Jordan E. Pinsker, United States of America

Sansum Diabetes Research Institute Clinical Research

Presenter Of 1 Presentation

REAL WORLD IMPROVEMENTS IN HYPOGLYCEMIA IN AN INSULIN-DEPENDENT COHORT PRE AND POST TANDEM BASAL-IQ TECHNOLOGY REMOTE SOFTWARE UPDATE

Session Type
ORAL PRESENTATION SESSION
Date
21.02.2020, Friday
Session Time
16:40 - 18:00
Channel
La Paz
Lecture Time
16:50 - 17:00

Abstract

Background and Aims

Software updatable insulin pumps, such as Tandem’s t:slim X2 pump, are available in the United States, enabling pump users to access new technology as soon as it is commercialized. Little to no quantitative data exists on the remote software update process, which allows for minimal interruption in therapy as compared to purchasing a new pump, nor on pre/post therapeutic outcomes from those who remotely update their pump. We examined real-world usage and impact of a software updatable predictive low-glucose suspend (PLGS) algorithm designed for maintenance of euglycemia and reduction of hypoglycemic events in people with insulin-dependent diabetes.

Methods

Approximately 14,000 Tandem pump users remotely updated their software to Basal-IQ® technology (PLGS) since its commercial release. We performed a retrospective analysis of users who uploaded at least 21 days of pre- and post- PLGS software update usage data to the Tandem t:connect® web application between August 28, 2018 and October 1, 2019. Insulin delivery and sensor-glucose concentrations were analyzed per recent international consensus guidelines. Time taken to perform the software update was also assessed.

Results

Median software update time was 321 seconds, or 5.35 minutes. Glycemic outcomes pre and post software update will be presented.

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Conclusions

Introduction of a software updatable PLGS algorithm was easily performed remotely by Tandem t:slim X2™ insulin pump users and resulted in effective and sustained reduction of hypoglycemia.

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