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Background: Advanced hybrid closed loop (AHCL) systems are the newest tool to improve metabolic control in type 1 diabetes (T1D). Long-term glycemic control of children and adolescents with T1D switching to MiniMed™ 780G in a real clinical setting was evaluated., Methods: Time in range (TIR) and in different glucose ranges, glycemic variability indexes, HbA1c and basal-bolus insulin distribution were evaluated in 44 subjects (mean age 14.2 ± 4.0 years, 22 males) during manual mode period, first 14 days (A14d) and first month after auto-mode activation (A1M), first 14 days after 3 months (A3M) and 6 months (A6M) in auto-mode., Results: Mean TIR at A14d was 76.3 ± 9.6% versus 69.3 ± 12.6% in manual mode (p < 0.001), and this improvement was maintained over 6 months. Subjects with TIR >70% and >80% in manual mode were 45% and 23%, respectively, and increased to 80% (p = 0.041) and 41% (p = 0.007) at A14d. Basal-bolus distribution changed in favor of bolus, and auto-correction boluses inversely correlated with TIR. HbA1c was 7.2 ± 0.7% (55 mmol/mol) at baseline and significantly improved after 3 months (6.7 ± 0.5%, 50 mmol/mol, p < 0.001) and 6 months (6.6 ± 0.5%, 49 mmol/mol, p < 0.001). TIR was higher in individuals >13 years at all time periods (p < 0.001). Glycemic target <120 mg/dl was associated with better TIR., Conclusions: AHCL MiniMed™ 780G allowed rapid and sustained improvement of glycemic control in young T1D patients, reaching recommended TIR. Teenagers showed good technology adherence with optimal TIR, maintained better over time compared to younger children. Stricter settings were associated with better metabolic control, without increase in severe hypoglycemia occurrence., (© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Two vaccines against SARS-CoV-2 are approved by the World Health Organization (WHO) for minors aged 12 years and over. Currently, people with both type 1 diabetes (T1D) and type 2 diabetes (T2D) are prioritized for vaccination., Objective: To evaluate possible glycemic control modification, insulin dose adjustment and adverse effects after COVID-19 vaccination in young T1D individuals, users of different technology levels., Methods: Thirty-nine T1D individuals, who received a whole vaccination cycle of either Moderna or Pfizer- BioNTech vaccines, were enrolled, 24 of whom using advanced hybrid closed loop systems (AHCLs) and 15 using intermittently scanned continuous glucose monitoring (isCGM). Symptoms after each dose and the following variables were considered: time in range 70-180 mg/dl (TIR), time in different glucose ranges, mean glucose levels, coefficient of variation (CV), total daily dose (TDD) and bolus proportion RESULTS: No significant differences in TIR, time in different glucose ranges, mean glucose levels, TDD, bolus proportion, were observed before and after any dose nor before and after the whole vaccination cycle. CV was significantly lower after the whole vaccination cycle (CV pre-vaccination 35.1 ± 6.9% vs. CV post-vaccination 33.5 ± 6.3%; p 0.031) in subjects treated by AHCLs. Side effects after the vaccination were mild and more frequent after the second dose. No severe adverse reactions were reported., Conclusions: COVID-19 vaccination was safe and not associated with significant perturbation of glycemic control in adolescents and young adults with T1D. This information could be of clinical use when counseling families about SARS-CoV-2 vaccination in young people with T1D., (© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Introduction: The accuracy of blood pressure (BP) measurement is a prerequisite for the reliable diagnosis and management of hypertension., Objectives: This survey evaluated the use of office and out-of-office BP measurements and the antihypertensive pharmacological treatment in expert pediatric diabetes centers., Methods: A questionnaire was distributed in 78 reference pediatric diabetes centers of the SWEET international consortium. The methodology, devices, indications, and interpretation of office BP measurements (OBPM), 24-hour ambulatory BP monitoring (ABPM) and home BP monitoring (HBPM), and the preference for antihypertensive drug treatment was assessed. A grading score was developed to evaluate centers for overall BP measurement performance., Results: Fifty-two centers responded. The average score for OBPM methodology was 72.5%, for technology 77.5% and the overall center score was 74.75%.The majority of the centers used appropriate methodology and technology, however, there was heterogeneity among them. Manual auscultatory or automated devices specifically validated for children were used by 26/52 centers. ABPM was recommended by 35/52 centers (27/35 had health insurance coverage) and HBPM by 18/52 centers. The BP measurement methodology and devices used for ABPM and HBPM were frequently inadequate. Angiotensin converting enzyme inhibitors were the most frequently prescribed drugs for treating hypertension., Conclusions: The majority of SWEET pediatric diabetes centers use adequate methodology and devices for BP measurement. ABPM is recommended by two thirds of the centers, whereas HBPM is less widely used. Further improvement in the quality of office and out-of-office BP measurements and harmonization among centers is necessary according to current guidelines., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: To establish whether diabetic ketoacidosis (DKA) or HbA1c at onset is associated with year-three HbA1c in children with type 1 diabetes (T1D)., Methods: Children with T1D from the SWEET registry, diagnosed <18 years, with documented clinical presentation, HbA1c at onset and follow-up were included. Participants were categorized according to T1D onset: (a) DKA (DKA with coma, DKA without coma, no DKA); (b) HbA1c at onset (low [<10%], medium [10 to <12%], high [≥12%]). To adjust for demographics, linear regression was applied with interaction terms for DKA and HbA1c at onset groups (adjusted means with 95% CI). Association between year-three HbA1c and both HbA1c and presentation at onset was analyzed (Vuong test)., Results: Among 1420 children (54% males; median age at onset 9.1 years [Q1;Q3: 5.8;12.2]), 6% of children experienced DKA with coma, 37% DKA without coma, and 57% no DKA. Year-three HbA1c was lower in the low compared to high HbA1c at onset group, both in the DKA without coma (7.1% [6.8;7.4] vs 7.6% [7.5;7.8], P = .03) and in the no DKA group (7.4% [7.2;7.5] vs 7.8% [7.6;7.9], P = .01), without differences between low and medium HbA1c at onset groups. Year-three HbA1c did not differ among HbA1c at onset groups in the DKA with coma group. HbA1c at onset as an explanatory variable was more closely associated with year-three HbA1c compared to presentation at onset groups (P = .02)., Conclusions: Year-three HbA1c is more closely related to HbA1c than to DKA at onset; earlier hyperglycemia detection might be crucial to improving year-three HbA1c., (© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: To describe the association between height, demographics, and treatment in youths with type 1 diabetes participating in an international network for pediatric diabetes centers (SWEET)., Methods: Data were collected from 55 centers with documented patients' height. All subjects below 20 years of age, diabetes duration >1 year, and without celiac disease were included. World Health Organization growth charts were used to calculate height and body mass index z-scores. Multiple hierarchic regression models adjusting for known confounders were applied., Results: Data on 22 941 subjects (51.8% male) were analyzed with a median and interquartile range for age 14.8 years (11.2, 17.6), diabetes duration 5.6 years (3.1, 8.9), and height z-score 0.34 (-0.37, 1.03). Children were taller in the youngest age groups: adjusted height z-scores of 0.31 (±0.06) and 0.39 (±0.06), respectively; with shorter diabetes duration (<2 years: 0.36 [±0.06]; 2-<5 years: 0.34 [±0.06]; ≥5 years: 0.21 [±0.06]) and if they were pump users: 0.35 ± 0.05 vs 0.25 ± 0.05 (>three injections/day and 0.19 ± 0.06 [0-3 injections daily]), respectively. High hemoglobin A1c (HbA1c) and low to normal weight were associated with a lower height z-score. Trends were identical in all models except for gender. No gender differences were found except in the final height model where females exhibited higher z-score than males., Conclusion: For youths treated at centers offering modern diabetes management, major growth disturbances are virtually eliminated. For children with a young age at onset, high HbA1c, injections, and/or non-intensive diabetes, treatment still requires attention in order to attain normal growth., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background/objective: It is known that patients with diabetes can develop limited joint mobility (LJM) and that this can depend on the metabolic control maintained and the duration of the disease. The aims of this study were to verify the presence of ankle joint mobility (AJM) deficits in both plantar and dorsiflexion in young type 1 diabetic patients (T1D) considering also the possible role of sport practiced as a further factor, able to modify AJM., Methods: AJM was evaluated by an inclinometer in 82 T1D patients (M/F: 48/34), mean age 12.9 ± 2.6 years, body mass index (BMI) 19.7 ± 3.6 kg/m 2 , duration of diabetes 5.6 ± 3.3 years, mean HbA1c 7.5 ± 1.0% and in 226 healthy controls (M/F: 146/80), age-, gender-, and BMI-matched practicing different sports (soccer, volleyball, basketball, and dance)., Results: The patients' ankle range of motion was significantly lower than that in controls (132.7 ± 22.3° vs 126.1 ± 17.9°; P < .017). In particular, ankle plantar flexion was significantly lower in the patients group (31.6° ± 7.9° vs 28.5° ± 6.6°; P < .002). Soccer players showed lower AJM in both groups: patients (120.1 ± 15.9° vs 127.3 ± 18.1) and controls (119.4 ± 21.1° vs 142.0 ± 18.1; P < .0001) than subjects practicing other sports or who were sedentary. In both groups, patients and controls, age, sex, duration of disease, hemoglobin 1Ac, and BMI have not been shown to be correlated to the mobility assessed., Conclusions: The results of this study, in addition to confirming the negative effect of diabetes on AJM of young T1D patients, suggest that during these evaluations the sport-related effect should be considered because it can induce significant changes of AJM., (© 2018 The Authors. Pediatric Diabetes published by John Wiley & Sons Ltd.)

Background: Seasonality at the clinical onset of type 1 diabetes (T1D) has been suggested by different studies, however, the results are conflicting. This study aimed to evaluate the presence of seasonality at clinical onset of T1D based on the SWEET database comprising data from 32 different countries., Methods: The study cohort included 23 603 patients (52% males) recorded in the international multicenter SWEET database (48 centers), with T1D onset ≤20 years, year of onset between 1980 and 2015, gender, year and month of birth and T1D-diagnosis documented. Data were stratified according to four age groups (<5, 5-<10, 10-<15, 15-20 years) at T1D onset, the latitude of European center (Northern ≥50°N and Southern Europe <50°N) and the year of onset ≤ or >2009., Results: Analysis by month revealed significant seasonality with January being the month with the highest and June with the lowest percentage of incident cases (P < .001). Winter, early spring and late autumn months had higher percentage of incident cases compared with late spring and summer months. Stratification by age showed similar seasonality patterns in all four age groups (P ≤ .003 each), but not in children <24 months of age. There was no gender or latitude effect on seasonality pattern, however, the pattern differed by the year of onset (P < .001). Seasonality of diagnosis conformed to a sinusoidal model for all cases, females and males, age groups, northern and southern European countries., Conclusions: Seasonality at T1D clinical onset is documented by the large SWEET database with no gender or latitude (Europe only) effect except from the year of manifestation., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)