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

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, respectivel

SUBMITTER: Wright DFB 

PROVIDER: S-EPMC5903228 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature