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  • 7/29/2019 Pharma Gel Slide

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    London Schoolof Pharmacy

    UCL Institute of

    Child Health

    Centre for

    Paediatric

    Pharmacy

    Research

    DevelopmentalPharmacokinetics of

    Diclofenac for Acute Pain

    Standing JF, Howard RF, Johnston A,

    Savage I, Wong ICK.

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    ResearchDiclofenac

    NSAID

    pKa ~ 4

    Oral F(unchanged) = 60% Protein binding > 99.7%

    (Davies 1997)

    Linear PK between 50 and 150mg(Lau 1989)

    Time dependent COX-2 inhibition(Blobaum 2007, Rowlinson 2003)

    NH

    Cl

    Cl

    O

    OH

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    Research

    Diclofenac

    Drug No (%) of prescriptions(n=1053)

    Diclofenac sodium 51 (5)

    Morphine 48 (5)

    Oxybutynin 23 (2)

    Paracetamol 15 (1)

    Ranitidine 12 (1)Sodium bicarbonate 6 (

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    Diclofenac Pharmacodynamics

    (McQuay 1998)

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    Diclofenac Pharmacodynamics

    (McQuay 1998)Diclofenac dose (mg)

    NNT for 50%pain relief

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    Diclofenac Pharmacodynamics

    In children: (Romsing 1997)

    pain scores opioid requirements paracetamol requirements

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    Paediatric Dosing

    0.5mg/kg (Tay 2002)

    1mg/kg (Mendham 1996)

    2mg/kg (Nishina 2000)

    2.5mg/kg (McGowan 1998)

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    Research

    Overview

    Introduction

    Aims/Methods

    Results Model Evaluation

    Dose Simulations

    Conclusions

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    Aim

    Predict a paediatric dose

    which gives a similar AUC to

    50mg in adults

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    Pharmacy

    Research

    Method

    Adult rich data (30 volunteers)

    Paediatric patients minor surgery

    Pre-op 1mg/kg dose, 3 bloodsamples, digital watch

    Pooled PopPK analysis withNONMEM (FOCE INTER)

    Allometric scaling on CL and VDa priori

    Simulations to predict dose

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    Demographics

    74 children recruited:

    3 spat out dose

    1 refused to be anaesthetised Pooled analysis:

    100 subjects (30 adults 70 children)

    558 serum concentrations

    Weight range 9-93kg

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    Raw Data

    Semi-Logarithmic Scatter Graph of Raw Diclofenac

    Concentrations Versus Time

    1

    10

    100

    1000

    10000

    0 2 4 6 8 10 12

    Time (hr)

    Diclofenacserum

    concentration(nmol/L)

    Adult volunteers

    Paediatric Patients

    Scatter Graph of Raw Diclofenac Concentrations Versus

    Time

    0

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    6000

    8000

    10000

    0 2 4 6 8 10 12

    Time (hr)

    Diclofenacserum

    concentration(nmol/L)

    Adult volunteers

    Paediatric Patients

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    Raw Data

    0

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    5000

    0 2 4 6 8

    Diclofen

    acserumconcentration(nmo

    l/L)

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    500

    1000

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    0 1 2 3 4 5 6 7

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    0

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    2500

    3000

    3500

    4000

    4500

    5000

    0 1 2 3 4 5 6 7

    Time (hr)

    Graphs Showing Raw Plots of Diclofenac Serum Concentration Versus Time for

    Eight Adult Volunteers

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    Structural Model Building

    One compartment

    Two compartment

    Dual absorption one compartment

    Dual absorption two compartment

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    Final Structural Model

    MTT1

    Ka1

    Dose 1 T0 Tn DEPOT 1

    CL

    N1 F1CENTRAL

    N2 F2 Ke

    VD

    Dose 2 T0 Tn DEPOT 2Ka2

    MTT2

    Tn = Transit compartment.

    The following fixed effects were estimated in NONMEM:

    MTT1 = Mean transit time into first depot compartment (hr).

    N1 = Number of transit compartments prior to first depot compartment.F1 = Fraction absorbed from first depot compartment.

    t1/2A1 = Absorption half-life from first depot compartment (hr) = ln2/Ka1.

