摘要：AbstractTo improve glycemic control in insulin-dependent diabetes, estimates of the glucose- lowering effect of insulin-the insulin action (IA)-and the dynamics thereof are essential. The current practice relies on generic estimates of the dynamic shape of the IA and rules-of-thumb to assess the total glucose-lowering effect. In this paper we present individualized estimates based on home-monitored data, incorporating a kernel-based estimate that also accounts for the nonlinear behavior of the IA across the glucose range. The method is successfully validated on 29 patients on continuous insulin pump therapy.
