Determinants of Adherence to a Gluten-Free Diet in Children with Celiac Disease and the Influence of the Methods Used to Assess It.

Lifelong adherence to a gluten-free diet (GFD) is the cornerstone of management of celiac disease (CD), but adhering to a GFD can be hard. Although several factors are positively associated with adherence of pediatric CD patients to a GFD, it is unknown whether these are influenced by variability caused by the specific tool used to assess adherence to a GFD. Here, we aimed to evaluate how individual patient characteristics and dietary counselling by a trained dietitian influence adherence to a GFD in children with CD, as assessed by two validated questionnaires: the Biagi questionnaire and the Leffler short questionnaire adapted for pediatric patients. Some 139 children and adolescents were recruited in a cross-sectional, multicenter study. Concordance between the two questionnaires in defining adherence was fair (weighted Cohen's kappa coefficient 0.39, 95%CI 0.19-0.60). Upon regression analysis, having a cohabiting family member with CD, being of Italian origin, and receiving specialized dietary counselling during follow-up were found to positively influence stricter adherence to a GFD for children with CD. Neither questionnaire detected a significant relationship between adherence to a GFD and the presence of symptoms after gluten ingestion. This study provides important new data on the factors influencing GFD adherence in the pediatric population, and highlights the importance of dietician input and overcoming language and cultural barriers when educating patients.

Rethinking Carbohydrate Intake and Time in Range in Children and Adolescents with Type 1 Diabetes.

The aim of this study was to evaluate the association between macronutrient intake and time in range (TIR) of 70-180 mg/dL in children and adolescents with type 1 diabetes (T1D). A multi-center study recruited patients with T1D using continuous glucose monitoring (CGM) between January 2019 and January 2020 from centers across Italy. Diet intake was recorded using three-day weighed food diaries. Nutrients were evaluated as percentages of total intake. TIR was considered at target if the percentage of readings was higher than 70%. Clinical and nutritional factors associated with TIR at target were analyzed using multiple correspondence analysis and multiple logistic regression. Data from 197 participants (53% male, median age 11.6 years, median HbA1c 55.2 mmol/mol, median TIR 60%) were analyzed. Macronutrient intake was 45.9% carbohydrates, 16.9% protein, 37.3% fat, and 13.1 g/day fiber (median values). TIR > 70% was observed in 28% of participants; their diet contained more protein (17.6%, p = 0.015) and fiber (14.4 g/day, p = 0.031) than those not at target. The probability of having a TIR > 70% was significantly higher with 40-44% consumption of carbohydrates compared with 45-50% consumption of carbohydrates and with the use of a carbohydrate counting system. Based on these results, a five percent reduction in the percentage of carbohydrate intake can help children and adolescents with T1D achieve the goal of a TIR > 70%. Both a lower and higher percentage of carbohydrate intake appears to reduce the probability of reaching the target TIR > 70%. These results require validation in other populations before being used in clinical practice.

Effectiveness of a closed-loop control system and a virtual educational camp for children and adolescents with type 1 diabetes: A prospective, multicentre, real-life study.

AIM: To evaluate the impact of a virtual educational camp (vEC) on glucose control in children and adolescents with type 1 diabetes using a closed-loop control (CLC) system. MATERIALS AND METHODS: This was a prospective multicentre study of children and adolescents with type 1 diabetes using the Tandem Basal-IQ system. Insulin pumps were upgraded to Control-IQ, and children and their parents participated in a 3-day multidisciplinary vEC. Clinical data, glucose metrics and HbA1c were evaluated over the 12 weeks prior to the Control-IQ update and over the 12 weeks after the vEC. RESULTS: Forty-three children and adolescents (aged 7-16 years) with type 1 diabetes and their families participated in the vEC. The median percentage of time in target range (70-180 mg/dL; TIR) increased from 64% (interquartile range [IQR] 56%-73%) with Basal-IQ to 76% (IQR 71%-81%) with Control-IQ (P < .001). After the vEC, more than 75% of participants achieved a TIR of more than 70%. The percentage of time between 180 and 250 mg/dL and above 250 mg/dL decreased by 5% (P < .01) and 6% (P < .01), respectively, while the time between 70 and 54 mg/dL and below 54 mg/dL remained low and unaltered. HbA1c decreased by 0.5% (P < .01). There were no episodes of diabetic ketoacidosis or severe hypoglycaemia. CONCLUSIONS: In this study of children managing their diabetes in a real-world setting, more than 75% of children who participated in a vEC after starting a CLC system could obtain and maintain a TIR of more than 70%. The vEC was feasible and resulted in a significant and persistent improvement in TIR in children and adolescents with type 1 diabetes.

Tyrosine metabolism in health and disease: slow-release amino acids therapy improves tyrosine homeostasis in phenylketonuria.

OBJECTIVES: Phenylalanine (Phe) hydroxylase (PAH) deficiency leads to hyperphenylalaninemia (HPA) and tyrosine (Tyr) depletion. We investigated Tyr homeostasis in patients with PAH deficiency and the effect of a slow-release amino acids therapy in phenylketonuria (PKU). METHODS: We performed four complementary investigations: (1) Tyr concentrations were monitored in 114 patients (10.6 ± 11.9 years) with PKU on dietary treatment supplemented with traditional amino acid formulations (n=52, 1175 samples) or non-PKU HPA on a free diet (n=62, 430 samples); (2) Tyr metabolism in PKU was quantitatively evaluated in three patients by a simple Tyr oral loading test (100 mg/kg); (3) diurnal and (4) long-term Tyr concentrations were evaluated in 5 and 13 patients with PKU, respectively, who switched from traditional to slow-release amino acids therapy. RESULTS: 1) Tyr concentrations in the PKU population were subnormal and significantly lower than in non-PKU HPA (p<0.01); (2) the response to a Tyr loading test in PKU was normal, with basal Tyr concentrations reached within 12 h; (3) the diurnal metabolic profile in patients on slow-release amino acids therapy revealed higher morning fasting and nocturnal Tyr concentrations with respect to traditional therapy (p<0.01); (4) this picture was confirmed at follow-up, with normalization of morning fasting Tyr concentrations in patients on slow-release amino acids therapy (p<0.01) and unchanged Phe control (p=0.19). CONCLUSIONS: Slow-release amino acids therapy can improve Tyr homeostasis in PKU. If associated to optimized Phe control, such a metabolic goal may allow long-term clinical benefits in patients with PKU.