Dose-dependent effect of smoking on risk of coronary heart disease, heart failure and stroke in individuals with type 1 diabetes

Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach

People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.

Dose-Dependent association of cumulative tobacco consumption with the presence of carotid atherosclerosis in individuals with type 1 diabetes

AIMS

Evaluate the association between cumulative tobacco consumption (CTC; packs-year) and atherosclerosis in type 1 diabetes (T1D), and study whether the inclusion of CTC in the Steno T1 Risk Engine (ST1RE) equation improves the identification of plaques.

METHODS

Cross-sectional study in T1D patients without cardiovascular disease (CVD), with ≥ 1 of the following: ≥40 years-old, diabetic kidney disease, and/or T1D duration ≥ 10 years + cardiovascular risk factors.Preclinical atherosclerosis was evaluated by carotid ultrasonography.

RESULTS

N = 584 patients were included (46.1 % women, age 48.7 ± 10.5 years, T1D duration 27.3 ± 10.8 years, 26.2 % active smokers). The overall plaque prevalence was 40.9 %. In models adjusted for age, sex, lipids, blood pressure, kidney function, statin use, microvascular complications and HbA1c, CTC was dose-dependently associated with the number of plaques (none, 1-2, ≥3) overall and in both active and former smokers (p < 0.001). This association remained after adjusting for ST1RE (OR 1.11 [1.02-1.19]). Although the inclusion of CTC in the ST1RE did not improve plaque identification overall (p = 0.180), it did so when analyzing active smokers separately (AUC 0.738 vs. 0.768; p < 0.01).

CONCLUSIONS

In T1D patients, CTC is dose-dependently associated with atherosclerosis. Further prospective studies are needed to determine if CTC could identify T1D individuals more prone to accelerated atherosclerosis.

Clustering of risk behaviours and associations between risk behaviours and cardio-metabolic risk factors in adult individuals with type 1 diabetes

AIMS

To assess clustering of risk behaviours and their health determinants.

METHODS

Cross-sectional health behaviour and health data were collected from individuals with type 1 diabetes, in the FinnDiane Study. Clustering of risk behaviours was assessed and associations between behaviours and health variables were investigated.

RESULTS

Data were available from 956 participants (40 % men, mean age 46 years). Altogether, 4.3 % individuals reported no risk behaviours, while 25.7 %, 37.4 %, 24.7 %, 6.8 %, and 1.0 % reported 1, 2, 3, 4, and 5 risk behaviours, respectively. Reporting ≥4 risk behaviours occurred more frequently than expected by chance. Dietary non-adherence was most frequently reported (84.4 %), followed by low LTPA (54.4 %), poor sleep (41.9 %), high alcohol consumption (15.2 %), and smoking (11.2 %). Adjusted for confounders, relative to ≤1 risk behaviour, reporting ≥2 risk behaviours was associated with higher BMI, waist circumference, and diastolic blood pressure. Having ≥3 risk behaviours was associated with larger waist-hip ratio, and higher HbA1c and triglyceride concentration; ≥4 risk behaviours was associated with higher cholesterol concentration. Of the health behaviours, low LTPA had the highest number of deleterious health associations.

CONCLUSIONS

Accumulation of risk behaviors increases negative health outcomes. Exhibiting ≥2 risk behaviours or low LTPA was associated with multiple adverse outcomes.

Association of secondhand smoke with fracture risk in community-dwelling nonsmoking adults in Korea

Although the detrimental effects of active smoking on bone health have been widely recognized, the impact of secondhand smoke exposure on fracture risk in non-smokers remains less understood. A total of 4843 nonsmokers aged 40-69 yr, who participated in the Korean Genome and Epidemiology Study from 2001 to 2018, were analyzed. The participants were categorized into two groups based on their exposure status to secondhand smoke: currently exposed and unexposed. The exposure group was subsequently divided into two subgroups based on the median weekly exposure time (high vs low). The incidence of new fractures was determined using self-reported questionnaires. The identified fractures were categorized according to the fracture site: overall, vertebral, hip, non-vertebral, and non-vertebral non-hip fractures. The mean age of the participants was 52.4 yr (84.1% women). Exposure to secondhand smoke was associated with an increased risk of fracture (adjusted hazard ratio [aHR]: 1.27, P = 0.028) after adjusting for multiple covariates including age, sex, BMI, household income, bone density of mid-shaft tibia, C-reactive protein, alcohol consumption, and fracture history. Secondhand smoke remained as a significant risk factor for fracture, independent of the major osteoporotic fracture probabilities estimated using a fracture risk assessment tool (aHR: 1.24, P = 0.038). The high exposure group had higher risk of fracture than that of the unexposed group (aHR: 1.33, P = 0.025), whereas the fracture risk did not differ significantly between low exposure and unexposed groups (aHR: 1.18, P = 0.253), suggesting a potential dose-response relationship. Secondhand smoke showed robust association with increased risk of non-vertebral (aHR: 1.37, P = 0.008) or non-vertebral non-hip fractures (aHR: 1.36, P = 0.013), while its association with vertebral fracture was attenuated (aHR: 1.03, P = 0.908). Secondhand smoke was associated with an elevated risk of fracture in nonsmokers, independent of clinical risk factors.

