Background: Cigarette smoking has been shown to be associated with a decreased risk of death after acute myocardial infarction (AMI), which is also known as the "smokers' paradox." This study aimed to investigate the relationship between smoking and all-cause mortality after AMI.

Methods: We extracted the data of patients who were hospitalized for AMI between November 2005 and September 2010 from nationwide multicenter prospective registries in Korea.

Results: Among a total of 29,199 patients with AMI, 10,251 (42.3%) were current smokers, and 14,006 (57.7%) were nonsmokers. Current smokers were younger, more likely to be male, and had lower frequencies of hypertension, diabetes mellitus, dyslipidemia, and previous history of ischemic heart disease than nonsmokers. The initial presentation was less severe in terms of hemodynamic status, and angiography showed less complex coronary involvement in smokers. The overall mortality rate was 5.4% for current smokers and 9.9% for nonsmokers (hazard ratio [HR], 0.52; 95% confidence interval [CI], 0.47-0.58; p < .001). The gap in risk was attenuated after multivariable adjustment but remained statistically significant (HR, 0.85; 95% CI, 0.76-0.95; p = .005). Propensity score matching corroborated the results of reduced mortality among current smokers (6.7% vs. 7.6%; p = .005).

Conclusions: In this study, in which the patients received up-to-date treatment options, smoking was associated with a 48% decrease in the risk of all-cause mortality at 1 year after AMI.

Download full-text PDF

Source
http://dx.doi.org/10.1093/ntr/nts248DOI Listing

Publication Analysis

Top Keywords

current smokers
16
cigarette smoking
8
acute myocardial
8
myocardial infarction
8
smoking associated
8
all-cause mortality
8
mortality
5
smokers
5
smoking paradoxically
4
paradoxically associated
4

Similar Publications

Purpose: To explore associations of environmental and personal factors, participation, and health-related quality of life (HR-QoL) with physical behavior (PB) after subarachnoid hemorrhage (SAH).

Materials And Methods: PB, expressed in duration and distribution of physical activity (PA; walking, running, cycling) and sedentary behavior (SB; lying/sitting) and PA intensity was assessed with the Activ8 accelerometer during 7 days. Environmental and personal factors (social influence, health-condition, illness-perception, self-efficacy, fatigue, mood, kinesiophobia, cognition, coping, sleep), participation and HR-QoL, were assessed with validated questionnaires.

View Article and Find Full Text PDF

Introduction: There is substantial interest in the association of vaping e-cigarettes with the risk of cancer. We analyzed this risk in different populations by updating the Kings College London (KCL) review to include the period between July 2021 and December 2023.

Methods: We searched six databases and included peer-reviewed human, animal, and cell/ original studies examining the association between e-cigarettes and cancer risk, but we excluded qualitative studies.

View Article and Find Full Text PDF

Introduction: Smoking behaviors can be quantified using various indices. Previous studies have shown that these indices measure and predict health risks differently. Additionally, the choice of measure differs depending on the health outcome of interest.

View Article and Find Full Text PDF

Introduction: Psoriatic arthritis (PsA) is a chronic inflammatory arthropathy associated with cutaneous psoriasis (PsO), first defined by Moll and Wright. Initially perceived as relatively benign, PsA is now recognized for its chronic, progressive, and destructive nature, significantly impacting patients' quality of life, similar to Rheumatoid Arthritis (RA). Globally, PsA represents about 20% of cases in early arthritis clinics, posing diagnostic and management challenges.

View Article and Find Full Text PDF

The coronavirus disease 2019 (COVID-19) epidemic has brought major challenges to the global health system, and influenza is also a problem that cannot be ignored. We aimed to explore and compare the clinical characteristics of COVID-19 and influenza to deepen the understanding of these two diseases and provide some guidance for clinicians to make differential diagnoses. We searched PubMed, Embase and Web of Science for articles and performed a meta-analysis using Stata 14.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!