A pharmacodynamic approach to optimizing insulin therapy
We have developed a program for simulation and optimization of insulin therapy in patients with insulin-dependent diabetes. The program, denoted GLUCOJECT, is based on a physiologic model of minimal complexity, which describes the pharmacokinetics of absorption and clearance of subcutaneous insulin...
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Veröffentlicht in: | Computer methods and programs in biomedicine 1991-04, Vol.34 (4), p.241-253 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We have developed a program for simulation and optimization of insulin therapy in patients with insulin-dependent diabetes. The program, denoted GLUCOJECT, is based on a physiologic model of minimal complexity, which describes the pharmacokinetics of absorption and clearance of subcutaneous insulin and the dynamics of glucose utilization as dependent on both prevailing glucose and insulin levels. With self-monitored glucose values and insulin doses collected with one of several commercially available memory meters, GLUCOJECT reconstructs an average or ‘typical’ daily plasma glucose and insulin profile and displays them in a graph. The program then calculates the expected rate of glucose utilization, which permits calculation of the rate of glucose entry into plasma from both endogenous (hepatic) and exogenous (dietary) sources. In turn, this allows one to calculate an ‘ideal’ plasma insulin profile required to maintain a relatively constant ‘ideal’ plasma glucose level. GLUCOJECT can evaluate several different insulin regimens involving various combinations of short-, intermediate- and long-acting insulins, and select the one(s) most closely approximating the ideal or optimal insulin profile, using a least-squares criterion. For any optimized insulin regimen, GLUCOJECT calculates and displays the predicted time course of plasma glucose. These features make the program attractive as an educational tool for both patients and health care professionals and could potentially assist in the management of patients with insulin-dependent diabetes. |
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ISSN: | 0169-2607 1872-7565 |
DOI: | 10.1016/0169-2607(91)90107-5 |