Diabetes mellitus is a coronary heart disease risk equivalent for peripheral vascular disease.
Ontology highlight
ABSTRACT: Diabetes mellitus (diabetes) is associated with significantly increased risk of peripheral vascular disease. Diabetes is classified as a coronary heart disease (CHD) risk equivalent, but it is unknown whether diabetes is a CHD risk equivalent for peripheral vascular disease. The objective was to evaluate the odds of peripheral arterial disease (PAD) or carotid artery stenosis (CAS) among participants with diabetes, CHD, or both, compared with participants without diabetes or CHD, in a nationwide vascular screening database. We hypothesized that diabetes and CHD would confer similar odds of PAD and CAS.A cross-sectional analysis of all eligible Life Line Screening Inc participants age 30 to 90 years with ankle brachial indices for PAD (ankle brachial index <0.9 in either leg) and carotid artery duplex ultrasonographic imaging for CAS (internal CAS ?50%) was performed (N=3,522,890).Diabetes and CHD were present in 372,330 (10.7%) and 182,760 (5.8%) of participants, respectively; PAD and CAS were present in 155,000 (4.4%) and 130,347 (3.7%) of participants. After multivariable adjustment, PAD odds were 1.56 (95% CI 1.54-1.59) and 1.69 (95% CI 1.65-1.73) for participants with diabetes or CHD, respectively. Participants with both diabetes and CHD had 2.75-fold increased odds of PAD (95% CI 2.66-2.85). Findings were similar for CAS; compared with no diabetes or CHD, CAS odds increased for participants with diabetes alone (1.53, 95% CI 1.50-1.56), CHD alone (1.72, 95% CI 1.68-1.76), and both diabetes and CHD (2.57, 95% CI 2.49-2.66). Findings were consistent for women and men.In a large database of more than 3.5 million self-referred participants, diabetes was a CHD risk equivalent for PAD and CAS, and participants with comorbid diabetes and CHD had an especially robust association with PAD and CAS. Counseling regarding screening and prevention of peripheral vascular disease may be useful for patients with diabetes.
Diabetes mellitus (diabetes) is associated with significantly increased risk of peripheral vascular disease. Diabetes is classified as a coronary heart disease (CHD) risk equivalent, but it is unknown whether diabetes is a CHD risk equivalent for peripheral vascular disease. The objective was to evaluate the odds of peripheral arterial disease (PAD) or carotid artery stenosis (CAS) among participants with diabetes, CHD, or both, compared with participants without diabetes or CHD, in a nationwide ...[more]
Project description:BACKGROUND AND AIMS:Diabetes mellitus is a coronary heart disease (CHD) risk-equivalent for the outcome of peripheral vascular disease. The impact of diabetes with comorbid risk factors on the outcome of peripheral vascular disease remains unexplored. METHODS:We performed a cross-sectional analysis of participants in Lifeline Vascular Screening Inc. age 40-90 who were screened for peripheral vascular disease, defined as lower extremity peripheral artery disease (PAD, ABI <0.9) and/or carotid artery stenosis (CAS, internal CAS ≥50%). CHD was defined as prior myocardial infarction or revascularization. Risk factors included hypertension, hyperlipidemia, smoking, obesity, sedentary lifestyle and family history of cardiovascular disease. RESULTS:Among 3,517,804 participants, PAD and CAS was identified in 4.4% and 3.7%, respectively. Diabetes was identified in 376,528 participants, 324,680 (86%) of whom did not have CHD. Among diabetic participants without CHD, prevalence of PAD increased with 1-2 (4.3%), 3-4 (7.3%), and ≥5 (12.0%) comorbid risk factors (p trend < 0.0001). The pattern was similar for CAS (3.7%, 6.2%, 8.8%, p trend < 0.0001). Compared to participants without diabetes, those with diabetes and 1-2, 3-4 and ≥5 risk factors had increasing odds of PAD and CAS after adjustment for age, sex and race/ethnicity (1.0, 95% CI 0.98-1.06; 1.8, 95% CI 1.8-1.89; 3.5, 95% CI 3.43-3.64, respectively, p trend < 0.0001). By comparison, in nondiabetic participants, CHD increased odds of PAD and CAS by 2-fold (2.06, 95% CI 2.02-2.1; 2.19, 95% CI 2.15-2.23 respectively). CONCLUSIONS:Diabetes, particularly with comorbid risk factors, confers increased odds of PAD and CAS, even in the absence of CHD. Counseling regarding screening and prevention for peripheral vascular disease among individuals with diabetes and multiple risk factors may be useful.
