Purpose: The aim of the study was to assess the relationships between diabetic retinopathy, subclinical atherosclerosis and wave reflection in type 1 diabetic patients.
Methods: The investigation involved 87 type 1 diabetic patients aged 34 years (interquartile range [IQR]: 29-43), with a disease duration of 10 years (IQR: 9-14). Of these 39 (45%) had diabetic retinopathy. Carotid intima-media thickness (CIMT) was measured using high resolution ultrasonography. Wave reflection and central hemodynamics [central (CAI(x)) and peripheral augmentation index (PAI(x))] were determined with the use of tonometry.
Results: Patients with retinopathy compared to those without had increased CIMT (530 vs 480 μm, p = 0.017) and wave reflection (CAI(x) [118.90 vs 110.96 %, p = 0.03] and PAI(x) [64.95 vs 57.44 %, p = 0.029]). In logistic regression analysis, patient's age, duration of diabetes, systolic and diastolic blood pressure, postprandial glycemia, HbA1c value, CIMT (p = 0.017), CAI(x) (p = 0.03) and PAI(x) (p = 0.016) were associated with the presence of diabetic retinopathy. However, in the multivariate model, CIMT and CAI(x) did not remain predictors of retinopathy.
Conclusions: We have shown that the presence of retinopathy in type 1 diabetic patients is associated with subclinical atherosclerosis and wave reflection.
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http://dx.doi.org/10.3109/00365513.2011.593268 | DOI Listing |
Diabetol Metab Syndr
January 2025
Faculty of Medicine, Cairo University,Internal Medicine Diabetes and Endocrinology Department, Cairo, Egypt.
For patients considering bariatric surgery, it is essential to have clear answers to common questions to ensure the success of the procedure. Patients should understand that surgery is not a quick fix but a tool that must be complemented by lifestyle changes, including dietary adjustments and regular physical activity. The procedure carries potential risks that should be weighed against the potential benefits.
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Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the treatment of cardiometabolic diseases, extending their therapeutic applications far beyond glycemic control in type 2 diabetes (T2D) and obesity. This editorial synthesizes key milestones, from the discovery of GLP-1 to recent clinical trials highlighting the pleiotropic effects of GLP-1RAs in addressing the interconnected spectrum of cardiometabolic conditions, with a focus on cardiovascular, renal, and hepatic benefits. In addition, as GLP-1RAs continue to reshape the management of cardiometabolic disease and global public health, we discuss future challenges to better elucidate their mechanisms of cardiometabolic protection and maximize their therapeutic potential.
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January 2025
Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Background: The triglyceride‒glucose index (TyG index) is a reliable surrogate for insulin resistance (IR) in individuals with type 2 diabetes mellitus and is associated with cardiovascular disease. Recent studies have reported that H-type hypertension is likewise a predictor of adverse events in patients with coronary heart disease (CHD). However, the relationship between the TyG index and prognosis in patients with H-type hypertension combined with CHD has not yet been reported.
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Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Background: Lysinuric protein intolerance is a rare autosomal disorder caused by mutations in the Slc7a7 gene that lead to impaired transport of neutral and basic amino acids. The gold standard treatment for lysinuric protein intolerance involves a low-protein diet and citrulline supplementation. While this approach partially improves cationic amino acid plasma levels and alleviates some symptoms, long-term treatment is suggested to be detrimental and may lead to life-threatening complications characterized by a wide range of hematological and immunological abnormalities.
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January 2025
Computational Cardiovascular Science Group, Department of Computer Science, University of Oxford, Oxford, OX1 3QD, UK.
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