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Dataset Information

Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.


ABSTRACT:

Background

Patients with diabetes rely on blood glucose (BG) monitoring devices to manage their condition. As some self-monitoring devices are becoming more and more accurate, it becomes critical to understand the relationship between system accuracy and clinical outcomes, and the potential benefits of analytical accuracy.

Methods

We conducted a 30-day in-silico study in type 1 diabetes mellitus (T1DM) patients using continuous subcutaneous insulin infusion (CSII) therapy and a variety of BG meters, using the FDA-approved University of Virginia (UVA)/Padova Type 1 Simulator. We used simulated meter models derived from the published characteristics of 43 commercial meters. By controlling random events in each parallel run, we isolated the differences in clinical performance t

SUBMITTER: Campos-Nanez E 

PROVIDER: S-EPMC5951046 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature