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377 Randomized Placebo-controlled Trial to Test the Efficacy of genetically informed biomarker Nicotine Metabolite Ratio (NMR), and transdermal nicotine replacement therapy (NRT) versus varenicline
Published online by Cambridge University Press: 24 April 2023
Abstract
OBJECTIVES/GOALS: The overall aim of the proposed study is to evaluate the effectiveness and clinical utility of the NMR as a biomarker of response to placebo, transdermal nicotine, and varenicline to be utilized within the clinical practice as a point-of-care predictor to tailor an individual’s smoking cessation treatment. METHODS/STUDY POPULATION: A 12-week phase II, stratified multicenter, randomized, placebo-controlled trial of 3 treatment groups to measure treatment-seeking smokers (n-900:150 slow metabolizers; 150 normal metabolizers), randomized to 12-weeks of nicotine patch (active patch + placebo pill), varenicline (active pill + placebo patch), or placebo (placebo pill + patch). At the end of treatment, patients will be followed for 12 months. Study Population: Adult smokers 18–65 years old reported smoking≥10 cigarettes/day for≥6 months (verified by carbon monoxide (CO) >10 ppm). Drug and route of administration: RESULTS/ANTICIPATED RESULTS: The study would conclude the effectiveness of the interventions well defined. DISCUSSION/SIGNIFICANCE: The report will provide robust evidence to support the effectiveness of NRT intervention on smoking cessation.
- Type
- Precision Medicine/Health
- Information
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
- Copyright
- © The Author(s), 2023. The Association for Clinical and Translational Science