The impact of diuretic use and ABCG2 genotype on the predictive performance of a published allopurinol dosing tool

Academic Article

Abstract

  • Aim: This research aims to evaluate the predictive performance of a published allopurinol dosing tool. Methods: Allopurinol dose predictions were compared to the actual dose required to achieve serum urate (SU) <0.36 mmol l −1 using mean prediction error. The influence of patient factors on dose predictions was explored using multilinear regression. Results: Allopurinol doses were overpredicted by the dosing tool; however, this was minimal in patients without diuretic therapy (MPE 63 mg day −1 , 95% CI 40–87) compared to those receiving diuretics (MPE 295 mg day −1 , 95% CI 260–330, P < 0.0001). ABCG2 genotype (rs2231142, G>T) had an important impact on the dose predictions (MPE 201, 107, 15 mg day −1 for GG, GT and TT, respectively, P < 0.0001). Diuretic use and ABCG2 genotype explained 53% of the variability in prediction error (R 2  = 0.53, P = 0.0004). Conclusions: The dosing tool produced acceptable maintenance dose predictions for patients not taking diuretics. Inclusion of ABCG2 genotype and a revised adjustment for diuretics would further improve the performance of the dosing tool.
  • Authors

    Digital Object Identifier (doi)

    Author List

  • Wright DFB; Dalbeth N; Phipps-Green AJ; Merriman TR; Barclay ML; Drake J; Tan P; Horne A; Stamp LK
  • Start Page

  • 937
  • End Page

  • 943
  • Volume

  • 84
  • Issue

  • 5