Effectiveness of a two-component nutritional strategy for blood pressure control in individuals with hypertension users of a public health system: a randomized controlled clinical trial.

OBJECTIVE: To evaluate the effectiveness of a nutritional strategy based on two components and adapted for the public health system on blood pressure, cardiometabolic features, self-care, qualify of life and diet quality in individuals with hypertension. METHODS: NUPRESS was an open-label, parallel-group, superiority randomized controlled clinical trial in which participants at least 21 years with hypertension and poorly controlled blood pressure were randomly assigned (1 : 1 allocation ratio) to either an individualized dietary prescription according to nutritional guidelines (control group, n  = 205); or a two-component nutrition strategy, including a goal-directed nutritional counseling and mindfulness techniques (NUPRESS [intervention] group, n  = 205). Primary outcomes were SBP (mmHg) after 24 weeks of follow up and blood pressure control, defined as either having SBP more than 140 mmHg at baseline and achieving 140 mmHg or less after follow-up or having SBP 140 mmHg or less at baseline and reducing the frequency of antihypertensive drugs in use after follow-up. RESULTS: In total, 410 participants were randomized and submitted to an intention-to-treat analysis regarding primary outcomes. Both groups decreased blood pressure, but after adjusting for baseline values, there was no significant difference between them on SBP [intervention-control difference: -0.03 (-3.01; 2.94); P  = 0.98] nor blood pressure control [odds ratio 1.27 (0.82; 1.97); P  = 0.28]. No differences between groups were also detected regarding secondary and tertiary outcomes. CONCLUSION: There was no difference between a two-component nutritional strategy and an established dietary intervention on blood pressure in participants with hypertension.

Food intake, plasma copeptin and cardiovascular risk in patients with type 2 diabetes: A cross-sectional analysis.

BACKGROUND AND AIM: Increased consumption of ultra-processed foods has been linked to both mortality and cardiovascular risk. Copeptin levels may serve as potential risk markers for cardiovascular death and events. This cross-sectional analysis seeks to assess the potential correlation between the intake of ultra-processed foods and copeptin levels in outpatients diagnosed with type 2 diabetes, based on estimates of cardiovascular risk. METHODS AND RESULTS: Outpatients underwent clinical and nutritional assessments. Dietary information was gathered using a validated quantitative food frequency questionnaire, and the consumption of all foods, beverages, and food products was assessed according to the NOVA food classification system. Fasting plasma-EDTA samples were collected and preserved at -80 °C. Plasma copeptin measurements were analyzed using an enzyme-linked immunosorbent assay based on the competition principle. Participants were categorized into two groups: high risk and very high risk, based on cardiovascular risk calculated by the HEARTS calculator. A total of 190 participants were included in the evaluation, with an average age of 60 ± 9 years, glycated hemoglobin of 8.4 ± 1.4%, and a diabetes duration of 11 (5-19) years. Patients at a very high cardiovascular risk exhibited higher plasma copeptin levels compared to those at high cardiovascular risk. Notably, 92.1% of patients reported consuming more than 10% of total energy intake from ultra-processed foods, although this proportion did not differ between the two groups. CONCLUSION: This patient sample reported elevated consumption of ultra-processed foods; nevertheless, the correlation between ultra-processed foods and plasma copeptin has not been substantiated.

Association of specialized enteral nutrition with glycemic control and clinical outcomes in critically ill patients: A meta-analysis of randomized controlled trials.

OBJECTIVE: To evaluate the association of glycemic-control formulae (GCF) with measurements of glycemic control and clinical outcomes compared to standard enteral formulae (SF) in critically ill patients. DATA SOURCES: MEDLINE, EMBASE, Scopus and the Cochrane Central Register of Controlled Trials were searched from inception up to January, 2021. STUDY SELECTION: RCTs that assessed the effects of GCF relative to SF in adult critically ill patients. DATA EXTRACTION: Measurements of glycemic control were the primary outcomes. Secondary outcomes included insulin requirements, mechanical ventilation (MV), length of intensive care unit (ICU) stay and mortality. Two authors independently extracted data and assessed risk of bias using the Cochrane's RoB 2 tool and the GRADE approach was used to assess the quality of evidence. DATA SYNTHESIS: Ten studies (12 reports, 685 patients) were included. The use of GCFs was associated with lower blood glucose (WMD, -16.06 mg/dL; 95% CI -23.48 to -8.63; I2 = 47%) and lower daily administered insulin (WMD, -7.20 IU; 95% CI -13.92 to -0.48; I2 = 53%). Glycemic variability, measured by the coefficient of variation, was also associated with the use of GCFs (WMD, -6.84%; 95% CI, -13.57 to -0.11; I2 = 95%). In contrast, analyses for length of ICU stay (WMD, -0.12, 95% CI -1.77 to 1.52; I2 = 0%), duration of MV (WMD, -0.34 days; 95% CI, -1.72 to 1.04; I2 = 0%) and mortality (RR, 1.13; 95% CI 0.82 to 1.56; I2 = 0%) were not statistically significant. Quality of evidence ranged from low to very low, and only one study was judged as at low risk of bias. CONCLUSIONS: In this meta-analysis, GCFs were significantly associated with lower insulin requirements and improved glycemic control. Although results for clinical outcomes were not statistically significant, there is insufficient evidence to confirm or exclude important differences due to serious imprecision in the effect estimates and overall low quality of evidence. The effects of GCFs on clinical outcomes require confirmation in larger randomized trials.

