Newborns, Older Children, and Adults-Comparisons of Pharmacokinetics and Pharmacokinetic Variability Dale Hattis, Abel Russ, Gary Ginsberg, Prerna Banati, Mary Kozlak, and Rob Goble EPA/State of Connecticut Cooperative Agreement, Dr. Bob Sonawane, EPA Project Monitor Outline Objectives for Pharmacokinetic Comparisons What Information Would We Like to Have to Improve Risk Assessments? What Kinds of Data are Readily Available? How Can the Data Be Summarized and Analyzed to Make it More Useful? Description of the Data Collected To Date Analysis of the Group Mean Data Variability Among Chemicals in Group Mean Pharmacokinetic Parameters for Young Children vs Adults Pharmacokinetic Interindividual Variability Among Young Children Compared with Variability Among Adults Ideal Information for Risk Analyses Specific to Environmental Chemicals of Concern Representative of General Exposed Populations of Different Ages, and Special At-Risk Subgroups Fully Detailed Documentation with Repeated Individual Data--Allows Separation of Real Interindividual Variability from Measurement Errors Treatment of Pharmacodynamic, as Well as Pharmacokinetic Variability Data That Are Readily Available Pharmaceuticals, Administered to Children with Various Medial Needs Sometimes Individual Data, Sometimes Means and Standard Deviations Measurements of Pharmacokinetic Parameters Helpful in Achieving Consistent Internal Doses With Short Courses of Administration—Focus on Volume of Distribution, Clearances, and Elimination Half Lives (For Inorganics) Comparative Predictions from Radiation Dosimetry Models Improving the Usefulness of Available Data with Analysis Assemble and Consolidate Data in a Consistent Form for Analysis Characterize Central Tendencies by Age Group Assess the Magnitude of Differences Among Chemicals in Age-Specific Changes in Pharmacokinetics Assess Whether Differences Among Chemicals in AgeSpecific Central Tendencies Are Associated with Mechanistic Categorizations (e.g. Mode of Elimination) that Could Be Used for Predictions for Environmental Chemicals Assess Changes in the Form and Extent of Individual Subject Differences by Age Group Table 1 Section of the Summary Means Data Base Chemical Alfentanil Metabolic Parameter Units Mean Type CYP3A4 Cl ml/min-kg 1.79 Std Error N Age Range 0.55 11 premature neonates Mea ( ≤ Alfentanil CYP3A4 Cl ml/min-kg 2.78 0.45 18 full term neonates ≤ Alfentanil Alfentanil CYP3A4 CYP3A4 Cl Cl ml/min-kg ml/min-kg 4.73 4.20 0.62 0.78 8 5 4 to 8 Adult 2 Alfentanil CYP3A4 T1/2 min 492 72 11 premature neonates ≤ Alfentanil CYP3A4 T1/2 min 269 32 18 full term neonates ≤ Alfentanil Alfentanil Alfentanil Alfentanil CYP3A4 CYP3A4 CYP3A4 CYP3A4 T1/2 T1/2 T1/2 T1/2 min min min min 40 97 114 105 3 10 8 6 8 5 5 10 4 to 8 Adult Adult 2 2 Combined Adult Alfentanil CYP3A4 Vd ml/kg 909 135 11 premature neonates ≤ Alfentanil CYP3A4 Vd ml/kg 583 55 18 full term neonates ≤ Alfentanil Alfentanil Alfentanil Alfentanil CYP3A4 CYP3A4 CYP3A4 CYP3A4 Vd Vd Vd Vd ml/kg ml/kg ml/kg ml/kg 164 458 294 376 39 72 17 37 8 5 5 10 4 to 8 Adult Adult 2 2 Combined Adult Table 2 Age Groups Represented in the Means Database Data Groups Premature Neonates (≤ 1 wk) 11 Full Term Neonates (≤ 