Cardiovascular Disease Incidence and Risk Factor Patterns among Omanis with Type 2 Diabetes: A Retrospective Cohort Study

Epidemiology and Burden of Peripheral Artery Disease in People With Type 2 Diabetes: A Systematic Literature Review

Type 2 diabetes (T2D) and lower-extremity peripheral artery disease (PAD) are growing global health problems associated with considerable cardiovascular (CV) and limb-related morbidity and mortality, poor quality of life and high healthcare resource use and costs. Diabetes is a well-known risk factor for PAD, and the occurrence of PAD in people with T2D further increases the risk of long-term complications. As the available evidence is primarily focused on the overall PAD population, we undertook a systematic review to describe the burden of comorbid PAD in people with T2D. The MEDLINE, Embase and Cochrane Library databases were searched for studies including people with T2D and comorbid PAD published from 2012 to November 2021, with no restriction on PAD definition, study design or country. Hand searching of conference proceedings, reference lists of included publications and relevant identified reviews and global burden of disease reports complemented the searches. We identified 86 eligible studies, mostly observational and conducted in Asia and Europe, presenting data on the epidemiology (n = 62) and on the clinical (n = 29), humanistic (n = 12) and economic burden (n = 12) of PAD in people with T2D. The most common definition of PAD relied on ankle-brachial index values ≤ 0.9 (alone or with other parameters). Incidence and prevalence varied substantially across studies; nonetheless, four large multinational randomised controlled trials found that 12.5%-22% of people with T2D had comorbid PAD. The presence of PAD in people with T2D was a major cause of lower-limb and CV complications and of all-cause and CV mortality. Overall, PAD was associated with poor quality of life, and with substantial healthcare resource use and costs. To our knowledge, this systematic review provides the most comprehensive overview of the evidence on the burden of PAD in people with T2D to date. In this population, there is an urgent unmet need for disease-modifying agents to improve outcomes.

Identifying Cardiovascular Disease Risk Factors in Adults with Explainable Artificial Intelligence

BACKGROUND

The aim of this study was to evaluate the relationship between risk factors causing cardiovascular diseases and their importance with explainable machine learning models.

METHODS

In this retrospective study, multiple databases were searched, and data on 11 risk factors of 70 000 patients were obtained. Data included risk factors highly associated with cardiovascular disease and having/not having any cardiovascular disease. The explainable prediction model was constructed using 7 machine learning algorithms: Random Forest Classifier, Extreme Gradient Boost Classifier, Decision Tree Classifier, KNeighbors Classifier, Support Vector Machine Classifier, and GaussianNB. Receiver operating characteristic curve, Brier scores, and mean accuracy were used to assess the model's performance. The interpretability of the predicted results was examined using Shapley additive description values.

RESULTS

The accuracy, area under the curve values, and Brier scores of the Extreme Gradient Boost model (the best prediction model for cardiovascular disease risk factors) were calculated as 0.739, 0.803, and 0.260, respectively. The most important risk factors in the permutation feature importance method and explainable artificial intelligence-Shapley's explanations method are systolic blood pressure (ap_hi) [0.1335 ± 0.0045 w (weight)], cholesterol (0.0341 ± 0.0022 w), and age (0.0211 ± 0.0036 w).

CONCLUSION

The created explainable machine learning model has become a successful clinical model that can predict cardiovascular patients and explain the impact of risk factors. Especially in the clinical setting, this model, which has an accurate, explainable, and transparent algorithm, will help encourage early diagnosis of patients with cardiovascular diseases, risk factors, and possible treatment options.

Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease

Background

Cardiovascular disease (CVD) is the combination of coronary heart disease, myocardial infarction, rheumatic heart disease, and peripheral vascular disease of the heart and blood vessels. It is one of the leading deadly diseases that causes one-third of the deaths yearly in the globe. Additionally, the risk factors associated with it make the situation more complex for cardiovascular patients, which lead them towards mortality, but the genetic association between CVD and its risk factors is not clearly explored in the global literature. We addressed this issue and explored the linkage between CVD and its risk factors.

Methods

We developed an analytical approach to reveal the risk factors and their linkages with CVD. We used GEO microarray datasets for the CVD and other risk factors in this study. We performed several analyses including gene expression analysis, diseasome analysis, protein-protein interaction (PPI) analysis, and pathway analysis for discovering the relationship between CVD and its risk factors. We also examined the validation of our study using gold benchmark databases OMIM, dbGAP, and DisGeNET.