Determinants of initiation, continuation and cessation of smokeless tobacco use among pregnant and lactating women: a qualitative study from low-income communities in urban India

Smokeless tobacco (SLT) consumption increases the risk of cardiovascular diseases and cancer and leads to adverse reproductive health outcomes among women and newborns. This study examines the factors associated with initiation, continuation and cessation of SLT use among women in the reproductive age so as to formulate and include prevention and cessation interventions from its inception. The study was conducted in urban low-income communities in India. Using snowball and purposive sampling techniques, in-depth interviews were conducted with 20 pregnant and 22 lactating women who currently used SLT products. Data were analysed using thematic analysis with the help of QSR NVivo software. Findings revealed that factors such as people influencing usage change with different life stages including pre-marital and post-marital periods. Perceived health benefits, altered taste preferences during pregnancy and social influences were also studied. Women were found to be more aware of the harmful effects of tobacco during pregnancy than during breastfeeding. Social stigma around women consuming tobacco acted as a major driving factor for cessation. Most of the participants were willing to quit but were not aware of any technique or programme for cessation. The findings of the study highlight the need to develop behavioural change intervention tools, which are culturally and locally appropriate and have a gender-sensitive approach. Different socio-cultural factors associated with initiation/cessation at different life stages should also be taken into consideration while developing these tools.

Smoking and diabetes: sex and gender aspects and their impact on vascular diseases

Smoking and diabetes mellitus (DM) have been identified as two major cardiovascular risk factors for many years. In the field of cardiovascular diseases, considering sex differences, or gender differences, or both has become an essential element in moving toward equitable and quality healthcare. We reviewed the impact of sex or gender on the link between smoking and DM. The risk of type 2 DM (T2DM) due to smoking has been established in both sexes at the same level. As is the case in the general population, the prevalence of smoking in those with DM is higher in men than in women, although the decrease in smoking observed in recent years is more pronounced in men than in women. Regarding chronic DM complications, smoking is an independent risk factor for all-cause mortality, as well as macrovascular and microvascular complications, in both sexes. Nevertheless, in T2DM, the burden of smoking appears to be greater in women than in men for coronary heart disease morbidity, women having a 50% higher risk of fatal coronary event. Women are more dependent to nicotine, cumulate psychosocial barriers to quitting smoking, and are more likely to gain weight, which might make it more difficult for them to quit smoking. Smoking cessation advice and treatments should take into account gender differences to improve the success and long-term maintenance of abstinence in people with and without DM. This might include interventions that address emotions and stress in women or designed to reach specific populations of men.

Carotid ultrasonography as a strategy to optimize cardiovascular risk management in type 1 diabetes: a cohort study

BACKGROUND AND AIMS

Although cardiovascular disease (CVD) remains the leading cause of mortality in type 1 diabetes (T1D), the use of cardioprotective drugs is scarce. We aimed to evaluate the impact of carotid ultrasonography (US) on the improvement in cardiovascular risk factors (CVRFs) in T1D.

METHODS AND RESULTS

T1D patients without CVD meeting criteria for lipid treatment according to guidelines (age ≥ 40 years, nephropathy and/or ≥ 10 years of diabetes duration with ≥ 1 additional CVRFs) were included. The carotid-US group (US-G) underwent a standardized US protocol and CVRF assessment; recommendations were made according to subclinical atherosclerosis status. The control group (CG) followed usual clinical practice. Changes in CVRFs, specially statin use and LDL cholesterol levels, at 1 year were analysed. A total of 318 patients were included (51.3% female, mean age of 49.1 years and 25.5 years of diabetes duration): 211 in the US-G and 107 in the CG. Participants in the US-G had a higher baseline LDL cholesterol than controls (114 vs. 102 mg/dL; p < 0.001). Lipid-lowering treatment was modified in 38.9% in the US-G and 6.5% in the CG (p < 0.001). At 1 year, the US-G was more frequently on statins, had lower LDL cholesterol and 27% had stopped smoking (p < 0.001 for all). Changes were more pronounced in those with plaques (p < 0.001). In multivariate analyses adjusted for age, sex and other CVRFs, belonging to the US-G was independently associated with the intensification of lipid-lowering treatment (OR 10.47 [4.06-27.01]). Propensity score-matching analysis yielded similar results (OR 20.09 [7.86-51.37]).

CONCLUSION

Carotid-US is independently associated with an intensification of lipid-lowering therapy in a high-risk T1D population.

