A comparison of self-reported to cotinine-detected smoking status among adults in Georgia

Cigarette Smoking and its Association with Primary Open Angle Glaucoma: A Systematic Review and Meta-Analysis

PURPOSE

To systematically assess the association between cigarette smoking and development of Primary Open Angle Glaucoma (POAG) in the general adult population. Heterogeneity will be explored appropriately.

METHODS

Outcomes of glaucoma, OAG and POAG were explored in adults who were current, former, and never cigarette smokers. An additional category of 'smokers with "any" smoking status' was used where former smokers were not clearly distinguished from current and never smokers and in smokers whose form of smoking was not defined. All studies were observational and there was no limit to time period. Databases used were MEDLINE, Embase, Global Health and Web of Science. Study quality was assessed using the JBI critical appraisal tool. The DerSimonian-Laird random-effects model and weighting method was applied for meta-analysis with subgroup and sensitivity analyses along with meta-regression.

RESULTS

Four cohort, six cross-sectional and nine case-control studies were included. Only one cohort study attained a low risk of bias (RoB), two cohort studies were of medium RoB and the rest of the studies were of high RoB. There was no evidence for an association between smoking statuses: current smoking: OR 0.96, 95%CI (0.76,1.21), former smoking: OR 0.96, 95%CI (0.83,1.11), smoking (any): OR 1.48, 95%CI (0.96, 2.29) and glaucoma. Sensitivity analyses did not have a material impact on findings. Heterogeneity was not explained by smoking status, study quality, smoking exposure, and glaucoma outcome criteria.

CONCLUSION

This review suggests no evidence for an association between cigarette smoking and the development of POAG. There was no evidence that current, former, and general smoking increased the risk of glaucoma.

The challenges of recruiting never-smokers with chronic obstructive pulmonary disease from the large population-based Swedish CArdiopulmonary bioImage study (SCAPIS) cohort

Background

A substantial proportion of individuals with COPD have never smoked, and it is implied to be more common than previously anticipated but poorly studied.

Aim

To describe the process of recruitment of never-smokers with COPD from a population-based cohort (n = 30 154).

Methods

We recruited never-smokers with COPD, aged 50-75 years, from six University Hospitals, based on: 1) post broncho-dilator forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC) < 0.70 and 2) FEV1 50-100% of predicted value and 3) being never-smokers (self-reported). In total 862 SCAPIS participants were identified, of which 652 were reachable and agreed to a first screening by telephone. Altogether 128 (20%) were excluded due to previous smoking or declined participation. We also applied a lower limit of normal (LLN) of FEV1/FVC (z-score<-1.64) according to the Global Lung Initiative to ensure a stricter definition of airflow obstruction.

Results

Data on respiratory symptoms, health status, and medical history were collected from 492 individuals, since 32 were excluded at a second data review (declined or previous smoking), prior to the first visit. Due to not matching the required lung function criteria at a second spirometry, an additional 334 (68%) were excluded. These exclusions were by reason of: FEV1/FVC ≥0.7 (49%), FEV1 > 100% of predicted (26%) or z-score ≥ -1,64 (24%). Finally, 154 never-smokers with COPD were included: 56 (36%) women, (mean) age 60 years, FEV1 84% of predicted, FEV1/FVC: 0.6, z-score: -2.2, Oxygen saturation: 97% and BMI: 26.8 kg/m2.

Conclusions

The challenges of a recruitment process of never-smokers with COPD were shown, including the importance of correct spirometry testing and strict inclusion criteria. Our findings highlight the importance of repeated spirometry assessments for improved accuracy in diagnosing COPD.

Pack Years of Tobacco Cigarette Smoking as a Predictor of Bony Fusion after Anterior Cervical Discectomy and Fusion

OBJECTIVE

Smoking tobacco cigarettes negatively impacts bone healing after spinal fusion. Smoking history is often assessed based on current smoker and nonsmoker status. However, in current research, smoking history has not been quantified in terms of pack years to estimate lifetime exposure and assess its effects. Our goal was to investigate the influence of smoking history, quantified in pack years, on bony fusion after anterior cervical discectomy and fusion (ACDF).