Results

We observed that the number of 32, 17, 53, 70, and 89 differentially expressed genes (DEGs) is overlapped between CVD and its risk factors of hypertension (HTN), type 2 diabetes (T2D), hypercholesterolemia (HCL), obesity, and aging, respectively. We identified 10 major hub proteins (FPR2, TNF, CXCL8, CXCL1, IL1B, VEGFA, CYBB, PTGS2, ITGAX, and CCR5), 12 significant functional pathways, and 11 gene ontological pathways that are associated with CVD. We also found the connection of CVD with its risk factors in the gold benchmark databases. Our experimental outcomes indicate a strong association of CVD with its risk factors of HTN, T2D, HCL, obesity, and aging.

Conclusions

Our computational approach explored the genetic association of CVD with its risk factors by identifying the significant DEGs, hub proteins, and signaling and ontological pathways. The outcomes of this study may be further used in the lab-based analysis for developing the effective treatment strategies of CVD.

Population awareness of cardiovascular disease risk factors and health care seeking behavior in the UAE

OBJECTIVES

We aimed to determine the awareness, knowledge, and attitude of people residing in Dubai, United Arab Emirates, regarding cardiovascular disease (CVD) risk factors. Our aim was to further identify prospects to increase awareness of modifiable CVD risk factors and influence behavior.

METHODS

This observational study was conducted in Dubai: a global city in the United Arab Emirates. Participants were selected using simple randomization approach in primary health care centers, and a questionnaire was implemented based on literature review.

RESULTS

Out of 1020 individuals approached, 738 agreed to participate in the study (response rate of 72%).The majority of participants surveyed had good knowledge and attitude toward CVD (528, 71.5% and 445, 60% respectively); yet, poor/fair practice related to CVD risk factors (553, 75%). Predictive Margins of Knowledge Scores were significant for age (p<.01), academic level (p<.0001), and nationality (p<.0001) (Table 5). Participants aging 40-49, non-UAE subjects, and university/Postgraduate academic level scored better on the knowledge. Demographics predictor for practice score was highly significant for age (p=.0001) and BMI (p=.0001). Those aging ≥50 and obese participants scored higher on practice toward CVD risk factors. Knowledge score was significant predictor of practice and attitude toward CVD risk factors (p=.0001, p<.0001).

CONCLUSIONS

Although more than half of the current study participants had high knowledge and attitude toward CVD, their behaviors were not satisfactory. It is necessary to establish more effective educational interventions intended to promote positive health behaviors. Public health providers need to explain to the public that knowledge and proper actions regarding the reduction of risk factors are associated with reduced CVD and mortality.

Incidence and Predictors of Cardiovascular Disease among Type 1 and Type 2 Diabetes Mellitus in a Tertiary Health Care Setting of Ethiopia: 8-Year Retrospective Follow-Up Study

Background

Cardiovascular disease (CVD) is a major cause of death and disability among people with diabetes in the world and it is proving to be a major barrier to sustainable human development. Despite CVD continuing to devastate human survival, few studies in Ethiopia have focused on its prevalence which alone are insufficient to assess the risk of incident cardiovascular events. Therefore, we determined the incidence and predictors of cardiovascular disease among diabetic patients in a selected tertiary healthcare setting of Ethiopia.

Methods

A retrospective cohort study using secondary data was conducted on 399 randomly selected diabetes patients. Data were entered using Epi-Data and analyzed using Stata version 14. Multivariable Weibull proportional hazards regression analysis was used to identify the predictors of CVDs (namely, coronary heart disease (CHD), stroke, and peripheral arterial disease (PAD)) at 5% level of significance.

Results

After a median follow-up of 5.9 years, the overall incidence rate of CVD per 100 person–years (PY) was 2.71 (95% CI=16.9–17.6). The multivariable Weibull proportional hazard regression analysis showed a significant association of chronic kidney disease (CKD); (adjusted hazard ratio (AHR) [95% CI]=2.53 [1.36–4.72]), systolic blood pressure (SBP)≥140; (AHR [95% CI]=4.30 [2.12–8.73]) and triglyceride (TG)≥200 mg/dL; (AHR [95% CI[=5.10 [2.02–12.89]) with risk of incident CVD.