Smoking and diabetes interplay: A comprehensive review and joint statement

Evidence shows that smoking increases the risk of pre-diabetes and diabetes in the general population. Among persons with diabetes, smoking has been found to increase the risk of all-cause mortality and aggravate chronic diabetic complications and glycemic control. The current paper, which is a joint position statement by the French-Speaking Society on Tobacco (Société Francophone de Tabacologie) and the French-Speaking Society of Diabetes (Société Francophone du Diabète), summarizes the data available on the association between smoking and diabetes and on the impact of smoking and smoking cessation among individuals with type 1, type 2, and gestational diabetes mellitus. It also provides evidence-based information about the pharmacological and behavioral strategies for smoking cessation in these patients.

Smoking and alcohol consumption influence the risk of cardiovascular diseases in Korean adults with elevated blood pressure

BACKGROUND AND AIMS

Cardiovascular disease (CVD) and hypertension are the main causes of global death. We aimed to investigate the independent and combined effects of smoking and alcohol consumption on CVD risk among Koreans with elevated blood pressure (BP).

METHODS AND RESULTS

Adults aged 20-65 years with elevated BP and without pre-existing CVDs were selected from the National Health Insurance Service-National Sample Cohort version 2.0. We followed up 59,391 men and 35,253 women between 2009 and 2015. The association of CVD incidence with smoking pack-years and alcohol consumption was investigated using the multivariate Cox proportional hazard model. Among women, smokers (10.1-20.0 pack-years) and alcohol drinkers (≥30.0 g/day) had higher CVD risks (hazard ratio [HR] = 1.15, 95% confidence intervals [CI] 1.06-1.25, HR = 1.06, 95% CI 1.00-1.12, respectively) compared to each referent group. However, men who smoked exhibited an increased CVD risk only with pack-years >20.0 (HR = 1.09, 1.03-1.14 and HR = 1.18, 1.11-1.26 for smokers with 20.1-30.0 and ≥ 30.1 pack-years, respectively) compared to nonsmokers. In the combined groups of those smoking and consuming alcohol, only nonsmoking men consuming alcohol 1.0-29.9 g/day had a lower CVD risk than did nonsmoking, nondrinking men (HR = 0.90, 0.83-0.97). Women smoking 1.0-10.0 pack-years and consuming alcohol ≥30.0 g/day had a higher CVD risk (HR = 1.25, 1.11-1.41) than nonsmoking and nondrinking women.

CONCLUSION

Smoking and alcohol consumption, independently and jointly, were associated with CVD risk in men and women. Women had a greater CVD risk than did men among Korean adults with elevated BP.

Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study

AIMS

The aim of this prospective study was to examine CVD risk reduction in type 1 diabetes (1) for people with favourable cardiovascular health metrics and (2) by clustering of these metrics.

METHODS

Data from 2313 participants from the EURODIAB Prospective Complications Study were analysed. All had type 1 diabetes (51% men, mean ± SD age 32 ± 9 years). Seven cardiovascular health metrics were studied-smoking, BMI, physical activity, a diet score, total cholesterol/HDL-cholesterol ratio, combined systolic and diastolic BP and HbA_1c-divided into favourable/less favourable categories. Cox proportional hazards models were used to calculate HRs (95% CIs) of incident CVD for each metric. Clusters were made by scoring each individual by the number of favourable metrics.

RESULTS

A total of 163 people developed incident CVD during a mean ± SD follow-up of 7.2 ± 1.3 years. Participants with more favourable HbA_1c levels of <57 mmol/mol (<7.4%) had a 37% significantly lower CVD risk than those with a less favourable HbA_1c (HR [95% CI] 0.63 [0.44, 0.91]), and participants with a more favourable BP (systolic BP <112 mmHg and diastolic BP <70 mmHg) had a 44% significantly lower CVD risk than participants in the less favourable BP group (HR [95% CI] 0.56 [0.34, 0.92]). There was a dose-response relation with a lower HR observed with greater clustering of more favourable metrics: people with four or more favourable metrics had an HR of 0.37 (95% CI 0.18, 0.76), adjusted for sex and age at diabetes diagnosis, compared with those with no favourable metrics.

CONCLUSIONS/INTERPRETATION

Low HbA_1c and low BP were protective cardiovascular health metrics in our study of people with type 1 diabetes. Targeting all cardiovascular health metrics could be more effective in preventing CVD than targeting single metrics.

Does weight mediate the effect of smoking on coronary heart disease? Parametric mediational g-formula analysis

Background

In settings in which there are time-varying confounders affected by previous exposure and a time-varying mediator, natural direct and indirect effects cannot generally be estimated unbiasedly. In the present study, we estimate interventional direct effect and interventional indirect effect of cigarette smoking as a time-varying exposure on coronary heart disease while considering body weight as a time-varying mediator.

