population pharmacokinetic model of sildenafil describing

1
Jeongki Paek 1 Jongtae Lee 1 Sangil Jeon 1 Taegon Hong 1 Seunghoon Han 1 Mingul Kim 2 Min-Su Park 3 Cheoul-Woo Kim 4 Dong-Seok Yim 1 1 Dept. of Clinical Pharmacology & Therapeutics, Seoul St.Mary’s Hospital, the Catholic Univ. of Korea, Seoul, Korea 2 Chunbuk National Univ. Hospital, 3 Yonsei Univ. Hospital, 4 Inha Univ. Hospital BACKGROUND Although sildenafil is an old drug, its population PK has been rather neglected. This PK modeling was performed to investigate the PK characteristics of sildenafil (Viagra®) using data from several different comparative PK studies in healthy male Korean subjects. The major active metabolite (N-desmethyl sildenafil, NDS) was also modeled. METHODS Non-linear mixed effect analysis (NONMEM ver 7.2) was performed using a total of 6,130 observations (3,065 for each chemical entity) from 223 subjects (27.5 observations / subject) obtained after single 50-100 mg sildenafil citrate dose in 5 PK studies. The samples were collected just before and 0.17, 0.33, 0.5, 0.67, 0.83, 1, 1.25, 1.5, 1.75, 2, 3, 4, 6, 8, 12 and 24 hours after dosing. First-order conditional estimation method with interaction option was used for all applicable minimization process. RESULTS CONCLUSION The first pass effect model successfully described the time-concentration profile of sildenafil and its major metabolite in this population PK model. RESULTS Population pharmacokinetic model of sildenafil describing first-pass effect to its metabolite FINAL PARAMETER ESTIMATES A two-compartment first-order elimination model was finally chosen for both sildenafil and NDS. The absorption of sildenafil and the first-pass metabolism to NDS were best with zero-order process. The population PK parameter estimates are summarized in the table. Parameter Description (units) Estimate Fixed Effects CL Clearance (L/h) 10.3 V1 Volume of central compartment (L) 124 D1 Duration for central compartment (h) 0.28 V2 Volume of peripheral compartment (L) 272 Q Inter-compartmental clearance (L/h) 6.01 QM Inter-compartmental clearance, patrent-metabolite (L/h) 40.8 CLM Clearance, metabolite (L/h) 126 MIC Inter-compartmental clearance, metabolite (L/h) 46.4 F1 Bioavailability for central compartment 0.78 Inter-individual variability (Estimates presented in CV%) ω CL 2 BSV of CL 32.5 ω V1 2 BSV of V1 12.8 ω D1 2 BSV of D1 95.4 ω QM 2 BSV of QM 11.2 ω CLM 2 BSV of CLM 21.8 ω MIC 2 BSV of MIC 10.5 Intra-individual variability Σ 1 2 Residual error (proportional) 0.371 Σ 3 2 Residual error (proportional, metabolite) 0.476 RSE : Relative standard error 95% CI : 95% Confidence interval REFERENCE 1. Peter A. Milligan, Scott F. Marshall, Mats O. Karlsson(2002) ’A population pharmacokinetic analysis of sildenafil citrate in patients with erectile dysfunction’, British Journal of Clinical Pharmacology, 53: 1, 45 – 52 2. Donald J. Nichols, Gary J. Muirhead, Jane A. Harness(2002) ‘Pharmacokinetics of sildenafil after single oral doses in healthy male subjects: absolute bioavailability, food effects and dose proportionality’, British Journal of Clinical Pharmacology, 53: 1, 5 – 12 3. D. K. Walker, M. J. Ackland, G. C. James, G. J. Muirhead , D. J. Rance, P. Wastall, P. A. Wright(1999) ‘Pharmacokinetics and metabolism of sildenafil in mouse, rat, rabbit, dog and man’, XENOBIOTICA, 29: 3, 297 – 310 4. Gary J. Muirhead, Keith Wilner, Wayne Colburn, Gertrude Haug-Pihale, Bernhard Rouviex(2002) ‘The effects of age and renal and hepatic impairment on the pharmacokinetics of sildenafil citrate’, British Journal of Clinical Pharmacology, 53: 1, 21 – 30 Population Prediction (ng/mL) Observation (ng/mL) 0 200 400 600 800 1000 1200 0 100 200 300 400 500 600 Individual Prediction (ng/mL) Observation (ng/mL) 0 200 400 600 800 1000 1200 0 200 400 600 800 Individual Prediction (ng/mL) |IWRES| 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0 200 400 600 800 Time after the dose (hour) IWRES -2 -1 0 1 2 3 0 5 10 15 20 25 GOODNESS OF FIT PLOT Parent Metabolite Population Prediction (ng/mL) Observation (ng/mL) 0 100 200 300 400 500 0 50 100 150 Individual Prediction (ng/mL) Observation (ng/mL) 0 100 200 300 400 500 0 50 100 150 200 250 Individual Prediction (ng/mL) |IWRES| 0 1 2 3 0 50 100 150 200 250 Time after the dose (hour) IWRES -2 -1 0 1 2 3 0 5 10 15 20 25 DOSE Central Compartment Central Compartment metabolite Q CL MIC Peripheral Compartment Peripheral Compartment metabolite QM CLM D1 D3 FINAL MODEL STRUCTURE PATIENT DEMOGRAPHICS Variable a Mean (range) Age (years) 24.5 (20 – 41) Sex (male/female) 223 / 0 Weight (kg) 68.4 (50.5 – 92.9) Bilirubin 0.874 (0.32 – 1.74) AST 20.3 (12 – 37) ALT 19.2 (7 –53) a Mean (range) for continuous variables and actual number of subject for categorical variables were presented VPC PLOT Metabolite Parent