Conclusion

CVD is a public health problem among diabetic patients in Ethiopia. SBP≥140, chronic kidney disease, and high triglyceride were independent predictors of new CVD among diabetic patients. These findings emphasize the need of attention for CVD patients with CKD and hypertension (HTN) comorbidities and a longer follow-up period using a prospective study design to determine the long-term effects of predictors of CVD among diabetic patients.

Albuminuria and Risk of Cardiovascular Events and Mortality in a General Population of Patients with Type 2 Diabetes Without Cardiovascular Disease: A Danish Cohort Study

BACKGROUND

Albuminuria level is associated with cardiovascular events and mortality in patients with diabetes. However, little is known about the association between albuminuria level in diabetes patients without overt cardiovascular disease. We aimed to examine the association between albuminuria level and the risk of ischemic stroke, myocardial infarction, and all-cause mortality in patients with type 2 diabetes without overt cardiovascular disease.

METHODS

We linked Danish nationwide registries to identify patients with type 2 diabetes without cardiovascular disease from May 2005 through June 2015. Patients were followed for the outcomes ischemic stroke, myocardial infarction, and all-cause mortality until December 31, 2015. Albuminuria level was based on 2 consecutive measurements of the urinary albumin excretion rate or albumin-to-creatinine ratio. Associations between albuminuria level and incidence of cardiovascular disease and mortality were evaluated with Cox proportional hazard regression.

RESULTS

The study population consisted of 69,532 patients with type 2 diabetes without cardiovascular disease. When comparing patients with microalbuminuria to patients with normoalbuminuria, in an analysis adjusted for cardiovascular risk factors, we found hazard ratios of 1.28 (95% confidence interval [CI], 1.07-1.52), 1.34 (95% CI, 1.10-1.62), and 1.48 (95% CI, 1.36-1.61) for ischemic stroke, myocardial infarction, and all-cause mortality, respectively. For macroalbuminuria, the hazard ratios were 1.81 (95% CI, 1.46-2.23), 1.99 (95% CI, 1.59-2.48), and 1.83 (95% CI, 1.64-2.04). Similar results were found after adjusting for concomitant medication.

CONCLUSIONS

This study showed that albuminuria level is associated with higher risk of incident ischemic stroke, myocardial infarction, and all-cause mortality in Type 2 diabetes patients without overt cardiovascular disease.

The global prevalence of tobacco use in type 2 diabetes mellitus patients: A systematic review and meta-analysis

BACKGROUND

A multi-layered association between tobacco use and type 2 diabetes mellitus (T2DM) is well established. However, global epidemiological patterns of tobacco use among T2DM patients are not well documented; this review thus aims to estimate the overall global burden of tobacco use in T2DM.

METHODS

A systematic review of studies published from Jan 1, 1990 to October 5, 2017 was undertaken, comprising: a comprehensive literature search on multiple electronic databases; quality assessment of studies; data extraction for the primary (prevalence of tobacco use in T2DM patients) and secondary outcomes (patterns of tobacco use in T2DM patients); and a meta-analysis. The review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines. A protocol for this review is available on PROSPERO (CRD42016038793).

FINDINGS

74 studies were included in the review, reporting data from 3.2 million participants across 33 countries. Global mean prevalence of tobacco use in T2DM was 20·81% (95% CI 18·93-22·76), and was higher in the WHO East Asia and Pacific and South Asia regions, compared to the Americas, Middle East and North Africa, Europe and Central Asia. In studies which compared prevalence of tobacco use in patients to non-patients, patients with T2DM were 26% less likely to use tobacco (pooled OR = 0·74 (CI 0·61-0·88).

INTERPRETATION

Tobacco is used by one in five T2DM patients globally, but usage is less likely in patients than in non-patients. Global patterns of use demonstrated by this review have implications for both prevention and The understanding of diabetes burden, and the success of tobacco cessation strategies.

Incidence of cardiovascular disease and its associated risk factors in at-risk men and women in the United Arab Emirates: a 9-year retrospective cohort study

Background

Cardiovascular disease (CVD) is the leading cause of mortality worldwide; however, the epidemiology of CVD among nationals from the United Arab Emirates (UAE) remains unknown. This study aimed to estimate the 9-year incidence rate of CVD and determine the risk factors associated with CVD among UAE nationals at high cardiovascular risk. In addition, we investigated whether sex was an important modifier of the risk factors associated with incident CVD in this population.

