RT journal article
T1 Glycemic Analysis and Stratification of Pediatric Patients with Type 1 Diabetes Using isCGM in Southern Spain: Insights from the Andiacare Digital Platform
A1 Leiva Gea, Isabel
A1 Moreno Jabato, Fernando
A1 Ariza Jiménez, Ana Belén
A1 Lendíne Jurado, Alfonso
A1 Gómez Perea, Ana
A1 Romero Pérez, María del Mar
A1 García García, Emilio
A1 Santos Mata, María Ángeles
A1 Martínez Moya, Gabriela
A1 Momblan, Jerónimo
A1 Lechuga Sancho, Alfonso María
A1 Gómez Vida, José María
A1 Mier Palacios, Merecedes
A1 Ranchal Pérez, María del Pilar
A1 Vivas González, Gustavo
A1 Calleja Cabeza, Patricia
A1 Fernández Hernández, Eugenio
A1 Jiménez Martín, Ana Pilar
A1 Guarino Narváez, Jessica
A1 Rodríguez de Vera-Gómez, Pablo
A1 Martinez Brocca, Maria Asuncion
A2 Medicina
K1 type 1 diabetes mellitus
K1 pediatric population
K1 advanced technologies and treatments for diabetes (AATD)
K1 continuous glucose monitoring (CGM)
K1 multiple daily injections of insulin (MDI)
K1 therapeutic scalability
K1 time in range (TIR)
AB Background/Objectives: Type 1 diabetes mellitus (T1D) is the most common metabolicdisorder in children, with significant physical and emotional impacts. Achieving optimalglucometric control is challenging due to the complex management and limitations ofinsulin therapy. Advances in pharmacology and technology, including continuous glucosemonitoring (CGM) systems, offer new options for diabetes management. We developed Andiacare,an open-source platform for macro/micro-management of diabetes and analyzedits application in a pediatric T1D cohort to evaluate glucometric control patterns. Methods:A retrospective cohort study was conducted in a pediatric population (<18 years old) inAndalusia, Spain. Patients treated with Multiple Daily Injections of Insulin (MDI) andFreeStyle Libre 2 System (Abbott, Spain) were included. The patient data were analyzedusing the Andiacare platform, which categorizes patients based on the Advanced Technologiesand Treatments for Diabetes (ATTD) panel’s targets for glucometric control. Results:The study included 2215 patients from 18 pediatric hospitals. The Andiacare platformcategorized patients into four groups based on glucometric control parameters, enablingpatient stratification based on their glucometric control. Only 25.8% of the cohort achievedthe recommended Time in Range (TIR), and 9.5% of the patients achieved all target parametersof glucometric control. Age is a determinant factor in adherence and achievement of setgoals. Conclusions: This study offers insights into glucometric control in a large pediatricpopulation with T1D in Andalusia. Few patients achieved the recommended glucometriccontrol targets, highlighting the need for improved management strategies. The use ofdigital platforms such as Andiacare might contribute to facilitating the management oflarge pediatric cohorts. New algorithms integrating glucometric and non-glucometricparameters are required for improved individual and cohort categorization to optimizetherapeutic interventions.
PB MDPI
SN 2077-0383
YR 2025
FD 2025-09-04
LK http://hdl.handle.net/10498/39030
UL http://hdl.handle.net/10498/39030
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026