Classification Accuracy of Biomarkers of Compliance.

Objectives: In this study, we evaluated the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in randomized controlled trials (RCTs) of very low nicotine content (VLNC) cigarettes. Methods: We combined data from 2 studies to evaluate the classification accuracy...

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Publicado en:American Journal of Health Behavior Vol. 43; no. 3; pp. 301 - 320
Autores principales: Boatman, Jeffrey A., Casty, Katherine, Vock, David M., Murphy, Sharon E., Denlinger-Apte, Rachel, Hatsukami, Dorothy K., Donny, Eric C., Koopmeiners, Joseph S.
Formato: equations & formulas research tables/charts Journal Article
Publicado: PNG Publications May/Jun2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May/Jun2019
      vid: 43
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      pub: PNG Publications
      place: Oak Ridge, North Carolina
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        atl: Classification Accuracy of Biomarkers of Compliance.
      aug:
        au:
          Boatman, Jeffrey A.
          Casty, Katherine
          Vock, David M.
          Murphy, Sharon E.
          Denlinger-Apte, Rachel
          Hatsukami, Dorothy K.
          Donny, Eric C.
          Koopmeiners, Joseph S.
        affil: Associate, Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
      sug:
        subj:
          Biological Markers Classification
          Nicotine
          Tobacco Products
          Validity
          Randomized Controlled Trials
          Patient Compliance
          Human
          Models, Theoretical
          Cotinine
          Pyridines
          Self Report
          ROC Curve
          Confidence Intervals
          Descriptive Statistics
          Nonparametric Statistics
      ab: Objectives: In this study, we evaluated the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in randomized controlled trials (RCTs) of very low nicotine content (VLNC) cigarettes. Methods: We combined data from 2 studies to evaluate the classification accuracy of biomarkers of nicotine exposure for identifying noncompliance in RCTs of VLNC cigarettes. Using a novel approach that did not require knowledge of each participant's compliance status, we modeled the distributions of total nicotine equivalents (TNE), total cotinine, and anatabine in compliant and noncompliant participants using a mixture model. Estimates of the classification accuracy were derived from the estimated densities. Results: TNE and total cotinine had near-perfect classification accuracy, but TNE had better classification accuracy than total cotinine (p = .03) and anatabine (p = .014). The classification accuracy of TNE and total cotinine decreased as self-reported study cigarettes increased; anatabine was similar, but the results were more statistically variable. Conclusions: TNE and total cotinine are better classifiers of compliance than anatabine. These results will be useful in determining biomarker thresholds for identifying noncompliance and will aid in the interpretation of future RCTs of VLNC cigarettes.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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