The Impact of a Nutritional Intervention on Glycemic Control and Cardiovascular Risk Markers in Type 2 Diabetes.

INTRODUCTION: Nutritional management plays a crucial role in treating patients with type 2 diabetes (T2D), working to prevent and control the progression of chronic non-communicable diseases. OBJECTIVES: To evaluate the effects of individualized nutritional interventions on weight, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), fasting blood glucose (FBG), hemoglobin A1c (HbA1c), total cholesterol (TC), LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), triglycerides (TGs), systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR)} over 12 months and subsequently at follow-up (15 months). METHODS: This longitudinal experimental study (without randomization and blinding) enrolled 84 sedentary participants with T2D (both sexes, aged 18-80 years). They were divided into a control group of 40 participants who received only medical consultations, and an intervention group of 44 participants who received the same medical care along with a nutritional assessment. Consultations occurred quarterly from August 2020 to November 2022 (first-twelfth month), with six to nine patients per session. Subsequently, a follow-up was conducted from December 2022 to November 2023, during which the intervention group had only medical care (during the 12th-15th months). Personalized dietary planning was inspired by the Mediterranean/DASH diets adapted to Brazilian foods and socioeconomic cultures. STATISTICAL ANALYSIS: Normal variables were compared between groups for each time point and also within each group across different time points using a two-way ANOVA (repeated measures for intragroup) followed by the Sídák post hoc test. Non-normal variables were compared between groups for each time point using Kruskal-Wallis followed by the Dunn post hoc test, and within each group across different time points using Friedman followed by the Dunn post hoc test. Data with a Gaussian distribution were presented as mean ± standard deviation (SD), and data with a non-Gaussian distribution were presented as median ± interquartile range (IQR). For all cases, α < 0.05 and p < 0.05 were adopted. RESULTS: In the intervention group, significant reductions were observed between the first and twelfth month for all parameters (p < 0.05), (except for TC), along with an increase in HDL-C (p = 0.0105). Conversely, in the control group, there was a significant increase in HbA1c, weight, BMI, FBG, and WHR (p < 0.05) between the first and twelfth months. Regarding the comparison between groups, there was a significant difference for all analyzed parameters (p < 0.05) from the first to the twelfth month. In the follow-up, differences were also observed (p < 0.05), except for BMI (p > 0.05). CONCLUSION: The individualized nutritional intervention improved eating habits, anthropometric, biochemical, and cardiovascular markers in T2D over 12 months, with sustained results during follow-up. The dietary plan inspired by the Mediterranean and DASH diets demonstrated good adaptation to the Brazilian food culture and the patients' socioeconomic contexts. Consistent monitoring and personalized nutritional management are essential for optimizing long-term outcomes. However, more clinical trials are necessary in order to optimize the level of evidence for longitudinal interventions.

The efficacy and safety of GLP-1 receptor agonists in youth with type 2 diabetes: a meta-analysis.

BACKGROUND: Glucagon-like peptide 1 receptor agonists have been proven to be effective in adults with diabetes and children with obesity. However, children with type 2 diabetes constitute an underrepresented subpopulation with limited treatment options. This meta-analysis aimed to determine more precise estimates of the efficacy and safety of glucagon-like peptide-1 agonists in pediatric type 2 diabetes mellitus. METHODS: Three databases were searched (PubMed, Embase, and Cochrane Central Register of Controlled Trials) for trials published until the end of March 2024. The search indexing terms included 3 categories: [1] type 2 diabetes mellitus [2], youth, and [3] glucagon-like peptide-1 receptor agonist (GLP-1 RA). Randomized controlled trials in youth with type 2 diabetes (age ≤ 18 years) that assessed anthropometric and metabolic parameters were included. A total of 1119 nonduplicate studies were retrieved, and 137 full-text articles were screened. The data were analyzed using mean differences (MDs) with 95% CIs and odds ratios (ORs) with 95% CIs. For outcomes with low heterogeneity, a fixed-effects model was used. Otherwise, we applied a random effects model. Our outcomes were Hb1Ac, fasting blood glucose (FBG), blood pressure, weight, and side effects. RESULTS: Five studies comprehending 415 children and adolescents were included. On average, GLP-1 RA reduced HbA1c levels (-1.01%; 95% CI, -1.26 to -0.76), fasting blood glucose levels (-1.88 mmol/L; 95% CI, -2.51 to -1.26), and body weight (-1.6 kg; 95% CI, -2.83 to -0.36). No significant reductions in systolic blood pressure (MD -0.19 mmHg; 95% CI, -3.9 to 3.52 mmHg) or diastolic blood pressure (MD 0.3 mmHg; 95% CI, -2.33 to 2.93 mmHg) were observed. Despite a higher incidence of side effects, withdrawal rates from the studies remained low. CONCLUSIONS: Within this specific population, GLP-1 RAs exhibit a notable association with substantial reductions in HbA1c, FBG, and body weight. The administration of these medications is concurrent with an elevated incidence of side effects, which are predominantly gastrointestinal and tolerable. TRIAL REGISTRATION: PROSPERO identifier: CRD42023393020.

Pathophysiological effects of SARS-CoV-2 infection on the cardiovascular system and its clinical manifestations-a mini review.

Coronavirus disease 2019 (COVID-19) is a viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 may have a mild presentation, with few symptoms, or progress to a severe condition, characterized by generalized inflammation, systemic microvascular involvement, coagulopathy, and pulmonary and cardiovascular complications. Men present with more severe symptoms than women, especially men who are older and who present with comorbidities such as hypertension, diabetes mellitus, and a history of atherosclerotic diseases. Owing to its association with endothelial dysfunction, inflammation, thrombosis, and microvascular obstruction, SARS-CoV-2 infection can cause lesions in several organs, including the myocardium and the coronary arterial bed, which can result in clinical manifestations involving the cardiovascular system. In this mini review, we summarize the effects of SARS-CoV-2 infection on the cardiovascular system in both children and adults and characterize the various clinical manifestations associated with this disease.

The Role of Heart Rate Variability (HRV) in Different Hypertensive Syndromes.

Cardiac innervation by the parasympathetic nervous system (PNS) and the sympathetic nervous system (SNS) modulates the heart rate (HR) (chronotropic activity) and the contraction of the cardiac muscle (inotropic activity). The peripheral vasculature is controlled only by the SNS, which is responsible for peripheral vascular resistance. This also mediates the baroreceptor reflex (BR), which in turn mediates blood pressure (BP). Hypertension (HTN) and the autonomic nervous system (ANS) are closely related, such that derangements can lead to vasomotor impairments and several comorbidities, including obesity, hypertension, resistant hypertension, and chronic kidney disease. Autonomic dysfunction is also associated with functional and structural changes in target organs (heart, brain, kidneys, and blood vessels), increasing cardiovascular risk. Heart rate variability (HRV) is a method of assessing cardiac autonomic modulation. This tool has been used for clinical evaluation and to address the effect of therapeutic interventions. The present review aims (a) to approach the heart rate (HR) as a CV risk factor in hypertensive patients; (b) to analyze the heart rate variability (HRV) as a "tool" to estimate the individual risk stratum for Pre-HTN (P-HTN), Controlled-HTN (C-HTN), Resistant and Refractory HTN (R-HTN and Rf-HTN, respectively), and hypertensive patients with chronic renal disease (HTN+CKD).