Abstract
Introduction: Varenicline doubles cessation over nicotine replacement therapy (NRT) patch for “normal,” but not “slow,” nicotine metabolizers, as assessed by the nicotine metabolite ratio (NMR). Metabolism-informed care (MIC) could improve outcomes by matching normal metabolizers with non-nicotine medication (e.g., varenicline) and slow metabolizers with NRT patch. Methods:We conducted a feasibility randomized controlled trial of MIC versus guideline based care (GBC) among 81 outpatient adult daily smokers with medical comorbidity. Participants reported perceptions of MIC, underwent blood draw for NMR, and received expert cessation counseling. For MIC participants, medication selection was informed by NMR result (normal (≥0.31) vs. slow (< 0.31)).The primary outcome was MIC feasibility, reflected by attitudes toward MIC and by match rates between NMR and medication. Secondary endpoints (cessation confidence, medication use, smoking status) were assessed over 6 months to inform future studies. Results: Participants were median age 53 years, 46% female, 28% black, and ~90% endorsed MIC. Despite high varenicline prescription rates (~60%) in both arms, NMR-medication matching was higher in MIC (84%) versus GBC (58%) participants (p=0.02); unadjusted odds ratio (OR) 3.67, 95% confidence interval [1.33, 11.00; p-value=0.02]. Secondary endpoints were similar at 1, 3, and 6 months. Conclusions: MIC, an NMR-based precision approach to smoking cessation, was acceptable to 90% of smokers and improved NMR-medication match rates more than 3-fold compared to GBC, even with generally high use of varenicline.These data support the feasibility of MIC, which could maximize efficacy of smoking cessation medication while minimizing side effects and cost. Implications: Among treatment-seeking daily smokers with medical comorbidity, most viewed metabolism-informed care (MIC), guided by the nicotine metabolism ratio (NMR), favorably, and were willing to accept MIC-guided medication. Compared to GBC participants (58%), more MIC participants (84%) were prescribed NMR-matched medication (i.e., normal metabolizers received varenicline; slow metabolizers received NRT patch). MIC increased the odds of optimized matching between NMR and medication more than 3-fold over GBC. Because the number needed to treat (NNT) to help one normal metabolizer quit smoking is only 4.9 for varenicline versus 26 for patch, broad implementation of MIC will improve drug efficacy in normal metabolizers as well as minimize side effects in slow metabolizers.
Original language | English |
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Pages (from-to) | 1489-1496 |
Number of pages | 8 |
Journal | Nicotine and Tobacco Research |
Volume | 20 |
Issue number | 12 |
DOIs | |
State | Published - Nov 15 2018 |
Bibliographical note
Publisher Copyright:© The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved.
Funding
This publication was supported by ViTAL, the Vanderbilt Center for Tobacco, Addiction, and Lifestyle, V-CREATE, The Vanderbilt Center for Clinical Cardiovascular Outcomes Research and Trial Evaluation, and UL1 TR000445 from NCATS/NIH. Its contents are the authors’ sole responsibility and do not necessarily represent official NIH views. Study data were collected and managed using REDCap electronic data capture tools hosted at Vanderbilt University. REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing: (1) an intuitive interface for validated data entry; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for importing data from external sources. We acknowledge the support of a Canada Research Chair in Pharmacogenetics (RFT), the Centre for Addiction and Mental Health and the CAMH Foundation, the Canada Foundation for Innovation (grant numbers 20289 and 16014), and the Ontario Ministry of Research and Innovation. This publication was supported by ViTAL, the Vanderbilt Center for Tobacco, Addiction, and Lifestyle, V-CREATE, The Vanderbilt Center for Clinical Cardiovascular Outcomes Research and Trial Evaluation, and UL1 TR000445 from NCATS/NIH. Its contents are the authors’ sole responsibility and do not necessarily represent official NIH views. Study data were collected and managed using REDCap electronic data capture tools hosted at Vanderbilt University. REDCap (Research Electronic Data Capture) is a secure, web-based application designed to support data capture for research studies, providing: (1) an intuitive interface for validated data entry; (2) audit trails for tracking data manipulation and export procedures; (3) automated export procedures for seamless data downloads to common statistical packages; and (4) procedures for importing data from external sources. We acknowledge the support of a Canada Research Chair in Pharmacogenetics (RFT), the Centre for Addiction and Mental Health and the CAMH Foundation, the Canada Foundation for Innovation (grant numbers 20289 and 16014), and the Ontario Ministry of Research and Innovation.
Funders | Funder number |
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Canada Research Chair in Pharmacogenetics | |
NIH NCATS | |
Vanderbilt Center for Clinical Cardiovascular Outcomes Research and Trial Evaluation | |
Vanderbilt Center for Tobacco | |
National Center for Advancing Translational Sciences (NCATS) | UL1TR000445 |
Centre for Addiction and Mental Health | |
Centre for Addiction and Mental Health Foundation | |
Bayer Vital | |
Ontario Ministry of Economic Development and Innovation | |
Canada Foundation for Innovation | |
Canada Excellence Research Chairs, Government of Canada | |
Canada Foundation for Innovation | 20289, 16014 |
Rat für Forschung und Technologieentwicklung | |
Ontario Ministry of Research and Innovation |
ASJC Scopus subject areas
- General Medicine