Validation of Urinary Thiocyanate as a Robust Biomarker of Active Tobacco Smoking in the Prospective Urban and Rural Epidemiological Study
Bibliographic record
Abstract
INTRODUCTION: Tobacco smoking is a leading preventable cause of premature death globally. Urinary thiocyanate is a biomarker of cyanide exposure from tobacco smoke; however, few studies have evaluated its utility in diverse populations of smokers. AIMS AND METHODS: We examined the associations between urinary thiocyanate and self-reported never and current smokers among 1000 participants from 14 countries in the Prospective Urban and Rural Epidemiological study. We analyzed urinary thiocyanate in light and heavy smokers as compared to never-smokers from high- (HICs), middle- (MICs), and low-income countries (LICs) using a validated capillary electrophoresis method in conjunction with standardized questionnaires. RESULTS: The median urinary thiocyanate concentration was 31 μM, which ranged from 8.6 μM to 52 μM for never-smokers (n = 335) and current smokers (n = 660), respectively. Urinary thiocyanate was correlated with daily cigarette consumption (r = 0.621) and total nicotine equivalents (r = 0.514). Thiocyanate also displayed a better dose-response than urinary cotinine. A moderate association of urinary thiocyanate was found in biochemically verified never-smokers (r ~0.38) because of intake of vegetables, fruits, and dairy. Receiver-operating characteristic curves established cutoff values for urinary thiocyanate to differentiate current from never-smokers with an optimal threshold of 23.9 μM (Area Under the Curve or AUC = 0.861), which lowered progressively from HICs, MICs, and LICs. CONCLUSIONS: Elevated thiocyanate was evident in current smokers from high-income countries likely reflecting differences in smoking topography and greater toxicant burden. Background urinary thiocyanate in never-smokers was associated with goitrogenic food intake that obscured detection of secondhand smoke exposure. IMPLICATIONS: Urinary thiocyanate is a sensitive biomarker of active tobacco smoking relative to cotinine that can be measured by an inexpensive capillary electrophoresis assay. Regional cutoff values are demonstrated to improve discrimination of smoking status in developing countries because of differences in smoking habits and cigarette products consumed, as well as intake of goitrogenic foods. Urinary thiocyanate may allow for more reliable estimates of the hazards of tobacco smoking between countries with varying socioeconomic development as compared to self-reports.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".