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Acute coronary syndrome: factors predicting smoking cessation
by
Zemni, Imen
, El Hraiech, Aymen
, Ben Salah, Arwa
, Maatouk, Faouzi
, Azaiez, Mohamed
, Abroug, Hela
, Jomaa, Walid
, Ben Fredj, Manel
, Mehrez, Ons
, Belguith, Asma
in
Acute coronary syndromes
/ Carbon monoxide
/ Cardiac patients
/ Cardiology
/ Cardiovascular disease
/ Cigarette smoking
/ Clinical trials
/ Confidence intervals
/ Coronary heart disease
/ Discharge
/ Drug addiction
/ Drug dependence
/ Heart attacks
/ Hospital patients
/ Medical research
/ Motivation
/ Nicotine
/ Randomization
/ Regression analysis
/ Regression models
/ Sexual behavior
/ Smoking
/ Smoking cessation
/ Smoking cessation products
/ Standard deviation
/ Statistical analysis
/ Time
/ Transdermal medication
/ Varenicline
2020
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Acute coronary syndrome: factors predicting smoking cessation
by
Zemni, Imen
, El Hraiech, Aymen
, Ben Salah, Arwa
, Maatouk, Faouzi
, Azaiez, Mohamed
, Abroug, Hela
, Jomaa, Walid
, Ben Fredj, Manel
, Mehrez, Ons
, Belguith, Asma
in
Acute coronary syndromes
/ Carbon monoxide
/ Cardiac patients
/ Cardiology
/ Cardiovascular disease
/ Cigarette smoking
/ Clinical trials
/ Confidence intervals
/ Coronary heart disease
/ Discharge
/ Drug addiction
/ Drug dependence
/ Heart attacks
/ Hospital patients
/ Medical research
/ Motivation
/ Nicotine
/ Randomization
/ Regression analysis
/ Regression models
/ Sexual behavior
/ Smoking
/ Smoking cessation
/ Smoking cessation products
/ Standard deviation
/ Statistical analysis
/ Time
/ Transdermal medication
/ Varenicline
2020
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Acute coronary syndrome: factors predicting smoking cessation
by
Zemni, Imen
, El Hraiech, Aymen
, Ben Salah, Arwa
, Maatouk, Faouzi
, Azaiez, Mohamed
, Abroug, Hela
, Jomaa, Walid
, Ben Fredj, Manel
, Mehrez, Ons
, Belguith, Asma
in
Acute coronary syndromes
/ Carbon monoxide
/ Cardiac patients
/ Cardiology
/ Cardiovascular disease
/ Cigarette smoking
/ Clinical trials
/ Confidence intervals
/ Coronary heart disease
/ Discharge
/ Drug addiction
/ Drug dependence
/ Heart attacks
/ Hospital patients
/ Medical research
/ Motivation
/ Nicotine
/ Randomization
/ Regression analysis
/ Regression models
/ Sexual behavior
/ Smoking
/ Smoking cessation
/ Smoking cessation products
/ Standard deviation
/ Statistical analysis
/ Time
/ Transdermal medication
/ Varenicline
2020
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Acute coronary syndrome: factors predicting smoking cessation
Journal Article
Acute coronary syndrome: factors predicting smoking cessation
2020
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Overview
Background: Few randomized controlled trials have examined the efficacy time of smoking cessation in hospitalized patients with acute coronary syndrome, either during hospitalization or after discharge. Aims: To assess smoking cessation rates at 24 weeks among patients with acute coronary syndrome. Group A had begun nicotine replacement therapy during hospitalization, and Group B after discharge. We also determined factors predicting success. Methods: We conducted a randomized controlled trial in the Cardiology Department and Smoking Cessation Service at University Hospital of Monastir, Tunisia from January 2015 to June 2016. Participants were randomly assigned to the above 2 groups. The endpoint assessment was smoking abstinence at 24 weeks, defined as self-reported abstinence in the past week, confirmed by measured exhaled carbon monoxide (CO) [less than or equal to] 8 ppm. We analysed data by intention to treat. We used a binary logistic regression model to determine factors predicting abstinence. Results: All participants were male and mean (standard deviation) age was 55 (11) years. At 24 weeks there was no significant difference in smoking cessation rate between the 2 groups: 54.5% [95% confidence interval (CI): 44.7-64.3%] in Group A and 45.5% (95% CI: 35.7-55.3%) in Group B (P = 0.81). High level of nicotine dependence [odds ratio (OR): 0.72; 95% CI: 0.54-0.96) and good compliance during follow-up (OR: 6.56; 95% CI: 2.07-20.78) were predictive factors for abstinence. Conclusions: Smoking cessation rate after acute coronary syndrome was high regardless of the start date. Good compliance during follow-up was the key predictive factor for success.
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