    MTT2 = Mean transit time into second depot compartment (hr).N2 = Number of transit compartments prior to second depot compartment.

    F2 = Fraction absorbed from second depot compartment (fixed to = 1 F1).t1/2A2 = Absorption half-life from second depot compartment (hr) = ln2/Ka2.

    VD = Volume of distribution (L).CL = Clearance (L/hr) = VD x Ke.

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    Model Evaluation

    IPRED vs DVScatter Graph of Pooled Data: Dual Absorption Transit

    Model, Observed Concentrations Versus Individual

    Predictions

    0

    1000

    20003000

    4000

    5000

    6000

    7000

    80009000

    0 1000 2000 3000 4000 5000 6000 7000 8000 9000

    Individual predicted diclofenac concentration (nmol/L)

    Observeddiclofenac

    concentration(nmol/L)

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    Model Evaluation

    WRES vs Time

    Scatter Graph of Pooled Data: Dual Absorption Compartment

    Transit Absorption Model, Weighted Residual Versus Time

    -15

    -10

    -5

    0

    5

    10

    15

    0 12

    Time (hr)

    Weig

    htedresidual

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    Model Evaluation

    Mainly focussed on simulated

    data from model

    Shrinkage

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    Model Evaluation

    Visual Predictive CheckVisual Predictive Check of Dual Absorption Transit Model: Median, 5th and 95th

    percentile of simulated data and raw data of dual transit model

    0

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    0 2 4 6 8 10 12

    Time (hr)

    Diclofenacs

    erumconcentration(nm

    ol/L)

    Median

    95th Percentile

    5th Percentile

    Raw Data

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    Model Evaluation

    Mirror Plots (Xpose 4)

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    Model Evaluation

    Predictive Check Mean (standard deviation) AUC from

    raw adult data calculated in

    WinNonlin =

    3368 (879)nmol.hr/L

    Mean AUC from 3000 simulated

    adults =2806 nmol.hr/L

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    Age-Related Changes

    Geometric mean standardised CL

    values:

    1-3 years: 52.9 L/hr/70kg

    4-12 years: 50.8 L/hr/70kg

    Adults: 50.4 L/hr/70kg

    ADME adult equivalent by 1 year

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    Overview

    Introduction

    Aims/Methods

    Results Model Evaluation

    Dose Simulations

    Conclusions

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    Simulations

    Dose levels:

    0.5mg/kg

    1mg/kg

    1.5mg/kg

    2mg/kg

    AUC ratio:

    Child AUC: Adult 50mg AUC

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    Dose Simulations

    Best dose = 1mg/kg:

    Paediatric AUC: Adult AUC Ratio

    1-3 years: 1.00

    4-6 years: 1.08

    7-12 years: 1.18

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    Conclusions

    1mg/kg optimum dose of

    diclofenac for acute pain in

    children

    Allometric size models adequately

    explained CL and VD changes

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    Acknowledgements

    Jeff Rothwell, Rosemont

    Pharmaceuticals

    Hussain Mulla & Brian Anderson

    Anaesthetic and nursing staff at GOSH

    Patients who took part

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    ReferencesBlobaum AL & Marnett LJ. 2007. Molecular determinants for the selective inhibition of cyclooxygenase-2 by

    lumiracoxib. The Journal of Biological Chemistry, 282:16379-90.

    Davies NM & Anderson KE. 1997. Clinical pharmacokinetics of diclofenac. Clinical Pharmacokinetics,33:184-213.

    Kleiber M. 1947. Body size and metabolic rate. Physiological Reviews, 27: 511-41.

    Lau HSH, Chan K, Shum L, Adair S, Ross H, Eyring H, Gause D, John V. 1989. Dose proportionality ofdiclofenac sodium (Voltaren) in man. (conference abstract) Pharmaceutical Research, 6:S194.

    McGowan PR, May H, Molnar Z, Cunliffe M. 1998. A comparison of three methods of analgesia in childrenhaving day case circumscision. Paediatric Anaesthesia, 8:403-7.

    McQuay HJ & Moore RA. 1998. Postoperative analgesia and vomiting, with special reference to day-casesurgery: a systematic review. Health Technology Assessment 2:1-236, Winchester, UK.

