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Impact of Smoking Status on Stroke Recurrence.

ABSTRACT: Background Smoking is a well-established risk factor of stroke and smoking cessation has been recommended for stroke prevention; however, the impact of smoking status on stroke recurrence has not been well studied to date. Methods and Results Patients with first-ever stroke were enrolled and followed in the NSRP (Nanjing Stroke Registry Program). Smoking status was assessed at baseline and reassessed at the first follow-up. The primary end point was defined as fatal or nonfatal recurrent stroke after 3 months of the index stroke. The association between smoking and the risk of stroke recurrence was analyzed with multivariate Cox regression model. At baseline, among 3069 patients included, 1331 (43.4%) were nonsmokers, 263 (8.6%) were former smokers, and 1475 (48.0%) were current smokers. At the first follow-up, 908 (61.6%) patients quit smoking. After a mean follow-up of 2.4±1.2 years, 293 (9.5%) patients had stroke recurrence. With nonsmokers as the reference, the adjusted hazard ratios for stroke recurrence were 1.16 (95% CI , 0.75-1.79) in former smokers, 1.31 (95% CI , 0.99-1.75) in quitters, and 1.93 (95% CI , 1.43-2.61) in persistent smokers. Among persistent smokers, hazard ratios for stroke recurrence ranged from 1.68 (95% CI , 1.14-2.48) in those who smoked 1 to 20 cigarettes daily to 2.72 (95% CI , 1.36-5.43) in those who smoked more than 40 cigarettes daily ( P for trend <0.001). Conclusions After an initial stroke, persistent smoking increases the risk of stroke recurrence. There exists a dose-response relationship between smoking quantity and the risk of stroke recurrence.

SUBMITTER: Chen J

PROVIDER: S-EPMC6507189 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Impact of Smoking Status on Stroke Recurrence.

Chen Jingjing J Li Shun S Zheng Kuo K Wang Huaiming H Xie Yi Y Xu Pengfei P Dai Zhengze Z Gu Mengmeng M Xia Yaqian Y Zhao Min M Liu Xinfeng X Xu Gelin G

Journal of the American Heart Association 20190401 8

Background Smoking is a well-established risk factor of stroke and smoking cessation has been recommended for stroke prevention; however, the impact of smoking status on stroke recurrence has not been well studied to date. Methods and Results Patients with first-ever stroke were enrolled and followed in the NSRP (Nanjing Stroke Registry Program). Smoking status was assessed at baseline and reassessed at the first follow-up. The primary end point was defined as fatal or nonfatal recurrent stroke ...[more]

PMID: 30955409

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Project description:IntroductionSmoking history is a known risk factor for significant chronic diseases as well as pulmonary infections; however, the impact of smoking status on COVID-19 outcomes has not been conclusively characterized. This study aims to evaluate the association of smoking status on COVID-19 outcomes, and to explore the mechanism by which smoking and smoking-related comorbidities relate to COVID-19 outcomes.MethodsPatients admitted with SARS-CoV-2 infection from November 2020 through January 2021 were included in this study. Causal mediation models investigating the associations between smoking status and the outcomes of mortality, intensive care unit (ICU) admission, advanced respiratory support, mechanical ventilation, ICU length of stay, and hospital length of stay, through mediation via smoking-related comorbidities, were examined.ResultsActive smokers did not experience worse COVID-19 outcomes once hospitalized. Former smokers had a higher odds of mortality (total effect OR 1.59, 95% CI 1.07-2.38, p=.01; indirect effect OR 1.45, 95% CI 1.09-1.93, p<.001), and advanced respiratory support (total effect OR 1.31, 95% CI 1.04-1.67, p=.02; indirect effect OR 1.26, 95% C1.03-1.54, p=.02), which were mediated by smoking-related comorbidities. While there was a non-significant increase in the total effect for mechanical ventilation, smoking-related comorbidities were significant mediators for their increased need (total effect OR 1.40, 95% CI 0.92-2.14, p=.13; indirect effect OR 1.47, 95% CI 1.10-1.87, p<.001).ConclusionWhile active smokers did not experience worse COVID-19 outcomes compared to never smokers, these results should be interpreted with caution. Compared to never smokers, former smokers had greater odds of mortality, advanced respiratory support, and mechanical ventilation which was significantly mediated through smoking-related comorbidities.ImplicationsPrevious studies have linked smoking status with worse COVID-19 outcomes, and have inferred that smoking-related comorbidities may play a role in these findings. This causal mediation analysis provides statistical evidence supporting this hypothesis, clarifying the risk that smoking-related comorbidities impart on COVID-19 outcomes in those with a smoking history.

Project description:It is a matter of speculation whether the high prevalence of smoking among Hungarian Roma (HR) is related to genetic, gene-environmental interactions or cultural factors. Our aim is to compare the genetic susceptibility and possible effects of determinants associated with smoking behaviours in the Hungarian general (HG) and Roma populations. A complex health survey including three pillars (questionnaire, physical and laboratory examinations) was carried out (NHG = 412 and NHR = 402). Risk allele frequencies of ten single-nucleotide polymorphisms (SNPs) were compared, and their combined effect was estimated by computing unweighted and weighted genetic risk scores (GRS, wGRS). The effects of genetic and environmental factors were investigated in regression analyses after confounders were introduced. Socio-economic status (SES) was calculated based on the Kuppuswamy scale 2019. Risk allele frequencies of only four SNPs were found to be different between populations (p < 0.01). Median values of GRS did not differ, while the wGRS median was slightly higher among Roma individuals (5.2 vs. 4.9; p = 0.02). Roma individuals were more likely to be heavy smokers (ORmales = 2.05, 95% CI [1.47–2.86]; ORfemales = 1.89, 95% CI [1.58–2.25]. Smokers have lower SES compared to never smokers (SES βHR = −0.039, p = 0.023; βHG = −0.010, p = 0.049). An inverse relationship was found between SES and smoking behaviours (p < 0.0001) and was found to be a better predictor of smoking behaviours than genetic susceptibility. Our study findings suggest that the high prevalence of smoking behaviours and nicotine-dependence were not revealed to have a genetic susceptibility among HR individuals; therefore, the highest efforts should be focused on targeting SES-related factors in the Roma population. Strengths of the study: This is the first study carried out to investigate and detect the most relevant factors and the possible genetic background of the extremely high prevalence of smoking based in the Roma population. Limitations of the study: No standard instrument has been used to assess the intensity of addiction to nicotine. Because of some participants’ unwillingness to define themselves as Roma, the overall HR population was not represented by the sample of this study.

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Impact of Smoking Status on Stroke Recurrence.

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Impact of Smoking Status on Stroke Recurrence.

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