Improved Clinical Sensitivity of a Reflexive Algorithm to Minimize False-Negative Test Results by a Urine Benzodiazepine Immunoassay Screen

Background: Urine drug testing is an essential component of treating patients for chronic pain and/or anxiety and is used to monitor compliance during treatment. A common algorithm is to use an immunoassay as a urine drug screen (UDS), followed by mass spectrometry to confirm all presumptive positive samples. Many UDSs, however, have significant limitations, and false-negative test results can be common due to lack of antibody specificity. Methods: Urine samples were screened by a benzodiazepine immunoassay followed by confirmatory testing using LC-MS/MS to determine an initial false-negative test rate for the screen. Attempts to improve the false-negative test rate included hydrolysis before screening and optimization of the absorbance cutoff required for a positive result. Results: Hydrolysis corrected 41% of false-negative test results in samples containing parent benzodiazepines and/or metabolites but had no effect on samples containing only clonazepam. Of the confirmed false-negative test results, 85% (17 of 20) demonstrated absorbance values between 20 and 100, with 100 being the cutoff for a positive result. Implementing an optimized absorbance cutoff of 20, rather than 100, for a reflexive confirmation testing algorithm decreases the false-negative test rate of detecting benzodiazepine from 47% to 2%. Conclusions: Hydrolyzing samples before the benzodiazepine screen provided a modest improvement in the false-negative test rate; however, the screen still missed samples containing clonazepam. Optimization of the absorbance cutoff to reflex samples to LC-MS/MS markedly improved the false-negative test rate for all benzodiazepines.