METHODS

A retrospective chart review of consecutive patients who underwent ACDF for cervical disc degeneration between September 21, 2017 and October 17, 2018 was conducted. Patient demographics, procedural variables, and postoperative outcomes were analyzed. Multivariate logistic regression analysis was performed to identify predictive factors for bony fusion following ACDF. Receiver operating characteristic curve analysis was used to determine the optimal discrimination threshold for smoking history pack years in association with nonfusion.

RESULTS

Among 97 patients identified, 90 (93%) demonstrated bony fusion on postoperative imaging. Mean number of smoking history pack years was 6.1 ± 13 for the fusion group and 16 ± 21 for the nonfusion group. Multivariate logistic regression analysis suggested that increased pack years of tobacco cigarette smoking was a significant predictor of nonfusion (95% confidence interval, [1.0,1.1], P = 0.045). The receiver operating characteristic curve analysis revealed that 6.1 pack years best stratified the risk for nonfusion (area under the curve, 0.8).

CONCLUSIONS

Patients with a history of tobacco cigarette smoking ≥6.1 pack years may have an increased risk of nonfusion after ACDF.

Illicit cigarette market in Georgia: potential impacts on smoking prevalence and tax revenues

OBJECTIVES

This study aims to examine the impact of taxation measures implemented between 2017 and 2019 on the illicit cigarette market in Georgia and to assess the potential effects of its full elimination on smoking rates and tax revenues.

STUDY DESIGN

This was a cross-sectional and observational study.

METHODS

The study uses the gap analysis method to estimate the size of the illicit market by comparing self-reported cigarette consumption with tax-paid cigarette sales. Potential changes in cigarette consumption are calculated using estimates of price demand elasticity and the price difference between licit and illicit cigarettes. The applicable excise tax is then applied to the estimated change in licit cigarette consumption to determine the potential change in tax revenues.

RESULTS

In 2020, illicit cigarettes accounted for 6.4% of the market, which decreased to 0.6% in 2021. Eliminating the illicit cigarette market could potentially reduce the number of smokers by 0.5% in 2020 and 0.1% in 2021. It could also lead to a 2.8% increase in excise tax revenues in 2020 and a 0.2% increase in 2021. The study highlights a notable shift in consumer behavior since 2019 toward smoking roll-your-own (RYO) cigarettes.

CONCLUSIONS

Tax increases did not have a significant impact on the size of the illicit market in Georgia. The shift in consumer preference toward RYO cigarettes may explain why the illicit cigarette market did not expand after the tax hikes. However, this shift diminishes the effectiveness of taxation policies in reducing smoking rates and leads to a decline in excise tax collection.

Salivary cytokine expression after non-surgical periodontal therapy in smokers: 12-month follow-up

BACKGROUND

Diverse smoking trajectories may influence cytokine expression after non-surgical periodontal therapy and supportive periodontal care. Thus, we aimed to describe cytokine profiles in periodontal healing after periodontal therapy in smokers.

METHODS

A smoking cessation program and non-surgical periodontal therapy were offered to 80 smokers with periodontitis. Smoking trajectories (quitters/light, moderate, heavy) were observed. The association of salivary interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, interferon-gamma (IFN-γ), and tumor necrosis factor-alpha (TNF-α) with smoking trajectories and periodontal outcomes was determined using mixed-effects linear regression.

RESULTS

Among quitters/light smokers, IL-1β was associated with an increase in mean periodontal pocket depth (PPD) and mean clinical attachment level (CAL). IL-6 was associated with a decrease in mean PPD and CAL in heavy smokers, whereas IL-8 was associated with a decrease in PPD among moderate smokers. TNFα was associated with a reduction in mean PPD and CAL among quitters/light smokers, while among moderate smokers, TNFα was associated with an increase in mean PPD and CAL. IL-12 and IL-13 were associated with a decrease in mean PPD in moderate smokers.

CONCLUSION

Our findings suggest that distinctive smoking exposures induce differential cytokine expression, which, in turn, seems to influence periodontal repair.

