Clinical phenotypes related to smoking cessation

Minas, Markos; Apostolidou, Eleni; Goudouva, Irene; Makris, Elias; Gourgoulianis, Konstantinos; Hatzoglou, Crissi

doi:10.1016/j.jsat.2012.08.002

Cited by 1 publication

(2 citation statements)

References 40 publications

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“…However, its use in our study was only 31.7%. Other studies have also used retrospective samples to compare treatments for smoking cessation, including patients prior to 2007, before varenicline was available . In some of these studies, the choice of treatment was made by the smokers themselves .…”

Section: Discussionmentioning

confidence: 99%

“…One of the main problems faced by clinicians when choosing a treatment is that there are no adequate or reliable scientific standards to justify the greater or lesser efficacy of each of these treatments for a specific type of smoker. Hence, it would be highly desirable to define different smoking phenotypes according to different variables, for which each of the available treatments could have better results .…”

Section: Introductionmentioning

confidence: 99%

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Searching for phenotypes in smoking cessation treatment

et al. 2014

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Summary Background It is important to define smoking phenotypes according to different variables, such as age, sex and degree of dependence, for which available treatments could have different efficacies. Objective The main objective of our study was aimed at defining different combinations of these variables to allow the best possible treatment to be chosen in routine clinical practice. Methods We reviewed the clinical records of smokers who had been treated in our Smoking Cessation Service. In all cases, the treatment programme consisted of a combination of behavioural therapy and optional drug treatment. Results The group consisted of 3622 subjects, specifically 1757 men (48.5%). The mean age of the participants in the group was 48.11 ± 11.19 years. The mean score of the FTCD‐questionnaire was 6.66 ± 2.38. In addition, 78% of the subjects smoked their first cigarette within 30 min after waking. For the total sample, continuous abstinence rate from 9 to 24 weeks was 57.7%. A multivariate analysis using the logistic regression model was implemented, and it showed that: (i) Nicotine Replacement Therapy was less effective in patients with high tobacco dependence, (ii) young subjects can be highly resistant to all treatments and (iii) subjects with low tobacco dependence can be treated with any treatment, but bupropion and varenicline provided the best results. Conclusion It was possible to identify several smoking phenotypes in which different treatments have different efficacies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%