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Researchers from the Institute of Industrial Automatic and Informatics of the University Polytech, as reported in a statement.
It is based on a new calibration algorithm that, adapted to the current devices used in treatments with diabetic patients, allows increasing accuracy in blood glucose estimation and helps to regulate insulin release in a controlled and automatic way.The system results, patented by the UPV and the UDG, have been published recently in the magazine 'Biomedical and Health Informatics'.
"Our method is one more step in the development of the 'artificial pancreas' for the automation of glycemic control, thus helping to improve the quality of life of patients with diabetes mellitus type 1," said the research investigator of the AI2 Institute of the University of the UniversityPolytechnic of Valencia.
Since in 1993 the study Diabetes Control and complications trial demonstrated the relationship between hyperglycemia and the risk of chronic microvascular complications in diabetes mellitus 1 (such as retinopathy, nephropathy and neuropathy), as well as the benefit of good glycemic control (measured by means ofGLICADA A1C HEMOGLOBIN LEVELS), Normaglycemia has become the control objective in patients with this type of pathology.
Currently, as explained by Jorge Bondia, the patient is subject to intensive insulin therapy, either by multiple daily injections or with continuous infusion by insulin pumps.However, intensive insulin therapy has as a counterpart the increase in hypoglycemia episodes, which can have serious consequences such as diabetic coma.Thus, glycemia monitoring constitutes a fundamental element in the treatment and control of diabetic patients.
This type of follow -up is based on the measurement of glucose concentration in the interstitial fluid, that is, in a compartment different from that which is traditionally used as a reference, which is plasma.
Current algorithms are based on linear regression techniques, on which the dynamic information between the different biological compartments is ignored, which can cause high estimation errors."It is precisely the magnitude of the error that caused the continuous glucose monitoring to be considered today as a complementary and non -substitute tool to capillary measurement," added Jorge Bondia.
Less estimation errors
The method developed from the Laboratories of the UPV and the UDG would reduce these estimation errors.It consists of an algorithm based on a set of trained estimators through data from the representative population of patients to be monitored that provide an estimate of plasma glucose."Our goal with this project is to contribute to the fact that, in the future, the continuous glucose monitoring ceases to be complementary to capillary measurement," says Jorge Bondia.
The investigators of the AI2 Institute of the UPV and the Institute of Informatics and Applications of the UDG have validated this new technology in various clinical studies, developed with a total of 42 people, eight healthy and 34 diabetic patients type 1. These studies concluded in latelast year.