Northerner
Admin (Retired)
- Relationship to Diabetes
- Type 1
InSpark Technologies, Inc. announced today that the peer-reviewed Journal of Diabetes Science and Technology has published the paper "Evaluation of the Utility of a Glycemic Pattern Identification System" in its July 2014 issue. The system that is the subject of this paper is being incorporated into InSpark's Vigilant iPhone-enabled diabetes management software.
The retrospective study evaluated the Vigilant daily pattern identification system in data from 536 patients with diabetes. It was found that patterns identified by Vigilant algorithms were predictive of future hyperglycemia and hypoglycemia across diabetes types and glycemic control groups, and were significantly more predictive than six other pattern identification techniques evaluated. Episodes of hypoglycemia, hyperglycemia, severe hypoglycemia, and severe hyperglycemia were 120 percent, 46 percent, 123 percent and 76 percent more likely in the next seven days after pattern identification, respectively, compared to intraday periods when no pattern was identified. Identified patterns continued to be predictive of glycemic events up to three months later.
http://www.itbusinessnet.com/articl...al-of-Diabetes-Science-and-Technology-3369922
The retrospective study evaluated the Vigilant daily pattern identification system in data from 536 patients with diabetes. It was found that patterns identified by Vigilant algorithms were predictive of future hyperglycemia and hypoglycemia across diabetes types and glycemic control groups, and were significantly more predictive than six other pattern identification techniques evaluated. Episodes of hypoglycemia, hyperglycemia, severe hypoglycemia, and severe hyperglycemia were 120 percent, 46 percent, 123 percent and 76 percent more likely in the next seven days after pattern identification, respectively, compared to intraday periods when no pattern was identified. Identified patterns continued to be predictive of glycemic events up to three months later.
http://www.itbusinessnet.com/articl...al-of-Diabetes-Science-and-Technology-3369922