Introduction: To evaluate time in tight range (TITR) 70–140 mg/dL (3.9–7.8 mmol/L), its correlation with standard continuous glucose monitoring (CGM) metrics and the clinical variables that possibly have a substantial impact on its value, in a large cohort of pediatric subjects using different treatment strategies. Materials and Methods: A total of 854 children and adolescents with type 1 diabetes were consecutively recruited in this real world, dual center, cross-sectional study. Participants were categorized into four treatment groups (multiple daily injections [MDI] + real-time CGM, MDI + intermittently scanned CGM, sensor augmented pump, and hybrid closed loop [HCL]). Demographical and clinical data, including CGM data, were collected and analyzed. Results: The overall study population exhibited an average TITR of 36.4% ± 12.8%. HCL users showed higher TITR levels compared to the other treatment groups ( P < 0.001). A time in range (TIR) cut-off value of 71.9% identified subjects achieving a TITR ≥50% (area under curve [AUC] 0.98; 95% confidence interval 0.97–0.99, P < 0.001), and a strong positive correlation between these two metrics was observed ( r = 0.95, P < 0.001). An increase in TIR of 1% was associated with 1.84 ( R ² Nagelkerke = 0.35, P < 0.001) increased likelihood of achieving TITR ≥50%. Use of HCL systems ( B = 7.78; P < 0.001), disease duration ( B = −0.26, P = 0.006), coefficient of variation ( B = −0.30, P = 0.004), and glycated hemoglobin ( B = −8.82; P < 0.001) emerged as significant predictors of TITR levels. Conclusions: Our study highlights that most children and adolescents with type 1 diabetes present TITR levels below 50%, except those using HCL. Tailored interventions and strategies should be implemented to increase TITR.

The immunopathogenesis of cow's milk protein allergy (CMPA) is based on different mechanisms related to immune recognition of protein epitopes, which are affected by industrial processing. The purpose of this WAO DRACMA paper is to: (i) give a comprehensive overview of milk protein allergens, (ii) to review their immunogenicity and allergenicity in the context of industrial processing, and (iii) to review the milk-related immune mechanisms triggering IgE-mediated immediate type hypersensitivity reactions, mixed reactions and non-IgE mediated hypersensitivities. The main cow's milk allergens - α-lactalbumin, β-lactoglobulin, serum albumin, caseins, bovine serum albumins, and others - may determine allergic reactions through a range of mechanisms. All marketed milk and milk products have undergone industrial processing that involves heating, filtration, and defatting. Milk processing results in structural changes of immunomodulatory proteins, leads to a loss of lipophilic compounds in the matrix, and hence to a higher allergenicity of industrially processed milk products. Thereby, the tolerogenic capacity of raw farm milk, associated with the whey proteins α-lactalbumin and β-lactoglobulin and their lipophilic ligands, is lost. The spectrum of immunopathogenic mechanisms underlying cow's milk allergy (CMA) is wide. Unprocessed, fresh cow's milk, like human breast milk, contains various tolerogenic factors that are impaired by industrial processing. Further studies focusing on the immunological consequences of milk processing are warranted to understand on a molecular basis to what extent processing procedures make single milk compounds into allergens.

Background: The year 2020 will be remembered as the “year of the COVID-19 pandemic”. The world population had to familiarize themselves with words as swabs, personal protective equipment, pandemic. To curb the wave of the pandemic, almost all the countries imposed self-isolation and social distancing. We conducted a web-based survey to investigate the behavioural responses during the quarantine due to the COVID-19 pandemic. Methods: Participants were 1860 youth aged 12–18 years attending lower secondary schools and upper secondary schools. Data were collected on demographic characteristics, lifestyle changes during the quarantine period, and the psychological impact of the lock-down on adolescents’ life. Results: Most adolescents experienced feelings of fear, discouragement, and anxiety which strongly affected the approach to their daily lifestyles. Most of the surveyed subjects reported having used this period to acquire new skills and to practice physical activities at home. The use of technology was predominant both for recreational activities and educational purposes. Conclusions: Despite the strong psychological impact of the quarantine, adolescents showed good levels of resilience. Technology played a crucial role during the quarantine for young subjects who have increased the daily use of technological devices to stay connected with the rest of the world.

OBJECTIVE: To investigate glucose metrics and identify potential predictors of the achievement of glycemic outcomes in children and adolescents during their first 12 months of MiniMed 780G use. RESEARCH DESIGN AND METHODS: This multicenter, longitudinal, real-world study recruited 368 children and adolescents with type 1 diabetes (T1D) starting SmartGuard technology between June 2020 and June 2022. Ambulatory glucose profile data were collected during a 15-day run-in period (baseline), 2 weeks after automatic mode activation, and every 3 months. The influence of covariates on glycemic outcomes after 1 year of MiniMed 780G use was assessed. RESULTS: After 15 days of automatic mode use, all glucose metrics improved compared with baseline (P < 0.001), except for time below range (P = 0.113) and coefficient of variation (P = 0.330). After 1 year, time in range (TIR) remained significantly higher than at baseline (75.3% vs. 62.8%, P < 0.001). The mean glycated hemoglobin (HbA1c) over the study duration was lower than the previous year (6.9 ± 0.6% vs. 7.4 ± 0.9%, P < 0.001). Time spent in tight range (70–140 mg/dL) was 51.1%, and the glycemia risk index was 27.6. Higher TIR levels were associated with a reduced number of automatic correction boluses (P < 0.001), fewer SmartGuard exits (P = 0.021), and longer time in automatic mode (P = 0.030). Individuals with baseline HbA1c >8% showed more relevant improvement in TIR levels (from 54.3% to 72.3%). CONCLUSIONS: Our study highlights the sustained effectiveness of MiniMed 780G among youth with T1D. Findings suggest that even children and adolescents with low therapeutic engagement may benefit from SmartGuard technology.

Background: A crucial aspect of the 2019 coronavirus disease (COVID-19) pandemic was the psychological impact on the population. Most countries issued restrictive laws to reduce community-based viral spread. Children and adolescents were forced to experience physical and social distancing. Subjects with chronic diseases, such as type 1 diabetes, were more vulnerable and at higher risk of developing psychological disorders. Methods: We conducted a web-based survey to investigate the behavioral responses during quarantine due to the COVID-19 outbreak in a cohort of pediatric patients with type 1 diabetes. Data were collected on demographic and clinical characteristics, lifestyle changes, and the impact of COVID-19 on the management of diabetes. Results: Two hundred four pediatric patients (aged 5–18 years) with type 1 diabetes completed the questionnaire. Interestingly, patients ≤12 years were significantly more influenced by the quarantine period in their approach to the disease than older patients. Conclusion: Although quarantine was a stressful psychological condition, our results showed that most children and adolescents with type 1 diabetes developed high levels of resilience and excellent coping skills by using technology in a proper way.