Methods

To address this problem, the parametric mediational g-formula was proposed to estimate interventional direct effect and interventional indirect effect. We used data from the Multi-Ethnic Study of Atherosclerosis to estimate effect of cigarette smoking on coronary heart disease, considering body weight as time-varying mediator.

Results

Over a 11-years period, smoking 20 cigarettes per day compared to no smoking directly (not through weight) increased risk of coronary heart disease by an absolute difference of 1.91% (95% CI: 0.49%, 4.14%), and indirectly decreased coronary heart disease risk by -0.02% (95% CI: -0.05%, 0.04%) via change in weight. The total effect was estimated as an absolute 1.89% increase (95% CI: 0.49%, 4.13%).

Conclusion

The overall absolute impact of smoking to incident coronary heart disease is modest, and we did not discern any important contribution to this effect relayed through changes to bodyweight. In fact, changes in weight because of smoking have no meaningful mediating effect on CHD risk.

Diabetes, Vascular Aging and Stroke: Old Dogs, New Tricks?

BACKGROUND

Stroke remains a leading cause of death and disability throughout the world. It is well established that Diabetes Mellitus (DM) is a risk factor for stroke, while other risk factors include dyslipidaemia and hypertension. Given that the global prevalence of diabetes steadily increases, the need for adequate glycaemic control and prevention of DM-related cardiovascular events remains a challenge for the medical community. Therefore, a re-examination of the latest data related to this issue is of particular importance.

OBJECTIVE

This review aims to summarise the latest data on the relationship between DM and stroke, including epidemiology, risk factors, pathogenesis, prevention and biomarkers.

METHODS

For this purpose, comprehensive research was performed on the platforms PubMed, Google Scholar and EMBASE with a combination of the following keywords: diabetes mellitus, stroke, macrovascular complications, diabetic stroke, cardiovascular disease.

CONCLUSIONS

Much progress has been made in stroke in people with DM in terms of prevention and early diagnosis. In the field of prevention, the adaptation of the daily habits and the regulation of co-morbidity of individuals play a particularly important role. Simultaneously, the most significant revolution has been brought by the relatively new treatment options that offer protection to the cardiovascular system. Moreover, many prognostic and diagnostic biomarkers have been identified, paving the way for early and accurate diagnoses. However, to date, there are crucial points that remain controversial and need further clarification.

The impact of central obesity on the risk of hospitalization or death due to heart failure in type 1 diabetes: a 16-year cohort study

BACKGROUND

Obesity and type 2 diabetes are well-known risk factors for heart failure (HF). Although obesity has increased in type 1 diabetes, studies regarding HF in this population are scarce. Therefore, we investigated the impact of body fat distribution on the risk of HF hospitalization or death in adults with type 1 diabetes at different stages of diabetic nephropathy (DN).

METHODS

From 5401 adults with type 1 diabetes in the Finnish Diabetic Nephropathy Study, 4668 were included in this analysis. The outcome was HF hospitalization or death identified from the Finnish Care Register for Health Care or the Causes of Death Register until the end of 2017. DN was based on urinary albumin excretion rate. A body mass index (BMI)  ≥  30 kg/m² defined general obesity, whilst WHtR  ≥  0.5 central obesity. Multivariable Cox regression was used to explore the associations between central obesity, general obesity and the outcome. Then, subgroup analyses were performed by DN stages. Z statistic was used for ranking the association.

RESULTS

During a median follow-up of 16.4 (IQR 12.4-18.5) years, 323 incident cases occurred. From 308 hospitalizations due to HF, 35 resulted in death. Further 15 deaths occurred without previous hospitalization. The WHtR showed a stronger association with the outcome [HR  1.51, 95% CI (1.26-1.81), z  =  4.40] than BMI [HR 1.05, 95% CI (1.01-1.08), z = 2.71]. HbA_1c [HR 1.35, 95% CI (1.24-1.46), z = 7.19] was the most relevant modifiable risk factor for the outcome whereas WHtR was the third. Individuals with microalbuminuria but no central obesity had a similar risk of the outcome as those with normoalbuminuria. General obesity was associated with the outcome only at the macroalbuminuria stage.

CONCLUSIONS

Central obesity associates with an increased risk of heart failure hospitalization or death in adults with type 1 diabetes, and WHtR may be a clinically useful screening tool.

Quantification of glycoproteins by nuclear magnetic resonance associated with preclinical carotid atherosclerosis in patients with type 1 diabetes

BACKGROUND AND AIMS

Glycoproteins play a key role in inflammatory and cardiometabolic processes. Their implication in atherosclerosis in type 1 diabetes (T1D) is unknown. We assessed the relationships between classic inflammatory markers, glycoproteins measured by nuclear magnetic resonance (¹H-NMR), and preclinical atherosclerosis in these patients.

