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Effect of real-life insulin pump with predictive low-glucose management use for 3 months: Analysis of the patients treated in a Japanese center. | LitMetric

AI Article Synopsis

Article Abstract

Aims/introduction: In Japan, an insulin pump with predictive low-glucose management (PLGM) was launched in 2018. It automatically suspends insulin delivery when the sensor detects or predicts low glucose values. The aim of this study was to analyze the safety and efficacy of PLGM in patients treated in a Japanese center.

Materials And Methods: We carried out a retrospective observational analysis of 16 patients with type 1 diabetes mellitus and one patient after pancreatectomy. They switched from the MiniMed 620G device to the 640G device with PLGM. The primary outcome was the change in the percentage of time in hypoglycemia. The secondary outcome was the change in HbA1c (%) over a period of 3 months. We also explored the presence of "post-suspend hyperglycemia" with the 640G device.

Results: After changing to the 640G device, the percentage of time in hypoglycemia (glucose <50 mg/dL) significantly decreased from 0.39% (0-1.51%) to 0% (0-0.44%; P = 0.0407). The percentage of time in hyperglycemia (glucose >180 mg/dL) significantly increased from 25.53% (15.78-44.14%) to 32.9% (24.71-45.49%; P = 0.0373). HbA1c significantly increased from 7.6 ± 1.0% to 7.8 ± 1.1% (P = 0.0161). From 1.5 to 4.5 h after the resumption of insulin delivery, the percentage of time in hyperglycemia was 32.23% (24.2-53.75%), but it was significantly lower, 2.78% (0-21.6%), when patients manually restarted the pump within 30 min compared with automatic resumption 31.2% (20-61.66%; P = 0.0063).

Conclusions: Predictive low-glucose management is an effective tool for reducing hypoglycemia, but possibly elicits "post-suspend hyperglycemia." This information is useful for achieving better blood glucose control in the patients treated with PLGM.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7610121PMC
http://dx.doi.org/10.1111/jdi.13288DOI Listing

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