1 wk) 23 Newborns 1 wk- 2 months 51 Early infants 2-6 months 23 Crawlers & Toddlers (6 months -2 yrs) 23 Pre-Adolescents (2-12 years) 55 Adolescents (12-18 years) 7 Adults 69 Total 262 Table 3 Parameters, Chemicals and Subjects in the Means Database Data Groups Chemicals Total Subjects AUC 14 5 108 Clearance 77 22 1944 Cmax 4 2 30 T1/2 103 32 1429 Vd 64 19 803 Full database 262 35 4314 Table 4 Chemicals (Drugs) Represented Alfentanil Amobarbital Ampicillin Antipyrene Bromsulphalein Busulfan Bupivacaine Caffeine Cimetidine Clavulanic Acid Fentanyl Furosemide Gentamicin Ketamine Lignocaine Lorazepam Mepivicaine Metoclopramide Midazolam Morphine Nifedipine Oxazepam Paracetamol (acetaminophen) Piperacillin Quinidine Remifentanil Teniposide Theophylline Ticarcillin Tobramycin Tolbutamide Triazolam Valproic Acid Vancomycin Zidovudine Predominant Modes of Elimination Represented in the Means Database Data Groups Renal 56 P450 any 134 CYP3A 52 CYP1A2 52 P450 other than 3A or 1A2 30 Glucuronidation and Sulfation 53 Unclassified 19 Table 6 Multiple Regression Analysis for the Means Database For Data Groups Within Each Parameter: Log(Mean) = B1*(1 or 0 for chemical 1) + B2*(1 or 0 for chemical 2) + … + Ba*(1 or 0 for age group 1) + Bb*(1 or 0 for age group 2) + … Chemical-specific “B’s” correct for differences among chemicals in average clearance relative to a specific reference chemical (e.g., theophylline) Age-group-specific “B’s” assess the average log differences between each age group and the reference group (adults). Table 7 Weighting Options Explored Equal weight for each data group Weight Equal to the Square Root of N (some imputations needed when N not given) Weight Equal to the Inverse of the Square of the Ratio of the Standard Error to the Mean (additional imputations needed when either N or standard deviation was not given) Table 8 Example of the Full Regression Results from One Run Dependent Variable—Log(Mean Clearance) Weighting—Equal Weights for Each Datagroup RSquare Root Mean Square Error Mean of Response Observations (or Sum Wgts) Parameter Estimates Term Intercept Alfentanil Antipyrene Bromsulphalein Bupivacaine Caffeine Clavulanic Acid Fentanyl Furosemide Gentamicin Ketamine Lignocaine Lorazepam Midazolam Morphine Paracetamol (ac Quinidine Remifentanil Teniposide Ticarcillin Valproic Acid Vancomycin Premature Neona Full Term Neona 1 wk- 2 months 2-6 months Crawlers & Todd Pre-Adolescents Adolescents (12 0.949 0.187 0.390 77 Estimate Std Error -0.01 0.07 Antilog 0.26 0.41 0.55 0.95 1.45 1.28 0.77 t Ratio -0.19 Prob>|t| 0.8497 0.73 -0.11 0.97 0.87 -0.20 0.60 1.22 0.12 0.16 1.35 1.13 -0.08 0.86 1.21 -0.41 0.82 1.65 -0.24 0.33 -0.45 0.07 0.11 0.15 0.09 0.12 0.13 0.12 0.11 0.12 0.15 0.11 0.15 0.15 0.15 0.09 0.15 0.15 0.15 0.13 0.12 0.13 0.15 6.57 -0.72 10.28 7.12 -1.6 4.86 11.29 1 1.11 12.52 7.71 -0.55 5.93 12.95 -2.73 5.33 11.35 -1.86 2.65 -3.52 0.46 <.0001 0.4732 <.0001 <.0001 0.1151 <.0001 <.0001 0.3244 0.2708 <.0001 <.0001 0.5822 <.0001 <.0001 0.0089 <.0001 <.0001 0.0697 0.0107 0.001 0.6462 -0.59 -0.39 -0.26 -0.02 0.16 0.11 -0.12 0.11 0.10 0.07 0.09 0.09 0.07 0.13 -5.17 -3.85 -3.6 -0.23 1.73 1.45 -0.9 <.0001 0.0003 0.0008 0.82 0.09 0.15 0.37 Table 9 Summary