A New Algorithm Dedicated to Blood Glucose Monitoring in Insulin-Treated Elderly Dependent People With Diabetes

摘要

The prevalence of diabetes increases with aging and reaches 14.5-26.7% in nursing home elderly dependent residents. In this population diabetes control is difficult, especially under insulin treatment, with an increased risk of severe hypoglycemia or chronic hyperglycemic excursions. HbA1c is of limited interest to detect hypoglycemia risk in this population. In the present report we describe EKILIDIAB™, an algorithm that allows one, using capillary blood glucose (BG), to classify the risk of hypoglycemia or hyperglycemic excursions. The algorithm is specific for the BG target in elderly dependent people, that is, 100-200 mg/dL according to the ADA guidelines, and allows one to monitor diabetes control every 3-4 weeks when BG is checked 2-3 times a day.