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A Physiologically Based Pharmacokinetic Drug-Disease Model to Predict Carvedilol Exposure in Adult and Paediatric Heart Failure Patients by Incorporating Pathophysiological Changes in Hepatic and Renal Blood Flows

Rasool, Muhammad Fawad, Khalil, Feras, Läer, Stephanie·2015·Clinical Pharmacokinetics

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  1. Boucher BA, Wood GC, Swanson JM. Pharmacokinetic changes in critical illness. Crit Care Clin. 2006;22(2):255–71, vi. · DOI
  2. Johnson TN, Boussery K, Rowland-Yeo K, Tucker GT, Rostami-Hodjegan A. A semi-mechanistic model to predict the effects of liver cirrhosis on drug clearance. Clin Pharmacokinet. 2010;49(3):189–206. · DOI
  3. Li GF, Wang K, Chen R, Zhao HR, Yang J, Zheng QS. Simulation of the pharmacokinetics of bisoprolol in healthy adults and patients with impaired renal function using whole-body physiologically based pharmacokinetic modeling. Acta Pharmacol Sin. 2012;33(11):1359–71. · DOI · Paper page
  4. Vogt W. Evaluation and optimisation of current milrinone prescribing for the treatment and prevention of low cardiac output syndrome in paediatric patients after open heart surgery using a physiology-based pharmacokinetic drug–disease model. Clin Pharmacokinet. 2014;53(1):51–72. · DOI
  5. Sayama H, Takubo H, Komura H, Kogayu M, Iwaki M. Application of a physiologically based pharmacokinetic model informed by a top-down approach for the prediction of pharmacokinetics in chronic kidney disease patients. AAPS J. 2014;16(5):1018–28. · DOI
  6. Edginton AN, Willmann S. Physiology-based simulations of a pathological condition: prediction of pharmacokinetics in patients with liver cirrhosis. Clin Pharmacokinet. 2008;47(11):743–52. · DOI
  7. Khalil F, Laer S. Physiologically based pharmacokinetic modeling: methodology, applications, and limitations with a focus on its role in pediatric drug development. J Biomed Biotechnol. 2011;2011:907461. · DOI
  8. Rowland Yeo K, Aarabi M, Jamei M, Rostami-Hodjegan A. Modeling and predicting drug pharmacokinetics in patients with renal impairment. Expert Rev Clin Pharmacol. 2011;4(2):261–74. · DOI
  9. Leithe ME, Margorien RD, Hermiller JB, Unverferth DV, Leier CV. Relationship between central hemodynamics and regional blood flow in normal subjects and in patients with congestive heart failure. Circulation. 1984;69(1):57–64. · DOI
  10. Nies AS, Shand DG, Wilkinson GR. Altered hepatic blood flow and drug disposition. Clin Pharmacokinet. 1976;1(2):135–55. · DOI
  11. Abdelaziz A, al-Araby M, Mahran L, Spahn-Langguth H. Active metabolites formed during hepatic first-pass: simulations featuring their contribution to the overall effect in altered liver clearance and drug–drug interactions. BMC Pharmacol. 2009;9(Suppl 2):A38. · DOI
  12. Neugebauer G, Akpan W, Kaufmann B, Reiff K. Stereoselective disposition of carvedilol in man after intravenous and oral administration of the racemic compound. Eur J Clin Pharmacol. 1990;38(2):S108–11. · DOI
  13. Neugebauer G, Akpan W, von Mollendorff E, Neubert P, Reiff K. Pharmacokinetics and disposition of carvedilol in humans. J Cardiovasc Pharmacol. 1987;10(Suppl 11):S85–8. · DOI
  14. Neugebauer G, Neubert P. Metabolism of carvedilol in man. Eur J Drug Metab Pharmacokinet. 1991;16(4):257–60. · DOI
  15. Behn F. Pharmakokinetik, Pharmakodynamik und Pharmakogenetik von Carvedilol in Abhängigkeit vom Lebensalter bei pädiatrischen Patienten mit Herzinsuffizienz. Dissertation zur Erlangung des Doktorgrades des Fachbereichs Chemie der Universität Hamburg; 2001.
  16. Tenero D, Boike S, Boyle D, Ilson B, Fesniak HF, Brozena S, et al. Steady-state pharmacokinetics of carvedilol and its enantiomers in patients with congestive heart failure. J Clin Pharmacol. 2000;40(8):844–53. · DOI
  17. Giessmann T, Modess C, Hecker U, Zschiesche M, Dazert P, Kunert-Keil C, et al. CYP2D6 genotype and induction of intestinal drug transporters by rifampin predict presystemic clearance of carvedilol in healthy subjects. Clin Pharmacol Ther. 2004;75(3):213–22. · DOI
