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Utility of an algorithm predicting nasal continuous positive airway pressure sophia e schiza., bouloukaki izolde, tzanakis nikos, ekonomidou foteini, n.m. siafakas sleep disorders unit, dept. of thoracic medicine, medical school, university of crete, heraklion, greece.

ABSTINENCE RATES AND PREDICTORS OF OUTCOME OF
SMOKING CESSATION
Izolde Bouloukaki, Despoina Moraitaki, Kostantinos Karagiannis, Nikolaos Siafakas,
Ioanna Mitrouska.
Dept of Thoracic Medicine, University Of Crete, Heraklion, Crete, Greece
INTRODUCTION:
RESULTS ΙΙ:
•Smoking cessation effectively decreases the incidence •Two years after quit day, 285 (38%) were ex of a number of major diseases, such as cardiovascular smokers, while 476 (62%) were current smokers. diseases and lung cancer, even at a relatively old age.
•Of the non-smokers 26% received nicotine • However, even though about 70% of smokers would like replacement therapy, 57% bupropion and 11% both •Thus, a better understanding of the factors •Subjects receiving bupropion exhibited higher contributing to smoking cessation is needed in order to abstinence rate than nicotine replacement therapy identify smokers who might need more intensive •The duration of treatment has been shown to affect the quit rate in a statistical significant way PURPOSE: The aim of the study was to evaluate
factors associated with smoking cessation, in patients •Highly educated persons had higher success rates referred to our smoking cessation clinic.
•The quitting rate, was significantly associated with the compliance, as expressed by visit numbers •1288 smokers mean age 44 yrs., visited and started therapy in the Outpatient Clinic for Smoking Cessation.
Table 2. Comparison between smokers and non
• They followed for a total period of 2 years October smokers two years after t
after the quit day.
•Each smoker was interviewed to register sociodemographic data, smoking behaviour, age started Abstinent
smoking and nicotine dependence using the Fagerstrom n=285 (38%)
n=476 (62%)
•All individuals participate in the same behavioural therapy program and, according to the degree of dependence (Fagerstrom test), received nicotine Age started smoking
Fagestrom score
•A random sample of 761 (465 males and 295 females) out of the 1288 interviewed by telephone about their current and former smoking habits as well as about their Treatment
Nicotine gum
Nicotine patch
Bupropion
Nicotine patch plus
RESULTS I:
Bupropion
Table 1: Patient Characteristics
Treatment Duration
Visit number
Age (years)
CONCLUSIONS:
Pack years
Fagerstrom score
Identification of parameters that predict •match smokers with a treatment that is more likely •identify smokers who might need more intensive References:
1. Grandes G, Cortada JM, Arantza A and Laka JP. Predictors of long-term outcome of a smoking cessation programme in primary care. 2. Boury ML, Buurma H and Egberts CG. Determinants for successful smoking cessation with bupropion in daily practice. Pharm World Sci

Source: http://www.hphconferences.org/archive/creta09/htm/proceedings/P219-Bouloukaki.pdf

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