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Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Aarhus, Denmark
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Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
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Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Objective
The aim was to examine the association between hospital-diagnosed overweight/obesity and incident CVD according to the time period of the overweight/obesity diagnosis.
Design
This is a cohort study.
Methods
From Danish national health registries, we identified all residents with a first-time hospital-based overweight/obesity diagnosis code, 1977–2018 (n = 195,221), and an age and sex-matched general population comparison cohort (n = 1,952,210). We computed adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) using Cox regression. We adjusted for comorbidities and educational level and applied 10 years of follow-up.
Results
The overall incidence rate was 10.1 (95% CI 10.0–10.1) per 1000 person-years for the comparison cohort and 25.1 (95% CI 24.8–25.4) per 1000 person-years for the overweight/obesity cohort, corresponding to an aHR of 2.5 (95% CI 2.4–2.5). The aHR was elevated for all subtypes of CVD: heart failure: 3.9 (95% CI 3.7–4.1), bradyarrhythmia: 2.9 (95% CI 2.7–3.1), angina pectoris: 2.7 (95% CI 2.7–2.8), atrial fibrillation or flutter: 2.6 (95% CI 2.5–2.6), acute myocardial infarction: 2.4 (95% CI 2.3–2.4), revascularization procedure: 2.4 (95% CI 2.2–2.5), valvular heart disease: 1.7 (95% CI 1.6–1.8), ischemic stroke: 1.6 (95% CI 1.4–1.7), transient ischemic attack: 1.6 (95% CI 1.5–1.7), and cardiovascular death: 1.6 (95% CI 1.5–1.6). The 1–10-year aHR of any CVD associated with an overweight/obesity diagnosis decreased from 2.8 (95% CI 2.7–2.9) in 1977–1987 to 1.8 (95% CI 1.8–1.9) in 2008–2018.
Conclusion
Patients with hospital-diagnosed overweight/obesity had high rates of ischemic heart disease, heart failure, structural heart disease, arrhythmia, stroke, and death, although the strength of the association decreased in recent years.
Significance statement
Obesity is linked to metabolic abnormalities that predispose individuals to an increased risk of subtypes of CVD. In this population-based nationwide 40-year cohort study, we found that of 195,221 patients with an overweight/obesity diagnosis, more than 31,000 (15.9%) were admitted to hospital within 10 years because of CVD; corresponding to a 2.5-fold greater relative risk of any CVD associated with overweight/obesity than in the general population. We observed an increased risk for most CVD subtypes, including ischemic heart disease, heart failure, structural heart disease, arrhythmia, stroke, and cardiovascular death, although the strength of the association decreased in recent years. Our study emphasizes the importance of improved clinical handling of obesity and underscores the need to prevent associated complications to alleviate the burden of obesity.
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Objective
Real-world-based population data about the optimal low-density lipoprotein cholesterol (LDL-C) level for preventing cardiovascular disease in very high-risk populations is scarce.
Methods
From 2009 to 2012, 26,922 people aged ≥ 40 years with type 2 diabetes mellitus (T2DM) who had a history of percutaneous coronary intervention (PCI) were analyzed. Data from the Korean National Health Insurance System were used. They were followed up to the date of a cardiovascular event or the time to death, or until December 31, 2018. Endpoints were recurrent PCI, newly stroke or heart failure, cardiovascular death, and all-cause death. Participants were divided into the following categories according to LDL-C level: <55 mg/dL, 55–69 mg/dL, 70–99 mg/dL, 100–129 mg/dL, 130–159 mg/dL, and ≥ 160 mg/dL.
Results
Compared to LDL-C < 55 mg/dL, the hazard ratios (HR) for re-PCI and stroke increased linearly with increasing LDL-C level in the population < 65 years. However, in ≥ 65 years old, HRs for re-PCI and stroke in LDL-C = 55–69 mg/dL were 0.97 (95% CI: 0.85–1.11) and 0.96 (95% CI: 0.79–2.23), respectively. The optimal range with the lowest HR for heart failure and all-cause mortality were LDL-C = 70–99 mg/dL and LDL-C = 55–69 mg/dL, respectively, in all age groups (HR: 0.99, 95% CI: 0.91–1.08 and HR: 0.91, 95% CI: 0.81–1.01).
Conclusion
LDL-C level below 55 mg/dL appears to be optimal in T2DM patients with established cardiovascular disease aged < 65 years, while an LDL-C level of 55–69 mg/dL may be optimal for preventing recurrent PCI and stroke in patients over 65 years old.