Diet Quality and Glycemic Control in Patients with Type 2 Diabetes.

BACKGROUND: The overall diet quality of individuals and populations can be assessed by dietary indexes based on information from food surveys. Few studies have evaluated the diet quality of individuals with type 2 diabetes or its potential associations with glycemic control. OBJECTIVE: To evaluate the relationship between diet quality and glycemic control. DESIGN: Cross-sectional study with consecutive enrollment from 2013 to 2016. PARTICIPANTS: Outpatients with type 2 diabetes treated at a university hospital in southern Brazil. MAIN OUTCOME MEASURES: Dietary information was obtained by a quantitative food frequency questionnaire validated for patients with diabetes. Overall diet quality was evaluated by the Healthy Eating Index 2010. Glycemic control was assessed by fasting plasma glucose and glycated hemoglobin. STATISTICAL ANALYSES: A receiver operating characteristic curve was constructed to find the optimal Healthy Eating Index cutoff point to discriminate diet quality, considering good glycemic control as glycated hemoglobin level <7%. Patients were then classified as having lower vs higher diet quality, and the two groups were compared statistically. Logistic regression models were constructed with glycated hemoglobin level ≥7% as the dependent variable, adjusted for age, current smoking, diabetes duration and treatment, physical activity, body mass index, high-density lipoprotein cholesterol level, and energy intake. RESULTS: A total of 229 patients with type 2 diabetes (median age=63.0 years [interquartile range=58.0 to 68.5 years]; diabetes duration=10.0 years [interquartile range=5 to 19 years]; body mass index 30.8±4.3; and glycated hemoglobin=8.1% [interquartile range=6.9% to 9.7%]) were evaluated. A Healthy Eating Index score >65% yielded the best properties (area under the receiver operator characteristic curve=0.60; sensitivity=71.2%; specificity=52.1%; P=0.018). Patients with lower-quality diets were younger and more likely to be current smokers than patients with higher-quality diets. After adjusting for confounders, patients with lower-quality diets had nearly threefold odds of poorer glycemic control (2.92; 95% CI 1.27 to 6.71; P=0.012) than those in the higher-quality diet group. CONCLUSIONS: Lower diet quality, defined as an Healthy Eating Index 2010 score <65%, was associated with poor glycemic control in this sample of outpatients with type 2 diabetes.

Plasma glucose and insulin responses after consumption of breakfasts with different sources of soluble fiber in type 2 diabetes patients: a randomized crossover clinical trial.

Background: The amount and quality of carbohydrates are important determinants of plasma glucose after meals. Regarding fiber content, it is unclear whether the intake of soluble fibers from foods or supplements has an equally beneficial effect on lowering postprandial glucose.Objective: The aim of our study was to compare the acute effect of soluble fiber intake from foods or supplements after a common meal on postprandial plasma glucose and plasma insulin in patients with type 2 diabetes (T2D).Design: A randomized crossover clinical trial was conducted in patients with T2D. Patients consumed isocaloric breakfasts (mean ± SD: 369.8 ± 9.4 kcal) with high amounts of fiber from diet food sources (total fiber: 9.7 g; soluble fiber: 5.4 g), high amounts of soluble fiber from guar gum supplement (total fiber: 9.1 g; soluble fiber: 5.4 g), and normal amounts of fiber (total fiber: 2.4 g; soluble fiber: 0.8 g). Primary outcomes were postprandial plasma glucose and insulin (0-180 min). Data were analyzed by repeated measures ANOVA and post hoc Bonferroni test.Results: A total of 19 patients [aged 65.8 ± 7.3 y; median (IQR), 10 (5-9) y of T2D duration; glycated hemoglobin 7.0% ± 0.8%; body mass index (in kg/m2) 28.2 ± 2.9] completed 57 meal tests. After breakfast, the incremental area under the curve (iAUC) for plasma glucose [mg/dL · min; mean (95% CI)] did not differ between high fiber from diet (HFD) [7861 (6257, 9465)] and high fiber from supplement (HFS) [7847 (5605, 10,090)] (P = 1.00) and both were lower than usual fiber (UF) [9527 (7549, 11,504)] (P = 0.014 and P = 0.037, respectively). iAUCs [µIU/mL · min; mean (95% CI)] did not differ (P = 0.877): HFD [3781 (2513, 5050)], HFS [4006 (2711, 5302), and UF [4315 (3027, 5603)].Conclusions: Higher fiber intake was associated with lower postprandial glucose at breakfast, and the intake of soluble fiber from food and supplement had a similar effect in patients with T2D. This trial was registered at clinicaltrials.gov as NCT02204384.