Effect of Smoking Exposure on Nonsurgical Periodontal Therapy: 1-Year Follow-up

This study investigated the influence of different levels of exposure to smoking on periodontal healing for 12 mo after nonsurgical periodontal therapy and supportive periodontal care every third month. Eighty smokers willing to quit smoking and with periodontitis were included. Participants were offered an individualized voluntary smoking cessation program. Data collection included questionnaires and a full-mouth periodontal examination. Group-based trajectory modeling was used to model smoking trajectories over the follow-up. The effect of smoking trajectory on periodontal parameters over time was estimated with mixed effects modeling. Three smoking patterns were identified: light smokers/quitters (n = 46), moderate smokers (n = 17), and heavy smokers (n = 17). For the periodontal data, the first factor, moderate periodontitis, included the number of sites with clinical attachment levels (CALs) of 4, 5, 6, and 7 mm; periodontal pocket depths (PPDs) of 4, 5, and 6 mm; and bleeding on probing. The second factor, severe periodontitis, consisted of the number of sites with a CAL ≥8 mm and PPD ≥7 mm. Heavy smokers commenced with a higher average CAL of 1.1 mm and 10 more sites with severe periodontitis than light smokers/quitters. While light smokers/quitters and moderate smokers obtained an average improvement of 0.6-mm PPD and 0.7-mm CAL, respectively, heavy smokers experienced 0.5-mm attachment loss. Heavy smokers had only a 50% reduction in the number of sites with moderate periodontitis when compared with light smokers/quitters and moderate smokers. While most participants benefited from nonsurgical periodontal therapy with results affected in a dose-response manner, the therapy had no effect on severe periodontitis among heavy smokers. Smoking cessation should be part of periodontal therapy; otherwise, limited benefits would be observed among heavy smokers, hindering the effect of treatment.

Placental transcriptomic signatures of prenatal exposure to Hydroxy-Polycyclic aromatic hydrocarbons

BACKGROUND

Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous pollutants originating from petrogenic and pyrogenic sources. PAH compounds can cross the placenta, and prenatal PAH exposure is linked to adverse infant and childhood health outcomes.

OBJECTIVE

In this first human transcriptomic assessment of PAHs in the placenta, we examined associations between prenatal PAH exposure and placental gene expression to gain insight into mechanisms by which PAHs may disrupt placental function.

METHODS

The ECHO PATHWAYS Consortium quantified prenatal PAH exposure and the placental transcriptome from 629 pregnant participants enrolled in the CANDLE study. Concentrations of 12 monohydroxy-PAH (OH-PAH) metabolites were measured in mid-pregnancy urine using high performance liquid chromatography tandem mass spectrometry. Placental transcriptomic data were obtained using paired-end RNA sequencing. Linear models were fitted to estimate covariate-adjusted associations between maternal urinary OH-PAHs and placental gene expression. We performed sex-stratified analyses to evaluate whether associations varied by fetal sex. Selected PAH/gene expression analyses were validated by treating HTR-8/SVneo cells with phenanthrene, and quantifying expression via qPCR.

RESULTS

Urinary concentrations of 6 OH-PAHs were associated with placental expression of 8 genes. Three biological pathways were associated with 4 OH-PAHs. Placental expression of SGF29 and TRIP13 as well as the vitamin digestion and absorption pathway were positively associated with multiple metabolites. HTR-8/SVneo cells treated with phenanthrene also exhibited 23 % increased TRIP13 expression compared to vehicle controls (p = 0.04). Fetal sex may modify the relationship between prenatal OH-PAHs and placental gene expression, as more associations were identified in females than males (45 vs 28 associations).

DISCUSSION

Our study highlights novel genes whose placental expression may be disrupted by OH-PAHs. Increased expression of DNA damage repair gene TRIP13 may represent a response to double-stranded DNA breaks. Increased expression of genes involved in vitamin digestion and metabolism may reflect dietary exposures or represent a compensatory mechanism to combat damage related to OH-PAH toxicity. Further work is needed to study the role of these genes in placental function and their links to perinatal outcomes and lifelong health.

