Aims: In this study, we aimed to analyze the possible change in Time In Range (TIR) in subjects with type 1 diabetes (T1D) using the Ambulatory Glucose Profile (AGP) and to identify the main socio-demographic and clinical predictors of sustained use. Methods: 143 youths wearing instant-scanning CGM received structured counseling on the AGP report interpretation, and who were able to use AGP at least every 14 days were enrolled in group A (n = 100), whereas no users were considered as group B (n = 43). Socio-demographic data at the enrollment, clinical data, and glucose metrics were collected at baseline and during quarterly consultations. Metabolic outcomes were evaluated during follow-up, and a comparison between groups A and B was performed. Results: In group A compared to group B, at 12 months, the percentage of sensor usage and TIR were higher (p = 0.04 and p = 0.02), and Time Above Range and HbA1c were lower (p = 0.0004, p < 0.0001, respectively). Multiple logistic regression analysis did not show a significant relationship between sustained AGP software usage and the variables analyzed. Conclusions: Systematic use of the AGP software was feasible and showed improved metabolic control in youths with T1D. This may be related to increased sensor usage and more informed decisions.

Glucose metrics improvement in youths with type 1 diabetes using the Ambulatory Glucose Profile report: A real-world study

Maines, Evelina;Pertile, Riccardo;Cauvin, Vittoria;Soffiati, Massimo;Franceschi, Roberto
2024-01-01

Abstract

Aims: In this study, we aimed to analyze the possible change in Time In Range (TIR) in subjects with type 1 diabetes (T1D) using the Ambulatory Glucose Profile (AGP) and to identify the main socio-demographic and clinical predictors of sustained use. Methods: 143 youths wearing instant-scanning CGM received structured counseling on the AGP report interpretation, and who were able to use AGP at least every 14 days were enrolled in group A (n = 100), whereas no users were considered as group B (n = 43). Socio-demographic data at the enrollment, clinical data, and glucose metrics were collected at baseline and during quarterly consultations. Metabolic outcomes were evaluated during follow-up, and a comparison between groups A and B was performed. Results: In group A compared to group B, at 12 months, the percentage of sensor usage and TIR were higher (p = 0.04 and p = 0.02), and Time Above Range and HbA1c were lower (p = 0.0004, p < 0.0001, respectively). Multiple logistic regression analysis did not show a significant relationship between sustained AGP software usage and the variables analyzed. Conclusions: Systematic use of the AGP software was feasible and showed improved metabolic control in youths with T1D. This may be related to increased sensor usage and more informed decisions.
2024
Ambulatory Glucose Profile Report
Children and Adolescents
Glucose metrics
Intermittently Scanned Continuous Glucose Monitoring
Type 1 Diabetes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1128907
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