Erratum: A physiologically-based recirculatory meta-model for nasal fentanyl in man (Journal of Pharmacokinetics and Pharmacodynamics (2012) 39 (561-576) DOI 10.1007/s10928-012-9268-y);A physiologically-based recirculatory meta-model for nasal fentanyl in man

Journal of Pharmacokinetics and Pharmacodynamics

Volumn 39, Issue 5, 2012, Pages 561-576

  Upton, Richard N ^a   Foster, David J R ^a   Christrup, Lona L ^b   Dale, Ola ^c   Moksnes, Kristin ^c   Popper, Lars ^d  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

^c NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^d Nycomed Denmark   (Denmark)

Author keywords

Fentanyl; Intravenous; Meta model; Nasal; PB PK; PK PD; Population; Recirculatory

Indexed keywords

FENTANYL;

ALLOMETRY; ANIMAL TISSUE; ARTICLE; BLOOD FLOW; BODY SIZE; BODY WEIGHT; DRUG BLOOD LEVEL; DRUG CLEARANCE; DRUG DISTRIBUTION; DRUG HALF LIFE; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONHUMAN; ORGAN SIZE; PAIN ASSESSMENT; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SCORING SYSTEM;

EID: 84870420580     PISSN: 1567567X     EISSN: 15738744     Source Type: Journal    
DOI: 10.1007/s10928-013-9298-0     Document Type: Erratum

References (46)