Project description:Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death due to complications, among which coronary heart disease (CHD) represents the most common and severe one. Given a huge number of T2DM patients, it is thus increasingly important to identify the ones with high risks of CHD complication but the quantitative method is still not available. Here, we first curated a dataset of 1,273 T2DM patients including 304 and 969 ones with or without CHD, respectively. We then trained an artificial intelligence (AI) model using randomly selected 4/5 of the dataset and use the rest data to validate the performance of the model. The result showed that the model achieved an AUC of 0.77 (fivefold cross-validation) on the training dataset and 0.80 on the testing dataset. To further confirm the performance of the presented model, we recruited 1,253 new T2DM patients as totally independent testing dataset including 200 and 1,053 ones with or without CHD. And the model achieved an AUC of 0.71. In addition, we implemented a model to quantitatively evaluate the risk contribution of each feature, which is thus able to present personalized guidance for specific individuals. Finally, an online web server for the model was built. This study presented an AI model to determine the risk of T2DM patients to develop to CHD, which has potential value in providing early warning personalized guidance of CHD risk for both T2DM patients and clinicians.
Project description:PurposePatients with diabetes mellitus (DM) are known to be at higher risk for peripheral artery disease (PAD), amputations, and major adverse cardiovascular events, though it is unclear whether they are at any higher risk for repeat intervention. LIBERTY 360 offered an opportunity to study a real-world cohort of patients who underwent distal superficial femoral artery endovascular revascularizations. We aimed to describe patients with DM, their outcomes following peripheral vascular intervention, and the effect of DM on outcomes in the LIBERTY 360 cohort.MethodsLIBERTY 360 is a prospective, multi-center, non-randomized, mono-industry funded observational study of patients undergoing endovascular revascularization. Outcomes included 30-day and 1-year all-cause mortality, major amputation, target vessel/lesion revascularization, and a composite of those events. A multivariable regression model including DM was constructed to examine the effect of DM on outcomes. Multivariable survival estimates were made using Cox proportional hazards models.ResultsA total of 1,204 patients were enrolled, of whom 727 had DM (60.4%). Patients with DM had significantly more comorbidities and a third required insulin for DM management. Patients with DM had more severe disease based on Rutherford classification at baseline. After adjusting for comorbidities and disease severity, DM patients had more frequent major amputations at 1 year (5.2% versus 1.2%; HR 2.71, 95%CI 1.05-6.98, p = 0.040). The 1-year rates of all-cause mortality and target vessel/lesion revascularization were not significantly higher for patients with DM.ConclusionsDiabetes mellitus was associated with increased major amputations at 1 year following endovascular revascularization after accounting for demographics, comorbidities, and PAD-related characteristics. Further research is needed to determine which aspects of PAD and DM are most strongly associated with poor outcomes following lower extremity revascularization.
