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Chunk #12 — Results — AGRS effects on time to relapse

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Predictors of relapse in a bupropion trial for smoking cessation in recently-abstinent alcoholics: preliminary results using an aggregate genetic risk score.
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= 1, P < 0.05; ΔAIC = 3.79); that is, the removal of the interaction term worsened the fit of the model. The results of the best fitting model (Model I) indicated that increasing levels of genetic risk (as measured by the AGRS) ( Hazard Ratio (HR) = 1.97, 95% Confidence Interval (CI) = 1.13–3.43), as well as increasing levels of nicotine dependence (as measured by the FTND) (HR = 1.63, CI = 1.12–2.37) are associated with a higher likelihood of relapse. Moreover, the absence of both high levels of nicotine dependence and genetic risk is associated with the best outcome (ie, decreased likelihood of relapse); see Figure 1.