.png){kind=icon}
.png){kind=icon}
Return
Advances in insulin pump systems lead to stepwise improvements in treatment satisfaction in people with type 1 diabetes: A single-center retrospective study
.png){kind=icon}
OA
AI
N
N
U
M
A
T
DOI：10.1111/jdi.70223.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Introduction: Transition from the MiniMed (TM) 770G hybrid closed loop (HCL) to the MiniMed (TM) 780G advanced hybrid closed loop (AHCL) insulin pump system has been demonstrated to improve glycemic control in people with type 1 diabetes (T1D). However, evidence regarding changes in treatment satisfaction following insulin pump upgrades remains limited to date. Methods: People with T1D who underwent sequential insulin pump transitions from the MiniMed (TM) 640G with predictive low glucose management (PLGM) to the 770G HCL and subsequently from the 770G HCL to the 780G AHCL were retrospectively analyzed. Changes in treatment satisfaction were assessed using the Diabetes Treatment Satisfaction Questionnaire status (DTSQs) and change (DTSQc), together with clinical and continuous glucose monitoring metrics. Results: DTSQs scores remained unchanged after transition from the 640G PLGM to the 770G HCL and from the 770G HCL to the 780G AHCL. In contrast, DTSQc scores significantly increased after transition from the 770G HCL to the 780G AHCL (13; range: 12-16; P < 0.0001) and were significantly higher than those observed after transition from the 640G PLGM to the 770G HCL. Following the transition to the 780G AHCL, HbA1c significantly decreased and TIR70-180 significantly increased. Notably, DTSQc scores after transition to the 780G AHCL were negatively correlated with HbA1c levels after the transition. Conclusions: In people with T1D, transition from the 770G HCL to the 780G AHCL significantly improved treatment satisfaction, with greater benefits than those observed during the transition from the 640G PLGM to the 770G HCL.
Keywords:
Advanced hybrid closed loop
Diabetes Treatment Satisfaction Questionnaire
Type 1 diabetes
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3
Papers:
2.8K
Citations:
5.9K