Literature DB >> 24052784

Genetics-based pediatric warfarin dosage regimen derived using pharmacometric bridging.

Mallika Lala1, Gilbert J Burckart, Cheryl M Takao, Vera Pravica, Jeremiah D Momper, Jogarao V S Gobburu.   

Abstract

BACKGROUND: Warfarin dosage regimens using CYP2C9 and VKORC1 polymorphisms have been extensively studied in adults and is included in US Food and Drug Administration-approved warfarin labeling. However, no dosage algorithm is available for pediatric patients.
OBJECTIVE: To derive a genetics-based pediatric dosge regimen for warfarin, including starting dose and titration scheme.
METHODS: A model-based approach was developed based on a previously validated warfarin dosage model in adults, with subsequent comparison to pediatric data from pediatric warfarin dose, genotyping, and international normalized ratio (INR) results. The adult model was based on a previously established model from the CROWN (CReating an Optimal Warfarin dosing Nomogram) trial. Pediatric warfarin data were obtained from a study conducted at the Children's Hospital of Los Angeles with 26 subjects. Variant alleles of CYP2C9 (rs1799853 or *2, and rs1057910 or *3) and the VKORC1 single nucleotide polymorphism (SNP) rs9923231 (-1639 G>A) were assessed, where the rs numbers are reference SNP identification tags assigned by the National Center for Biotechnology Information.
RESULTS: A pediatric warfarin model was derived using the previously validated model and clinical pharmacology considerations. The model was validated, and clinical trial simulation and stochastic modeling were used to optimize pediatric dosage and titration. The final dosage regimen was optimized based on simulations targeting a high (≥60%) proportion of INRs within the therapeutic range by week 2 of warfarin therapy while minimizing INRs >3.5 or <2.
CONCLUSIONS: The proposed pediatric warfarin dosage scheme based on individual CYP2C9 (alleles *1,*2,*3) and VKORC1 rs9923231 (-1639 G>A) genotypes may offer improved dosage compared to current treatment strategies, especially in patients with variant CYP2C9 and VKORC1 alleles. This pilot study provides the foundation for a larger prospective evaluation of genetics-based warfarin dosage in pediatric patients.

Entities:  

Keywords:  CYP2C9; VKORC1; pediatrics; pharmacogenetics; warfarin

Year:  2013        PMID: 24052784      PMCID: PMC3775555          DOI: 10.5863/1551-6776-18.3.209

Source DB:  PubMed          Journal:  J Pediatr Pharmacol Ther        ISSN: 1551-6776


  20 in total

1.  Integration of genetic, clinical, and INR data to refine warfarin dosing.

Authors:  P Lenzini; M Wadelius; S Kimmel; J L Anderson; A L Jorgensen; M Pirmohamed; M D Caldwell; N Limdi; J K Burmester; M B Dowd; P Angchaisuksiri; A R Bass; J Chen; N Eriksson; A Rane; J D Lindh; J F Carlquist; B D Horne; G Grice; P E Milligan; C Eby; J Shin; H Kim; D Kurnik; C M Stein; G McMillin; R C Pendleton; R L Berg; P Deloukas; B F Gage
Journal:  Clin Pharmacol Ther       Date:  2010-04-07       Impact factor: 6.875

2.  Genotypes of the cytochrome p450 isoform, CYP2C9, and the vitamin K epoxide reductase complex subunit 1 conjointly determine stable warfarin dose: a prospective study.

Authors:  John F Carlquist; Benjamin D Horne; Joseph B Muhlestein; Donald L Lappé; Bryant M Whiting; Matthew J Kolek; Jessica L Clarke; Brent C James; Jeffrey L Anderson
Journal:  J Thromb Thrombolysis       Date:  2006-12       Impact factor: 2.300

3.  A PK-PD model for predicting the impact of age, CYP2C9, and VKORC1 genotype on individualization of warfarin therapy.

Authors:  A-K Hamberg; M-L Dahl; M Barban; M G Scordo; M Wadelius; V Pengo; R Padrini; E N Jonsson
Journal:  Clin Pharmacol Ther       Date:  2007-02-14       Impact factor: 6.875

4.  Low-molecular-weight heparin in pediatric patients with thrombotic disease: a dose finding study.

Authors:  P Massicotte; M Adams; V Marzinotto; L A Brooker; M Andrew
Journal:  J Pediatr       Date:  1996-03       Impact factor: 4.406

5.  Analysis of warfarin therapy in pediatric patients: A prospective cohort study of 319 patients.

Authors:  W Streif; M Andrew; V Marzinotto; P Massicotte; A K Chan; J A Julian; L Mitchell
Journal:  Blood       Date:  1999-11-01       Impact factor: 22.113

6.  Different contributions of polymorphisms in VKORC1 and CYP2C9 to intra- and inter-population differences in maintenance dose of warfarin in Japanese, Caucasians and African-Americans.

