Diabetes & vascular disease research最新文献

Objectives: A pharmacoepidemiological study to assess VTE risk factors in a diabetes-rich population.

Methods: The study comprised 299,590 individuals. We observed 3450 VTEs and matched them with 15,875 controls using a nested case-control approach and collected data on comorbidities and prescriptions. By multivariable conditional logistic regression, we calculated ORs with 95%CIs for comorbidities and medications to evaluate their associations with VTE.

Results: Diabetes (aOR 2.16; 95%CI 1.99-2.34), inflammatory bowel disease (1.84; 1.27-2.66), and severe psychiatric disorders (1.72; 1.43-2.05) had the strongest associations among the non-cancer comorbidities. Pancreatic (12.32; 7.11-21.36), stomach (8.57; 4.07-18.03), lung and bronchus (6.26; 4.16-9.43), and ovarian (6.72; 2.95-15.10) cancers were ranked as high-risk for VTE. Corticosteroids, gabapentinoids, psychotropic drugs, risedronic acid, and pramipexole were most strongly associated (aOR exceeding 1.5) with VTE. Insulin (3.86; 3.33-4.47) and sulphonylureas (2.62; 2.18-3.16) had stronger associations than metformin (1.65; 1.49-1.83). Statins and lercanidipine (0.78; 0.62-0.98) were associated with a lowered risk of VTE.

Conclusions: In this cohort, with 50% diabetes prevalence, pancreatic, stomach, lung and bronchus, and ovarian cancers were strongly associated with VTE. Corticosteroids, gabapentinoids, and psychotropic medications had the strongest associations with VTE among medications. This may be valuable for generating hypotheses for the further research. Lercanidipine may be a novel protective medication against VTE.

Objective: Long-standing diabetes mellitus is often associated with cardiovascular complications. We aimed to evaluate the presence, extent and composition of subclinical atherosclerotic plaques in coronary arteries by Computed Tomography in patients with newly diagnosed type 2 diabetes mellitus (NDT2DM), and to identify the predictors.

Methods: In this study 101 consecutive patients with NDT2DM were included. Patients were categorized into five groups based on their Coronary Artery Calcium Score (CACS) ranging from 0, 0-10, 11-100, 101-400 to >400. All parameters were compared across these groups.

Results: The average patient age was 54.4 ± 11.6 years and 48 (47.5%) were females. Eight (7.9%) patients had CACS 0, 6.9% CACS 1-10, 42.6% CACS 11-100, 22.8% CACS 101-400 and 19.8% had CACS >400. Multiple regression analysis for the general data identified weight (p = .04) and systolic blood pressure (p = .033) as independent predictors for CACS.

Conclusions: Asymptomatic patients with NDT2DM in more than 90% of cases may present with calcified atherosclerotic plaques and this may be predicted by: patient weight and the level of systolic arterial pressure. Our study emphasizes the need for comprehensive care and early prevention of cardiovascular complications in individuals with NDT2DM.

Purpose: To evaluate the effects of chromium (Cr) and magnesium (Mg) ions on metabolic profiles, inflammation, and oxidative stress with impaired glucose tolerance (IGT) and insulin resistance (IR).

Methods: 120 individuals with IGT and IR were randomly divided into four groups treated with (1) chromium, (2) magnesium, (3) chromium and magnesium or (4) placebo. Metabolic and inflammatory indicators were measured at baseline and after 3 months intervention.

Results: Comparison among groups showed that fasting plasma glucose (FPG), 2 h post glucose (2hPPG), fasting insulin (FINS) and homeostatic model assessment for insulin resistance (HOMA-IR) in Cr + Mg group were significantly decreased compared with the other three groups (p < .05), and high density lipoprotein (HDL-c) levels were higher. 8-iso prostaglandin F2 alpha (8-iso-PGF2a) decreased in Cr, Mg, and Cr + Mg groups compared with placebo (p < .05), and 8-iso-PGF2a decreased in Cr + Mg groups compared with Cr group and Mg groups (p > .05). Intra-group comparison showed that the levels of FPG, 2hPPG and FINS in Cr + Mg group were significantly decreased after intervention (p < .05), and FINS in Mg group was significantly decreased (p < .01). The levels of HDL-c and triacylglycerol (TG) in Cr + Mg group were significantly improved (p < .05). The level of HDL-c in Mg group was significantly improved compared with baseline (p < .05). Compared with baseline, high-sensitivity C-reactive protein (hsCRP) levels in Cr + Mg group and Mg group were significantly decreased (p < .05).

Conclusions: The co-supplementation of Cr and Mg improves glycemic and lipid levels and reduces the inflammatory response and oxidative stress profiles of individuals with impaired glucose tolerance and insulin resistance.

