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  • Hamberg, Anna-Karin,1964-Uppsala universitet,Klinisk farmakogenomik och osteoporos (author)

Warfarin dose prediction in children using pharmacometric bridging : comparison with published pharmacogenetic dosing algorithms

  • Article/chapterEnglish2013

Publisher, publication year, extent ...

  • 2013-01-11
  • Springer Science and Business Media LLC,2013
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-197596
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197596URI
  • https://doi.org/10.1007/s00228-012-1466-4DOI
  • https://lup.lub.lu.se/record/3932502URI

Supplementary language notes

  • Language:English
  • Summary in:English

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Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Correction in: EUROPEAN JOURNAL OF CLINICAL PHARMACOLOGY  Volume: 69, Issue: 9, Pages: 1737-1737, DOI: 10.1007/s00228-013-1565-x
  • PurposeNumerous studies have investigated causes of warfarin dose variability in adults whereas studies in children are limited both in numbers and size. Mechanism-based population modelling provides an opportunity to condense and propagate prior knowledge from one population to another. The main objectives with this study were to evaluate the predictive performance of a theoretically bridged adult warfarin model in children, and to compare accuracy in dose prediction relative to published warfarin algorithms for children.MethodAn adult population PK/PD-model for warfarin, with CYP2C9 and VKORC1 genotype, age and target INR as dose predictors, was bridged to children using allometric scaling methods. Its predictive properties were evaluated in an external dataset of children 0-18 years old, including comparison of dose prediction accuracy with three pharmacogenetics-based algorithms for children.ResultsOverall, the bridged model predicted INR response well in 64 warfarin treated Swedish children (median age 4.3 years), but with a tendency to over predict INR in children ≤ 2 years old. The bridged model predicted 20 of 49 children (41%) within ± 20% of actual maintenance dose (median age 7.2 years). In comparison the published dosing algorithms predicted 33-41% of the children within ± 20% of actual dose. Dose optimization with the bridged model based on up to three individual INR observations increased the proportion within ± 20% of actual dose to 70%.ConclusionA mechanism-based population model developed on adult data provides a promising first step towards more individualized warfarin therapy in children.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Friberg, Lena EUppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)lenasimo (author)
  • Hanséus, KatarinaLund University,Lunds universitet,Pediatrik, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Paediatrics (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Barmhjärtcentrum, Skånes Universietessjukhus, Lund(Swepub:lu)pedi-kha (author)
  • Ekman-Joelsson, Britt-MarieDrottnings Silvias Barnsjukhus, Sahlgrenska Universitetssjukhuset, Göteborg (author)
  • Sunnegårdh, JanDrottnings Silvias Barnsjukhus, Sahlgrenska Universitetssjukhuset, Göteborg (author)
  • Jonzon, AndersUppsala universitet,Pediatrik(Swepub:uu)andersjz (author)
  • Lundell, BoAstrid Lindgrens Barnsjukhus, Stockholm (author)
  • Jonsson, E. NiclasUppsala universitet,Institutionen för farmaceutisk biovetenskap(Swepub:uu)niklasjs (author)
  • Wadelius, MiaUppsala universitet,Klinisk farmakogenomik och osteoporos(Swepub:uu)miawadel (author)
  • Uppsala universitetKlinisk farmakogenomik och osteoporos (creator_code:org_t)

Related titles

  • In:European Journal of Clinical Pharmacology: Springer Science and Business Media LLC69:6, s. 1275-12830031-69701432-1041

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