1. Mather LE (1983) Clinical pharmacokinetics of fentanyl and its newer derivatives. Clin Pharmacokinet 8:422-446
2. Shafer SL, Varvel JR (1991) Pharmacokinetics, pharmacodynamics, and rational opioid selection. Anesthesiology 74(1):53-63
3. Upton RN, Grant C, Martinez AM, Ludbrook GL (2004) Recirculatory model of fentanyl disposition with the brain as the target organ. Br J Anaesth 93(5):687-697
4. Villesen HH, Foster DJ, Upton RN, Somogyi AA, Martinez A, Grant C (2006) Cerebral kinetics of oxycodone in conscious sheep. J Pharm Sci 95:1666-1676
5. Yassen A, Kan J, Olofsen E, Suidgeest E, Dahan A, Danhof M (2006) Mechanism-based pharmacokinetic-pharmacodynamic modeling of the respiratory-depressant effect of buprenorphine and fentanyl in rats. J Pharmacol Exp Ther 319(2):682-692
6. Yassen A, Olofsen E, Dahan A, Danhof M (2005) Pharmacokinetic- pharmacodynamic modeling of the antinociceptive effect of buprenorphine and fentanyl in rats: role of receptor equilibration kinetics. J Pharmacol Exp Ther 313(3):1136-1149
7. Scott JC, Stanski DR (1987) Decreased fentanyl and alfentanil dose requirements with age. A simultaneous pharmacokinetic and pharmacodynamic evaluation. J Pharmacol Exp Ther 240(1):159-166
8. Christrup LL, Foster D, Popper LD, Troen T, Upton R (2008) Pharmacokinetics, efficacy, and tolerability of fentanyl following intranasal versus intravenous administration in adults undergoing third-molar extraction: a randomized, double-blind, double-dummy, two-way, crossover study. Clin Ther 30(3):469-481
9. Andresen T, Upton RN, Foster DJ, Christrup LL, Arendt-Nielsen L, Drewes AM (2011) Pharmacokinetic/pharmacodynamic relationships of transdermal buprenorphine and fentanyl in experimental human pain models. Basic Clin Pharmacol Toxicol 108(4):274-284
10. Moksnes K, Fredheim OM, Klepstad P, Kaasa S, Angelsen A, Nilsen T, Dale O (2008) Early pharmacokinetics of nasal fentanyl: is there a significant arterio-venous difference? Eur J Clin Pharmacol 64(5):497-502
11. Verotta D, Beal SL, Sheiner LB (1989) Semiparametric approach to pharmacokinetic-pharmacodynamic data. Am J Physiol 256(4 Pt 2):R1005-R1010
12. Jacobs JR, Nath PA (1995) Compartment model to describe peripheral arterial-venous drug concentration gradients with drug elimination from the venous sampling compartment. J Pharm Sci 84(3):370-375
13. Nesterov I (2007) Whole-body physiologically based pharmacokinetic models. Expert Opin Drug Metab Toxicol 3(2):235-249
14. Krejcie TC, Henthorn TK, Shanks CA, Avram MJ (1994) A recirculatory pharmacokinetic model describing the circulatory mixing, tissue distribution and elimination of antipyrine in the dog. J Pharmacol Exp Ther 269:609-616
15. Upton RN, Ludbrook G (2005) A physiologically based, recirculatory model of the kinetics and dynamics of propofol in man. Anesthesiology 103(2):344-352
16. Weiss M, Hubner GH, Hubner IG, Teichmann W (1996) Effects of cardiac output on disposition kinetics of sorbitol: recirculatory modelling. Br J Clin Pharmacol 41:261-268
17. Nesterov I (2003) Whole body pharmacokinetic models. Clin Pharmacokinet 42(10):883-908
18. Krejcie TC, Avram MJ (1999) What determines anesthetic induction dose? Its the front end kinetics, Doctor! Anesth Analg 89:541-544
19. Masui K, Upton RN, Doufas AG, Coetzee JF, Kazama T, Mortier EP, Struys MM (2010) Performance of compartmental and physiologically-based, recirculatory pharmacokinetic models for propofol. A comparison during bolus, continuous and targetcontrolled infusion. Anesth Analg 111(2):368-379
20. R Development Core Team (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
21. Upton RN (2004) The two-compartment recirculatory model - an introduction to recirculatory pharmacokinetic concepts. Br J Anaesth 92(4):475-484
22. WestGB,BrownJH,EnquistBJ (1997)Ageneral model for the origin of allometric scaling laws in biology. Science 276(5309):122-126
23. Anderson BJ, Holford NH (2008) Mechanism-based concepts of size and maturity in pharmacokinetics. Annu Rev Pharmacol Toxicol 48:303-332
24. de Simone G, Devereux RB, Daniels SR, Mureddu G, Roman MJ, Kimball TR, Greco R, Witt S, Contaldo F (1997) Stroke volume and cardiac output in normotensive children and adults. Assessment of relations with body size and impact of overweight. Circulation 95(7):1837-1843
25. Kazama T, Ikeda K, Morita K, Ikeda T, Mutsuhito M, Sato S (2001) Relation between initial blood distribution volume and propofol induction dose requirement. Anesthesiology 94:205-210
26. Kazama T, Morita K, Ikeda T, Kurita T, Sato S (2003) Comparison of predicted induction dose with predetermined physiologic characteristics of patients and with pharmacokinetic models incorporating those characteristics as covariates. Anesthesiology 98:299-305
27. Levitt DG (2003) The pharmacokinetics of the interstitial space in humans. BMC Clin Pharmacol 3:3
28. Tod M, Lagneau F, Jullien V, Mimoz O (2008) A physiological model to evaluate drug kinetics in patients with hemorrhagic shock followed by fluid resuscitation: application to amoxicillinclavulanate. Pharm Res 25(6):1431-1439
29. Rodgers T, Leahy D, Rowland M (2005) Physiologically based pharmacokinetic modeling 1: predicting the tissue distribution of moderate-to-strong bases. J Pharm Sci 94(6):1259-1276
30. Rowland M, Tozer TN (1989) Clinical pharmacokinetics, 2nd edn. Lea and Febiger, Philadelphia
31. Watanabe K, Bois FY, Zeise L (1992) Interspecies extrapolation: a reexamination of acute toxicity data. Risk Anal 12(2):301-310
32. Foster DJ, Upton RN, Christrup LL, Popper LD (2008) Pharmacokinetic- pharmacodynamic modeling of the anti-nociceptive effect of fentanyl following intranasal and intravenous administration in patients with postoperative pain after oral surgery. Ann Pharmacother 42:1380-1387
33. Upton RN, Semple TJ, Macintyre PE (1997) Pharmacokinetic optimisation of opioid treatment in acute pain therapy. Clin Pharmacokinet 33(3):225-244
34. Upton RN (1996) A model of the first pass passage of drugs from i.v. injection site to the heart - parameter estimates for lignocaine in the sheep. Br J Anaesth 77(6):764-772
35. Ainslie SG, Eisele JH, Corkill G (1979) Fentanyl concentrations in brain and serum during respiratory acid-base changes in the dog. Anesthesiology 51:293-297
36. Corrigan B, Ahadieh S, Miller R, Ito K, Tensfeldt T, Marshall S, Chan P, Rosario M, Chapel S, Logan E, Krishnaswami S (2007) Model-based meta-analyses vs. clinical impressionism: challenges and rewards. AAPS Newsmagazine September, pp 26-27
37. Bjorkman S, Wada DR, Stanski DR, Ebling WF (1994) Comparative physiological pharmacokinetics of fentanyl and alfentanil in rats and humans based on parametric single-tissue models. J Pharmacokinet Biopharm 22(5):381-410
38. Langdon G, Gueorguieva I, Aarons L, Karlsson M (2007) Linking preclinical and clinical whole-body physiologically based pharmacokinetic models with prior distributions in NONMEM. Eur J Clin Pharmacol 63(5):485-498
39. Scott JC, Ponganis KV, Stanski DR (1985) EEG quantitation of narcotic effect: the comparative pharmacodynamics of fentanyl and alfentanil. Anesthesiology 62:234-241
40. Scott JC, Cooke JE, Stanski DR (1991) Electroencephalographic quantitation of opioid effect: comparative pharmacokinetics and pharmacodynamics of fentanyl and sufentanil. Anesthesiology 74:34-42
41. Stanski DR, Hudson RJ, Homer TD, Saidman LJ, Meathe E (1984) Pharmacodynamic modeling of thiopental anesthesia. J Pharmacokinet Biopharm 12(2):223-240
42. Mather L, Runciman W, Ilsley A, Thomson K, Goldin A (1981) Direct measurement of chlormethiazole extraction by liver, lung and kidney in man. Br J Clin Pharmacol 12(3):319-325
43. Jamei M, Dickinson GL, Rostami-Hodjegan A (2009) A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: a tale of 'bottom-up' vs 'top-down' recognition of covariates. Drug Metab Pharmacokinet 24(1):53-75
44. Kress HG, Oron'ska A, Kaczmarek Z, Kaasa S, Colberg T, Nolte T (2009) Efficacy and tolerability of intranasal fentanyl spray 50 to 200 microg for breakthrough pain in patients with cancer: a phase III, multinational, randomized, double-blind, placebocontrolled, crossover trial with a 10-month, open-label extension treatment period. Clin Ther 31(6):1177-1191
45. Upton RN (2008) Organ weights and blood flows of sheep and pig for physiological pharmacokinetic modelling. J Pharmacol Toxicol Methods 58(3):198-205
46. Price PS, Conolly RB, Chaisson CF, Gross EA, Young JS, Mathis ET, Tedder DR (2003) Modeling interindividual variation in physiological factors used in PBPK models of humans. Crit Rev Toxicol 33(5):469-503