Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1 937 360 people in England: lifetime risks and implications for risk prediction (original) (raw)
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BMC Public Health, 2013
Background: Smoking is a major risk factor for cardiovascular disease (CVD). This multicenter, cross-sectional survey was designed to estimate the cardiovascular (CV) risk attributable to smoking using risk assessment tools, to better understand patient behaviors and characteristics related to smoking, and characterize physician practice patterns. Methods: 1,439 smokers were recruited from Europe during 2011. Smokers were ≥40 years old, smoked > 10 cigarettes/day and had recent measurements on blood pressure and lipids. CV risk was calculated using the SCORE system, Framingham risk equations, and Progetto CUORE model. The CV risk attributable to smoking was evaluated using a simulated control (hypothetical non-smoker) with identical characteristics as the enrolled smoker. Risks assessed included CV mortality, coronary heart disease (CHD), CVD and hard CHD. Demographics, comorbidities, primary reasons for consultation, behavior towards previous attempts to quit, and interest in smoking cessation was assessed. Dependence on nicotine was evaluated using the Fagerström Test for Nicotine Dependence. GP practice patterns were assessed through a questionnaire. Results: The prediction models consistently demonstrated a high CV risk attributable to smoking. For instance, the SCORE model demonstrated that this study population of smokers have a 100% increased probability of death due to cardiovascular disease in the next 10-years compared to non-smokers. A considerable amount of patients would like to hear from their GP about the different alternatives available to support their quitting attempt. Conclusions: The findings of this study reinforce the importance of smoking as a significant predictor of long-term cardiovascular events. One of the best gains in health could be obtained by tackling the most important modifiable risk factors; these results suggest smoking is among the most important.
American Heart Journal, 2019
Aims To quantify the relation between smoking cessation after a first cardiovascular (CV) event and risk of recurrent CV events and mortality. Methods Data were available from 4,673 patients aged 61 ± 8.7 years, with a recent (≤1 year) first manifestation of arterial disease participating in the SMART-cohort. Cox models were used to quantify the relation between smoking status and risk of recurrent major atherosclerotic cardiovascular events (MACE including stroke, MI and vascular mortality) and mortality. In addition, survival according to smoking status was plotted, taking competing risk of non-vascular mortality into account. Results A third of the smokers stopped after their first CV event. During a median of 7.4 (3.7-10.8) years of follow-up, 794 patients died and 692 MACE occurred. Compared to patients who continued to smoke, patients who quit had a lower risk of recurrent MACE (adjusted HR 0.66, 95% CI 0.49-0.88) and all-cause mortality (adjusted HR 0.63, 95% CI 0.48-0.82). Patients who reported smoking cessation on average lived 5 life years longer and recurrent MACE occurred 10 years later. In patients with a first CV event N70 years, cessation of smoking had improved survival which on average was comparable to former or never smokers. Conclusions Irrespective of age at first CV event, cessation of smoking after a first CV event is related to a substantial lower risk of recurrent vascular events and all-cause mortality. Since smoking cessation is more effective in reducing CV risk than any pharmaceutical treatment of major risk factors, it should be a key objective for patients with vascular disease.
European heart journal, 2015
We evaluated coronary artery disease (CAD) extent, severity, and major adverse cardiac events (MACEs) in never, past, and current smokers undergoing coronary CT angiography (CCTA). We evaluated 9456 patients (57.1 ± 12.3 years, 55.5% male) without known CAD (1588 current smokers; 2183 past smokers who quit ≥3 months before CCTA; and 5685 never smokers). By risk-adjusted Cox proportional-hazards models, we related smoking status to MACE (all-cause death or non-fatal myocardial infarction). We further performed 1:1:1 propensity matching for 1000 in each group evaluate event risk among individuals with similar age, gender, CAD risk factors, and symptom presentation. During a mean follow-up of 2.8 ± 1.9 years, 297 MACE occurred. Compared with never smokers, current and past smokers had greater atherosclerotic burden including extent of plaque defined as segments with any plaque (2.1 ± 2.8 vs. 2.6 ± 3.2 vs. 3.1 ± 3.3, P < 0.0001) and prevalence of obstructive CAD [1-vessel disease (VD...
