Childhood Tobacco Smoke Exposure and Risk of Atrial Fibrillation in Adulthood

Groh, Christopher A.; Vittinghoff, Eric; Benjamin, Emelia J.; Dupuis, Josée; Marcus, Gregory M.

doi:10.1016/j.jacc.2019.07.060

Cited by 28 publications

(17 citation statements)

References 24 publications

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“…The REGARDS study demonstrated that environmental tobacco smoke exposure is associated with a higher prevalence of AF, 42 and childhood second-hand smoke exposure predicts the increased risk for adulthood AF. 43 The Rotterdam Study reported a similar risk of AF in former smokers as it is current smokers. 8 In general, substance use leads to increased costs from decreased productivity, healthcare expenditure, and crime.…”

Section: Discussionmentioning

confidence: 95%

National rates and trends of tobacco and substance use disorders among atrial fibrillation hospitalizations

et al. 2021

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Section: Discussionmentioning

confidence: 95%

National rates and trends of tobacco and substance use disorders among atrial fibrillation hospitalizations

et al. 2021

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“…A meta-analysis showed that smoking was associated with AF with a summary relative risk (RR) = 1.14 (95%CI = 1.10-1.20) per 10 cigarettes per day, and RR = 1.16 (95%CI = 1.09-1.25) per 10 pack-years [ 52 ]. Another cross-sectional analysis revealed that there was an 18% increase of AF incidence in offspring with every pack/day increase in parental smoking (adjusted HR = 1.18, 95%CI = 1.00-1.39, P = 0.04) [ 53 ]. In context to alcohol, the HR for one drink (12 g) per day was 1.16 (95%CI = 1.11-1.22, P < 0.001), and abstinence from alcohol reduced AF recurrences [ 54 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

Association of RDW, NLR, and PLR with Atrial Fibrillation in Critical Care Patients: A Retrospective Study Based on Propensity Score Matching

et al. 2022

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Objective. Previous studies have shown inconsistent results in relation to the red cell distribution width (RDW), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR) of atrial fibrillation (AF). This retrospective study is aimed at detecting the association of RDW, NLR, and PLR with AF. Methods. A total of 4717 critical care patients were screened from the Medical Information Mart for Intensive Care- (MIMIC-) III database. The patients were separated into the non-AF and AF groups. The imbalances between the groups were reduced using propensity score matching (PSM). ROC curves were generated to detect the diagnostic value of RDW, NLR, and PLR. Logistic regression analysis was used to detect the risk factors for AF. Results. A total of 991 non-AF patients paired with 991 AF patients were included after PSM in this study. The RDW level in the AF group was significantly higher than that in the non-AF group ( 15.09 ± 1.93 vs. 14.89 ± 1.91 , P = 0.017 ). Neither NLR nor PLR showed any significant difference between the two groups ( P > 0.05 for each). According to ROC curve, RDW showed a very low diagnostic value of AF ( AUC = 0.5341 ), and the best cutoff of RDW was 14.1 ( ACU = 0.5257 , sensitivity = 0.658 , specificity = 0.395 ). Logistic regression analysis showed that an elevated RDW level increased 1.308-fold ( 95 % CI = 1.077 -1.588, P = 0.007 ) risk of AF. Neither elevated NLR nor elevated PLR was a significant risk factor for AF ( OR = 0.993 , 95 % CI = 0.802 -1.228, P = 0.945 for NLR; OR = 0.945 , 95 % CI = 0.763 -1.170, P = 0.603 for PLR). Conclusions. Elevated RDW level but not NLR or PLR levels is associated with AF. RDW > 14.1 is a risk factor for AF, but its diagnostic capacity for AF is not of great value.

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“…This exposure was thought to be associated with an increased risk for development of AF in younger adults. Smoke exposure had a significant role in the development of AF in a younger age population [ 26 ]. The hypothesis was that smoking increases oxidative stress, alters plasma catecholamine concentrations, and accelerates atrial remodeling thereby contributing to AF incidence [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years

Kim

Choi²,

Choi

et al. 2021

PLoS ONE

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Background Atrial fibrillation (AF) has a heterogeneous pathophysiology according to individual patient characteristics. This study aimed to identify the effects of widely known risk factors on AF incidence according to age and to elucidate the clinical implications of these effects. Methods and results We analyzed data from 501,668 subjects (≥18years old) without AF and valvular heart disease from the Korean National Health Insurance Service-National Sample Cohort. The total population was divided into two groups according to age, <60years and ≥60years. AF occurred in 0.7% of the overall population (3,416 of 501,668) during the follow-up period (mean 47.6 months). In Cox regression analysis, age, male sex, previous ischemic stroke, heart failure, and hypertension were related to increased risk of new-onset AF in both age groups. Especially in the <60years age group, risk of new-onset AF was increased by relatively modifiable risk factors: obesity (body mass index ≥25kg/m2; hazard ratio[HR] 1.37 [1.22–1.55], p<0.001, interaction p<0.001), and hypertension (HR 1.93[1.69–2.22], p<0.001, interaction p<0.001). Although interactions were not significant, chronic obstructive pulmonary disease (HR 1.41[1.24–1.60], p<0.001) and chronic kidney disease (HR 1.28[1.15–1.41], p<0.001) showed increased trends of the risk of new-onset AF in the ≥60years age group. Conclusion The risk profile for new-onset AF was somewhat different between the <60years and the ≥60years age groups. Compared to the ≥60years group, relatively modifiable risk factors (such as obesity and hypertension) had a greater impact on AF incidence in the <60years age group. Different management strategies to prevent AF development according to age may be needed.

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Childhood Tobacco Smoke Exposure and Risk of Atrial Fibrillation in Adulthood

Cited by 28 publications

References 24 publications

National rates and trends of tobacco and substance use disorders among atrial fibrillation hospitalizations

National rates and trends of tobacco and substance use disorders among atrial fibrillation hospitalizations

Association of RDW, NLR, and PLR with Atrial Fibrillation in Critical Care Patients: A Retrospective Study Based on Propensity Score Matching

Comparison of risk profiles for new-onset atrial fibrillation between patients aged <60 and ≥60 years

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