%0 Journal Article 
%A Leiva Gea, Isabel
%A Moreno Jabato, Fernando
%A Ariza Jiménez, Ana Belén
%A Lendíne Jurado, Alfonso
%A Gómez Perea, Ana
%A Romero Pérez, María del Mar
%A García García, Emilio
%A Santos Mata, María Ángeles
%A Martínez Moya, Gabriela
%A Momblan, Jerónimo
%A Lechuga Sancho, Alfonso María
%A Gómez Vida, José María
%A Mier Palacios, Merecedes
%A Ranchal Pérez, María del Pilar
%A Vivas González, Gustavo
%A Calleja Cabeza, Patricia
%A Fernández Hernández, Eugenio
%A Jiménez Martín, Ana Pilar
%A Guarino Narváez, Jessica
%A Rodríguez de Vera-Gómez, Pablo
%A Martinez Brocca, Maria Asuncion
%T Glycemic Analysis and Stratification of Pediatric Patients with Type 1 Diabetes Using isCGM in Southern Spain: Insights from the Andiacare Digital Platform
%D 2025
%@ 2077-0383
%U http://hdl.handle.net/10498/39030
%X Background/Objectives: Type 1 diabetes mellitus (T1D) is the most common metabolic
disorder in children, with significant physical and emotional impacts. Achieving optimal
glucometric control is challenging due to the complex management and limitations of
insulin therapy. Advances in pharmacology and technology, including continuous glucose
monitoring (CGM) systems, offer new options for diabetes management. We developed Andiacare,
an open-source platform for macro/micro-management of diabetes and analyzed
its 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) in
Andalusia, Spain. Patients treated with Multiple Daily Injections of Insulin (MDI) and
FreeStyle Libre 2 System (Abbott, Spain) were included. The patient data were analyzed
using the Andiacare platform, which categorizes patients based on the Advanced Technologies
and Treatments for Diabetes (ATTD) panel’s targets for glucometric control. Results:
The study included 2215 patients from 18 pediatric hospitals. The Andiacare platform
categorized patients into four groups based on glucometric control parameters, enabling
patient stratification based on their glucometric control. Only 25.8% of the cohort achieved
the recommended Time in Range (TIR), and 9.5% of the patients achieved all target parameters
of glucometric control. Age is a determinant factor in adherence and achievement of set
goals. Conclusions: This study offers insights into glucometric control in a large pediatric
population with T1D in Andalusia. Few patients achieved the recommended glucometric
control targets, highlighting the need for improved management strategies. The use of
digital platforms such as Andiacare might contribute to facilitating the management of
large pediatric cohorts. New algorithms integrating glucometric and non-glucometric
parameters are required for improved individual and cohort categorization to optimize
therapeutic interventions.
%K type 1 diabetes mellitus
%K pediatric population
%K advanced technologies and treatments for diabetes (AATD)
%K continuous glucose monitoring (CGM)
%K multiple daily injections of insulin (MDI)
%K therapeutic scalability
%K time in range (TIR)
%~ Universidad de Cádiz