4.4 Article

Assessment of riboflavin as a tracer substance: Comparison of a qualitative to a quantitative method of riboflavin measurement

Journal

DRUG AND ALCOHOL DEPENDENCE
Volume 128, Issue 1-2, Pages 77-82

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.drugalcdep.2012.08.007

Keywords

Adherence; Quantitative; Qualitative; Riboflavin; Tracer

Funding

  1. NIDA [P50DA009236, K24 DA022412]

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Background: Noncompliance with medications may have major impacts on outcomes measured in research, potentially distorting the validity of controlled clinical trials. Riboflavin is frequently used in trials as a marker of adherence. It can be combined with study medication and is excreted in urine where it fluoresces under UV light. This study compares qualitative visual inspection of fluorescence to quantitative fluorometric analysis of riboflavin concentration in its ability to detect the presence of riboflavin in urine. Methods: Twenty-four volunteers received 0 mg, 25 mg, and 50 mg doses of riboflavin under single-blind conditions, with 20 also receiving a 100 mg dose. Five serial urine samples were collected over the following 36 h. Quantitative measurement of riboflavin by fluorometric analysis and qualitative assessment of each sample using visual inspection were performed. Results: The overall false positive rate for qualitative assessment was 53%. For quantitative assessment, a riboflavin concentration of 900 ng/mL was established to classify positive samples. More than 80% of samples were positive 2-24h following ingestion of 25 mg and 50 mg, and less than 80% were positive at 36 h. At least 95% of observations for the 100 mg dose were above 900 ng/mL at all timepoints. Conclusions: Quantitative fluorometric assessment is superior to qualitative visual inspection alone in determining medication adherence. The combination of 25-50 mg of daily riboflavin and a cut-off level of 900 ng/mL allows for the acceptable sensitivity of missing detection of noncompliant participants while preserving a high level of power to detect all cases of medication compliance. (C) 2012 Elsevier Ireland Ltd. All rights reserved.

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