Regression Results Using Square Root of N Weighting Dependent Variable—Log(Mean Clearance) Weighting—Square Root of N RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) Parameter Estimates Term Intercept (Chemicals omitted) Premature Neonates Full Term Neonates 1 wk- 2 months 2-6 months Crawlers & Toddlers 6 mo – 2 yr Pre-Adolescents 2-12 yr Adolescents 12-18 yr 0.949 0.920 0.342 0.333 291 Antilog Estimate Std Error -0.038 0.063 t Ratio Prob>|t| -0.6 0.5536 0.25 0.43 0.59 0.97 1.49 -0.611 -0.371 -0.233 -0.011 0.174 0.108 0.093 0.068 0.095 0.091 -5.64 -3.99 -3.41 -0.12 1.92 <.0001 0.0002 0.0013 0.91 0.06 1.35 0.84 0.131 -0.075 0.070 0.120 1.86 -0.62 0.07 0.54 Table 10 Summary Regression Results Using Inverse Standard Error Variance Weighting Dependent Variable—Log(Mean Clearance) Weighting—Inverse Standard Error Variance RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.983 0.973 1.455 0.467 27236 Parameter Estimates Term Antilog Estimate Std Error Intercept -0.045 0.036 (Chemicals omitted) Premature Neonates 0.29 -0.530 0.120 Full Term Neonates 0.62 -0.211 0.046 1 wk- 2 months 0.73 -0.136 0.043 2-6 months 1.14 0.056 0.061 Crawlers & Toddlers 6 mo – 1.55 0.190 0.065 2 yr Pre-Adolescents 2-12 yr 1.33 0.125 0.042 Adolescents 12-18 yr 0.88 -0.055 0.096 t Ratio Prob>|t| -1.23 0.22 -4.43 -4.53 -3.17 0.92 2.9 <.0001 <.0001 0.0027 0.36 0.0056 3.02 -0.57 0.0041 0.57 Table 11 Summary Regression Results Using Inverse Standard Error Variance Weighting Dependent Variable—Log(Elimination Half Life) Weighting— Inverse Standard Error Variance RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.984 0.975 2.514 -0.172 39462 Parameter Estimates Term Antilog Estimate Std Error Intercept 0.885 0.041 (Chemicals omitted) Premature Neonates 3.91 0.592 0.141 Full Term Neonates 2.05 0.313 0.072 1 wk- 2 months 1.88 0.275 0.051 2-6 months 1.17 0.067 0.066 Crawlers & Toddlers 6 mo – 0.86 -0.065 0.088 2 yr Pre-Adolescents 2-12 yr 0.98 -0.008 0.046 Adolescents 12-18 yr 1.06 0.027 0.169 t Ratio Prob>|t| 21.84 <.0001 4.19 4.36 5.38 1.02 -0.74 <.0001 <.0001 <.0001 0.31 0.46 -0.18 0.16 0.86 0.87 Table 12 Summary Regression Results Using Inverse Standard Error Variance Weighting Dependent Variable—Log(Volume of Distribution) Weighting— Inverse Standard Error Variance RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.933 0.889 1.780 -0.256 15421 Parameter Estimates Term Antilog Estimate Std Error Intercept -0.378 0.033 (Chemicals omitted) Premature Neonates 1.84 0.265 0.115 Full Term Neonates 1.09 0.038 0.111 1 wk- 2 months 1.46 0.166 0.073 2-6 months 1.27 0.102 0.089 Crawlers & Toddlers 6 mo – 1.38 0.138 0.088 2 yr Pre-Adolescents 2-12 yr 1.07 0.029 0.044 Adolescents 12-18 yr 0.94 -0.027 0.187 t Ratio Prob>|t| -11.52 <.0001 2.29 0.34 2.28 1.15 1.58 0.0276 0.74 0.02 0.26 0.12 0.65 -0.14 0.52 0.89 Table 13 Summary Regression Results for Elimination Half Lives for Chemical Subsets by Mode of Elimination Any P450: Term Antilog Estimate Std Error t Ratio Prob>|t| Premature Neona 4.40 0.644 0.211 3.04 0.0051 Full Term Neona 2.27 0.356 0.110 3.22 0.0033 1 wk- 2 months 2.12 0.326 0.076 4.26 0.0002 2-6 months 1.35 0.129 0.099 1.31 0.20 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