Dataset Information

The relationship between smoking intensity and subclinical cardiovascular injury: The Multi-Ethnic Study of Atherosclerosis (MESA).

ABSTRACT:

Background and aims

Modern tobacco regulatory science requires an understanding of which biomarkers of cardiovascular injury are most sensitive to cigarette smoking exposure.

Methods

We studied self-reported current smokers from the Multi-Ethnic Study of Atherosclerosis. Smoking intensity was defined by number of cigarettes/day and urinary cotinine levels. Subclinical cardiovascular injury was assessed using markers of inflammation [high-sensitivity C-reactive protein (hsCRP), interleukin 6 & 2 (IL-2 & IL-6), tumor necrosis factor alpha (TNF-α)], thrombosis (fibrinogen, D-dimer, homocysteine), myocardial injury (troponin T; TnT), endothelial damage (albumin: creatinine ratio), and vascular function [aortic & carotid distensibility, flow-mediated dilation (FMD)]. Biomarkers were modeled as absolute and percent change using multivariable-adjusted linear regression models adjusted for cardiovascular risk factors and smoking duration.

Results

Among 843 current smokers, mean age was 58 (9) years, 53% were men, 39% were African American, mean number of cigarettes per day was 13 (10), and median smoking duration was 39 (15) years. Cigarette count was significantly associated with higher hsCRP, IL-6 and fibrinogen (β coefficients: 0.013, 0.011, 0.60 respectively), while ln-transformed cotinine was associated with the same biomarkers (β coefficients: 0.12, 0.04, 5.3 respectively) and inversely associated with aortic distensibility (β coefficient: -0.13). There was a limited association between smoking intensity and homocysteine, D-dimer, and albumin:creatinine ratio in partially adjusted models only, while there was no association with IL-2, TNF-α, carotid distensibility, FMD, or TnT in any model. In percent change analyses, relationships were strongest with hsCRP.

Conclusions

Smoking intensity was associated with early biomarkers of CVD, particularly, markers of systemic inflammation. Of these, hsCRP may be the most sensitive.

SUBMITTER: Al Rifai M

PROVIDER: S-EPMC5404388 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Publications

The relationship between smoking intensity and subclinical cardiovascular injury: The Multi-Ethnic Study of Atherosclerosis (MESA).

Al Rifai Mahmoud M DeFilippis Andrew P AP McEvoy John W JW Hall Michael E ME Acien Ana Navas AN Jones Miranda R MR Keith Rachel R Magid Hoda S HS Rodriguez Carlos J CJ Barr Graham R GR Benjamin Emelia J EJ Robertson Rose Marie RM Bhatnagar Aruni A Blaha Michael J MJ

Atherosclerosis 20170119

<h4>Background and aims</h4>Modern tobacco regulatory science requires an understanding of which biomarkers of cardiovascular injury are most sensitive to cigarette smoking exposure.<h4>Methods</h4>We studied self-reported current smokers from the Multi-Ethnic Study of Atherosclerosis. Smoking intensity was defined by number of cigarettes/day and urinary cotinine levels. Subclinical cardiovascular injury was assessed using markers of inflammation [high-sensitivity C-reactive protein (hsCRP), int ...[more]

PMID: 28237909

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Project description:ObjectiveWe sought to assess the impact of smoking status, cumulative pack-years, and time since cessation (the latter in former smokers only) on 3 important domains of cardiovascular disease: inflammation, vascular dynamics and function, and subclinical atherosclerosis.Approach and resultsThe Multi-Ethnic Study of Atherosclerosis (MESA) cohort enrolled 6814 adults without prior cardiovascular disease. Smoking variables were determined by self-report and confirmed with urinary cotinine. We examined cross-sectional associations between smoking parameters and (1) inflammatory biomarkers (high-sensitivity C-reactive protein [hsCRP], interleukin-6, and fibrinogen); (2) vascular dynamics and function (brachial flow-mediated dilation and carotid distensibility by ultrasound, as well as aortic distensibility by MRI); and (3) subclinical atherosclerosis (coronary artery calcification, carotid intima-media thickness, and ankle-brachial index). We identified 3218 never smokers, 2607 former smokers, and 971 current smokers. Mean age was 62 years and 47% were male. There was no consistent association between smoking and vascular distensibility or flow-mediated dilation outcomes. However, compared with never smokers, the adjusted association between current smoking and measures of either inflammation or subclinical atherosclerosis was consistently stronger than for former smoking (eg, odds ratio for hsCRP>2 mg/L of 1.7 [95% confidence interval, 1.5-2.1] versus 1.2 [1.1-1.4], odds ratio for coronary artery calcification>0 of 1.8 [1.5-2.1] versus 1.4 [1.2-1.6], respectively). Similar associations were seen for interleukin-6, fibrinogen, carotid intima-media thickness, and ankle-brachial index. A monotonic association was also found between higher pack-year quartiles and increasing inflammatory markers. Furthermore, current smokers with hsCRP>2 mg/L were more likely to have increased carotid intima-media thickness, abnormal ankle-brachial index, and coronary artery calcification>75th percentile for age, sex, and race (relative to smokers with hsCRP<2 mg/L, interaction P<0.05 for all 3 outcomes). In contrast, time since quitting in former smokers was independently associated with lower inflammation and atherosclerosis (eg, odds ratio for hsCRP>2 mg/L of 0.91 [0.88-0.95] and odds ratio for coronary artery calcification>0 of 0.94 [0.90-0.97] for every 5-year cessation interval).ConclusionsThese findings expand our understanding of the harmful effects of smoking and help explain the cardiovascular benefits of smoking cessation.

Dataset Information

The relationship between smoking intensity and subclinical cardiovascular injury: The Multi-Ethnic Study of Atherosclerosis (MESA).

Background and aims

Methods

Results

Conclusions

Publications

The relationship between smoking intensity and subclinical cardiovascular injury: The Multi-Ethnic Study of Atherosclerosis (MESA).

Similar Datasets

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