Quantitative bias analysis of prevalence under misclassification: evaluation indicators, calculation method and case analysis

Prevalence estimates are fundamental to epidemiological studies. Although they are highly vulnerable to misclassification bias, the risk of bias assessment of prevalence estimates is often neglected. Quantitative bias analysis (QBA) can effectively estimate misclassification bias in epidemiological studies; however, relatively few applications are identified. One reason for its low usage is the lack of knowledge and tools for these methods among researchers. To expand existing evaluation methods, based on the QBA principles, three indicators are proposed. One is the relative bias that quantifies the bias direction through its signs and the bias magnitude through its quantity. The second is the critical point of positive test proportion in case of a misclassification bias that is equal to zero. The third is the bound of positive test proportion equal to adjusted prevalence at misclassification bias level α. These indicators express the magnitude, direction and uncertainty of the misclassification bias of prevalence estimates, respectively. Using these indicators, it was found that slight oscillations of the positive test proportion within a certain range can lead to substantial increases in the misclassification bias. Hence, researchers should account for misclassification error analytically when interpreting the significance of adjusted prevalence for epidemiological decision making. This highlights the importance of applying QBA to these analyses. In this article, we have used three real-world cases to illustrate the characteristics and calculation methods of presented indicators. To facilitate application, an Excel-based calculation tool is provided.

Analysis of the illicit tobacco market in Georgia in response to fiscal and non-fiscal tobacco control measures

BACKGROUND

Georgian illicit cigarette consumption was 1.5% in 2017. In 2018, a new tobacco control law took effect followed by a substantial cigarette excise tax increase in 2019. Research shows these policies reduce tobacco consumption, but the tobacco industry argues they increase illicit trade. There is limited evidence on this, particularly from developing countries.

METHODS

A panel household survey in Georgia obtained data over three waves: 2017 baseline, 2018 after the tobacco control law took effect and 2019 after taxes increased. A sample of 1578 smokers (and quitters in later waves) from five regions reported their tobacco use and were asked to present a cigarette pack in their possession. These were examined for tax stamps and health warnings to establish legality.

FINDINGS

There was no evidence of an increase in illicit cigarette consumption in Tbilisi, Kutaisi, Akhaltsikhe or Gori in any wave. In Zugdidi, near the Russian-occupied Abkhazia, illicit cigarette consumption was increasing even prior to the tax increase, reaching 30.9% by wave 3. A country-wide shift occurred from manufactured cigarettes to roll-your-own tobacco (whose tax remained unchanged) between waves 2 and 3.

CONCLUSION

No evidence of a country-wide increase in illicit cigarette trade was found after non-fiscal tobacco measures took effect and cigarette taxes increased. Relatively high illicit cigarette consumption in Zugdidi highlights the role of disputed territories and border administration in illicit cigarette supply. Substitution towards roll-your-own tobacco after manufactured cigarette taxes increased demonstrates the importance of equalising taxes on tobacco products to maximise public health benefits.

Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019

BACKGROUND

The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories.

METHODS

In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors.

FINDINGS

Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths.

INTERPRETATION

The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities.

FUNDING

Bill & Melinda Gates Foundation.

Effects of fun-seeking and external locus of control on smoking behaviour: a cross-sectional analysis on a cohort of working men in Singapore

OBJECTIVES

We examined the combined effects of behavioural inhibition and behavioural activation, on one hand, and locus of control, on the other hand, on different categories of smoking behaviour (non-smoking, ex-smoking, occasional smoking, daily smoking).

DESIGN

This study adopted a cross-sectional design. Participants completed questionnaires regarding demographics, smoking patterns, behavioural inhibition/behavioural activation systems and locus of control.

SETTING

The study was conducted across four companies from the transportation, cooling plant and education sectors in Singapore.

PARTICIPANTS

Three hundred sixty-nine male working adults were included in the final sample.

RESULTS

Corroborating previous research, a logistic regression model examining behavioural inhibition/behavioural activation systems revealed that the fun-seeking aspect of behavioural activation was a unique predictor in distinguishing non-smokers from daily smokers (OR=1.24, p=0.012). By contrast, in a separate model examining locus of control, external locus of control was found to be a unique predictor in distinguishing non-smokers from daily smokers (OR=1.13, p<0.001). In addition, a third model combining both behavioural inhibition/behavioural activation systems and locus of control found that only external locus of control remained a significant predictor (OR=1.12, p<0.001). Further analyses revealed a mediating effect of external locus of control on the relationship between fun-seeking and smoking behaviour. That is, the increase in the odds of daily smoking due to fun-seeking was explained by external locus of control (direct pathway OR=1.20, p=0.058; indirect pathway OR=1.04, p<0.050).

