Normalizing Oral Fluid Hydrocodone Data Using Calculated Blood Volume

• Published in: Journal of analytical toxicology Vol. 40; no. 7; pp. 486 - 491
• Main Authors: Cummings, Oneka T., Morris, Ayodele A., Enders, Jeffrey R., McIntire, Gregory L.
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.09.2016
• Subjects: Analgesics, Opioid - metabolism; Humans; Hydrocodone - metabolism; Saliva - metabolism; Substance Abuse Detection - methods
• ISSN: 0146-4760; 1945-2403
• DOI: 10.1093/jat/bkw057

Oral fluid testing to assist in the assessment of treatment adherence for chronic pain patients is attractive for a number of reasons. However, efforts focused on interpreting patient results have been modest when compared to urine drug testing. This work details a retrospective approach developed to transform and normalize oral fluid testing results to provide a historical picture of patient values in this important test fluid. Using this approach, a model was developed using data from 6,800 independent patients who were both prescribed hydrocodone and tested positive (with limitations: reporting cutoff < X < upper limit of quantitation) by liquid chromatography–mass spectrometry. Patient demographic data were used to calculate the relevant parameters (e.g., calculated blood volume (CBV)) used in the transformation and normalization of the oral fluid data. The crucial normalizing factor in oral fluids was found to be the CBV which parallels the use of creatinine to normalize drug concentration levels in urine and is consistent with the view that oral fluid samples reflect plasma concentrations of the respective drugs. The resulting near Gaussian distribution is dose independent and as such should be of value to physicians in quickly assessing whether their patient is consistent with this historical population in the broad terms of this model. While this comparison alone is not definitive for adherence with a treatment regimen, together with patient interviews, prescription history and other clinical criteria, it can add an idea of expected patient values from oral fluid testing.