IMPORTANCE: Advanced diabetes technologies such as continuous glucose monitoring (CGM), continuous subcutaneous insulin infusion (insulin pumps [CSII]), and glucometers alongside insulin access represent the criterion standard for managing type 1 diabetes (T1D) in children. Global disparities in their access and reimbursement may be associated with glycemic outcomes. OBJECTIVE: To describe how accessibility and reimbursement of advanced diabetes technologies and insulin are associated with glycated hemoglobin (HbA1c) levels in centers participating in the SWEET initiative, an international pediatric diabetes registry. DESIGN, SETTING, AND PARTICIPANTS: This global multicenter cross-sectional study collected data from 81 centers in 56 countries. Web-based questionnaires were distributed to representatives of all 121 pediatric diabetes centers participating in the SWEET initiative from March 1 to May 31, 2024, and used to map accessibility of and reimbursement for CGM, CSII, glucometers, and insulin. Reimbursement data were compared with HbA1c levels using the SWEET Study dataset. Participants included 42 349 children with T1D. EXPOSURES: Responses were categorized into 4 groups based on the extent of reimbursement for diabetes technologies and insulin. MAIN OUTCOMES AND MEASURES: Mean HbA1c levels across centers calculated from measurements current as of December 31, 2023, analyzed by categories of accessibility of and reimbursement for diabetes technologies and insulin. RESULTS: Data collected from 81 of 121 SWEET centers (67%) across 56 countries included HbA1c levels from 42 349 children with T1D (22 021 male [52%]; mean [SD] age, 14.3 [4.4] years; mean [SD] diabetes duration, 6.0 [4.2] years). Universal access with complete reimbursement for all technologies and insulin was reported by 32 centers from 19 countries, while 8 countries reported no reimbursement for any technologies or insulin. Centers with full reimbursement for CSII, CGM, glucometers, and insulin showed mean HbA1c levels of 7.62% (95% CI, 7.59%-7.64%) to 7.75% (95% CI, 7.73%-7.77%) compared with 9.65% (95% CI, 9.55%-9.71%) to 10.49% (95% CI, 10.40%-10.58%) in centers with no reimbursement and/or no availability (P < .001 for all items). CONCLUSIONS AND RELEVANCE: This cross-sectional study found that HbA1c levels were associated with the accessibility of modern diabetes technologies and insulin. Efforts to ensure universal accessibility are required to reduce global inequities and glycemic outcomes for children with T1D.

• MeSH
• Global Health MeSH
• Diabetes Mellitus, Type 1 * drug therapy   blood   MeSH
• Healthcare Disparities * statistics & numerical data   MeSH
• Child MeSH
• Health Services Accessibility * statistics & numerical data   MeSH
• Glycated Hemoglobin analysis   MeSH
• Hypoglycemic Agents * therapeutic use   MeSH
• Insulin * therapeutic use   economics   administration & dosage   MeSH
• Insulin Infusion Systems * economics   statistics & numerical data   MeSH
• Blood Glucose analysis   MeSH
• Humans MeSH
• Adolescent MeSH
• Cross-Sectional Studies MeSH
• Glycemic Control MeSH
• Blood Glucose Self-Monitoring economics   statistics & numerical data   MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Names of Substances
• Glycated Hemoglobin MeSH
• Hypoglycemic Agents * MeSH
• Insulin * MeSH
• Blood Glucose MeSH

