Abstract：
BACKGROUND: The Medtronic MiniMed™ 780G (MM780G) system uses an algorithm that includes autocorrection bolus (AB) delivery. This study evaluates the impact of omitted meal boluses and the system settings, glucose target and active insulin time (AIT), on the AB.
METHODS: Retrospective observational study on data uploaded by all MiniMed 780G users in our healthcare area, obtained through the remote monitoring platform Care Connect, from April to August 2023. Downloads with a sensor usage time <95% were excluded.
RESULTS: 235 downloads belonging to 235 users were analysed. AB delivery was significantly higher at 2 h AIT (36.08 ± 13.17%) compared to the rest of settings (2.25-4 h) (26.43 ± 13.2%) (p < 0.001). AB differences based on the glucose target were not found. Patients with <3 meal boluses per day had higher AB delivery (46.91 ± 19.00% vs 27.53 ± 11.54%) (p < 0.001) and had more unfavourable glucometric parameters (GMI 7.12 ± 0.45%, TIR 67.46 ± 12.89% vs GMI 6.78 ± 0.3%, TIR 76.51 ± 8.37%) (p < 0.001). However, the 2-h AIT group presented similar TAR, TIR and GMI regardless of the number of meal boluses.
CONCLUSIONS: The fewer user-initiated boluses, the greater the autocorrection received. The active insulin time of 2 h entails a more active autocorrection pattern that makes it possible to more effectively compensate for the omission of meal boluses without increasing hypoglycaemias.
METHODS: Retrospective observational study on data uploaded by all MiniMed 780G users in our healthcare area, obtained through the remote monitoring platform Care Connect, from April to August 2023. Downloads with a sensor usage time <95% were excluded.
RESULTS: 235 downloads belonging to 235 users were analysed. AB delivery was significantly higher at 2 h AIT (36.08 ± 13.17%) compared to the rest of settings (2.25-4 h) (26.43 ± 13.2%) (p < 0.001). AB differences based on the glucose target were not found. Patients with <3 meal boluses per day had higher AB delivery (46.91 ± 19.00% vs 27.53 ± 11.54%) (p < 0.001) and had more unfavourable glucometric parameters (GMI 7.12 ± 0.45%, TIR 67.46 ± 12.89% vs GMI 6.78 ± 0.3%, TIR 76.51 ± 8.37%) (p < 0.001). However, the 2-h AIT group presented similar TAR, TIR and GMI regardless of the number of meal boluses.
CONCLUSIONS: The fewer user-initiated boluses, the greater the autocorrection received. The active insulin time of 2 h entails a more active autocorrection pattern that makes it possible to more effectively compensate for the omission of meal boluses without increasing hypoglycaemias.
摘要：
背景：MedtronicMiniMed™780G（MM780G）系统使用包括自动校正推注（AB）递送的算法。这项研究评估了省略餐团和系统设置的影响，葡萄糖目标和主动胰岛素时间（AIT），在AB上。
方法：对我们医疗保健领域所有MiniMed780G用户上传的数据进行回顾性观察研究，通过远程监控平台CareConnect获得，2023年4月至8月。不包括传感器使用时间<95%的下载。
结果：分析了235个用户的235个下载。与其他设置（2.25-4h）（26.43±13.2％）相比，在2hAIT（36.08±13.17％）时的AB递送显着更高（p<0.001）。没有发现基于葡萄糖目标的AB差异。每天少于3次的患者的AB分娩率较高（46.91±19.00％vs27.53±11.54％）（p<0.001），并且血糖参数较差（GMI7.12±0.45％，TIR67.46±12.89%与GMI6.78±0.3%,TIR76.51±8.37%)(p<0.001)。然而,2小时AIT组呈现相似的TAR，TIR和GMI不考虑餐粉的数量。
结论：用户发起的推注越少，接收到的自动校正越大。2小时的主动胰岛素时间需要更主动的自动校正模式，这使得可以更有效地补偿餐团的遗漏而不会增加低血糖。
方法：对我们医疗保健领域所有MiniMed780G用户上传的数据进行回顾性观察研究，通过远程监控平台CareConnect获得，2023年4月至8月。不包括传感器使用时间<95%的下载。
结果：分析了235个用户的235个下载。与其他设置（2.25-4h）（26.43±13.2％）相比，在2hAIT（36.08±13.17％）时的AB递送显着更高（p<0.001）。没有发现基于葡萄糖目标的AB差异。每天少于3次的患者的AB分娩率较高（46.91±19.00％vs27.53±11.54％）（p<0.001），并且血糖参数较差（GMI7.12±0.45％，TIR67.46±12.89%与GMI6.78±0.3%,TIR76.51±8.37%)(p<0.001)。然而,2小时AIT组呈现相似的TAR，TIR和GMI不考虑餐粉的数量。
结论：用户发起的推注越少，接收到的自动校正越大。2小时的主动胰岛素时间需要更主动的自动校正模式，这使得可以更有效地补偿餐团的遗漏而不会增加低血糖。
