TY - JOUR
T1 - In press. How to take action beyond ambulatory glucose profile
T2 - Latin American expert recommendations on CGM data interpretation
AU - Calliari, Luis Eduardo
AU - Contreras Sepúlveda, Álvaro
AU - Coronel-Restrepo, Nicolás
AU - Kabakian, Laura
AU - Lamounier, Rodrigo N.
AU - Picasso, Emma
AU - Proietti, Adrian
AU - Ramírez-Rincón, Alex
AU - Yépez-Rodriguez, Alicia E.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Purpose: This expert consensus provides a standardized methodology for interpreting continuous glucose monitoring (CGM) data to optimize diabetes management. It aims to help healthcare professionals recognize glycemic patterns and apply targeted interventions based on real-time glucose metrics. Methods: A systematic literature review informed expert panel discussions. Specialists from Latin America assessed CGM interpretation challenges, reviewed key metrics, and reached consensus through an anonymous voting process. The recommendations align with international guidelines while addressing regional limitations in technology access and healthcare infrastructure. Results: Reliable CGM data interpretation requires at least 70% sensor use over 14 days. The Ambulatory Glucose Profile (AGP) report serves as the primary tool, offering essential metrics such as time in range (TIR), time below range (TBR), time above range (TAR), coefficient of variation (CV), and glucose management indicator (GMI). Identifying hyperglycemia, hypoglycemia, and glucose variability allows for personalized treatment adjustments. The panel adopted international glycemic targets, adapting them to Latin American settings. The time in tight range (TITR) was considered but not included due to limited supporting evidence and regional barriers to advanced CGM technology. Conclusions: Standardized CGM interpretation improves glycemic control and treatment decisions. These recommendations provide a structured approach to diabetes care, aiming to enhance clinical outcomes and address healthcare disparities in Latin America.
AB - Purpose: This expert consensus provides a standardized methodology for interpreting continuous glucose monitoring (CGM) data to optimize diabetes management. It aims to help healthcare professionals recognize glycemic patterns and apply targeted interventions based on real-time glucose metrics. Methods: A systematic literature review informed expert panel discussions. Specialists from Latin America assessed CGM interpretation challenges, reviewed key metrics, and reached consensus through an anonymous voting process. The recommendations align with international guidelines while addressing regional limitations in technology access and healthcare infrastructure. Results: Reliable CGM data interpretation requires at least 70% sensor use over 14 days. The Ambulatory Glucose Profile (AGP) report serves as the primary tool, offering essential metrics such as time in range (TIR), time below range (TBR), time above range (TAR), coefficient of variation (CV), and glucose management indicator (GMI). Identifying hyperglycemia, hypoglycemia, and glucose variability allows for personalized treatment adjustments. The panel adopted international glycemic targets, adapting them to Latin American settings. The time in tight range (TITR) was considered but not included due to limited supporting evidence and regional barriers to advanced CGM technology. Conclusions: Standardized CGM interpretation improves glycemic control and treatment decisions. These recommendations provide a structured approach to diabetes care, aiming to enhance clinical outcomes and address healthcare disparities in Latin America.
KW - Ambulatory glucose profile
KW - Continuous glucose monitoring
KW - Diabetes mellitus
KW - Digital ecosystem
KW - Recommendations
UR - http://www.scopus.com/inward/record.url?scp=105004436317&partnerID=8YFLogxK
U2 - 10.1186/s13098-025-01702-y
DO - 10.1186/s13098-025-01702-y
M3 - Artículo de revisión
AN - SCOPUS:105004436317
SN - 1758-5996
VL - 17
JO - Diabetology and Metabolic Syndrome
JF - Diabetology and Metabolic Syndrome
IS - 1
M1 - 149
ER -