We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas.
- Authors
Dassau E; Cameron F; Lee H; Bequette BW; Zisser H; Jovanovic L; Chase HP; Wilson DM; Buckingham BA; Doyle FJ 3rd; Dassau, Eyal; Cameron, Fraser; Lee, Hyunjin; Bequette, B Wayne; Zisser, Howard; Jovanovic, Lois; Chase, H Peter; Wilson, Darrell M; Buckingham, Bruce A; Doyle, Francis J 3rd
- Abstract
<bold>Objective: </bold>The purpose of this study was to develop an advanced algorithm that detects pending hypoglycemia and then suspends basal insulin delivery. This approach can provide a solution to the problem of nocturnal hypoglycemia, a major concern of patients with diabetes.<bold>Research Design and Methods: </bold>This real-time hypoglycemia prediction algorithm (HPA) combines five individual algorithms, all based on continuous glucose monitoring 1-min data. A predictive alarm is issued by a voting algorithm when a hypoglycemic event is predicted to occur in the next 35 min. The HPA system was developed using data derived from 21 Navigator studies that assessed Navigator function over 24 h in children with type 1 diabetes. We confirmed the function of the HPA using a separate dataset from 22 admissions of type 1 diabetic subjects. During these admissions, hypoglycemia was induced by gradual increases in the basal insulin infusion rate up to 180% from the subject's own baseline infusion rate. RESULTS Using a prediction horizon of 35 min, a glucose threshold of 80 mg/dl, and a voting threshold of three of five algorithms to predict hypoglycemia (defined as a FreeStyle plasma glucose readings <60 mg/dl), the HPA predicted 91% of the hypoglycemic events. When four of five algorithms were required to be positive, then 82% of the events were predicted.<bold>Conclusions: </bold>The HPA will enable automated insulin-pump suspension in response to a pending event that has been detected prior to severe immediate complications.
- Publication
Diabetes Care, 2010, Vol 33, Issue 6, p1249
- ISSN
0149-5992
- Publication type
journal article
- DOI
10.2337/dc09-1487