Authors:  Harumi Takahashi; Grant R Wilkinson; Edith A Nutescu; Takashi Morita; Marylyn D Ritchie; Maria G Scordo; Vittorio Pengo; Martina Barban; Roberto Padrini; Ichiro Ieiri; Kenji Otsubo; Toshitaka Kashima; Sosuke Kimura; Shinichi Kijima; Hirotoshi Echizen
Journal:  Pharmacogenet Genomics       Date:  2006-02       Impact factor: 2.089

7.  Association between CYP2C9 genetic variants and anticoagulation-related outcomes during warfarin therapy.

Authors:  Mitchell K Higashi; David L Veenstra; L Midori Kondo; Ann K Wittkowsky; Sengkeo L Srinouanprachanh; Fred M Farin; Allan E Rettie
Journal:  JAMA       Date:  2002-04-03       Impact factor: 56.272

8.  Enhanced thrombin regulation during warfarin therapy in children compared to adults.

Authors:  P Massicotte; M Leaker; V Marzinotto; M Adams; R Freedom; W Williams; P Vegh; L Berry; B Shah; M Andrew
Journal:  Thromb Haemost       Date:  1998-10       Impact factor: 5.249

9.  CYP2C9 genotype-guided warfarin prescribing enhances the efficacy and safety of anticoagulation: a prospective randomized controlled study.

Authors:  Y Caraco; S Blotnick; M Muszkat
Journal:  Clin Pharmacol Ther       Date:  2007-09-12       Impact factor: 6.875

10.  Maturation of the hemostatic system during childhood.

Authors:  M Andrew; P Vegh; M Johnston; J Bowker; F Ofosu; L Mitchell
Journal:  Blood       Date:  1992-10-15       Impact factor: 22.113

View more
  8 in total

1.  Ethical issues in pediatric pharmacogenomics.

Authors:  Kyle B Brothers
Journal:  J Pediatr Pharmacol Ther       Date:  2013-07

2.  Utility of a dedicated pediatric cardiac anticoagulation program: the Boston Children's Hospital experience.

Authors:  Jenna M Murray; Amy Hellinger; Roger Dionne; Loren Brown; Rosemary Galvin; Suzanne Griggs; Karen Mittler; Kathy Harney; Shannon Manzi; Christina VanderPluym; Annette Baker; Patricia O'Brien; Cheryl O'Connell; Christopher S Almond
Journal:  Pediatr Cardiol       Date:  2015-01-09       Impact factor: 1.655

3.  Prediction of Warfarin Dose in Pediatric Patients: An Evaluation of the Predictive Performance of Several Models.

Authors:  Elizabeth Marek; Jeremiah D Momper; Ronald N Hines; Cheryl M Takao; Joan C Gill; Vera Pravica; Andrea Gaedigk; Gilbert J Burckart; Kathleen A Neville
Journal:  J Pediatr Pharmacol Ther       Date:  2016 May-Jun

4.  Generating Virtual Patients by Multivariate and Discrete Re-Sampling Techniques.

Authors:  D Teutonico; F Musuamba; H J Maas; A Facius; S Yang; M Danhof; O Della Pasqua
Journal:  Pharm Res       Date:  2015-05-21       Impact factor: 4.200

5.  Perceptions of students in health and molecular life sciences regarding pharmacogenomics and personalized medicine.

Authors:  Lejla Mahmutovic; Betul Akcesme; Camil Durakovic; Faruk Berat Akcesme; Aida Maric; Muhamed Adilovic; Nour Hamad; Matthias Wjst; Oliver Feeney; Sabina Semiz
Journal:  Hum Genomics       Date:  2018-11-14       Impact factor: 4.639

6.  Design and anticipated outcomes of the eMERGE-PGx project: a multicenter pilot for preemptive pharmacogenomics in electronic health record systems.

Authors:  L J Rasmussen-Torvik; S C Stallings; A S Gordon; B Almoguera; M A Basford; S J Bielinski; A Brautbar; M H Brilliant; D S Carrell; J J Connolly; D R Crosslin; K F Doheny; C J Gallego; O Gottesman; D S Kim; K A Leppig; R Li; S Lin; S Manzi; A R Mejia; J A Pacheco; V Pan; J Pathak; C L Perry; J F Peterson; C A Prows; J Ralston; L V Rasmussen; M D Ritchie; S Sadhasivam; S A Scott; M Smith; A Vega; A A Vinks; S Volpi; W A Wolf; E Bottinger; R L Chisholm; C G Chute; J L Haines; J B Harley; B Keating; I A Holm; I J Kullo; G P Jarvik; E B Larson; T Manolio; C A McCarty; D A Nickerson; S E Scherer; M S Williams; D M Roden; J C Denny
Journal:  Clin Pharmacol Ther       Date:  2014-06-24       Impact factor: 6.875

Review 7.  A review of a priori regression models for warfarin maintenance dose prediction.

Authors:  Ben Francis; Steven Lane; Munir Pirmohamed; Andrea Jorgensen
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

Review 8.  Pharmacogenomics in Pediatric Patients: Towards Personalized Medicine.

Authors:  Hedy Maagdenberg; Susanne J H Vijverberg; Marc B Bierings; Bruce C Carleton; Hubertus G M Arets; Anthonius de Boer; Anke H Maitland-van der Zee
Journal:  Paediatr Drugs       Date:  2016-08       Impact factor: 3.022

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.