Purpose: Low values of bioimpedance-derived phase angle (PA) have been associated with various adverse outcomes. We investigated the association of PA with cardiovascular markers in individuals with and without diabetes mellitus (DM).

Methods: PA was measured in 452 adults (without DM n = 153, T1DM n = 67, T2DM n = 232). Carotid intima-media thickness (IMT), renal resistive index (RRI), ankle-brachial index (ABI) and carotid-femoral Pulse Wave Velocity (cfPWV) were estimated. Furthermore, the levels of high-sensitive Troponin-T [hsTnT], N-terminal brain natriuretic peptide [NT-pro-BNP]) were measured.

Results: PA values were lower in DM independently of age, gender, and BMI (estimated marginal means 6.21, 5.83, 5.95 for controls, T1DM, T2DM p < .05), a finding which persisted after propensity score matching. PA correlated negatively with IMT (r = -0.181), RRI (r = -0.374), cfPWV (r = -0.358), hsTnT (r = -0.238) and NT-pro-BNP (r = -0.318) (all p < .001). In multivariable analysis, the associations with RRI, cfPWV, hsTnT and NT-pro-BNP remained unchanged. PA values 6.0-6.5° for males and 5.2-5.8° for females were predictive of commonly used cutoffs. The combination of ΑCC/AHA ASCVD Score with PA outperformed either factor in predicting cfPWV, RRI for males and hsTnT, BNP for both genders.

Conclusions: PA exhibits independent correlations with various parameters pertinent to cardiovascular risk and may be useful for cardiovascular assessment.

Purpose: To investigate the impact of statin use on primary prevention of cardiovascular disease (CVD) in patients with type 2 diabetes mellitus (T2DM) in a dose-, class-, and use intensity-dependent manner.

Methods: We used an inverse probability treatment-weighted Cox hazards model, with statin use status as a time-dependent variable.

Results: Our results showed that statin use was associated with a significant reduction in CVD risk with an adjusted hazard ratio of 0.39. Pitavastatin was found to have the lowest CVD risk among the different classes of statins, followed by rosuvastatin, pravastatin, atorvastatin, simvastatin, fluvastatin, and lovastatin. Our analysis also revealed that a higher cumulative defined daily dose per year of statin was associated with a lower CVD risk. Additionally, a higher intensity of daily statin dose was associated with a lower CVD risk in patients with T2DM.

Conclusion: This study highlights the importance of statin use in reducing the risk of CVD in patients with T2DM, and the significance of dose, class, and intensity of statin use, in particular, pitavastatin class of statins was found to be the most effective in primary prevention of CVD in T2DM.

Aims: Combination therapy with sodium-glucose cotransporter inhibitors (SGLT2is) and GLP-1 receptor agonists (GLP1Ras) is now of interest in clinical practice. The present study evaluated the effects of the preceding drug type on the renal outcome in clinical practice.

Methods: We retrospectively extracted type 2 diabetes mellitus patients who had received both SGLT2i and GLP1Ra treatment for at least 1 year. A total of 331 patients in the GLP1Ra-preceding group and 312 patients in the SGLT2i-preceding group were ultimately analyzed. Either progression of the albuminuria status and/or a ≥30% decrease in the eGFR was set as the primary renal composite outcome. The analysis using propensity score with inverse probability weighting was performed for the outcome.

Results: The incidences of the renal composite outcome in the SGLT2i- and GLP1Ra-preceding groups were 28% and 25%, respectively, with an odds ratio [95% confidence interval] of 1.14 [0.75, 1.73] (p = .54). A logistic regression analysis showed that the mean arterial pressure (MAP) at baseline, the logarithmic value of the urine albumin-to-creatinine ratio at baseline, and the change in MAP were independent factors influencing the renal composite outcome.

Conclusion: With combination therapy of SGLT2i and GLP1Ra, the preceding drug did not affect the renal outcome.

Objective: To compare the cardiovascular and renal outcomes of GLP-1 RA versus DPP4i and basal insulin in the management of T2DM.

Methods: Data from 22 studies involving over 200,000 participants were pooled using the inverse variance method and random-effects meta-analysis. The review was reported in accordance with PRISMA.

Results: Compared with DPP4i, treatment with GLP-1 RA was associated with a greater benefit on composite cardiovascular outcomes (HR:0.77, 95% CI:0.69-0.87), myocardial infarction (HR:0.82, 95% CI:0.69-0.97), stroke (HR:0.83, 95% CI: 0.74-0.93), cardiovascular mortality (HR:0.76, 95% CI:0.68-0.85) and all-cause mortality (HR:0.65, 95% CI:0.48-0.90). There was no difference in effect on heart failure (HR:0.97, 95% CI:0.82-1.15). Compared with basal insulin, GLP-1 RA was associated with better effects on composite cardiovascular outcomes (HR:0.62, 95% CI:0.48-0.79), heart failure (HR:0.57, 95% CI:0.35-0.92), myocardial infarction (HR:0.70, 95% CI:0.58-0.85), stroke (HR:0.50, 95% CI:0.40-0.63) and all-cause mortality (HR:0.31, 95% CI:0.20-0.48). Evidence from a small number of studies suggests that GLP-1 RA had better effects on composite and individual renal outcomes, such as eGFR, compared with either DPP4i and basal insulin.

