Ming-Liang Zuo1, Chun-Mei Li1, Yan Deng1, Sanjib Bhattacharyya2, Ping Shuai1, Hung-Fat Tse3, Chung-Wah Siu4, Li-Xue Yin5. 1. Department of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China. 2. College of Pharmaceutical Sciences, Southwest University, Beibei, Chongqing, 400715, China. 3. Cardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Room 1928, Block K, 102 Pokfulam Road, Hong Kong SAR, 999077, China. 4. Cardiology Division, Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Room 1928, Block K, 102 Pokfulam Road, Hong Kong SAR, 999077, China. cwdsiu@hkucc.hku.hk. 5. Department of Cardiovascular Ultrasound and Non-invasive Cardiology, Health Management Center, Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, 32# W. Sec 2, 1st Ring Rd, Chengdu, 610072, China. yinlixue_cardiac@163.com.
Abstract
OBJECTIVE: To determine the impact of smoking status in the prediction of stroke using CHADS2 and CHA2DS2-VASc schemes. METHODS: Five hundred twenty-eight consecutive patients with arrhythmic symptoms and without any documented arrhythmia from Queen Mary Hospital, Hong Kong, were followed up to determine the incidence of ischemic stroke, new-onset atrial fibrillation (AF), or all-cause mortality. Smoking status was classified into nonsmokers and smokers. The pairwise comparisons of C-statistics for outcomes were performed. RESULTS: During a median follow-up period of 6.2 years, 65 (12.3%) individuals developed ischemic stroke. Smokers experienced higher annual incidence of stroke, a new-onset AF, and all-cause death compare to nonsmokers, with corresponding hazard ratio (HR) of stroke, AF, and all-cause death being 2.51 (95% confidence intervals, CI 1.36als, CIse death bein 1.15a3.24), and 1.95 (95% CI 1.161.95 (95% CIath being 2.51 (95% confidence corr2 and CHA2DS2-VASc for stroke were 0.60 (95% CI 0.51 for stp = 0.09) and 0.59 (95% CI 0.50 (95%, p = 0.15) respectively, whereas the C-statistics of CHADS2 and CHA2DS2-VASc were 0.66 (95% CI 0.61 were 0p = 0.005), 0.75 (95% CI 0.7 CI 0.7p < 0.0001), respectively among nonsmokers. After incorporating smoking, both the CHADS2-smoking and CHA2DS2-VASc-smoking achieved better C-statistics for new-onset ischemic stroke prediction superior to baseline score systems in male groups. CONCLUSION: Cigarette smoking status has impact on stroke stratification using CHADS2 and CHA2DS2-VASc scheme. The discrimination of the CHADS2 and CHA2DS2-VASc scheme for stroke can be significantly improved if smoking status is additionally considered.
OBJECTIVE: To determine the impact of smoking status in the prediction of stroke using CHADS2 and CHA2DS2-VASc schemes. METHODS: Five hundred twenty-eight consecutive patients with arrhythmic symptoms and without any documented arrhythmia from Queen Mary Hospital, Hong Kong, were followed up to determine the incidence of ischemic stroke, new-onset atrial fibrillation (AF), or all-cause mortality. Smoking status was classified into nonsmokers and smokers. The pairwise comparisons of C-statistics for outcomes were performed. RESULTS: During a median follow-up period of 6.2 years, 65 (12.3%) individuals developed ischemic stroke. Smokers experienced higher annual incidence of stroke, a new-onset AF, and all-cause death compare to nonsmokers, with corresponding hazard ratio (HR) of stroke, AF, and all-cause death being 2.51 (95% confidence intervals, CI 1.36als, CIse death bein 1.15a3.24), and 1.95 (95% CI 1.161.95 (95% CIath being 2.51 (95% confidence corr2 and CHA2DS2-VASc for stroke were 0.60 (95% CI 0.51 for stp = 0.09) and 0.59 (95% CI 0.50 (95%, p = 0.15) respectively, whereas the C-statistics of CHADS2 and CHA2DS2-VASc were 0.66 (95% CI 0.61 were 0p = 0.005), 0.75 (95% CI 0.7 CI 0.7p < 0.0001), respectively among nonsmokers. After incorporating smoking, both the CHADS2-smoking and CHA2DS2-VASc-smoking achieved better C-statistics for new-onset ischemic stroke prediction superior to baseline score systems in male groups. CONCLUSION: Cigarette smoking status has impact on stroke stratification using CHADS2 and CHA2DS2-VASc scheme. The discrimination of the CHADS2 and CHA2DS2-VASc scheme for stroke can be significantly improved if smoking status is additionally considered.
Authors: L Brent Mitchell; Danielle A Southern; Diane Galbraith; William A Ghali; Merril Knudtson; Stephen B Wilton Journal: Heart Date: 2014-05-23 Impact factor: 5.994
Authors: Matthias Bossard; Christopher B Granger; Jean-Francois Tanguay; Gilles Montalescot; David P Faxon; Sanjit S Jolly; Petr Widimsky; Kari Niemela; Philippe Gabriel Steg; Madhu K Natarajan; Peggy Gao; Keith A A Fox; Salim Yusuf; Shamir R Mehta Journal: J Am Heart Assoc Date: 2017-11-03 Impact factor: 5.501