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In silico evaluation of a control system and algorithm for automated insulin infusion in the ICU setting

By Olmos Pablo R, Borzone Gisella R, Guarini Marcelo W and Ortiz José L


<p>Abstract</p> <p>Background</p> <p>It is known that tight control of glucose in the Intensive Care Unit reduces morbidity and mortality not only in diabetic patients but also in those non-diabetics who become transiently hyperglycemic. Taking advantage of a recently marketed subcutaneous glucose sensor we designed an <it>Automatic Insulin Infusion System </it>(AIIS) for inpatient treatment, and tested its stability under simulated clinical conditions.</p> <p>Methods</p> <p>The system included: reference glucose, glucose sensor, insulin and glucose infusion controllers and emergency infusion logic. We carried out computer simulations using Matlab/Simulink<sup>®</sup>, in both common and worst-case conditions.</p> <p>Results</p> <p>The system was capable of controlling glucose levels without entering in a phase of catastrophic instability, even under severe simulated challenges. Care was taken to include in all simulations the 5-10 minute delay of the subcutaneous glucose signal when compared to the real-time serum glucose signal, a well-known characteristic of all subcutaneous glucose sensors.</p> <p>Conclusions</p> <p>When tested <it>in-Silico</it>, a commercially available subcutaneous glucose sensor allowed the stable functioning of a proportional-derivative Automatic Insulin Infusion System, which was able to maintain glucose within acceptable limits when using a well-established glucose response model simulating a patient. Testing of the system <it>in vivo </it>using animal models is now warranted.</p

Topics: Medicine (General), R5-920, Medicine, R, DOAJ:Medicine (General), DOAJ:Health Sciences, Medical technology, R855-855.5
Publisher: BioMed Central
Year: 2010
DOI identifier: 10.1186/1475-925X-9-35
OAI identifier:
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