19-OR: Treatment and Outcomes in Paediatric Type 1 Diabetes across Countries with Different Gross Domestic Products—Results from the Sweet Initiative

Introduction and Objective: Treatment choices and outcomes for children with T1D vary by country, but the influence of economic wealth is not well studied. Aim: To evaluate this association using SWEET registry data Methods: A cross-sectional analysis of 54,285 individuals with T1D under 25 years, diagnosed for > 3 months, from 130 SWEET centers (2022-2023). Subjects were stratified by country GDP in four groups. Key variables included HbA1c, BMI, insulin dose, use of CGM, insulin pumps, and AID. Height and BMI z-scores followed WHO references. Regression models adjusted for age, diabetes duration, and sex. Results: Height z-scores were lowest in the low GDP group (-0.44) versus +0.24 to +0.50 in higher GDP groups. BMI z-scores increased from +0.04 in the low GDP group to +0.89 in the high GDP group (p < 0.001). Insulin requirements were highest in the low GDP group (0.93 U/kg) versus 0.75-0.79 U/kg in other groups (p < 0.001). CGM use rose from 36% in the low GDP group to 91% in the high GDP group, insulin pump use from 17% to 70%, and AID systems from 11% to 38% (all p < 0.001). HbA1c was highest in the low GDP group (8.7%) and lowest in the lower-middle group (7.5%), followed by 7.7% (upper-middle) and 8.1% (high GDP). DKA was most frequent in the high GDP group, while severe hypoglycemia was most common in the low GDP group (both p < 0.001). Conclusion: A strong association exists between GDP and nutritional status, technology use, and metabolic outcomes in pediatric T1D. Best metabolic control was in countries with lower-middle or upper-middle income. High-GDP countries showed poorer control, higher BMI, and more frequent DKA. These findings stress the need for better resource allocation in pediatric diabetes care. Disclosure C. Martinez Mateu: Other Relationship; Sanofi-Aventis Argentina. S.S. Gupta: None. R. Duperval: None. R.A. Thabet: None. D. Al-Abdulrazzaq: None. M. Pogajepec: None. O. Kaminska-Jackowiak: None. M.M. Cavalin: None. S. Munoz: None. C. Sanon: None. S. Sap: None. R.W. Holl: None. D. Pacaud: Research Support; Medtronic, Novo Nordisk, Eli Lilly and Company.

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Publication Details

Journal
Diabetes
Published
2025-06-13
DOI
https://doi.org/10.2337/db25-19-or
Primary Topic
Diabetes Management and Research
Type
article
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article

19-OR: Treatment and Outcomes in Paediatric Type 1 Diabetes across Countries with Different Gross Domestic Products—Results from the Sweet Initiative

Regina Duperval, Danièle Pacaud, REINHARD W. HOLL, Carolina Martínez Mateu et al.
Diabetes
Diabetes Management and Research
article

19-OR: Treatment and Outcomes in Paediatric Type 1 Diabetes across Countries with Different Gross Domestic Products—Results from the Sweet Initiative

Regina Duperval, Danièle Pacaud, REINHARD W. HOLL, Carolina Martínez Mateu, Silvia Solà-Muñoz, DALIA AL-ABDULRAZZAQ, Olga Kamińska-Jackowiak, Rasha Adel Thabet, SUNIL S. GUPTA, SWEET Study Group, Suzanne Sap, Catherine Sanon, MARIJA POGAJEPEC, MARINA M. CAVALIN
article en

Abstract

Introduction and Objective: Treatment choices and outcomes for children with T1D vary by country, but the influence of economic wealth is not well studied. Aim: To evaluate this association using SWEET registry data Methods: A cross-sectional analysis of 54,285 individuals with T1D under 25 years, diagnosed for > 3 months, from 130 SWEET centers (2022-2023). Subjects were stratified by country GDP in four groups. Key variables included HbA1c, BMI, insulin dose, use of CGM, insulin pumps, and AID. Height and BMI z-scores followed WHO references. Regression models adjusted for age, diabetes duration, and sex. Results: Height z-scores were lowest in the low GDP group (-0.44) versus +0.24 to +0.50 in higher GDP groups. BMI z-scores increased from +0.04 in the low GDP group to +0.89 in the high GDP group (p < 0.001). Insulin requirements were highest in the low GDP group (0.93 U/kg) versus 0.75-0.79 U/kg in other groups (p < 0.001). CGM use rose from 36% in the low GDP group to 91% in the high GDP group, insulin pump use from 17% to 70%, and AID systems from 11% to 38% (all p < 0.001). HbA1c was highest in the low GDP group (8.7%) and lowest in the lower-middle group (7.5%), followed by 7.7% (upper-middle) and 8.1% (high GDP). DKA was most frequent in the high GDP group, while severe hypoglycemia was most common in the low GDP group (both p < 0.001). Conclusion: A strong association exists between GDP and nutritional status, technology use, and metabolic outcomes in pediatric T1D. Best metabolic control was in countries with lower-middle or upper-middle income. High-GDP countries showed poorer control, higher BMI, and more frequent DKA. These findings stress the need for better resource allocation in pediatric diabetes care. Disclosure C. Martinez Mateu: Other Relationship; Sanofi-Aventis Argentina. S.S. Gupta: None. R. Duperval: None. R.A. Thabet: None. D. Al-Abdulrazzaq: None. M. Pogajepec: None. O. Kaminska-Jackowiak: None. M.M. Cavalin: None. S. Munoz: None. C. Sanon: None. S. Sap: None. R.W. Holl: None. D. Pacaud: Research Support; Medtronic, Novo Nordisk, Eli Lilly and Company.

DiabetesVol. 74(Supplement_1)
Openalex Percentile: Top 81%
Diabetes Management and Research
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