability of time to peak effect in children. 
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Table 1. General Data 
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Table 1. General Data 
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