It is well known that diabetic patients are particularly sensitive to infections however no robust diagnostic test for the early detection of infection has been developed to date. Glucose levels would be an ideal indicator, since diabetics measure their blood glucose (BG) on a daily basis along with insulin intake. At the same time some computerized systems have been developed that collect BG values using sensors and transmit them to a central data repository, such as the Electronic Healthcare Record. Acute infection often results in hyperglycemia, due to release of regulatory hormones and pro-inflammatory cytokines as evidenced by studies on hospitalized patients. Nevertheless the underlying mechanisms of infection-related stress hyperglycemia are not fully understood.
Objective
The aim of the study is to assess the correlation between blood glucose levels and infection and to propose the development of a model for the early detection of infections in diabetics.