Smoking cessation after diagnosis of COPD is associated with lower all-cause and cause-specific mortality: a nationwide population-based cohort study of South Korean men

Author:

Doo Jang Ho,Kim Sung Min,Park Young Jun,Kim Kyae Hyung,Oh Yun Hwan,Kim Ji Soo,Park Sang Min

Abstract

Abstract Background The most effective way to halt the advancement of COPD is smoking cessation. However, limited data are available on the question of whether quitting smoking within two years after COPD diagnosis reduces the risk of mortality. The goal of our research was to analyze the relationship between quitting smoking after COPD diagnosis and the risks of all-cause and cause-specific mortality, using the Korean National Health Insurance Service (NHIS) database. Methods This study included 1,740 male COPD patients aged 40 years or more who had been newly diagnosed within the 2003–2014 time period and had smoked prior to their COPD diagnosis. The patients were categorized into two groups according to their smoking status after COPD diagnosis: (i) persistent smokers (ii) quitters (smoking cessation within two years of COPD diagnosis). Multivariate Cox proportional hazard regression was performed to determine the adjusted hazard ratio (HR) and 95% confidence interval (CI) for both all-cause and cause-specific mortality. Results Among 1,740 patients (mean age, 64.6 years; mean follow-up duration, 7.6 years), 30.5% stopped smoking after COPD diagnosis. Quitters gained a 17% risk reduction in all-cause mortality (aHR, 0.83; 95% CI, 0.69–1.00) and a 44% risk reduction in cardiovascular mortality (aHR, 0.56; 95% CI, 0.33–0.95) compared with persistent smokers. Conclusion Our study found that patients who quit smoking within two years after COPD diagnosis had lower risks of all-cause and cardiovascular mortality relative to persistent smokers. These results can be used to encourage newly diagnosed COPD patients to stop smoking.

Funder

National Research Foundation of Korea (NRF) grant funded by the Korea government

Grant of ‘Korea Government Grant Program for Education and Research in Medical AI’ through the Korea Health Industry Development Institute

Publisher

Springer Science and Business Media LLC

Subject

Pulmonary and Respiratory Medicine

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