Nicotine Exposure in the U.S. Population: Total Urinary Nicotine Biomarkers in NHANES 2015-2016.

We characterize nicotine exposure in the U.S. population by measuring urinary nicotine and its major (cotinine, trans-3'-hydroxycotinine) and minor (nicotine 1'-oxide, cotinine N-oxide, and 1-(3-pyridyl)-1-butanol-4-carboxylic acid, nornicotine) metabolites in participants from the 2015−2016 National Health and Nutrition Examination Survey. This is one of the first U.S. population-based urinary nicotine biomarker reports using the derived total nicotine equivalents (i.e., TNEs) to characterize exposure. Serum cotinine data is used to stratify tobacco non-users with no detectable serum cotinine (−sCOT), non-users with detectable serum cotinine (+sCOT), and individuals who use tobacco (users). The molar concentration sum of cotinine and trans-3'-hydroxycotinine was calculated to derive the TNE2 for non-users. Additionally, for users, the molar concentration sum of nicotine and TNE2 was calculated to derive the TNE3, and the molar concentration sum of the minor metabolites and TNE3 was calculated to derive the TNE7. Sample-weighted summary statistics are reported. We also generated multiple linear regression models to analyze the association between biomarker concentrations and tobacco use status, after adjusting for select demographic factors. We found TNE7 is positively correlated with TNE3 and TNE2 (r = 0.99 and 0.98, respectively), and TNE3 is positively correlated with TNE2 (r = 0.98). The mean TNE2 concentration was elevated for the +sCOT compared with the −sCOT group (0.0143 [0.0120, 0.0172] µmol/g creatinine and 0.00188 [0.00172, 0.00205] µmol/g creatinine, respectively), and highest among users (33.5 [29.6, 37.9] µmol/g creatinine). Non-daily tobacco use was associated with 50% lower TNE7 concentrations (p < 0.0001) compared with daily use. In this report, we show tobacco use frequency and passive exposure to nicotine are important sources of nicotine exposure. Furthermore, this report provides more information on non-users than a serum biomarker report, which underscores the value of urinary nicotine biomarkers in extending the range of trace-level exposures that can be characterized.

Tobacco Use Classification by Inexpensive Urinary Cotinine Immunoassay Test Strips.

Urinary cotinine is one of the most commonly measured biomarkers reflecting recent exposure to nicotine. In some cases a simple qualitative dichotomization of smokers and non-smokers is all that is required. NicAlert® test strips have been evaluated for this purpose, but other recently introduced, inexpensive single-line test strips have not. In this study we evaluated two such strips with nominal cutoffs of 200 and 10 ng/mL. A total of 800 urine samples with known cotinine concentrations determined by an LC-MS-MS method were examined, including 400 urine samples ranging from 0.23 to more than 24,000 ng/mL by the 200 ng/mL strip, and 400 samples with concentrations <200 ng/mL by the 10 ng/mL cutoff strip. Both test strips performed well in these evaluations. Classification relative to LC-MS-MS by the 200 ng/mL strips had a sensitivity of 99.5% and specificity of 92%, with 95.8% accuracy. The 10 ng/mL strips had a sensitivity of 98.7% and specificity of 90.1%, with 93.3% accuracy. The positive predictive value for the 200 ng/mL strips was 92.6% and the negative predictive value was 99.5%. For the 10 ng/mL strips, the corresponding values were 85.4 and 99.2%, respectively. The prevalence of positive samples was 50% in the 200 ng/mL group, and 37% in the 10 ng/mL set. Each strip was read by two readers with an overall agreement of >98%. Our results suggest that these simple and inexpensive lateral flow immunoassay test strips can provide useful qualitative estimates of nicotine exposures for appropriate applications within the inherent limitations of sensitivity and precision of the immunoassay test strip format.