Conclusion: Available evidence suggests that treating T2DM with GLP-1 RA can yield better benefits on composite and specific cardiorenal outcomes than with DPP4i and basal insulin.

Prospero registration number: CRD42022335504.

Objective: This observational study assesses trends in type 1 diabetes mellitus (T1DM) disease burden across the 19 countries of the European Union (EU) 15+ between 1990 and 2019.

Methods: The Global Burden of Disease Study database was used to gather T1DM age-standardised incidence (ASIR), prevalence (ASPR), mortality (ASMR), and disability-adjusted life-year (DALY) rates per 100,000 for each EU15+ country (1990 - 2019). Joinpoint regression analysis was used to describe the trends.

Results: From 1990 to 2019, T1DM ASIRs and ASPRs increased globally except for females in Finland (-2.9% and -9.4%), the largest increase in ASPR for males and females was observed in France (+144.4% and +137.5% respectively). All had reductions in ASMRs for males and females, with the largest observed in Spain (-56.7% and -79.0% respectively). Trends in DALYs were variable across countries, with increases in DALYs noted in 14/19 for males, and 9/19 for females. Denmark, Finland, Norway, Netherlands, and Sweden had a reduction in DALYs for both males and females.

Conclusions: Mortality from T1DM is reducing across EU15+ countries, despite concomitant increases in incidence and prevalence rates. Trends in DALYs are variable across countries, reflecting differential trends in the disease burden across countries with similarly high health expenditure.

Over half a billion adults across the world have diabetes mellitus (DM). This has a wide-ranging impact on their health, including more than doubling their risk of major cardiovascular events, in comparison to age-sex matched individuals without DM. Notably, the risk of heart failure is particularly increased, even when coronary artery disease and hypertension are not present. Macro- and micro-vascular complications related to endothelial cell (EC) dysfunction are a systemic feature of DM and can affect the heart. However, it remains unclear to what extent these and other factors underpin myocardial dysfunction and heart failure linked with DM. Use of unbiased 'omics approaches to profile the molecular environment of the heart offers an opportunity to identify novel drivers of cardiac dysfunction in DM. Multiple transcriptomics studies have characterised the whole myocardium or isolated cardiac ECs. We present a systematic summary of relevant studies, which identifies common themes including alterations in both myocardial fatty acid metabolism and inflammation. These findings prompt further research focussed on these processes to validate potentially causal factors for prioritisation into therapeutic development pipelines.

Introduction: The Singapore Study of Macro-Angiopathy and microvascular Reactivity in Type 2 Diabetes (SMART2D) is a prospective cohort study which was started in 2011 to investigate the effect of risk factors on vascular function and diabetes-related complications in Asians. We aimed to compare the longitudinal change in risk factors by accounting for batch effect and assess the tracking stability of risk factors over time in patients recruited for SMART2D. In this study, we (1) described batch effect and its extent across a heterogenous range of longitudinal data parameters; (2) mitigated batch effect through statistical approach; and (3) assessed the tracking stability of the risk factors over time.

Methods: A total of 2258 patients with type 2 diabetes mellitus (T2DM) were recruited at baseline. The study adopted a three-wave longitudinal design with intervals of 3 years between consecutive waves. The changes in a few selected risk factors were assessed after calibration, assuming patients with similar demographic and anthropometry profile had similar physiology. The tracking pattern of the risk factors was determined with stability coefficients derived from generalised estimating equations.

Results: The medians of the longitudinal differences in risk factors between the waves were mostly modest at <10%. Larger increases in augmentation index (AI), aortic systolic blood pressure (BP) and aortic mean BP were consistently observed after calibration. The medians of the longitudinal differences in AI, aortic systolic BP and aortic mean BP between the waves were <2% before calibration, but increased slightly to <5% after calibration. Most of the risk factors had moderate to high tracking stability. Muscle mass and serum creatinine were among those with relatively high tracking stability.

Conclusions: The longitudinal differences in parameters between the waves were overall modest after calibration, suggesting that calibration may attenuate longitudinal differences inflated by non-biological factors such as systematic drift due to batch effect. Changes of the hemodynamic parameters are robust over time and not entirely attributable to age. Our study also demonstrated moderate to high tracking stability for most of the parameters.