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Factors associated with the efficacy of smoking cessation treatments and predictors of smoking abstinence in EAGLES
Authors:Robert West  A Eden Evins  Neal L Benowitz  Cristina Russ  Thomas McRae  David Lawrence  Lisa St Aubin  Alok Krishen  Melissa C Maravic  Robert M Anthenelli
Institution:1. University College London, London, UK;2. Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA;3. University of California, San Francisco, CA, USA;4. Pfizer, New York, NY, USA;5. PAREXEL International on behalf of GSK, Research Triangle Park, NC, USA;6. University of California, San Diego, CA, USA
Abstract:

Aims

To assess (1) how far the efficacies of front‐line smoking cessation pharmacotherapies vary as a function of smoker characteristics and (2) associations between these characteristics and success of smoking cessation attempts.

Design

Prospective correlational study in the context of a double‐blind randomized trial. The outcome was regressed individually onto each covariate after adjusting for treatment, and then a forward stepwise model constructed. Treatment moderator effects of covariates were tested by treatment × covariate interactions.

Setting

Health service facilities in multiple countries.

Participants

Data came from 8120 smokers willing to make a quit attempt, randomized to varenicline, bupropion, nicotine replacement therapy (NRT) or placebo in Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES) between 30 November 2011 and 13 January 2015.

Measurements

Smoker characteristics measured at baseline were country, psychiatric history, sex, age, body mass index (BMI), ethnic group, life‐time suicidal ideation/behaviour, anxiety, depression, aggression, psychotropic medication, history of alcohol/substance use disorder, age of starting smoking, cigarette dependence Fagerström Test for Cigarette Dependence (FTCD)] and prior use of study medicines. Outcome was biochemically confirmed continuous abstinence at weeks 9–24 from start of treatment.

Findings

No statistically significant treatment × covariate interactions were found. Odds of success were associated independently positively with age odds ratio (OR) = 1.01; 95% confidence interval (CI) = 1.00, 1.01], BMI (1.01; 95% CI = 1.00, 1.02) and age of starting smoking (1.03; 95% CI = 1.02, 1.04). Odds were associated independently negatively with US (versus non‐US) study site (0.53; 95% CI = 0.46, 0.61), black (versus white) ethnic group (0.57; 95% CI = 0.45, 0.72), mood disorder (0.85; 95% CI = 0.73, 0.99), anxiety disorder (0.71; 95% CI = 0.55, 0.90) and psychotic disorder (0.73; 95% CI = 0.50, 1.07), taking psychotropic medication (0.81; 95% CI = 0.68, 0.95), FTCD (0.89; 95% CI = 0.87, 0.92) and previous use of NRT (0.78; 95% CI = 0.67, 0.91).

Conclusions

While a range of smoker characteristics—including psychiatric history, cigarette dependence and prior use of nicotine replacement therapy (NRT)—are associated with lower cessation rates, they do not substantially influence the efficacy of varenicline, bupropion or NRT.
Keywords:Bupropion  nicotine replacement therapy  placebo  smoking cessation  treatment effects  varenicline
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