BACKGROUND: Smoking cessation is associated with improved health outcomes, but the prevalence, predictors, and mortality benefit of inpatient smoking-cessation counseling after acute myocardial infarction (AMI) have not been described in detail. METHODS: The study was a retrospective, cohort analysis of a population-based clinical AMI database involving 9041 inpatients discharged from 83 hospital corporations in Ontario, Canada. The prevalence and predictors of inpatient smoking-cessation counseling were determined. Associations were drawn between counseling and all-cause 1-year mortality using multivariate Cox proportional hazards regression model and controlling for important validated predictors of post-MI mortality. RESULTS: A majority of patients with AMI (67.4%) had a history of smoking and 39.0% were current smokers. Current smokers presented with AMI at a much younger average age than former- and never-smokers (mean [+/-SD] ages 59.0 +/- 12.5, 68.9 +/- 11.4, and 70.6 +/- 12.8 years, respectively). Only 52.1% of current smokers were offered smoking-cessation counseling. Multivariate predictors of counseling included a history of asthma (odds ratio [OR] 1.62, 95% CI 1.15-2.31) and admission to a large hospital (OR 1.74, 95% CI 1.37-2.22). Factors associated with no counseling included increasing patient age (OR 0.69, 95% CI 0.65-0.74), a history of diabetes (OR 0.77, 95% CI 0.63-0.93), and admission under the care of a cardiologist (OR 0.67, 95% CI 0.52-0.85) or internist (OR 0.72, 95% CI 0.58-0.88). After adjustment for predictors of post-MI mortality, counseled smokers had a lower risk of mortality (hazard ratio 0.63, 95% CI 0.44-0.90) than those not counseled. CONCLUSIONS: Post-MI inpatient smoking-cessation counseling is an underused intervention, but is independently associated with a significant mortality benefit. Given the minimal cost and potential benefit of inpatient counseling, we recommend that it receive greater emphasis as a routine part of post-MI management.
BACKGROUND: Smoking cessation is associated with improved health outcomes, but the prevalence, predictors, and mortality benefit of inpatient smoking-cessation counseling after acute myocardial infarction (AMI) have not been described in detail. METHODS: The study was a retrospective, cohort analysis of a population-based clinical AMI database involving 9041 inpatients discharged from 83 hospital corporations in Ontario, Canada. The prevalence and predictors of inpatient smoking-cessation counseling were determined. Associations were drawn between counseling and all-cause 1-year mortality using multivariate Cox proportional hazards regression model and controlling for important validated predictors of post-MI mortality. RESULTS: A majority of patients with AMI (67.4%) had a history of smoking and 39.0% were current smokers. Current smokers presented with AMI at a much younger average age than former- and never-smokers (mean [+/-SD] ages 59.0 +/- 12.5, 68.9 +/- 11.4, and 70.6 +/- 12.8 years, respectively). Only 52.1% of current smokers were offered smoking-cessation counseling. Multivariate predictors of counseling included a history of asthma (odds ratio [OR] 1.62, 95% CI 1.15-2.31) and admission to a large hospital (OR 1.74, 95% CI 1.37-2.22). Factors associated with no counseling included increasing patient age (OR 0.69, 95% CI 0.65-0.74), a history of diabetes (OR 0.77, 95% CI 0.63-0.93), and admission under the care of a cardiologist (OR 0.67, 95% CI 0.52-0.85) or internist (OR 0.72, 95% CI 0.58-0.88). After adjustment for predictors of post-MI mortality, counseled smokers had a lower risk of mortality (hazard ratio 0.63, 95% CI 0.44-0.90) than those not counseled. CONCLUSIONS: Post-MI inpatient smoking-cessation counseling is an underused intervention, but is independently associated with a significant mortality benefit. Given the minimal cost and potential benefit of inpatient counseling, we recommend that it receive greater emphasis as a routine part of post-MI management.
Authors: David A Katz; Fengming Tang; Babalola Faseru; Phillip A Horwitz; Philip Jones; John Spertus Journal: Am Heart J Date: 2011-07 Impact factor: 4.749
Authors: Alana M Rojewski; Stephen Baldassarri; Nina A Cooperman; Ellen R Gritz; Frank T Leone; Megan E Piper; Benjamin A Toll; Graham W Warren Journal: Nicotine Tob Res Date: 2016-01-17 Impact factor: 4.244
Authors: Samuel M Brown; Emily Wilson; Angela P Presson; Chong Zhang; Victor D Dinglas; Tom Greene; Ramona O Hopkins; Dale M Needham Journal: Thorax Date: 2016-07-20 Impact factor: 9.139
Authors: Jason T Newson; Nathalie Huguet; Pamela L Ramage-Morin; Michael J McCarthy; Julie Bernier; Mark S Kaplan; Bentson H McFarland Journal: Health Rep Date: 2012-12 Impact factor: 4.796