METHODS AND RESULTS

We selected patients with T1D, without cardiovascular disease (CVD), with: age ≥40 years, nephropathy (micro/macroalbuminuria), or ≥10 years of evolution with another risk factor. The presence of plaque (intima-media thickness >1.5 mm) was determined by ultrasonography. Concentrations of high-sensitive C-reactive protein (hsCRP), circulating leukocytes (classical inflammation markers) and ¹H-NMR-glycoproteins (GlycA, GlycB, GlycF, and the height/width [H/W] ratios of GlycA and GlycB) were determined. We included 189 patients (58% male, age 47.0 [40.7-55.2] years). Thirty-five percent presented plaques (22%, ≥2 plaques). There was no association between hsCRP or leukocytes and atherosclerosis. However, in age- and sex-adjusted models, GlycA, GlycF, and the H/W ratios of GlycA and GlycB gradually increased with the number of plaques (0, 1, ≥2 plaques) only in patients without statins (p < 0.05), with no association in patients receiving this drug (p for interaction <0.05; in ≥2 plaques). Finally, in models adjusted for other classical and T1D-specific risk factors, GlycA and GlycB H/W ratios remained associated with carotid plaque (OR 1.39 [1.12-1.90] and OR 6.89 [1.85-25.62], respectively).

CONCLUSION

In T1D individuals without lipid-lowering treatment, ¹H-NMR-glycoproteins were independently associated with the presence and amount of carotid atherosclerosis, unlike other classical inflammatory markers. Further studies are needed to ascertain their utility as CVD biomarkers.

Changes of serum advanced glycation end products (AGEs), matrix metalloprotein-2 (MMP-2), and urinary microalbuminuria (mALB) in diabetic nephropathy and their predictive value for heart failure

Background

Diabetic nephropathy is a common complication in diabetic patients, with a high rate of disability and mortality. This study aims to explore the changes in serum advanced glycation end products (AGEs), matrix metalloprotein-2 (MMP-2), and urinary microalbuminuria (mALB) in diabetic nephropathy and their predictive value for heart failure.

Methods

The 134 patients with diabetic nephropathy treated in our hospital from January 2014 to December 2017 were enrolled and divided into two groups resulting in 64 cases in an observation group with heart failure, and 70 cases without heart failure in a control group. In addition, 80 patients with simple diabetes who were treated during the same period were selected as the simple diabetes group. Levels of AGEs, MMP-2, and mALB between the groups were compared, risk factors affecting diabetic nephropathy patients with heart failure were analyzed, and an ROC curve was drawn to evaluate the predictive value of AGEs, MMP-2, and mALB for heart failure

Results

The levels of AGEs and mALB in the diabetic nephropathy group were significantly higher than those in the simple diabetes group, and the levels of MMP-2 were significantly lower than those in the simple diabetes group (P<0.05). The levels of AGEs and mALB in the observation group were significantly higher than those in the control group, and the levels of MMP-2 were significantly lower than that in the control group (P<0.05). Smoking history hypertension history, blood creatinine (abnormal increase), blood uric acid (abnormal increase), AGEs (abnormal increase), MMP-2 (abnormal decrease), and mALB (abnormal increase) were independent risk factors affecting diabetic nephropathy patients with heart failure. The area under the ROC curve of AGEs, MMP-2, mALB, and their combined detection were: 0.821, 0.909, 0.897, and 0.991, respectively, showing the area under the curve of combined detection to be the largest.

Conclusions

AGEs, MMP-2, and mALB have high predictive value for heart failure in patients with diabetic nephropathy. Their sensitivity and specificity are high, indicating they may hold considerable clinical value.

Models to Assess the Association of a Semiquantitative Exposure With Outcomes

A semiquantitative risk factor has 2 components: any exposure (yes/no) and the quantitative amount of exposure (if exposed). We describe the statistical properties of alternative analyses with such a risk factor using linear, logistic, or Cox proportional hazards models. Often analyses employ the amount exposed as a single quantitative covariate, including the nonexposed with value zero. However, this analysis provides a biased estimate of the exposure coefficient (slope) and we describe the magnitude of the bias. This bias can be eliminated by adding a binary covariate for exposed versus not to the model. This 2-factor analysis captures the full risk-factor effect on the outcome. However, the coefficient for any exposure versus not does not have a meaningful interpretation. Alternatively, when exposure values among those exposed are centered (by subtracting the mean), the estimate of this coefficient represents the difference in the outcome between those exposed versus not in aggregate. We also show that the biased model provides biased estimates of the coefficients for other covariates added to the model. Proper analysis of a semiquantitative risk factor should start with a 2-factor model, with centering, to assess the joint contributions of the 2 components of the risk-factor exposure. Properties of models were illustrated using data from a multisite study in North America (1983-2019).