Project description:Coronary artery disease (CAD) is a common complication of Type 2 diabetes mellitus (T2DM). Understanding the pathogenesis of this complication is essential in both diagnosis and management. Thus, this study aimed to characterize the presence of CAD in T2DM using molecular markers and pathway analyses. Total RNA from peripheral blood mononuclear cells (PBMCs) underwent whole transcriptomic profiling using the Illumina HumanHT-12 v4.0 expression beadchip. Differential gene expression with gene ontogeny analyses was performed, with supporting correlational analyses using weighted correlation network analysis (WGCNA)
Project description:BackgroundPersons with chronic kidney disease (CKD) are at high risk for cardiovascular disease events, but are not classified as such in current US cholesterol treatment guidelines. We examined potential effects of modified guidelines in which CKD was considered a "coronary heart disease (CHD) risk equivalent" for risk stratification.Study designNationally representative cross-sectional study.Setting & participants4,823 adults 20 years or older from the 2007-2010 National Health and Nutrition Examination Survey.PredictorsCardiovascular risk stratification based on current US cholesterol treatment guidelines and 2 simulated scenarios in which CKD stages 3-5 or CKD stages 1-5 were considered a CHD risk equivalent.Outcomes & measurementsProportion of persons with low-density lipoprotein (LDL) cholesterol at levels above treatment targets and above the threshold for lipid-lowering therapy initiation, based on current guidelines and the 2 simulated scenarios.ResultsUnder current guidelines, 55.1 million adults in 2010 did not achieve the target LDL cholesterol goal. Of these, 25.2 million had sufficiently elevated levels to meet recommendations for initiating lipid-lowering therapy; 12.1 million were receiving this therapy but remained above goal. When CKD stages 3-5 were considered a CHD risk equivalent, 59.2 million persons were above target LDL cholesterol goals, with 28.5 million and 13.3 million meriting therapy initiation and intensification, respectively. When CKD stages 1-5 were considered a CHD risk equivalent, 65.2 million adults were above goal, with 33.9 million and 14.4 million meriting therapy initiation and intensification, respectively.LimitationsCKD and LDL cholesterol defined using a single laboratory value.ConclusionsMany adults in the United States currently do not meet recommended goals for LDL cholesterol levels. Modifying the current cholesterol guidelines to include CKD as a CHD risk equivalent would lead to a substantial increase in both the number of persons with levels above LDL cholesterol treatment targets and those recommended to initiate lipid-lowering therapy.
Project description:PurposePeripheral vascular disease (PVD) is a life-threatening condition affecting the lower extremities. Common risk factors include type 2 diabetes (T2D), hypertension, dyslipidemia, smoking, and older age. There is a little-documented research on the genetic basis of the disease in Taiwan. We examined the impact of T2D and the blood pressure-associated rs17367504 variant of the Methylenetetrahydrofolate reductase (MTHFR) gene on PVD risk.Materials and methodsIn this population-based association study, we linked data from 8992 participants in Taiwan Biobank (TWB) to their medical records in the National Health Insurance Research Database (NHIRD). Participants were 30 to 70 years old at recruitment and included those assessed between 2008 and 2015. We tested for association of PVD with rs17367504 and T2D using multiple logistic regression models. The rs17367504 variant was assessed using the Axiom-Taiwan Biobank Array Plate (TWB chip: Affymetrix, Inc., Santa Clara, CA, USA).ResultsAmong cases with T2D (n = 1294), 158 (12.21%) were identified with PVD. T2D was associated with PVD (odds ratio [OR], 1.52; 95% confidence interval [CI], 1.21-1.91; p<0.001) whereas rs17367504 variant was not (OR, 0.96; CI, 0.76-1.21; p = 0.728 in AG/GG compared to AA homozygotes). However, T2D and rs17367504 had an interactive effect on PVD (p for interaction = 0.0076). Results from our stratified analyses displayed OR of 1.75 (CI, 1.35-2.26; p<0.001) in AA individuals with DM and 0.94 (CI, 0.56-1.58; p = 0.811) in AG+GG individuals with T2D. Using the AA genotype and no T2D as the reference group, the respective OR of PVD was 1.77 (CI, 1.38-2.28; p<0.001) in AA individuals with T2D; 1.18 (CI, 0.91-1.55; p = 0.215) in AG+GG individuals with no T2D, and 1.03 (CI, 0.66-1.60; p = 0.892) in AG+GG individuals with T2D .ConclusionWe found that type 2 diabetes was associated with increased risk of peripheral vascular disease, particularly in AA genotype carriers of the rs17367504 variant in Taiwan.
