Background: Immunoassay-based techniques and creatinine quantification have historically been the methods of choice for urine drug screening. Positive presumptive drug screen results are reflexed to more specific, confirmatory testing using gas or liquid chromatography coupled to mass spectrometry. False positives and false negatives with immunoassay techniques are common problems that have substantial down-stream consequences for patient care, laboratory operations, and total costs.

Methods: The final workflow included rapid enzymatic hydrolysis, rapid liquid chromatographic methods, and time-of-flight mass spectrometry for detection. In total, 84 drugs and metabolites were included and reported qualitatively using 11 isotopically labeled internal standards selected to represent compound classes, retention time, and expected abundances to control for method inefficiencies and matrix suppression/enhancement. The method performance validation included 420 individual urine specimens.

Results: Of the 420 samples screened by immunoassay, 117 failed to confirm by mass spectrometry and were immunoassay false positives. None of these 117 samples screened positive on the liquid chromatography time-of-flight mass spectrometry (LC-TOF-MS) assay. The LC-TOF-MS method failed to detect 1 sample in each of the following classes: buprenorphine, ethanol markers, and opiates owing to concentrations below the established cutoffs. Out of 579 samples, 275 (47.4%) screened positive by LC-TOF-MS for nicotine and at least 2 of its metabolites. Quantitative creatinine comparison to an existing Jaffe method yielded a slope of 0.91 and a correlation coefficient of 0.96.

Conclusions: We investigated whether immunoassay-based drug screening and creatinine quantification could be sufficiently replaced by a rapid LC-TOF-MS screen with higher specificity and accuracy than existing methods. The LC-LC-TOF-MS method is a sensitive and more specific way to screen for drugs, providing creatinine quantification and potential novel specimen validity testing with the inclusion of nicotine metabolites.

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http://dx.doi.org/10.1373/jalm.2017.024166DOI Listing

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