Alessandra Bosetti

Type 1 diabetes and celiac disease:The effects of gluten free diet on metabolic control

Type 1 diabetes mellitus is associated with celiac disease, with a prevalence that varies between 0.6% and 16.4%, according to different studies. After a diagnosis of celiac disease is confirmed by small bowel biopsy, patients are advised to commence a gluten-free diet (GFD). This dietary restriction may be particularly difficult for the child with diabetes, but in Europe (and in Italy) many food stores have targeted this section of the market with better labeling of products and more availability of specific GFD products. Treatment with a GFD in symptomatic patients has been shown to improve the symptoms, signs and complications of celiac disease. However, the effects of a GFD on diabetic control are less well established. Initial reports of improved hypoglycemic control were based on children who were diagnosed with celiac disease associated with malabsorption, but there have subsequently been reports of improvement in patients with type 1 diabetes with subclinical celiac disease. There are other studies reporting no effect, improved control and an improvement of hypoglycemic episodes. Moreover, in this review we wish to focus on low glycemic index foods, often suggested in people with type 1 diabetes, since they might reduce postprandial glycemic excursion and enhance long-term glycemic control. In contrast, GFD may be rich in high glycemic index foods that can increase the risk of obesity, insulin resistance and cardiovascular disease, worsening the metabolic control of the child with diabetes. Hence, it is important to evaluate the impact of a GFD on metabolic control, growth and nutritional status in children with type 1 diabetes.

Timing of bolus in children with type 1 diabetes using continuous subcutaneous insulin infusion (TiBoDi Study).

BACKGROUND Continuous subcutaneous insulin infusion is considered a safe and effective way to administer insulin in pediatric patients with type 1 diabetes, but achieving satisfactory and stable glycemic control is difficult. Several factors contribute to control, including fine-tuning the basal infusion rate and bolus timing. We evaluated the most effective timing of a pump-delivered, preprandial bolus in children with type 1 diabetes. METHODS We assessed the response of 30 children with type 1 diabetes to a standard meal after different timing of a bolus dose. RESULTS The glucose levels for 3 h after the meal were lower (i.e., closer to the therapeutic target of <140 mg/dL) when the bolus doses were administered 15 min or immediately before the meal, rather than after the meal. However, these differences were not statistically significant, except at the 1-h postprandial time point: bolus just after meal, 177 +/- 71 mg/dL (9.83 +/- 3.94 mmol/L); 15 min before meal, 136 +/- 52 mg/dL (7.55 +/- 2.89 mmol/L) (P = 0.044); and just before meal, 130 +/- 54 mg/dL (7.22 +/- 3.00 mmol/L) (P = 0.024). The area under the curve (AUC) (in mg/min) did not differ significantly with different bolus times, but the SD of the AUC was the lowest with the bolus given 15 min before the meal. CONCLUSIONS These data support injection of the bolus before, rather than after, eating, even if the patient is hypoglycemic before meals.

Carbohydrate counting with an automated bolus calculator helps to improve glycaemic control in children with type 1 diabetes using multiple daily injection therapy: An 18-month observational study

AIMS This study aimed to investigate the effect of carbohydrate counting (carbC), with or without an automated bolus calculator (ABC), in children with type 1 diabetes treated with multiple daily insulin injections. METHODS We evaluated 85 children, aged 9-16 years, with type 1 diabetes, divided into four groups: controls (n=23), experienced carbC (n=19), experienced carbC+ABC (n=18) and non-experienced carbC+ABC (n=25). Glycated haemoglobin (HbA1c), insulin use, and glycaemic variability - evaluated as high blood glucose index (HBGI) and low blood glucose index (LBGI) - were assessed at baseline and after 6 and 18 months. RESULTS At baseline, age, disease duration, BMI, HbA1c, insulin use, and HBGI (but not LBGI; p=0.020) were similar for all groups. After 6 months, HbA1c improved from baseline, although not significantly - patients using ABC (according to manufacturers recommendations) HbA1c 7.14 ± 0.41% at 6 months vs. 7.35 ± 0.53% at baseline, (p=0.136) or without carbC experience HbA1c 7.61±0.62% vs. 7.95 ± 0.99% (p=0.063). Patients using ABC had a better HBGI (p=0.001) and a slightly worse LBGI (p=0.010) than those not using ABC. ABC settings were then personalised. At 18 months, further improvements in HbA1c were seen in children using the ABC, especially in the non-experienced carbC group (-0.42% from baseline; p=0.018). CONCLUSIONS CarbC helped to improve glycaemic control in children with type 1 diabetes using multiple daily injections. ABC use led to greater improvements in HbA1c, HBGI and LBGI compared with patients using only carbC, regardless of experience with carbC.

