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Objective: To study worldwide differences in childhood diabetes, comparing relevant indicators among five regions within the SWEET initiative., Subjects: We investigated 26 726 individuals with type 1 diabetes (T1D) from 54 centers in the European region; 7768 individuals from 30 centers in the Asia/Middle East/Africa region; 2642 people from five centers in Australia/New Zealand; 10 839 individuals from seven centers in North America, and 1114 patients from five centers in South America., Methods: The SWEET database was analyzed based on the following inclusion criteria: T1D, time period 2015-2019, and age < 21 years, with analysis of the most recent documented year of therapy. For the statistical analysis, we used multivariable linear and logistic regression models to adjust for age (<6 years, 6- < 12 years, 12- < 18 years, 18- < 21 years), gender, and duration of diabetes (<2 years, 2- < 5 years, 5- < 10 years, ≥10 years)., Results: Adjusted HbA1c means ranged from 7.8% (95%-confidence interval: 7.6-8.1) in Europe to 9.5% (9.2-9.8) in Asia/Middle East/Africa. Mean daily insulin dose ranged from 0.8 units/kg in Europe (0.7-0.8) and Australia/New Zealand (0.6-0.9) to 1.0 unit/kg 0.9-1.1) in Asia/Middle East/Africa. Percentage of pump use was highest in North America (80.7% [79.8-81.6]) and lowest in South America (4.2% [3.2-5.6]). Significant differences between the five regions were also observed with regards to body mass index SD scores, frequency of blood glucose monitoring and presence of severe hypoglycaemia., Conclusions: We found significant heterogeneity in diabetes care and outcomes across the five regions. The aim of optimal care for each child remains a challenge., (© 2020 The Authors. Pediatric Diabetes 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.)

Diabetes affects many children living in developing countries. Through an informal survey, five SWEET (Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference) centers from developing countries (Mali, Costa Rica, Argentina and two from India) share their perspective on caring for children with diabetes. Each center provides a description of the population of children with diabetes they serve, the organization of care, and the challenges encountered on a daily basis in the provision of this care. In the second part, we summarize the anticipated benefits and challenges associated with participation in SWEET. This resulting article is a testimony of the reality of managing diabetes by dynamic teams striving to achieve recommended standards of care for pediatric diabetes in an environment with limited resources., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Aim: Despite the existence of evidence-based guidelines for the care of children with diabetes, widespread gaps in knowledge, attitude, and practice remain. The purpose of this paper is to present a review of benchmarking practices and results of this process within SWEET, moreover focusing on current challenges and future directions., Methods: Biannually, members electronically transfer de-identified clinic data for 37 parameters to the SWEET database. Each center receives benchmarking and data validation reports., Results: In 2015, 48 centers have contributed data for 20 165 unique patients (51.6% male). After exclusion for missing data 19 131 patients remain for further analysis. The median age is 14.2 years, with a median diabetes duration 4.8 years; 96.0% of patients have type 1, 1.1% type 2, and 2.9% other diabetes types. Data completeness has increased over time. In 2015, median HbA1c of all patients' (diabetes type 1) medians was 7.8% (61.7 mmol/mol) with 39.1%, 41.4%, and 19.4% of patients having HbA1c < 7.5% (58 mmol/mol), 7.5%-9% (58-75 mmol/mol) and >9% (75 mmol/mol), respectively. Although HbA1c has been stable over time [7.7%-7.8% (60.7-61.7 mmol/mol)], there remains wide variation between centers. Fourteen centers achieve a median HbA1c <7.5% (58 mmol/mol)., Conclusions: Our vision is that the participation in SWEET is encouraging members to deliver increasingly accurate and complete data. Dissemination of results and prospective projects serve as further motivation to improve data reporting. Comparing processes and outcomes will help members identify weaknesses and introduce innovative solutions, resulting in improved and more uniform care for patients with diabetes., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)