Effect of dietary lipids on circulating adiponectin: a systematic review with meta-analysis of randomised controlled trials.

Different dietary interventions have been identified as potential modifiers of adiponectin concentrations, and they may be influenced by lipid intake. We identified studies investigating the effect of dietary lipids (type/amount) on adiponectin concentrations in a systematic review with meta-analysis. A literature search was conducted until July 2013 using databases such as Medline, Embase and Scopus (MeSH terms: 'adiponectin', 'dietary lipid', 'randomized controlled trials (RCT)'). Inclusion criteria were RCT in adults analysing adiponectin concentrations with modification of dietary lipids. Among the 4930 studies retrieved, fifty-three fulfilled the inclusion criteria and were grouped as follows: (1) total dietary lipid intake; (2) dietary/supplementary n-3 PUFA; (3) conjugated linoleic acid (CLA) supplementation; (4) other dietary lipid interventions. Diets with a low fat content in comparison to diets with a high-fat content were not associated with positive changes in adiponectin concentrations (twelve studies; pooled estimate of the difference in means: -0·04 (95% CI -0·82, 0·74) µg/ml). A modest increase in adiponectin concentrations with n-3 PUFA supplementation was observed (thirteen studies; 0·27 (95% CI 0·07, 0·47) µg/ml). Publication bias was found by using Egger's test (P= 0·01) and funnel plot asymmetry. In contrast, CLA supplementation reduced the circulating concentrations of adiponectin compared with unsaturated fat supplementation (seven studies; -0·74 (95% CI -1·38, -0·10) µg/ml). However, important sources of heterogeneity were found as revealed by the meta-regression analyses of both n-3 PUFA and CLA supplementation. Results of new RCT would be necessary to confirm these findings.

Fiber intake and glycemic control in patients with type 2 diabetes mellitus: a systematic review with meta-analysis of randomized controlled trials.

This systematic review with meta-analysis of randomized controlled trials (RCT) aimed to analyze the effect of fiber intake on glycemic control in patients with type 2 diabetes. Databases were searched up to November 2012 using the following medical subject headings: diabetes, fiber, and randomized controlled trial. Absolute changes in glycated hemoglobin and fasting plasma glucose were reported as differences between baseline and end-of-study measures. Pooled estimates were obtained using random-effects models. Of the 22,046 articles initially identified, 11 (13 comparisons; range of duration, 8-24 weeks) fulfilled the inclusion criteria, providing data from 605 patients. High-fiber diets, including diets with foods rich in fiber (up to 42.5 g/day; four studies) or supplements containing soluble fiber (up to 15.0 g/day; nine studies), reduced absolute values of glycated hemoglobin by 0.55% (95% CI -0.96 to -0.13) and fasting plasma glucose by 9.97 mg/dL (95% CI -18.16 to -1.78). In conclusion, increased fiber intake improved glycemic control, indicating it should be considered as an adjunctive tool in the treatment of patients with type 2 diabetes.

Effect of diet on adiponectin levels in blood.

Dietary management has been considered an alternative means of modulating adiponectin levels. The purpose of this review is to examine the scientific evidence regarding the effect of diet on adiponectin levels in blood. Clinical trials were selected from Medline until April 2010 using the following MeSH terms: adipokines OR adiponectin AND diet OR lifestyle. A total of 220 articles were identified in the initial search, and 52 studies utilizing three different methods of dietary management were included in the present review: low-calorie diets (n = 9 studies), modification of diet composition (n = 33), and diet plus exercise (n = 10). Daily intake of fish or omega-3 supplementation increased adiponectin levels by 14-60%. Weight loss achieved with a low-calorie diet plus exercise increased adiponectin levels in the range of 18-48%. A 60-115% increase in adiponectin levels was obtained with fiber supplementation. In conclusion, dietary management can be an effective therapeutic means of increasing adiponectin levels. Studies investigating different forms of adiponectin and changes in the types of adipose tissue are necessary in order to elucidate the mechanisms involved in the modulation of adiponectin levels.