  18. von Mollendorff E, Reiff K, Neugebauer G. Pharmacokinetics and bioavailability of carvedilol, a vasodilating beta-blocker. Eur J Clin Pharmacol. 1987;33(5):511–3. · DOI
  19. Khalil F, Laer S. Physiologically based pharmacokinetic models in the prediction of oral drug exposure over the entire pediatric age range—sotalol as a model drug. AAPS J. 2014;16(2):226–39. · DOI · Paper page
  20. Jamei M, Turner D, Yang J, Neuhoff S, Polak S, Rostami-Hodjegan A, et al. Population-based mechanistic prediction of oral drug absorption. AAPS J. 2009;11(2):225–37. · DOI · Paper page
  21. Bachmakov I, Werner U, Endress B, Auge D, Fromm MF. Characterization of beta-adrenoceptor antagonists as substrates and inhibitors of the drug transporter P-glycoprotein. Fundam Clin Pharmacol. 2006;20(3):273–82. · DOI
  22. Davis SS, Hardy JG, Fara JW. Transit of pharmaceutical dosage forms through the small intestine. Gut. 1986;27(8):886–92. · DOI · Paper page
  23. Kaijser M, Johnsson C, Zezina L, Backman U, Dimeny E, Fellstrom B. Elevation of cyclosporin A blood levels during carvedilol treatment in renal transplant patients. Clin Transplant. 1997;11(6):577–81. · DOI
  24. Wessler JD, Grip LT, Mendell J, Giugliano RP. The P-glycoprotein transport system and cardiovascular drugs. J Am Coll Cardiol. 2013;61(25):2495–502. · DOI
  25. Kilford PJ, Stringer R, Sohal B, Houston JB, Galetin A. Prediction of drug clearance by glucuronidation from in vitro data: use of combined cytochrome P450 and UDP-glucuronosyltransferase cofactors in alamethicin-activated human liver microsomes. Drug Metab Dispos. 2009;37(1):82–9. · DOI
  26. Hanioka N, Tanaka S, Moriguchi Y, Narimatsu S. Stereoselective glucuronidation of carvedilol in human liver and intestinal microsomes. Pharmacology. 2012;90(3–4):117–24. · DOI
  27. Salem F, Johnson TN, Abduljalil K, Tucker GT, Rostami-Hodjegan A. A re-evaluation and validation of ontogeny functions for cytochrome P450 1A2 and 3A4 based on in vivo data. Clin Pharmacokinet. 2014;53(7):625–36. · DOI
  28. Cubitt HE, Yeo KR, Howgate EM, Rostami-Hodjegan A, Barter ZE. Sources of interindividual variability in IVIVE of clearance: an investigation into the prediction of benzodiazepine clearance using a mechanistic population-based pharmacokinetic model. Xenobiotica. 2011;41(8):623–38. · DOI
  29. Oldham HG, Clarke SE. In vitro identification of the human cytochrome P450 enzymes involved in the metabolism of R(+)- and S(−)-carvedilol. Drug Metab Dispos. 1997;25(8):970–7.
  30. Sehrt D, Meineke I, Tzvetkov M, Gultepe S, Brockmoller J. Carvedilol pharmacokinetics and pharmacodynamics in relation to CYP2D6 and ADRB pharmacogenetics. Pharmacogenomics. 2011;12(6):783–95. · DOI
  31. Gehr TW, Tenero DM, Boyle DA, Qian Y, Sica DA, Shusterman NH. The pharmacokinetics of carvedilol and its metabolites after single and multiple dose oral administration in patients with hypertension and renal insufficiency. Eur J Clin Pharmacol. 1999;55(4):269–77. · DOI
  32. Wilkinson GR, Shand DG. Commentary: a physiological approach to hepatic drug clearance. Clin Pharmacol Ther. 1975;18(4):377–90. · DOI · Paper page
  33. Johnson TN, Rostami-Hodjegan A. Resurgence in the use of physiologically based pharmacokinetic models in pediatric clinical pharmacology: parallel shift in incorporating the knowledge of biological elements and increased applicability to drug development and clinical practice. Paediatr Anaesth. 2011;21(3):291–301. · DOI
  34. Salem F, Johnson TN, Barter ZE, Leeder JS, Rostami-Hodjegan A. Age related changes in fractional elimination pathways for drugs: assessing the impact of variable ontogeny on metabolic drug–drug interactions. J Clin Pharmacol. 2013;53(8):857–65. · DOI
  35. Laer S, Mir TS, Behn F, Eiselt M, Scholz H, Venzke A, et al. Carvedilol therapy in pediatric patients with congestive heart failure: a study investigating clinical and pharmacokinetic parameters. Am Heart J. 2002;143(5):916–22. · DOI
