Modelling the Interplay of Two Glycemic Biomarkers for Patient-Specific Monitoring of Diabetes.
E.T.S.I INDUSTRIALES, Aula 00B
Miércoles 15 de Noviembre del 2017
Grupo de Oncología Matemática

Odelaisy León Triana, Universidad de la Habana, Cuba

Conferencia 15 de noviembre

12:45h. E.T.S.I.Industriales, Aula 00B

 

Diabetes mellitus is a growing global health burden affecting about 400 million people worldwide. A person’s glycated hemoglobin reflects the average concentration of glucose in the blood over the past 2 to 3 months and is the gold standard measure for estimating the risk for diabetes-related complications in patients with disease. Remarkably there exists a transient (reversible) form known as the glycated hemoglobin labile fraction, which also provides information about the average concentration of glucose in the blood plasma at a significantly shorter time scale.  We put forward a biomathematical model to quantify the kinetics of two patient-specific glycemic biomarkers to track the emergence and evolution of diabetes mellitus: glycated hemoglobin and its labile fraction. The method incorporates erythrocyte age distribution and makes use of a large cohort of clinical data from blood sample analysis.