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Objective
Uridine might be a common link between pathological pathways in diabetes and cardiovascular diseases. This study aimed to investigate the predictive value of plasma uridine for type 2 diabetes (T2D) and T2D with atherosclerosis.
Methods
Individuals with T2D and healthy controls (n = 218) were randomly enrolled in a cross-sectional study. Patients with T2D were divided into two groups based on carotid ultrasound: patients with carotid atherosclerosis (CA) (group DCA) and patients without CA (group D). Plasma uridine was determined using HPLC-MS/MS. Correlation and logistic regression analyses were used to analyze the results.
Results
Fasting and postprandial uridine were significantly increased in patients with T2D compared with healthy individuals. Logistic regression suggested that fasting and postprandial uridine were independent risk factors for T2D. The receiver operating characteristic (ROC) curve showed that fasting uridine had a predictive value on T2D (95% CI, 0.686–0.863, sensitivity 74.3%, specificity 71.8%). Fasting uridine was positively correlated with LDL-c, FBG, and PBG and negatively correlated with fasting C-peptide (CP-0h) and HOMA-IS. The change in postprandial uridine from fasting baseline (Δuridine) was smaller in T2D patients with CA compared with those without (0.80 (0.04–2.46) vs 2.01 (0.49–3.15), P = 0.010). Δuridine was also associated with T2D with CA and negatively correlated with BMI, CP-0h, and HOMA-IR.
Conclusion
Fasting uridine has potential as a predictor of diabetes. Δuridine is closely associated with carotid atherosclerosis in patients with T2D.
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Faculty of Medicine, University of Latvia, Riga, Latvia
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The increasing prevalence of ‘diabesity’, a combination of type 2 diabetes and obesity, poses a significant global health challenge. Unhealthy lifestyle factors, including poor diet, sedentary behaviour, and high stress levels, combined with genetic and epigenetic factors, contribute to the diabesity epidemic. Diabesity leads to various significant complications such as cardiovascular diseases, stroke, and certain cancers. Incretin-based therapies, such as GLP-1 receptor agonists and dual hormone therapies, have shown promising results in improving glycaemic control and inducing weight loss. However, these therapies also come with certain disadvantages, including potential withdrawal effects. This review aims to provide insights into the cross-interactions of insulin, glucagon, and GLP-1, revealing the complex hormonal dynamics during fasting and postprandial states, impacting glucose homeostasis, energy expenditure, and other metabolic functions. Understanding these hormonal interactions may offer novel hypotheses in the development of ‘anti-diabesity’ treatment strategies. The article also explores the question of the antagonism of insulin and glucagon, providing insights into the potential synergy and hormonal overlaps between these hormones.
Department of Endocrinology, Austin Health, Melbourne, Australia
Division of Endocrinology, Diabetes and Metabolism, Northwell, Great Neck, New York, USA
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Department of Cardiology, Austin Health, Melbourne Australia
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Olivia Newton-John Cancer Research Institute, Austin Health, Melbourne, Australia
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Department of Endocrinology, Austin Health, Melbourne, Australia
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Department of Endocrinology, Austin Health, Melbourne, Australia
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Purpose
We previously demonstrated that 12 months of aromatase inhibitor (AI) treatment was not associated with a difference in body composition or other markers of cardiometabolic health when compared to controls. Here we report on the pre-planned extension of the study. The pre-specified primary hypothesis was that AI therapy for 24 months would lead to increased visceral adipose tissue (VAT) area when compared to controls.
Methods
We completed a 12-month extension to our prospective 12-month cohort study of 52 women commencing AI treatment (median age 64.5 years) and 52 women with breast pathology not requiring endocrine therapy (63.5 years). Our primary outcome of interest was VAT area. Secondary and exploratory outcomes included other measures of body composition, hepatic steatosis, measures of atherosclerosis and vascular reactivity. Using mixed models and the addition of a fourth time point, we increased the number of study observations by 79 and were able to rigorously determine the treatment effect.
Results
Among study completers (AI = 39, controls = 40), VAT area was comparable between groups over 24 months, the mean-adjusted difference was −1.54 cm2 (95% CI: −14.9; 11.9, P = 0.79). Both groups demonstrated parallel and continuous increases in VAT area over the observation period that did not diverge or change between groups. No statistically significant difference in our secondary and exploratory outcomes was observed between groups.
Conclusions
While these findings provide reassurance that short-to-medium-term exposure to AI therapy is not associated with metabolically adverse changes when compared to controls, risk evolution should be less focussed on the AI-associated effect and more on the general development of cardiovascular risk over time.