CONCLUSIONS

Overall, fun-seeking through its influence on external locus of control indirectly affects daily smoking behaviour, suggesting a more complex relationship than shown in previous research.

Prevalence and factors associated with tobacco use among beneficiaries attending the youth mental health promotion clinics (Yuvaspandana Kendra) in India: A case-record analysis

INTRODUCTION

Chewing tobacco and smoking among youth leads to poor health outcomes. Understanding the factors associated with chewing tobacco and smoking is thus important for interventions.

METHODS

A case-record analysis among 10340 youth (aged 15-35 years) attending a unique mental health promotion program, Yuva Spandana, across the state of Karnataka in southern India, was performed to assess prevalence of chewing tobacco and smoking. Multiple logistic regression was applied to determine the factors associated with their use.

RESULTS

Overall, the prevalence of chewing tobacco and smoking among beneficiaries was 3% and 2.1%, respectively. The risk of tobacco chewing and smoking increased with age and risk was higher among males, married individuals and among all occupational categories, other than students. Adjusted odds ratios of chewing tobacco were found to be highest among business/salaried beneficiaries (AOR=3.48; 95% CI: 2.27-5.34), followed by ever married beneficiaries (AOR=3.41; 95% CI: 1.27-9.17). Adjusted odds ratios of smoking tobacco were highest among males (AOR=12.89; 95% CI: 7.5-22.14), followed by emotional experience of feeling worthless (AOR=4.19; 95% CI: 2.78-6.32), beneficiaries with poor relationship with family members (AOR=3.79; 95% CI: 1.38-10.44), and business/salaried beneficiaries (AOR=2.90; 95% CI: 1.79-4.7). Strength of association of males with smoking was much higher (AOR=12.89; 95% CI: 7.5-22.14) than compared with chewing tobacco (AOR=2.49; 95% CI: 1.89-3.28).

CONCLUSIONS

Early identification of these factors associated with chewing tobacco and smoking will help in focusing on youth specific health promotion and interventions to improve their overall health and wellbeing.

Public Health Burden of Secondhand Smoking: Case Reports of Lung Cancer and a Literature Review

Secondhand smoke (SHS), composed of mainstream and sidestream smoke, is a known human carcinogen. It contains a variety of harmful substances at even higher concentrations than mainstream smoke itself, which is inhaled during firsthand smoking. Exposure to SHS, affecting more than a third of the worldwide population, increases the likelihood of lung cancer by roughly 30%, with specific contributions depending on the histological type of cancer. This study aimed to present the harmful potential of SHS through case reports and describe the burden of SHS via a literature review. From a collection of lung cancer case reports occurring in never smokers from the Olomouc district over the last 10 years, 2 cases with no risk factors for lung cancer except for significant exposure to SHS were identified. Both cases were of young women who lived in households where their parents smoked during childhood. They suffered from rarer histological types of lung cancer in which the association with SHS has not yet been analyzed. As the literature confirms, SHS has the most adverse effects in individuals exposed during childhood. It is necessary to both take measures to reduce the prevalence of SHS, especially among children in households and pay due attention to the smoking history of patients, including current and previous exposure to SHS, when obtaining anamnestic data. Furthermore, the effect of SHS on rarer histological types of lung cancer should be studied.

Adherence to secondary prevention recommendations after coronary artery bypass graft surgery

OBJECTIVE

This study was undertaken to assess and evaluate adherence to secondary prevention recommendations and risk factor modifications among a patient cohort at a single-tertiary centre in Ireland, following coronary artery bypass grafting (CABG).

METHODS

This is a retrospective observational study analysing patients who had CABG from 2015 to 2020, identified via the Adult Cardiac Surgery Database. Patients were asked a number of questions either over the phone or via postal survey, regarding blood pressure, cholesterol control, adherence to medication, attendance at cardiac-rehab and lifestyle factors. Any repeat interventions following CABG were noted.