Steno type 1 risk engine and preclinical atherosclerosis in Mediterranean individuals with type 1 diabetes

BACKGROUND AND AIMS

Tools to detect type 1 diabetes (T1D) individuals at overt cardiovascular disease (CVD) risk are scarce. We aimed to assess the usefulness of the score 'Steno Type 1 Risk Engine' (Steno-Risk) to identify T1D patients with advanced carotid atherosclerosis.

MATERIAL AND METHODS

T1D patients without CVD with at least one of the following were included: ≥40 years, diabetic nephropathy, or diabetes duration ≥10 years with ≥1 CVD risk factor. Intima-media thickness (IMT) and plaque presence (IMT ≥1.5 mm) were assessed by standardized B-mode ultrasonography. Steno-Risk was used to estimate 10-year risk (<10% low; 10%-20% moderate; ≥20% high risk). Associations between Steno-Risk and preclinical atherosclerosis were assessed after adjusting for other CVD risk factors.

RESULTS

We evaluated 302 patients (55% men, age 47.8 ± 9.8 years, T1D duration 26.3 ± 9.3 years). The prevalence of carotid plaque and ≥2 plaques were 36.4% and 19.2%, respectively; without sex differences. Age (57.4 ± 7.4 vs 37.1 ± 6.2 years), T1D duration (31.3 ± 10.4 vs 21.5 ± 7.1 years), hypertension (52.3% vs 6.3%), nephropathy (25.6% vs 5.1%) and retinopathy (53.5% vs 32.9%) were higher in high-risk (n = 86) vs low-risk participants (n = 79; P < .001 for all). Preclinical atherosclerosis (IMT and plaque) increased in parallel with Steno-Risk (P < .001). In logistic regression analysis, both age ≥40 years and Steno-Risk ≥20% were associated with the presence of plaque (OR 4.22 [1.57-11.36] and 3.79 [1.61-6.80]; respectively), but only high Steno-Risk remained independently associated with ≥2 plaques (OR 3.31 [1.61-6.80]).

CONCLUSION

Steno-Risk is independently associated with preclinical atherosclerosis. Further studies are needed to ascertain its usefulness in this high-risk population.

Effects of smoking behaviour changes on depression in older people: a retrospective study

OBJECTIVE

This study aimed to identify the effects of changes in smoking behaviour on the presence of depression in participants aged 65 years and over.

METHODS

Data from the 1st to 6th Korean Longitudinal Study of Aging were used in this study. The participants comprised 374 older adults aged 65 years and over, who had smoked in the past. Logistic regression analysis was conducted to identify the effects of smoking behaviour change on the presence of depression.

RESULTS

Changes in smoking behaviour were categorised into three groups: (1) dramatically reduced (66.8%), (2) slightly reduced (19.8%), and (3) increased (13.4%). Those participants who showed significantly reduced smoking were more likely to have depression than those who increased smoking.

CONCLUSION

It is necessary to develop practical protocols and educational programs aimed at preventing and managing depression in older adults aged 65 years and above.

Passive Smoking and Disease Severity in Childhood Pneumonia Under 5 Years of Age

OBJECTIVE

To objectively investigate the effect of passive smoking on pneumonia and disease severity in children aged less than 5 years by using cotinine as an indicator of passive smoking.

METHODS

Between December 2015 and April 2016, children aged less than 5 years with pneumonia and age-matched healthy controls were included in this study, which was conducted at three tertiary pediatric pulmonology centers. A questionnaire was given to the parents regarding demographic data and smoking status at home. Urinary cotinine/creatinine ratio (CCR) was measured. The data from the pneumonia and control groups, as well as children with mild and severe pneumonia within the pneumonia group, were compared.

RESULTS

A total of 227 subjects were included in the study; there were 74 children in the pneumonia group and 153 in the control group. The mean age of all the children was 33.4 ± 1.28 months. Of all subjects, 140 were male and 102 were exposed to passive smoking by their parents at home. There were statistically significant differences in age, number of people in the home, and mother's and father's age between the control and pneumonia groups (p < 0.05). No difference was found in the CCR in the control and pneumonia group (p > 0.05). Age and urinary CCR were significantly different between children with mild and severe pneumonia (p < 0.05).

CONCLUSION

We showed that passive smoking exposure was associated with the development of severe pneumonia in children. Further studies are needed to examine the underlying cause in detail.