Project description:Aims/hypothesisSleep duration is a risk factor for incident diabetes mellitus and CHD. The primary aim of the present study was to investigate, in sex-specific analyses, the role of incident diabetes as the possible biological mechanism for the reported association between short/long sleep duration and incident CHD. Considering that diabetes is a major risk factor for CHD, we hypothesised that any association with sleep duration would not hold for cases of incident CHD occurring before incident diabetes ('non-diabetes CHD') but would hold true for cases of incident CHD following incident diabetes ('diabetes-CHD').MethodsA total of 6966 men and 9378 women aged 45-73 years from the Malmö Diet Cancer Study, a population-based, prospective cohort, who had answered questions on habitual sleep duration and did not have a history of prevalent diabetes or CHD were included in the analyses. Incident cases of diabetes and CHD were identified using national registers. Sex-specific Cox proportional hazards regression models were stratified by BMI and adjusted for known covariates of diabetes and CHD.ResultsMean follow-up times for incident diabetes (n = 1137/1016 [men/women]), incident CHD (n = 1170/578), non-diabetes CHD (n = 1016/501) and diabetes-CHD (n = 154/77) were 14.2-15.2 years for men, and 15.8-16.5 years for women. In men, short sleep duration (< 6 h) was associated with incident diabetes (HR 1.35, 95% CI 1.01, 1.80), CHD (HR 1.41, 95% CI 1.06, 1.89) and diabetes-CHD (HR 2.34, 95% CI 1.20, 4.55). Short sleep duration was not associated with incident non-diabetes CHD (HR 1.35, 95% CI 0.98, 1.87). Long sleep duration (≥ 9 h) was associated with incident diabetes (HR 1.37, 95% CI 1.03, 1.83), CHD (HR 1.33, 95% CI 1.01, 1.75) and diabetes-CHD (HR 2.10, 95% CI 1.11, 4.00). Long sleep duration was not associated with incident non-diabetes CHD (HR 1.33, 95% CI 0.98, 1.80). In women, short sleep duration was associated with incident diabetes (HR 1.53, 95% CI 1.16, 2.01), CHD (HR 1.46, 95% CI 1.03, 2.07) and diabetes-CHD (HR 2.88, 95% CI 1.37, 6.08). Short sleep duration was not associated with incident non-diabetes CHD (HR 1.29, 95% CI 0.86, 1.93).Conclusions/interpretationThe associations between sleep duration and incident CHD directly reflect the associations between sleep duration and incident diabetes. Incident diabetes may thus be the explanatory mechanism for the association between short and long sleep duration and incident CHD.
Project description:Circulating cell-free mitochondrial deoxyribonucleic acid (ccf-mtDNA) is presumably derived from injured tissues or cells in the body and has been suggested to be potential biomarker in several diseases. The present study explored whether mtDNA could be used as a biomarker to evaluate disease in coronary heart disease (CHD) patients with or without diabetes mellitus (DM).A total of 50 CHD patients with type 2 diabetes, 50 CHD patients without type 2 diabetes, and 50 age- and sex-matched patients without CHD and DM (non-CHD-DM) were recruited. Ccf-mtDNA levels were assessed by measuring the nicotinamide adenine dinucleotide dehydrogenase 1 gene using quantitative real-time polymerase chain reaction. Receiver operating characteristic curve analysis of plasma mtDNA in CHD with or without DM was also determined. Multivariate logistic regression analyses were carried out to determine the correlation between the mtDNA levels and traditional CHD risk factors.The plasma ccf-mtDNA levels were significantly elevated in CHD patients with DM compared with those without and non-CHD-DM. The area under the receiver operating characteristic curves of mtDNA in CHD patients with DM vs non-CHD-DM was 0.907%. Correlation analyses of the mtDNA levels and traditional CHD risk factors showed that the mtDNA levels were significantly correlated with fasting blood glucose in CHD patients with DM.Ccf-mtDNA levels can be used as a biomarker in CHD patients with DM.