RESULTS

A total of 540 patients were invited to take part in this study. One hundred seventy-three patients consented to participate, ranging from 47 to 86 years old. Postoperatively, 59% of participants attended cardiac rehab. 90.2% of patients report taking a statin, 91.3% report taking an antiplatelet, 77.4% report taking a β-blocker and 75.7% take an antihypertensive. 93.1% of patients questioned in this study reported full compliance with their daily medications. Sixteen patients continue to have hypertension despite their current regimen. Thirteen patients continue to have hypercholesterolemia despite their current prescription. 62.4% of participants have quit smoking with only 4.6% remaining current smokers. No patients required re-operation, and eight patients required stenting. Compliance with diet and exercise modifications was suboptimal.

CONCLUSION

In this patient population, adherence to medication and control of risk factors is acceptable. However, there is room for improvement in terms of attendance at cardiac rehab (59%) and maintenance of a healthy lifestyle post-CABG.

Race-specific associations of urinary phenols and parabens with adipokines in midlife women: The Study of Women's Health Across the Nation (SWAN)

Adipokines, cytokines secreted by adipose tissue, may contribute to obesity-related metabolic disease. The role of environmental phenols and parabens in racial difference in metabolic disease burden has been suggested, but there is limited evidence. We examined the cross-sectional associations of urinary phenols and parabens with adipokines and effect modification by race. Urinary concentrations of 6 phenols (bisphenol-A, bisphenol-F, 2,4-diclorophenol, 2,5-diclorophenol, triclosan, benzophenone-3) and 4 parabens (methyl-paraben, ethyl-paraben, propyl-paraben, butyl-paraben) were measured in 2002-2003 among 1200 women (mean age = 52.6) enrolled in the Study of Women's Health Across the Nation Multi-Pollutant Study. Serum adipokines included adiponectin, high molecular weight (HMW)-adiponectin, leptin, soluble leptin receptor (sOB-R). Linear regression models were used to estimate the adjusted percentage change in adipokines per inter-quantile range (IQR) increase in standardized and log-transformed levels of individual urinary phenols and parabens. Bayesian kernel machine regression (BKMR) was used to evaluate the joint effect of urinary phenols and parabens as mixtures. Participants included white (52.5%), black (19.3%), and Asian (28.1%) women. Urinary 2,4-dichlorophenol was associated with 6.02% (95% CI: 1.20%, 10.83%) higher HMW-adiponectin and urinary bisphenol-F was associated with 2.60% (0.48%, 4.71%) higher sOB-R. Urinary methyl-paraben was associated with lower leptin in all women but this association differed by race: 8.58% (-13.99%, -3.18%) lower leptin in white women but 11.68% (3.52%, 19.84%) higher leptin in black women (P interaction = 0.001). No significant associations were observed in Asian women. Additionally, we observed a significant positive overall effect of urinary phenols and parabens mixtures in relation to leptin levels in black, but not in white or Asian women. Urinary bisphenol-F, 2,4-dichlorophenol and methyl-paraben may be associated with favorable profiles of adipokines, but methyl-paraben, widely used in hair and personal care products, was associated with unfavorable leptin levels in black women. Future studies are needed to confirm this racial difference.

Etiology and outcomes of amputation in patients with peripheral artery disease in the EUCLID trial

OBJECTIVE

Amputation remains a frequent and feared outcome in patients with peripheral artery disease (PAD). Although typically characterized as major or minor on the extent of tissue loss, the etiologies and outcomes after amputation by extent are not well-understood. In addition, emerging data suggest that the drivers and outcomes of amputation in patients with PAD may differ in those with and without diabetes mellitus (DM).

METHODS

The EUCLID trial randomized 13,885 patients with symptomatic PAD, including 5345 with concomitant diabetes, to ticagrelor or clopidogrel and followed them for long-term outcomes. Amputations were prospectively reported by trial investigators. Their primary and contributing drivers were adjudicated using safety data, including infection, ischemia, or multifactorial etiologies. Outcomes following major and minor amputations were analyzed, including recurrent amputation, major adverse limb events, adverse cardiovascular events, and mortality. Multivariable logistic regression models were used to identify independent predictors of minor amputations. Analyses were performed overall and stratified by the presence or absence of DM at baseline.

