2型糖尿病和胰岛素抵抗患者自动胰岛素输送系统的性能：26427名用户的首个真实世界证据

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Science and Technology Pub Date : 2025-03-12 DOI:10.1177/19322968251318373

Isabeau Thijs, Arcelia Arrieta, Javier Castañeda, Michael Joubert, Francesco Giorgino, Benedikt Voelker, Tim Van den Heuvel, Jeremy Basset-Sagarminaga, Goran Petrovski, John Shin, Robert Vigersky, Ohad Cohen

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引用次数: 0

摘要

背景：2型糖尿病（T2D）是一种表型异质性疾病。尽管最近在抗糖尿病药物方面取得了进展，但仍有很大一部分T2D患者需要使用胰岛素。本研究分析了不同胰岛素需求的T2D患者自动胰岛素输送（AID）的血糖结局。方法：这是一项回顾性的现实世界分析，包括上传到CareLink Personal（2020年1月至2024年4月）的MiniMed 780G （MM780G）数据。根据T2D的表型确定了四个队列：(A)胰岛素日总剂量(TDD)≥100 IU的用户，(B)自我报告T2D的用户，(C)自我报告T2D和TDD≥100 IU的用户，(D)自我报告T2D和TDD的用户。本研究共纳入26 427例使用者，其中A队列18 466例，B队列10 795例，C队列2 834例，d队列7 961例。队列A、队列B、队列C、队列d的平均范围内时间（TIR）分别为71.1%±12.2、75.1%±14.1、72.2%±15.0、76.1%±13.6。使用这种药物与有效的治疗结果相关，TIR超过70%，并且似乎是安全的，在大量自我报告T2D和高或低TDD的现实生活使用者中，TBR较低证明了这一点。

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Performance of an Automated Insulin Delivery System in People Living With Type 2 Diabetes and Insulin Resistance: First Real-World Evidence in 26 427 Users.

Background: Type 2 diabetes (T2D) is a phenotypically heterogeneous disease. The use of insulin is required in a significant portion of people with T2D, despite recent developments in antidiabetic medications. This study analyzes glycemic outcomes in automated insulin delivery (AID) users with T2D with different insulin requirements.

Methods: This is a retrospective, real-world analysis including MiniMed 780G (MM780G) data uploaded to CareLink Personal (January 2020 to April 2024). Four cohorts were identified based on phenotypes of T2D: (A) users with total daily dose of insulin (TDD) ≥ 100 IU, (B) users with self-reported T2D, (C) users with self-reported T2D and TDD ≥ 100 IU, and (D) users with self-reported T2D and TDD <100 IU. Glycemic outcomes and insulin use were assessed post-AID, pre-AID versus post-AID, and six-month longitudinal post-AID.

Results: A total of 26 427 users were included in this study, of which 18 466 in cohort A, 10 795 in cohort B, 2 834 in cohort C, and 7 961 in cohort D. Mean time in range (TIR) was 71.1% ± 12.2 for cohort A, 75.1% ±14.1 for cohort B, 72.2% ± 15.0 for cohort C, and 76.1% ± 13.6 for cohort D. Mean time below range (TBR) <70 mg/dL was ≤1% in all cohorts. The users in cohort C using the recommended optimal settings (glucose target [GT] of 100 mg/dL and active insulin time [AIT] of two hours) had a greater TIR with 78.7% ± 10.8. All cohorts increased ≥10% post-AID compared with pre-AID.

Conclusions: The use of this AID is associated with effective therapy outcomes, as indicated by over 70% TIR, and appears to be safe, as demonstrated by a low TBR in a large cohort of real-life users with self-reported T2D and high or low TDD.

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来源期刊

Journal of Diabetes Science and Technology Medicine-Internal Medicine

CiteScore

7.50

自引率

12.00%

发文量

148

期刊介绍： The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.