The Accuracy of a New Real-Time Continuous Glucose Monitoring Algorithm: An Analysis |
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Authors: | Boris Kovatchev and Marc Breton |
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Affiliation: | Diabetes Technology Program, University of Virginia, Charlottesville, Virginia |
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Abstract: | In this issue of Journal of Diabetes Science and Technology, Keenan and colleagues used archival data from the STAR 1 clinical trial (Medtronic Diabetes) to support the claim that the new Veo™ calibration algorithm improves the accuracy of continuous glucose monitoring, particularly in the critical hypoglycemic range. Extensive data analyses are presented to support this claim; the results are convincing, and the estimated improvement in hypoglycemic detection from 55% for the standard calibration to 82% for the Veo is particularly impressive. We can therefore conclude that the Veo algorithm has the potential to improve the accuracy of hypoglycemia alarms and ultimately contribute to closed-loop control. However, the presented results should be interpreted cautiously because they are based on retrospective analysis and are heavily dependent on the distribution of blood glucose levels observed in a particular data set. |
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Keywords: | continuous glucose monitoring continuous glucose monitoring accuracy hypoglycemia |
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