Effects of passive smoking and its duration on the prevalence of prediabetes and type 2 diabetes mellitus in Chinese women

Several studies have shown that active smoking is a risk factor for type 2 diabetes mellitus (T2DM). However, the effects of passive smoking on T2DM remains unknown. In this study, we investigated the effects of passive smoking and its duration on the prevalence of prediabetes and T2DM. According to passive smoking status, participants were divided into Group A (passive smokers) and Group B (controls). Furthermore, Group A was divided into three subgroups according to the duration of passive smoking: Group A1 (≤10 years), Group A2 (10–20 years), and Group A3 (>20 years). We found that the prevalence of impaired glucose tolerance (IGT) in Group A (26.6%), Group A2 (28%), and Group A3 (37.8%) was significantly higher than that in Group B (19.6%), and the prevalence gradually increased with an increase in the duration of passive smoking. Multiple logistic regression analysis showed that passive smoking for >10 years was a risk factor for impaired fasting glucose (IFG), IGT, and T2DM. Therefore, passive smoking not only increases the prevalence of IGT in a time-dependent manner, but also a risk factor for IFG, IGT, and T2DM when its duration is over 10 years.

Risk factors differ by first manifestation of cardiovascular disease in type 1 diabetes

AIMS

We compared risk factors for three CVD manifestations and a composite outcome over 25 years' follow-up in the Pittsburgh Epidemiology of Diabetes Complications (EDC) prospective cohort study of childhood-onset (<17 years) type 1 diabetes (n = 658).

METHODS

First CVD manifestations examined were: (1) major atherosclerotic cardiovascular event (MACE, i.e. CVD death, myocardial infarction, stroke), (2) coronary revascularization, (3) soft coronary artery disease (CAD, i.e. ischemia ECG, angina), and a (4) composite (MACE + revascularization) outcome. Baseline and time-varying mean and current risk factors, including medication use, were assessed, in diabetes duration-adjusted models.

RESULTS

MACE (n = 107) was predicted by ln(albumin excretion rate) (AER, HR = 1.3, p < 0.0001), systolic BP (SBP, HR = 1.03, p < 0.0001), white blood cell count (WBC, HR = 1.2, p < 0.0001), HbA1c (HR = 1.2p = 0.03), LDLc (HR = 1.01, p = 0.03). Soft CAD (n = 91) was predicted by ln(AER) (HR = 1.2, p = 0.004), SBP (HR = 1.03, p = 0.0002), WBC (HR = 1.2, p = 0.0003), HbA1c (HR = 1.2, p = 0.005). Revascularization (n = 38) was predicted by LDLc (HR = 1.03, p < 0.0001), eGFR (HR = 0.98, p = 0.002), HbA1c (HR = 1.3, p = 0.03). Adding revascularization to MACE enhanced the role of LDLc, while diminishing that of HbA1c, compared to MACE alone.

CONCLUSIONS

Important risk factor associations may be affected by examining composite CVD outcomes. More research is needed to determine how to best incorporate revascularization into composite CVD definitions.

Association between persistent smoking after a diagnosis of heart failure and adverse health outcomes: A systematic review and meta-analysis

INTRODUCTION

Heart failure (HF) is associated with increased mortality worldwide. Adverse health outcomes in HF are commonly attributed to poor adherence to self-care, including smoking cessation. Smoking is the major modifiable risk factor for HF. Patients have been observed to continue smoking even after diagnosis with HF. Despite the possible association between persistent smoking and adverse health outcomes among HF populations, no consensus has been reached. We aimed to review the literature to determine the association between smoking status after HF diagnosis and adverse health outcomes.

METHODS

A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and Embase. Hand searching was also performed. In total, 9 articles (n=70461) were included in the review for meta-analysis, including seven cohort studies and two cross-sectional studies. Quality was assessed using the modified version of the Newcastle-Ottawa Scale.

RESULTS

Approximately 16% of HF patients continued smoking after HF diagnosis. Persistent smoking increased the hazard ratio (HR) of mortality by 38.4% (HR=1.384; 95% CI: 1.139-1.681) and readmission by 44.8% (HR=1.448; 95% CI: 1.086-1.930). Our review also found that persistent smoking was associated with poor health status, ventricular tachycardia, and arterial stiffness.

CONCLUSIONS

This review highlights the importance of assessment for any history of smoking before and after HF diagnosis. There is a need for smoking cessation programs to be established as crucial components of care for patients with HF. More studies are needed to investigate the possible mechanisms underlying relations among smoking patterns and health consequences.

Microvascular complications burden (nephropathy, retinopathy and peripheral polyneuropathy) affects risk of major vascular events and all-cause mortality in type 1 diabetes: a 10-year follow-up study

BACKGROUND

Microvascular complications (MC) have been claimed to increase the risk for cardiovascular disease in diabetic subjects. However, the effect of MC burden on the risk of major vascular outcomes and all-cause mortality in type 1 diabetes is still poorly explored. We evaluated the relationship between microvascular complications burden and incidence of major cardiovascular events and all-cause mortality in subjects with type 1 diabetes.

METHODS

We recruited 774 participants with type 1 diabetes in a single-center observational study over a follow-up of 10.8 ± 2.5 years. Hazard ratios (HR) for cardiovascular outcomes and all-cause death associated with microvascular complications were determined by unadjusted and adjusted Cox regression analysis.

RESULTS

Out of 774 individuals, 54.9% had no-MC, 32.3% 1 MC, 9.7% 2 MC and 3.1% 3 MC. A total of 54 deaths (7.0%) occurred. Death rate increased from no-MC 2.1% (Ref) to 1 MC 7.2% (HR 3.54 [95% CI 1.59-7.87]), 2 MC 14.7% (HR 6.41 [95% CI 2.65-15.49]) and 3 MC 66.7% (HR 41.73 [95% CI 18.42-94.57], p < 0.0001). After adjustments, HRs were: 1 MC 2.05 (95% CI 0.88-4.76), 2 MC 1.98 (95% CI 0.75-5.21), 3 MC 7.02 (95% CI 2.44-20.20, p = 0.002). Forty-nine subjects (6.7%) had at least one cardiovascular event, and cumulative incidence went from no-MC 2.2% (Ref) to 1 MC 5.0%; (HR 2.27 [95% CI 0.96-5.38]), 2 MC 26.8% (HR 12.88 [95% CI 5.82-28.50]) and 3 MC 40.9% (HR 29.34 [95% CI 11.59-74.25], p < 0.0001). Upon adjustments, HRs were: 1 MC 1.59 (95% CI 0.65-3.88), 2 MC 4.33 (95% CI 1.75-10.74), 3 MC 9.31 (95% CI 3.18-27.25, p < 0.0001). Thirty-five individuals (4.8%) had at least one coronary event, which cumulative incidence increased with MC burden (p < 0.0001).

CONCLUSIONS

In type 1 diabetes, microvascular complications burden increases in an independent dose-dependent manner the risk of major cardiovascular outcomes and all-cause mortality. The presence and number of microvascular complications should be considered in stratifying overall cardiovascular risk in type 1 diabetes.

Influence of Smoking Status on Risk of Incident Heart Failure: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

Smoking is a well-known risk factor for atherosclerotic cardiovascular disease. However, there are insufficient data regarding the predictive influence of smoking status on the risk of incident heart failure (HF). This study involved a systematic review and meta-analysis of prospective cohort studies to identify the association of smoking status with incident risk of HF. Peer-reviewed articles published in PubMed, Embase, Web of Science, Cochrane, and CINAHL up to May 2019 were identified. Seven studies, based on 42,759 participants and 4826 HF cases, were included. Pooled hazard ratios (HRs) and their 95% confidence intervals (CI) were estimated using the fixed effects model. Subgroup analyses were conducted to define possible sources of heterogeneity. Current smokers aged 18 years and over had a greater risk of HF incidence compared with non-smokers (never or former smokers) (HR = 1.609, 95% CI, 1.470–1.761). Additionally, former smokers had a greater risk of HF incidence compared with never smokers (HR = 1.209, 95% CI, 1.084–1.348). The present study highlighted that never smokers have more obvious cardiovascular benefits than current or former smokers. Therefore, health professionals should support cessation at the earliest among current smokers and encourage young people and non-smokers not to start smoking.

Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men

BACKGROUND

The prevalence of diabetes and potentially related complications, including stroke, is rapidly increasing in China. The long-term effects of lifestyle may affect glucose metabolism in the general population. Although some studies have shown an association between smoking and the risk of type 2 diabetes mellitus (T2DM), the relationship remains unclear. Furthermore, the relationship between smoking and stroke in patients with T2DM has not been fully elucidated.

OBJECTIVE

We investigated the influence of cigarette smoking on T2DM and stroke in China. Detailed questionnaires about smoking status and anthropometric measurement were completed by participants, and oral glucose tolerance testing (OGTT), hemoglobin A1c (HbA1c), homeostasis model assessment of IR (HOMA-IR), and blood lipids were measured.

RESULTS

In total, 8196 adults aged 40 years or older were included. We found a reduced risk of impaired glucose regulation (IGR) and T2DM in male smokers with normal weight (body mass index (BMI) < 25 kg/m² or waist circumference (WC) < 90 cm) compared with nonsmokers after adjusting for age, alcohol intake, physical activity, educational level, family history of diabetes, SBP, DBP, TG, TC, HDL-C, and LDL-C. However, no significant association was detected in male current smokers with overweight/obesity or female smokers. In addition, compared with nonsmokers without T2DM, current smokers with T2DM had a significantly higher risk of stroke (odds ratio: 2.64, 95% confidence interval: 1.25-5.57; P = 0.011) after adjusting for confounders.

CONCLUSIONS

Smoking was negatively associated with T2DM in Chinese men of normal body weight, but no significant association was found for men with overweight/obesity or women. In addition, smoking was positively associated with nonfatal stroke, especially in patients with T2DM. Further prospective studies are needed to examine the association between smoking, diabetes, and stroke in different ethnic groups.