TY - JOUR
T1 - Real-world performance of the MiniMed 780G advanced hybrid closed loop system in Latin America
T2 - Substantial improvement in glycaemic control with each technology iteration of the MiniMed automated insulin delivery system
AU - Grassi, Bruno
AU - Gómez, Ana Maria
AU - Calliari, Luis Eduardo
AU - Franco, Denise
AU - Raggio, Marcela
AU - Riera, Francisca
AU - Castro, Matias
AU - McVean, Jennifer
AU - van den Heuvel, Tim
AU - Arrieta, Arcelia
AU - Castañeda, Javier
AU - Cohen, Ohad
N1 - Publisher Copyright:
© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.
PY - 2023/6
Y1 - 2023/6
N2 - Aim: We studied real-world performance of MiniMed (MM) 780G system users from Argentina, Brazil, Colombia and Chile (geographical analysis), and the effect of each technology iteration of the MM system on glycaemic control (technology iteration analysis). Materials and Methods: CareLink data from August 2020 to September 2022 were extracted. Endpoints included continuous glucose monitoring metrics. For the geographical analysis, aggregated endpoints for MM780G system users were calculated. For the technology iteration analysis, MM780G system user outcomes were compared with outcomes when the same individuals were still using the MM640G or MM670G system. Results: On average, 1025 MM780G system users from the geographical analysis were followed for 136 (SD 135) days, spent 91.5 (14.3)% in advanced hybrid closed loop, showed a glucose management indicator (GMI) of 6.7 (0.3)%, a time in range between 70 and 180 mg/dl (TIR) of 76.5 (9.0)%, and a time below range 70 mg/dl (TBR) of 2.7 (2.1)%. The percentage of users reaching targets of GMI <7%, TIR >70% and TBR <4% was 80.8%, 78.1% and 80.1%, respectively. The technology iteration analysis on users transitioning from MM640G to MM780G system (N = 381) showed 0.4% decrease in GMI (7.1% to 6.7%, p <.0001), 10.7% increase in TIR (65.9% to 76.6%, p <.0001), while TBR remained. The percentage of insulin delivered automatically increased as well (47.5%-57.7%, p <.0001). Users transitioning from MM670G system (N = 78) showed a similar but less pronounced pattern. Conclusions: Real-world Latin American MM780G users on average showed good glucose control, achieving international targets. Glycaemic control increased with every technology iteration of the MM system, providing more automation each time.
AB - Aim: We studied real-world performance of MiniMed (MM) 780G system users from Argentina, Brazil, Colombia and Chile (geographical analysis), and the effect of each technology iteration of the MM system on glycaemic control (technology iteration analysis). Materials and Methods: CareLink data from August 2020 to September 2022 were extracted. Endpoints included continuous glucose monitoring metrics. For the geographical analysis, aggregated endpoints for MM780G system users were calculated. For the technology iteration analysis, MM780G system user outcomes were compared with outcomes when the same individuals were still using the MM640G or MM670G system. Results: On average, 1025 MM780G system users from the geographical analysis were followed for 136 (SD 135) days, spent 91.5 (14.3)% in advanced hybrid closed loop, showed a glucose management indicator (GMI) of 6.7 (0.3)%, a time in range between 70 and 180 mg/dl (TIR) of 76.5 (9.0)%, and a time below range 70 mg/dl (TBR) of 2.7 (2.1)%. The percentage of users reaching targets of GMI <7%, TIR >70% and TBR <4% was 80.8%, 78.1% and 80.1%, respectively. The technology iteration analysis on users transitioning from MM640G to MM780G system (N = 381) showed 0.4% decrease in GMI (7.1% to 6.7%, p <.0001), 10.7% increase in TIR (65.9% to 76.6%, p <.0001), while TBR remained. The percentage of insulin delivered automatically increased as well (47.5%-57.7%, p <.0001). Users transitioning from MM670G system (N = 78) showed a similar but less pronounced pattern. Conclusions: Real-world Latin American MM780G users on average showed good glucose control, achieving international targets. Glycaemic control increased with every technology iteration of the MM system, providing more automation each time.
KW - continuous glucose monitoring
KW - health economics
KW - insulin pump therapy
KW - real-world evidence
KW - type 1 diabetes
UR - http://www.scopus.com/inward/record.url?scp=85150602115&partnerID=8YFLogxK
U2 - 10.1111/dom.15023
DO - 10.1111/dom.15023
M3 - Article
C2 - 36789699
AN - SCOPUS:85150602115
SN - 1462-8902
VL - 25
SP - 1688
EP - 1697
JO - Diabetes, Obesity and Metabolism
JF - Diabetes, Obesity and Metabolism
IS - 6
ER -