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An allopurinol adherence tool using plasma oxypurinol concentrations.
Natalia Smith-Diaz1, Sophie L Stocker2, Lisa K Stamp3
1School of Pharmacy, University of Otago, Dunedin, New Zealand.
British Journal of Clinical Pharmacology
|August 29, 2022
Summary
A new tool using oxypurinol plasma levels helps identify gout patients needing adherence support. This method shows good predictive performance for screening in clinical trials and practice.
Area of Science:
- Pharmacology and Therapeutics
- Clinical Chemistry
- Gout Management
Background:
- Allopurinol is a common treatment for gout, but adherence can be challenging.
- Measuring steady-state oxypurinol plasma concentrations, the active metabolite of allopurinol, offers a potential method to assess adherence.
- Existing adherence assessment methods may have limitations in accuracy and practicality.
Purpose of the Study:
- To develop and validate an allopurinol adherence tool.
- The tool is based on steady-state oxypurinol plasma concentrations.
- To evaluate the tool's predictive performance for identifying patients with imperfect adherence.
Main Methods:
- Stochastic simulation of oxypurinol plasma concentrations using a pharmacokinetic model, considering factors like renal function, diuretic use, and ethnicity.
- Defined adherence thresholds based on the 20th percentile of peak and trough oxypurinol concentrations.
- Evaluated predictive performance using simulated low adherence data and real-world data from 146 individuals, calculating sensitivity, specificity, PPV, NPV, and ROC AUC.
Main Results:
- The developed tool demonstrated high sensitivity and specificity for both peak and trough oxypurinol concentrations.
- Positive and negative predictive values were robust, indicating reliable adherence assessment.
- External validation using the CKD-FIX study data confirmed the tool's predictive performance with a ROC AUC of 0.8113.
Conclusions:
- An allopurinol adherence tool utilizing plasma oxypurinol concentrations has been successfully developed and evaluated.
- The tool exhibits suitable predictive performance for adherence screening in clinical trials.
- The tool may also be beneficial for adherence assessment in certain clinical practice settings for gout management.
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