The impact of diuretic use and ABCG2 genotype on the predictive performance of a published allopurinol dosing tool.
Br J Clin Pharmacol
; 84(5): 937-943, 2018 05.
Article
in En
| MEDLINE
| ID: mdl-29341237
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 (R2 = 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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Allopurinol
/
Decision Support Techniques
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Diuretics
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ATP Binding Cassette Transporter, Subfamily G, Member 2
/
Neoplasm Proteins
Type of study:
Clinical_trials
/
Evaluation_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
/
Middle aged
Language:
En
Journal:
Br J Clin Pharmacol
Year:
2018
Document type:
Article
Affiliation country:
New Zealand