  36. Ross RD, Bollinger RO, Pinsky WW. Grading the severity of congestive heart failure in infants. Pediatr Cardiol. 1992;13(2):72–5. · DOI
  37. Marsousi N, Daali Y, Rudaz S, Almond L, Humphries H, Desmeules J, et al. Prediction of metabolic interactions with oxycodone via CYP2D6 and CYP3A inhibition using a physiologically based pharmacokinetic model. CPT Pharmacomet Syst Pharmacol. 2014;3(12):1–8. · DOI
  38. Jiang XL, Zhao P, Barrett JS, Lesko LJ, Schmidt S. Application of physiologically based pharmacokinetic modeling to predict acetaminophen metabolism and pharmacokinetics in children. CPT Pharmacomet Syst Pharmacol. 2013;2:e80. · DOI
  39. Jamei M, Bajot F, Neuhoff S, Barter Z, Yang J, Rostami-Hodjegan A, et al. A mechanistic framework for in vitro–in vivo extrapolation of liver membrane transporters: prediction of drug–drug interaction between rosuvastatin and cyclosporine. Clin Pharmacokinet. 2014;53(1):73–87. · DOI
  40. De Buck SS, Sinha VK, Fenu LA, Nijsen MJ, Mackie CE, Gilissen RA. Prediction of human pharmacokinetics using physiologically based modeling: a retrospective analysis of 26 clinically tested drugs. Drug Metab Dispos. 2007;35(10):1766–80. · DOI · Paper page
  41. Gertz M, Houston JB, Galetin A. Physiologically based pharmacokinetic modeling of intestinal first-pass metabolism of CYP3A substrates with high intestinal extraction. Drug Metab Dispos. 2011;39(9):1633–42. · DOI
  42. Abduljalil K, Cain T, Humphries H, Rostami-Hodjegan A. Deciding on success criteria for predictability of pharmacokinetic parameters from in vitro studies: an analysis based on in vivo observations. Drug Metab Dispos. 2014;42(9):1478–84. · DOI
  43. Ross RD. The Ross classification for heart failure in children after 25 years: a review and an age-stratified revision. Pediatr Cardiol. 2012;33(8):1295–300. · DOI
  44. Fleming S, Thompson M, Stevens R, Heneghan C, Pluddemann A, Maconochie I, et al. Normal ranges of heart rate and respiratory rate in children from birth to 18 years of age: a systematic review of observational studies. Lancet. 2011;377(9770):1011–8. · DOI · Paper page
  45. Noda T, Todani T, Watanabe Y, Yamamoto S. Liver volume in children measured by computed tomography. Pediatr Radiol. 1997;27(3):250–2. · DOI
  46. Anderson GD. Developmental pharmacokinetics. Semin Pediatr Neurol. 2010;17(4):208–13. · DOI
  47. Caron G, Steyaert G, Pagliara A, Reymond F, Crivori P, Gaillard P, et al. Structure-lipophilicity relationships of neutral and protonated β-blockers, part I, intra- and intermolecular effects in isotropic solvent systems. Helvetica Chimica Acta. 1999;82(8):1211–22. · DOI
  48. Fujimaki M, Murakoshi Y, Hakusui H. Assay and disposition of carvedilol enantiomers in humans and monkeys: evidence of stereoselective presystemic metabolism. J Pharm Sci. 1990;79(7):568–72. · DOI

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Metadata

Authors
Rasool, M. F., Khalil, F., & Läer, S.
Venue
Clinical Pharmacokinetics
Published
2015-03-14
Volume
54
Issue
9
Pages
943-962
ISSN
  • 0312-5963
  • 1179-1926
Cited by
55
References
7
Language
en

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CoChat. (2026). Citation check: A Physiologically Based Pharmacokinetic Drug-Disease Model to Predict Carvedilol Exposure in Adult and Paediatric Heart Failure Patients by Incorporating Pathophysiological Changes in Hepatic and Renal Blood Flows. https://app.cochat.ai/papers/10.1007/s40262-015-0253-7
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Rasool, M. F., Khalil, F., & Läer, S. (2015). A Physiologically Based Pharmacokinetic Drug-Disease Model to Predict Carvedilol Exposure in Adult and Paediatric Heart Failure Patients by Incorporating Pathophysiological Changes in Hepatic and Renal Blood Flows. Clinical Pharmacokinetics. https://doi.org/10.1007/s40262-015-0253-7

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