RESULTS

Of the patients randomized, 398 (2.9%) underwent at least one lower extremity nontraumatic amputation, for a total of 511 amputations (255 major and 256 minor) over a median of 30 months. A history of minor amputation was the strongest independent predictor for a subsequent minor amputation (odds ratio, 7.29; 95% confidence interval, 5.17-10.30; P < .001) followed by comorbid DM (odds ratio, 4.60; 95% confidence interval, 3.16-6.69; P < .001). Compared with patients who had a major amputation, those with a minor amputation had similar rates of subsequent major amputation (12.2% vs 13.6%), major adverse limb events (15.1% vs 14.9%), and major adverse cardiovascular events (17.6% vs 16.3%). Ischemia alone was the primary driver of amputation (51%), followed by infection alone (27%), and multifactorial etiologies (22%); however, infection was the most frequent driver in those with DM (58%) but not in those without DM (15%).

CONCLUSIONS

Outcomes after amputation remain poor regardless of whether they are categorized as major or minor. The pattern of amputation drivers in PAD differs by history of DM, with infection being the dominant etiology in those with DM and ischemia in those without DM. Greater focus is needed on the prognostic importance of minor amputation and of the multifactorial etiologies of amputation in PAD. Nomenclature with anatomical description of amputations and eliminating terms "major" or "minor" would seem appropriate.

Association between Serum Cotinine Levels and Bone Mineral Density: An Analysis of the National Health and Nutrition Examination Survey (NHANES)

PURPOSE

To investigate the relationship between serum cotinine and lumbar bone mineral density (BMD) among 7905 participants aged 30 years and over.

METHOD

A total of 3945 men and 3960 women from the National Health and Nutrition Examination Survey 2011-2018 were included in this cross-sectional analysis. Independent variable was serum cotinine, which is a biomarker of cigarette exposure. The outcome variable was lumbar BMD. We investigated the associations of serum cotinine levels and lumbar BMD using multivariable linear regression models.

RESULTS

Serum cotinine concentration was negatively associated with lumbar BMD after adjustment of relevant covariables (β = -0.039, 95% CI: -0.078 to -0.014, P = 0.005). However, in the subgroup analysis stratified by gender, this negative association remained only in women (β = -0.072, 95% CI: -0.132 to -0.012, P = 0.019).

CONCLUSION

Our study suggested that elevated serum cotinine level correlated with decreased lumbar BMD, especially in women. This finding indicated that reducing cigarette exposure and maintaining serum cotinine at a low level may be beneficial to bone health for adults.

Preoperative Cumulative Smoking Dose on Lung Cancer Surgery in a Japanese Nationwide Database

BACKGROUND

Smoking is a known risk factor for postoperative mortality and morbidity. However, the significance of cumulative smoking dose in preoperative risk assessment has not been established. We examined the influence of preoperative cumulative smoking dose on surgical outcomes after lobectomy for primary lung cancer.

METHODS

A total of 80,989 patients with primary lung cancer undergoing lobectomy from 2014 to 2016 were enrolled. Preoperative cumulative smoking dose was categorized by pack-years (PY): nonsmokers, PY = 0; light smokers, 0 < PY < 10; moderate smokers, 10 ≤ PY < 30; and heavy smokers, 30 ≤ PY. The risk of short-term outcomes was assessed according to PY by multivariable analysis adjusted for other covariates.

RESULTS

Postoperative 30-day mortality, as well as pulmonary, cardiovascular, and infectious complications, increased with preoperative PY. Multivariable analysis revealed that the odds ratios (ORs) for postoperative mortality compared with nonsmokers were 1.76 for light smokers (P = .044), 1.60 for moderate smokers (P = .026), and 1.73 for heavy smokers (P = .003). The ORs for pulmonary complications compared with nonsmokers were 1.20 for light smokers (P = .022), 1.40 for moderate smokers (P < .001), and 1.72 for heavy smokers (P < .001). Heavy smokers had a significantly increased risk of postoperative cardiovascular (OR, 1.26; P = .002) and infectious (OR, 1.39; P = .007) complications compared with nonsmokers.

CONCLUSIONS

The risk of mortality and morbidity after lung resection could be predicted according to preoperative cumulative smoking dose. These findings contribute to the development of strategies in perioperative management of lung resection patients.