    Mendham JE, Mather SJ. 1996. Comparison of diclofenac and tenoxicam for postoperative analgesia with

    and without fentanyl in children undergoing adenotonsillectomy or tonsillectomy. PaediatricAnaesthesia, 6:467-73.

    Meibohm B, Lear S, Pancetta JC, Barrett JS. 2005. Population pharmacokinetic studies in pediatrics: issuesin design and analysis. The AAPS Journal, 7:E475-87.

    Nishina K, Mikawa K, Shiga M, Takao Y, Maekawa N, Obara H. 2000, Diclofenac and flurbiprofen with orwithout clonidine for postoperative analgesia in children undergoing elective ophthalmological surgery.Paediatric Anaesthesia, 10:645-51.

    Romsing J & Walther-Larsen S. 1997. Peri-operative use of nonsteroidal anti-inflammatory drugs in children:analgesic efficacy and bleeding. Anaesthesia, 52:673-83.

    Rowlinson SW, Kiefer JR, Prusakiewicz JJ, Pawlitz JL, Kozak KR, Kalgutkar AS, Stallings WC, Kurumbail

    RG, Marnett LJ. 2003. A novel mechanism of cyclooxygenase-2 inhibition involving interactions withSer-530 and Tyr-385. Journal of Biological Chemistry, 46:45763-9.

    Savic R, Jonker DM, Kerbusch T, Karlsson MO. 2004. Evaluation of a transit compartment model versus alag time model for describing drug absorption delay. PAGE Abstract.

    Tay CLM, Tan S. 2002. Diclofenac or paracetamol for analgesia in paediatric myringotomy outpatients.Anaesthesia ans Intensive Care, 30:55-9.

    Turner S, Longworth A, Nunn AJ, Choonara I. 1998. Unlicensed and off label drug use in paediatric wards:prospective study. British Medical Journal, 316:343-5.

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    Extra slides

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    Individual Plots (Adults)

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    Model Evaluation

    Mirror Plots (Xpose 4)

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    Model Evaluation

    Mirror Plots (Xpose 4)

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    Model Evaluation

    Mirror Plots (Xpose 4)

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    Covariates

    Scatter Graph of Standardised Clearance Estimatesfrom Final Model Versus Age

    0

    20

    40

    60

    80

    100

    120

    0 5 10 15 20 25 30

    Age (years)

    CLSTD

    /F(L/hr/

    70kg

    )

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    Covariates

    Scatter Graph of Standardised Volume of Distribution

    Estimates from Final Model Versus Age

    0

    5

    10

    15

    20

    25

    0 5 10 15 20 25 30

    Age (years)

    VDSTD/F

    (L/70kg)

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    ShrinkageScatter Graph of Pooled Data: Dual Absorption Transit

    Model, Observed Concentrations Versus Individual

    Predictions

    01000

    2000

    3000

    4000

    5000

    6000

    7000

    8000

    9000

    0 1000 2000 3000 4000 5000 6000 7000 8000 9000

    Individual predicted diclofenac concentration (nmol/L)

    Ob

    serveddiclofenac

    con

    centration(nmol/L)

    Scatter Graph o f Peadiatric Data: Dual Absorption

    Compartment Transit Absorption Model, Observed

    Concentration Ver sus Individual Predictions

    0

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    80009000

    0 1000 2000 3000 4000 5000 6000 7000 8000 9000

    Individual predicted diclofenac concentration (nmol/L)

    Observeddiclofenac

    concentration(nmol/L)

    Pooled

    DV vs

    IPRED

    PaediatricDV vs

    IPRED

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    Final Parameter EstimatesNONMEM estimates from final model.

    Fixed effects () Random effects ()

    Parameter Estimate Inter-individual

    variability (%)

    Between occasion

    variability (%)

    MTT1 (hr) 0.68 82 -

    N1 1.03 102 -

    F1 0.70 24 -

    t1/2A1 (hr) 0.09 31 -

    MTT2 (hr) 1.37 117 -

    N2 41.60 147 -

    t1/2A2 (hr) 1.06 49 -

    VD/F (L/70kg) 4.84 54 93CL/F (L/hr/70kg) 53.98 26 20

    Residual variability () (%):

    Adult data: 29

    Paediatric data: 18

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    Dose Simulations