Alpha-Lipoic Acid and Antioxidant Diet Help to Improve Endothelial Dysfunction in Adolescents with Type 1 Diabetes: A Pilot Trial

After evaluating the prevalence of early endothelial dysfunction, as measured by means of reactive hyperemia in adolescents with type 1 diabetes, we started a 6-month, double-blind, randomized trial to test the efficacy of an antioxidant diet (± alpha-lipoic acid supplementation) to improve endothelial dysfunction. Seventy-one children and adolescents, ages 17 ± 3.9 yrs, with type 1 diabetes since 9.5 ± 5.3 yrs, using intensified insulin therapy, were randomized into 3 arms: (a) antioxidant diet 10.000 ORAC + alpha-lipoic acid; (b) antioxidant diet 10.000 ORAC + placebo; (c) controls. BMI, blood pressure, fasting lipid profile, HbA1c, insulin requirement, dietary habits, and body composition were determined in each patient. An antioxidant diet significantly improved endothelial dysfunction when supplemented with alpha-lipoic acid, unlike diet with placebo or controls. A significant reduction in bolus insulin was also observed. We speculate that alpha-lipoic acid might have an antioxidant effect in pediatric diabetes patients by reducing insulin.

Adolescents and young adults with type 1 diabetes display a high prevalence of endothelial dysfunction

Little is known about endothelial function in adolescents with type 1 diabetes, and we evaluated endothelial dysfunction, using reactive hyperaemia peripheral arterial tonometry (RH‐PAT).

Effects of a multidisciplinary weight loss intervention in overweight and obese children and adolescents: 11 years of experience

Aims To evaluate the effects of an outpatient multidisciplinary weight loss intervention in reducing body mass index (BMI) in children and adolescents suffering overweight and obesity, changes in A Body Shape Index (ABSI, waist circumference normalized to height and weight) and Hip Index (HI, normalized hip circumference) during treatment and correlation between the ABSI and HI with change in BMI z score. Methods We analyze anthropometric data from pediatric patients affected by overweight and obesity aged 2 to 18 years old who entered our multidisciplinary weight loss intervention, which included medical, psychological and nutritional sessions, from January 1st 2006 to December 31st 2016. Lifestyle modification counselling was delivered. Follow-up visits were planned every month for 3 months and subsequently every 2–4 months. BMI, ABSI, and HI were converted to z scores using age and sex specific population normals. Results 864 patients entered our intervention. 453 patients (208 males), mean age 11.2 ±3.1 years, 392 with obesity (86%, z-BMI 2.90 ±0.80 SD) and 61 patients with overweight (z-BMI 1.73±0.21 SD) attended at least 1 follow-up visit. The mean number of visits was 3.5 (± 1.8 SD) in overweight subjects and 3.9 (±2.2 SD) in ones with obesity. At the last attended follow-up visit (at 16 ± 12 months SD) we observed a reduction in mean z-BMI in patients with obesity (to 2.52 ±0.71 SD) and patients with overweight (to 1.46 ±0.5 SD). Most patients (80.8%) reduced their BMI z scores. Mean ABSI and HI z scores showed no significant change. 78/392 patients (19.8%) recovered from obese to overweight, 5/392 (1.2%) from obese to normal weight. The recovery rate from overweight to normal weight was 13.1%. In a multivariate model, initial BMI z score and number of follow-up visits were significant predictors of weight change, while age, sex, ABSI, and HI were not significant predictors. Conclusions Patients affected by overweight and obesity involved in a multidisciplinary weight loss intervention reduced their mean BMI z score, while ABSI and HI were stable. Weight loss was not predicted by initial ABSI or HI. More visits predict more weight loss, but dropout rates are high. The great majority of patients leave the weight management program before having normalized their BMI.