Methods

A retrospective cohort study was conducted on 977 subjects, including 492 women, aged ≥18 years, who did not have histories of CVD, and who had ≥1 CVD risk factors. Multivariable Cox proportional hazards regression analyses stratified by sex were used to examine the predictors of major CVD events, namely, myocardial infarction (MI), stroke, and acute peripheral arterial occlusion.

Results

During a median follow-up period of 8.9 years, the incidence rate of major CVD was 12.7 per 1000 person-years (95% confidence interval [CI] 10.4–15.4), and among men and women were 16.8 (95% CI 12.9–21.4) and 9.0 (95% CI 6.4–12.4) per 1000 person-years, respectively. Major CVD and MI were significantly more frequent among men than women, and the stroke and acute peripheral arterial occlusion rates were similar for both sexes. Multivariable Cox analyses showed that the systolic blood pressure, estimated glomerular filtration rate, and serum glycosylated hemoglobin A1c level were strong predictors of major CVD in both sexes. Among women, the total cholesterol (TC)-to-high-density lipoprotein-cholesterol (HDL-C) ratio (hazard ratio [HR] 1.44, 95% CI 1.02–2.04) was an additional independent predictor of major CVD. Age (HR 1.50, 95% CI 1.19–1.89) and a history of smoking (HR 1.80, 95% CI 1.07–3.02) were significant risk factors associated with major CVD in men.

Conclusions

Among high-risk UAE nationals who did not have histories of CVD, the risk of major CVD was associated with high systolic blood pressure, a low estimated glomerular filtration rate, and poorly controlled diabetes. The high TC-to-HDL-C ratios, especially among women, and smoking among men, are modifiable risk factors that should be managed aggressively.

Electronic supplementary material

The online version of this article (10.1186/s12872-019-1131-2) contains supplementary material, which is available to authorized users.

Sex differences and risk factors for diabetes mellitus - an international study from 193 countries

Background

Increases in overweight and obesity among youths have resulted in the diagnosis of Type 2 diabetes mellitus (T2DM) at earlier ages. The impact of lifestyle-related factors has been implicated; however, its relation to morbidity and mortality and sex differences remain unclear. We aimed to document the changes in risk factors and sex differences associated with T2DM-related morbidity and mortality during 1995–2015.

Method

We used mortality rates and morbidity estimates from the Global Burden of Diseases Study 2016 using Disability-Adjusted Life Years (DALY). Multiple linear regression analyses were used to determine associations between T2DM-related mortality and related risk factors. DALYs were grouped by country income level, and were stratified by sex.

Results

Increases in mortality were observed for both sexes, and females tended to have higher mortality rates per 100,000 persons. Body mass index (BMI) continued to be the leading risk factor for T2DM-related mortality, and increases in BMI were more common in low- and middle-income countries (LIC and MIC). Low physical activity was strongly associated with mortality rates, followed by dietary risks and smoking (2.4; 1.4; 0.8 per 100,000 persons, respectively). Similar patterns were observed after adjustments for income level, sex, and age. DALYs continued to show increasing trends across all income levels during 1995–2015 (high-income (HIC):16%; MIC: 36%; LIC: 12%). Stratification by sex showed similar results; males had fewer T2DM DALYs than females, though a greater increase was observed among males.

Conclusion

Overall, T2DM related mortality was higher among females. Compared to in HIC, there appeared to be a considerable increase in the burden of T2DM in MIC and LIC, where BMI is the leading risk factor for T2DM-related mortality. Prevention programs should emphasize related risk factors according to the existing standard of care.

[Association of plasma level of advanced oxidation protein products with Framingham risk score in type 2 diabetic patients without vascular diseases]

OBJECTIVE

To explore the association of plasma level of advanced oxidation protein products (AOPPs) with Framingham risk score in type 2 diabetic patients without vascular diseases.

METHDOS

This cross-sectional study was conducted among type 2 diabetic patients without vascular diseases recruited from 3 affiliated hospitals of Southern Medical University between March, 2010 and May, 2011, with age- and gender-matched healthy individuals as the control group. The demographic data were collected from all the participants, and the biochemical indexes and plasma levels of AOPPs were examined. The risk of cardiovascular disease in 10 years was assessed for all the participants based on their Framingham risk scores.