OBJECTIVE: To compare parameters of glycemic control among three types of hybrid closed loop (HCL) systems in children with T1D (CwD) using population-wide data from the national pediatric diabetes registry ČENDA. METHODS: CwD aged <19 years treated with Medtronic MiniMed 780G (780G), Tandem t:slim X2 (Control-IQ) or do-it-yourself AndroidAPS (AAPS) systems for >12 months and monitored by CGM >70% of the time were included. HbA1c, times in glycemic ranges, and Glycemia Risk Index (GRI) were used for cross-sectional comparison between the HCL systems. RESULTS: Data from 512 CwD were analyzed. 780G, Control-IQ and AAPS were used by 217 (42.4%), 211 (41.2%), and 84 (16.4%) CwD, respectively. The lowest HbA1c value was observed in the AAPS group (44 mmol/mol; IQR 8.0, p<0.0001 vs any other group), followed by Control-IQ and 780G groups (48 (IQR 11) and 52 (IQR 10) mmol/mol, respectively). All of the systems met the recommended criteria for time in range (78% in AAPS, 76% in 780G, and 75% in Control-IQ users). CwD using AAPS spent significantly more time in hypoglycemia (5% vs 2% in 780G and 3% in Control-IQ) and scored the highest GRI (32, IQR 17). The lowest GRI (27, IQR 15) was seen in 780G users. CONCLUSION: Although all HCL systems proved effective in maintaining recommended long-term glycemic control, we observed differences that illustrate strengths and weaknesses of particular systems. Our findings could help in individualizing the choice of HCL systems.

• Keywords
• AndroidAPS, hybrid closed loop, pediatrics, registry, type 1 diabetes,
• MeSH
• Diabetes Mellitus, Type 1 * drug therapy   MeSH
• Child MeSH
• Glycated Hemoglobin MeSH
• Hypoglycemia * chemically induced   epidemiology   MeSH
• Insulin therapeutic use   MeSH
• Insulin Infusion Systems MeSH
• Blood Glucose MeSH
• Humans MeSH
• Cross-Sectional Studies MeSH
• Registries MeSH
• Blood Glucose Self-Monitoring MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH
• Names of Substances
• Glycated Hemoglobin MeSH
• Insulin MeSH
• Blood Glucose MeSH

AIMS/HYPOTHESIS: The proportion of children with type 1 diabetes (T1D) who have experience with low-carbohydrate diet (LCD) is unknown. Our goal was to map the frequency of LCD among children with T1D and to describe their clinical and laboratory data. METHODS: Caregivers of 1040 children with T1D from three centers were addressed with a structured questionnaire regarding the children's carbohydrate intake and experience with LCD (daily energy intake from carbohydrates below 26% of age-recommended values). The subjects currently on LCD were compared to a group of non-LCD respondents matched to age, T1D duration, sex, type and center of treatment. RESULTS: A total of 624/1040 (60%) of the subjects completed the survey. A total of 242/624 (39%) subjects reported experience with voluntary carbohydrate restriction with 36/624 (5.8%) subjects currently following the LCD. The LCD group had similar HbA1c (45 vs. 49.5, p = 0.11), lower average glycemia (7.0 vs. 7.9, p = 0.02), higher time in range (74 vs. 67%, p = 0.02), lower time in hyperglycemia >10 mmol/L (17 vs. 20%, p = 0.04), tendency to more time in hypoglycemia <3.9 mmol/L(8 vs. 5%, p = 0.05) and lower systolic blood pressure percentile (43 vs. 74, p = 0.03). The groups did not differ in their lipid profile nor in current body height, weight or BMI. The LCD was mostly initiated by the parents or the subjects themselves and only 39% of the families consulted their decision with the diabetologist. CONCLUSIONS/INTERPRETATION: Low carbohydrate diet is not scarce in children with T1D and is associated with modestly better disease control. At the same time, caution should be applied as it showed a tendency toward more frequent hypoglycemia.

• Keywords
• low-carbohydrate diet, time in range, type 1 diabetes,
• MeSH
• Diabetes Mellitus, Type 1 diet therapy   metabolism   MeSH
• Diet, Carbohydrate-Restricted * adverse effects   statistics & numerical data   MeSH
• Child MeSH
• Glycated Hemoglobin analysis   MeSH
• Body Mass Index MeSH
• Blood Glucose analysis   MeSH
• Humans MeSH
• Lipids blood   MeSH
• Surveys and Questionnaires MeSH
• Body Weight MeSH
• Body Height MeSH
• Check Tag
• Child MeSH
• Humans MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Names of Substances
• Glycated Hemoglobin A MeSH
• Blood Glucose MeSH
• Lipids MeSH