Project description:BackgroundType 2 diabetes mellitus (T2DM), coronary heart disease (CHD) and metabolic syndrome (MetS) are major healthcare problems in Kuwait. The present study was designed to determine the prevalence of MetS, and to estimate the 10-year risk for developing T2DM and CHD among the general population in Kuwait.MethodsA descriptive, cross-sectional survey was undertaken in 1800 individuals without diabetes or a history of cardiovascular disease (CVD). They were selected from six governorates using two stage convenience sampling. The questionnaire was developed using the Finnish Diabetes Risk Score (FINDRISK), Framingham Risk Score [FRS] and the 2009 Joint Statement criteria for diagnosis of MetS as a framework. Descriptive and multivariate logistic regression analyses were used.ResultsThe response rate was 89.4%. More than half (60.8%; 95% CI: 58.4-63.2) of responders were either overweight or obese. One hundred and ninety seven (12.2%) subjects had blood pressure (BP) ? 140/90 mm Hg. Almost three-in-ten (28.3%: 26.2-30.6) subjects had fasting plasma glucose (FPG) levels ? 5.6 mmol/l, of whom 86.0% and 14.0% had impaired fasting glucose (IFG) and screen detected T2DM, respectively. MetS was present in 512 (31.8%; 29.5-34.2) respondents. Just under one third (n = 481; 29.9%; 27.7-32.2) of participants were at moderate, high, or very high risk of developing T2DM, while 283 (17.6%: 15.8-19.6) were at moderate/high 10-year risk of developing CHD. Approximately one-in-ten (8.5%; 7.2-9.9) subjects were at moderate/high/very high 10-year risk of developing both T2DM/CHD. T2DM risk was higher for females compared to males (p < 0.001); however, the pattern was reversed in terms of the risk of developing CHD or T2DM/CHD. The risk of developing T2DM, CHD, or T2DM/CHD was greater among those aged ? 45 years, and those having MetS (p<0.001).ConclusionsThe current findings highlight the need for multifaceted interventions for prevention.
Project description:Diabetic vascular complications are one of the main causes of death and disability. Previous studies have reported that genetic variation is associated with diabetic vascular complications. In this study, we aimed to investigate the association between GRB10 polymorphisms and susceptibility to type 2 diabetes mellitus (T2DM) vascular complications. Eight single nucleotide polymorphisms (SNPs) in the GRB10 gene were genotyped by MassARRAY system and 934 patients with type 2 diabetes mellitus (T2DM) were included for investigation. We found that GRB10 rs1800504 CC+CT genotypes were significantly associated with increased risk of coronary heart disease (CHD) compared with TT genotype (OR = 2.24; 95%CI: 1.36-3.70, p = 0.002). Consistently, levels of cholesterol (CHOL) (CC+CT vs. TT, 4.44 ± 1.25 vs. 4.10 ± 1.00 mmol/L; p = 0.009) and low density lipoprotein cholesterin (LDL-CH) (CC+CT vs. TT, 2.81 ± 1.07 vs. 2.53 ± 0.82 mmol/L; p = 0.01) in T2DM patients with TT genotype were significant lower than those of CC+CT genotypes. We further validated in MIHA cell that the total cholesterol (TC) level in GRB10-Mut was significantly reduced compared with GRB10-WT; p = 0.0005. Likewise, the reversed palmitic acid (PA) induced lipid droplet formation in GRB10-Mut was more effective than in GRB10-WT. These results suggest that rs1800504 of GRB10 variant may be associated with the blood lipids and then may also related to the risk of CHD in patients with T2DM.