The association between a body shape index and cardiovascular risk in overweight and obese children and adolescents

A Body Shape Index (ABSI) and normalized hip circumference (Hip Index, HI) have been recently shown to be strong risk factors for mortality and for cardiovascular disease in adults. We conducted an observational cross-sectional study to evaluate the relationship between ABSI, HI and cardiometabolic risk factors and obesity-related comorbidities in overweight and obese children and adolescents aged 2–18 years. We performed multivariate linear and logistic regression analyses with BMI, ABSI, and HI age and sex normalized z scores as predictors to examine the association with cardiometabolic risk markers (systolic and diastolic blood pressure, fasting glucose and insulin, total cholesterol and its components, transaminases, fat mass % detected by bioelectrical impedance analysis) and obesity-related conditions (including hepatic steatosis and metabolic syndrome). We recruited 217 patients (114 males), mean age 11.3 years. Multivariate linear regression showed a significant association of ABSI z score with 10 out of 15 risk markers expressed as continuous variables, while BMI z score showed a significant correlation with 9 and HI only with 1. In multivariate logistic regression to predict occurrence of obesity-related conditions and above-threshold values of risk factors, BMI z score was significantly correlated to 7 out of 12, ABSI to 5, and HI to 1. Overall, ABSI is an independent anthropometric index that was significantly associated with cardiometabolic risk markers in a pediatric population affected by overweight and obesity.

Performance of the Flash Glucose Monitoring System during Exercise in Youth with Type 1 Diabetes

AIM Metabolic changes during exercise may affect the accuracy of glucose sensors impacting on Type 1 diabetes (T1D) management. The present study aimed at assessing the performance of the Flash Glucose Monitoring system (isCGM) during exercise and in free-living condition in youth with T1D. METHODS Seventeen youth (53% male), aged 13.7 ± 3.8 years, with T1D for 5.4 ± 3.8 years, HbA1c 7.4 ± 1.0% (57 ± 11 mmol/mol), were enrolled. Paired isCGM, plasma (PG) and capillary (CG) glucose values (total of 136) were collected during an interval exercise (45 min at 55% VO2max load with 20 s sprints at 80% VO2max every 10 min). Paired isCGM and CG (total of 832) were collected during free-living condition. RESULTS During exercise, isCGM absolute relative difference (ARDs) means/medians were 12.5/9.4% versus PG and 15.4/10.8% versus CG. During rest, ARDs means/medians were 16.6/12.0%. The Consensus Error Grid analysis showed 98.4% of readings during exercise and 97.24% during rest in zones A + B. Percentage of readings meeting the ISO criteria for CG levels <5.55 mmol/L was 62.5% during exercise, 53.4% during rest; for CG levels ≥5.55 mmol/L was 64.0% during exercise, 60.4% during rest. CONCLUSIONS isCGM demonstrated similar clinical safety and performance during exercise and in everyday life; further studies are needed to confirm its accuracy during exercise.

Resting energy expenditure in children with cerebral palsy: Accuracy of available prediction formulae and development of a population-specific formula

BACKGROUND AND AIMS Energy requirements are difficult to estimate in children with cerebral palsy (CP). Resting energy expenditure (REE), necessary for personalized nutritional intervention, is most commonly estimated using prediction formulae because the reference method, i.e. indirect calorimetry (IC), is not available in all Nutrition Units. The main aim of the present study was to evaluate the accuracy of the most commonly used REE prediction formulae in children with CP. The secondary aim was to develop a new population-specific formula for the estimation of REE in children with CP. METHODS REE was measured by IC in 54 children and adolescents with spastic quadriplegic cerebral palsy (SQCP) and estimated from the five most commonly used prediction formulae, i.e. the World Health Organization (WHO), Harris-Benedict, Schofield weight, Schofield weight & height, and Oxford formulae. RESULTS The mean (standard deviation, SD) difference between the estimated and measured REE was 64 (238) kcal/day for the WHO formula, 79 (226) kcal/day for the Schofield weight formula, 79 (223) kcal/day for the Schofield weight and height formula, 55 (226) kcal/day for the Oxford formula, 37 (224) kcal/day for the Harris-Benedict formula and 0 (213) kcal/day for the purposely developed population-specific formula. Owing to the large SD of the bias, none of these formulae can be reliably applied at the individual level to estimate REE. CONCLUSIONS The most commonly used REE prediction formulas are inaccurate at both the population and individual level in children with SQCP. A purposely developed population-specific formula, despite being accurate at the population level, does not perform better than the most commonly used REE formulae at the individual level.

Nutritional Aspects of Type 1 Diabetes: We Need to Keep Struggling Against Palaeolithic Diet (How Research Helps Us to Do the Right Thing)

For both type 1 and type 2 diabetes, eating healthy is key to blood glucose management [1]. Nowadays it is well recognised that, for each child and adolescent with type 1 diabetes, nutrition therapy is recommended. Implementation of an individualised meal plan with appropriate insulin adjustments can help to improve glycaemic control. The optimal macronutrient distribution varies depending on an individualised assessment [2].