BMC Research Notes, 2011
Background: Risk prediction for CVD events has been shown to vary according to current smoking status, packyears smoked over a lifetime, time since quitting and age at quitting. The latter two are closely and inversely related. It is not known whether the age at which one quits smoking is an additional important predictor of CVD events. The aim of this study was to determine whether the risk of CVD events varied according to age at quitting after taking into account current smoking status, lifetime pack-years smoked and time since quitting. Findings: We used the Cox proportional hazards model to evaluate the risk of developing a first CVD event for a cohort of participants in the Framingham Offspring Heart Study who attended the fourth examination between ages 30 and 74 years and were free of CVD. Those who quit before the median age of 37 years had a risk of CVD incidence similar to those who were never smokers. The incorporation of age at quitting in the smoking variable resulted in better prediction than the model which had a simple current smoker/non-smoker measure and the one that incorporated both time since quitting and pack-years. These models demonstrated good discrimination, calibration and global fit. The risk among those quitting more than 5 years prior to the baseline exam and those whose age at quitting was prior to 44 years was similar to the risk among never smokers. However, the risk among those quitting less than 5 years prior to the baseline exam and those who continued to smoke until 44 years of age (or beyond) was two and a half times higher than that of never smokers.
Smoking and myocardial infarction case-fatality: hospital and population approach
European Journal of Cardiovascular Prevention & Rehabilitation, 2007
Background Smoking is a risk factor for coronary heart disease, but it has been associated with better short-term prognosis in hospitalized patients with acute myocardial infarction. The aims of this study were to determine the association between smoking and myocardial infarction 28-day case-fatality in hospitalized patients and at the population level; and, whether smokers presenting with fatal myocardial infarction are more likely to die before reaching a hospital. Design and methods Population-based myocardial infarction registry, carried out in 1997-1998 in seven regions of Spain, used standardized methods to find and analyze suspected myocardial infarction patients (10 654 patients; 7796 hospitalized). Four categories of smoking status were defined: never-smokers, former smokers for more than 1 year, former smokers for less than 1 year, and current smokers. Results The main end-point was 28-day case-fatality, found to be 20.1, 17.1, 15.6, and 8.9%, in the four smoking status categories, respectively, for hospitalized patients; and 37.4, 33.0, 24.5, and 23.2%, respectively, at population level. Hospitalized current smokers had lower age, sex, and comorbidity-adjusted 28-day case-fatality than never-smokers (odds ratio = 0.71; 95% confidence interval: 0.56-0.90). This association held at population level (odds ratio = 0.68; 95% confidence interval: 0.60-0.76), in which former smoking was also associated with lower case-fatality. In fatal cases, recent former smokers presented a lower risk of out-of-hospital death than never-smokers (odds ratio = 0.47; 95% confidence interval: 0.29-0.77), whereas current smoking was marginally associated with out-of-hospital death (odds ratio = 1.22; 95% confidence interval: 0.99-1.50). Conclusions Current smoking is associated with lower 28-day case-fatality in hospitalized myocardial infarction patients. This association held at population level. Among fatal cases, smoking is associated with higher and recent former smoking with lower risk of dying out-of-hospital. Eur J Cardiovasc Prev Rehabil 14:561-567 AAS, aspirine; MI, myocardial infarction; Non-Q, absence of Q wave in the electrocardiogram; PTCA, percutaneous transluminal coronary angioplasty. a Mean (standard deviation). b Occurrence of ventricular fibrillation or sustained ventricular tachycardia requiring immediate medical treatment.
ACUTE MYOCARDIAL INFARCTION : ASSOCIATION WITH TIME SINCE STOPPING SMOKING IN ITALY
Journal of epidemiology and community health
The study aimed to investigate the relationship between years since stopping smoking and the risk of acute myocardial infarction. This was a hospital based, multicentre, case-control study conducted in Italy between September 1988 and June 1989 within the framework of the GISSI-2 clinical trial. Over 80 coronary care units in various Italian regions participated. A total of 916 incident cases of acute myocardial infarction, below age 75 years, and with no history of ischaemic heart disease, and 1106 control subjects admitted to the same hospitals for acute, non-neoplastic, cardiovascular or cerebrovascular conditions that were not known or suspected to be related to cigarette smoking took part in the study. Measures were relative risk (RR) estimates of acute myocardial infarction according to the time since stopping smoking and adjusted for identified potential confounding factors. Compared with never smokers, the multivariate RRs were 1.6 (95% confidence interval (CI) 0.8,3.2) for subjects who had given up smoking for one year; 1.4 (95% CI 0.9,2.1) for those who had stopped for two to five years; 1.2 (95% CI 0.7,2.1) for six to 10 years; and 1.1 (95% CI 0.8,1.8) for those who had not smoked for over 10 years. The estimated RR for current smokers was 2.9 (95% CI 2.2,3.9). The risks of quitters were higher for heavier smokers and those below age 50 years, while no difference emerged in relation to the duration of smoking, sex, and other risk factors for myocardial infarction. These results indicate that there is already a substantial drop in the risk of acute myocardial infarction one year after stopping. The risk in ex-smokers, however, seemed higher (although not significantly) than that of those who had never smoked, even more than 10 years after quitting. This could support the existence of at least two mechanisms linking cigarette smoking with acute myocardial infarction--one involving thrombogenesis or spasms that occurs over the short term, and another involving atherosclerosis that is a long term effect.