Abstract
Counterregulatory hormones play an important role in recovery from hypoglycaemia. For this reason, the study of their secretion under hypoglycaemic conditions may be relevant for the prediction of recovery from low glucose episodes. In Type 1 Diabetes Mellitus patients, adrenaline is the first line of counterregulatory hormone response to hypoglycaemia due to the early impairment of glucagon secretion. An adrenaline secretion model to understand its secretion during hypoglycaemia is proposed in this paper, with focus on the analysis of inter-patient variability. Data from hypoglycaemic clamps were used for the model development. Individual and population parameter values estimation was carried out by means of global optimization and Markov Chain Monte Carlo techniques, respectively.
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