Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data.

Abstract

The optimization of metabolic control in Type 1 and Type 2 diabetes mellitus (T1DM and T2DM, respectively) [i.e., the maintenance of near-normal hemoglobin A(1c) (HbA(1c)) without increasing the risk of hypoglycemia] could be enhanced by analysis of self-monitoring blood glucose (SMBG) data assessing complementary processes: exposure to hyperglycemia and… (More)

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Cite this paper

@article{Kovatchev2003AlgorithmicEO, title={Algorithmic evaluation of metabolic control and risk of severe hypoglycemia in type 1 and type 2 diabetes using self-monitoring blood glucose data.}, author={Boris P. Kovatchev and Daniel J. Cox and Anand Kumar and Linda Gonder-Frederick and William L. Clarke}, journal={Diabetes technology & therapeutics}, year={2003}, volume={5 5}, pages={817-28} }