RESULTS

A total of 112 diabetic patients and 49 healthy subjects were enrolled in this study. The diabetic patients had significantly higher body mass index (BMI), blood glucose, triglyceride, low-density lipoprotein (LDL), plasma AOPPs and Framingham risk score but lower high-density lipoprotein level than the control subjects. Spearman correlation analysis showed that plasma level of AOPPs was positively correlated with the Framingham risk score (r=-0.44, P<0.001), and further multiple linear regression analysis suggested that plasma AOPPs level was independently correlated with the Framingham risk score (β0.305, P<0.001).

CONCLUSION

Type 2 diabetic patients without vascular diseases have significantly higher plasma levels of AOPPs and are at a greater risk of cardiovascular events in 10 years than healthy individuals. Plasma AOPPs are positively correlated with the Framingham risk score, suggesting the value of plasma AOPPs level in predicting the risk of cardiovascular events in these patients.

[Association of plasma level of advanced oxidation protein products with Framingham risk score in type 2 diabetic patients without vascular diseases]

OBJECTIVE

To explore the association of plasma level of advanced oxidation protein products (AOPPs) with Framingham risk score in type 2 diabetic patients without vascular diseases.

METHDOS

This cross-sectional study was conducted among type 2 diabetic patients without vascular diseases recruited from 3 affiliated hospitals of Southern Medical University between March, 2010 and May, 2011, with age- and gender-matched healthy individuals as the control group. The demographic data were collected from all the participants, and the biochemical indexes and plasma levels of AOPPs were examined. The risk of cardiovascular disease in 10 years was assessed for all the participants based on their Framingham risk scores.

RESULTS

A total of 112 diabetic patients and 49 healthy subjects were enrolled in this study. The diabetic patients had significantly higher body mass index (BMI), blood glucose, triglyceride, low-density lipoprotein (LDL), plasma AOPPs and Framingham risk score but lower high-density lipoprotein level than the control subjects. Spearman correlation analysis showed that plasma level of AOPPs was positively correlated with the Framingham risk score (r=-0.44, P<0.001), and further multiple linear regression analysis suggested that plasma AOPPs level was independently correlated with the Framingham risk score (β0.305, P<0.001).

CONCLUSION

Type 2 diabetic patients without vascular diseases have significantly higher plasma levels of AOPPs and are at a greater risk of cardiovascular events in 10 years than healthy individuals. Plasma AOPPs are positively correlated with the Framingham risk score, suggesting the value of plasma AOPPs level in predicting the risk of cardiovascular events in these patients.

Evaluation of the Role of -137G/C Single Nucleotide Polymorphism (rs187238) and Gene Expression Levels of the IL-18 in Patients with Coronary Artery Disease

Objectives

Interleukin-18 (IL-18) is a proinflammatory and proatherogenic cytokine, and its genetic variations may contribute to the development of coronary artery disease (CAD). We sought to investigate the role of -137G/C polymorphism and gene expression levels of IL-18 in patients with CAD.

Methods

The study population included 100 patients with angiographically proven CAD and 100 matched controls. Total RNA and DNA were extracted from leukocytes using appropriate kits. The genotype of -137G/C polymorphism and gene expression level of IL-18 was determined using allele-specific polymerase chain reaction (PCR) and real-time (RT)-PCR assay, respectively.

Results

The genotypic and allelic distribution of IL-18 -137G/C polymorphism was not significantly different between the two groups (p > 0.050). Moreover, the -137G/C polymorphism did not increase the risk of CAD in dominant and recessive genetic models (p > 0.050). However, subgroup analysis of CAD patients revealed that the IL-18 -137G/C polymorphism was significantly associated with increased risk of CAD in hypertensive patients (odds ratio (OR) = 7.51; 95% confidence interval (CI): 1.24-25.17; p = 0.019) and smokers (OR = 4.90; 95% CI: 1.21-19.70; p = 0.031) but not in the diabetic subpopulation (p = 0.261). The genotype distribution of IL-18 -137G/C genetic polymorphism was significantly different among patients with one, two, and three stenotic vessels (p < 0.050). The gene expression level of IL-18 was significantly higher in the CAD group than the control group (p < 0.001). Moreover, the carriers of CC genotype had significantly lower gene expression levels of IL-18 than carriers of GG genotype (p < 0.050).

Conclusions

The -137G/C polymorphism of IL-18 may be associated with the CAD risk in hypertensive and smoker subgroup of CAD patients. The -137G/C polymorphism seems to play an important role in determining the severity of CAD. Increased IL-18 gene expression level is a significant risk factor for the development of CAD. The CC genotype of -137G/C polymorphism is associated with lower IL-18 gene expression levels.