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Page 1: Population pharmacokinetic model of sildenafil describing

Jeongki Paek1 Jongtae Lee1 Sangil Jeon1 Taegon Hong1 Seunghoon Han1 Mingul Kim2 Min-Su Park3 Cheoul-Woo Kim4 Dong-Seok Yim1 1 Dept. of Clinical Pharmacology & Therapeutics, Seoul St.Mary’s Hospital, the Catholic Univ. of Korea, Seoul, Korea

2Chunbuk National Univ. Hospital, 3Yonsei Univ. Hospital, 4Inha Univ. Hospital

BACKGROUND

Although sildenafil is an old drug, its population PK has been rather neglected. This PK modeling was performed to investigate the PK characteristics of

sildenafil (Viagra®) using data from several different comparative PK studies in healthy male Korean subjects. The major active metabolite (N-desmethyl

sildenafil, NDS) was also modeled.

METHODS

Non-linear mixed effect analysis (NONMEM ver 7.2) was performed using a total of 6,130 observations (3,065 for each chemical entity) from 223 subjects

(27.5 observations / subject) obtained after single 50-100 mg sildenafil citrate dose in 5 PK studies. The samples were collected just before and 0.17,

0.33, 0.5, 0.67, 0.83, 1, 1.25, 1.5, 1.75, 2, 3, 4, 6, 8, 12 and 24 hours after dosing. First-order conditional estimation method with interaction option was

used for all applicable minimization process.

RESULTS

CONCLUSION

The first pass effect model successfully described the time-concentration profile of sildenafil and its major metabolite in this population PK model.

RESULTS

Population pharmacokinetic model of sildenafil describing first-pass effect to its metabolite

FINAL PARAMETER ESTIMATES

A two-compartment first-order elimination model was finally chosen for both sildenafil

and NDS. The absorption of sildenafil and the first-pass metabolism to NDS were best

with zero-order process. The population PK parameter estimates are summarized in the

table.

Parameter Description (units) Estimate

Fixed Effects

CL Clearance (L/h) 10.3

V1 Volume of central compartment (L) 124

D1 Duration for central compartment (h) 0.28

V2 Volume of peripheral compartment (L) 272

Q Inter-compartmental clearance (L/h) 6.01

QM Inter-compartmental clearance,

patrent-metabolite (L/h)

40.8

CLM Clearance, metabolite (L/h) 126

MIC Inter-compartmental clearance, metabolite (L/h) 46.4

F1 Bioavailability for central compartment 0.78

Inter-individual variability (Estimates presented in CV%)

ωCL2 BSV of CL 32.5

ωV12 BSV of V1 12.8

ωD12 BSV of D1 95.4

ωQM2 BSV of QM 11.2

ωCLM2 BSV of CLM 21.8

ωMIC2 BSV of MIC 10.5

Intra-individual variability

Σ12 Residual error (proportional) 0.371

Σ32 Residual error (proportional, metabolite) 0.476

RSE : Relative standard error 95% CI : 95% Confidence interval

REFERENCE 1. Peter A. Milligan, Scott F. Marshall, Mats O. Karlsson(2002) ’A population pharmacokinetic analysis of sildenafil citrate in patients with erectile dysfunction’, British Journal of Clinical Pharmacology, 53: 1, 45 – 52

2. Donald J. Nichols, Gary J. Muirhead, Jane A. Harness(2002) ‘Pharmacokinetics of sildenafil after single oral doses in healthy male subjects: absolute bioavailability, food effects and dose proportionality’, British Journal of Clinical Pharmacology, 53: 1, 5 – 12

3. D. K. Walker, M. J. Ackland, G. C. James, G. J. Muirhead�, D. J. Rance, P. Wastall, P. A. Wright(1999) ‘Pharmacokinetics and metabolism of sildenafil in mouse, rat, rabbit, dog and man’, XENOBIOTICA, 29: 3, 297 – 310

4. Gary J. Muirhead, Keith Wilner, Wayne Colburn, Gertrude Haug-Pihale, Bernhard Rouviex(2002) ‘The effects of age and renal and hepatic impairment on the pharmacokinetics of sildenafil citrate’, British Journal of Clinical Pharmacology, 53: 1, 21 – 30

Population Prediction (ng/mL)

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Individual Prediction (ng/mL)

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Individual Prediction (ng/mL)

|IW

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Time after the dose (hour)

IWR

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GOODNESS OF FIT PLOT

Parent

Metabolite

Population Prediction (ng/mL)

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/mL

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200

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Individual Prediction (ng/mL)

Ob

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Individual Prediction (ng/mL)

|IW

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Time after the dose (hour)

IWR

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DOSE

Central Compartment

Central Compartment

metabolite

Q

CL

MIC Peripheral

Compartment

Peripheral Compartment

metabolite QM CLM

D1 D3

FINAL MODEL STRUCTURE

PATIENT DEMOGRAPHICS

Variablea Mean (range)

Age (years) 24.5 (20 – 41)

Sex (male/female) 223 / 0

Weight (kg) 68.4 (50.5 – 92.9)

Bilirubin 0.874 (0.32 – 1.74)

AST 20.3 (12 – 37)

ALT 19.2 (7 –53)

aMean (range) for continuous variables and actual number of subject for

categorical variables were presented

VPC PLOT

Metabolite

Parent