Literature DB >> 20167184

Essential elements of the native glucoregulatory system, which, if appreciated, may help improve the function of glucose controllers in the intensive care unit setting.

Leon DeJournett1.   

Abstract

In 2001, Van den Berghe and colleagues were able to show that tight glucose control decreases morbidity and mortality rates in the intensive care unit (ICU) setting. Several large, prospective, randomized controlled trials have failed to confirm these results. All of these studies attempted tight glucose control using expert-designed algorithms to adjust the rate of intravenous insulin. Unfortunately, these studies each had high rates of hypoglycemia, a high percentage of glucose values outside of the target range, and increased glucose variability. These three measurements have been shown to increase mortality rates in ICU patients. In order to achieve a high rate of success with regards to tight glucose control, a closed-loop system will need to be created. The two main elements of such a system are a continuous glucose sensor and a recursive glucose control algorithm. This review highlights the important elements of the native glucoregulatory system, which, if utilized, may help create a successful glucose control algorithm for a closed-loop system. 2010 Diabetes Technology Society.

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Year:  2010        PMID: 20167184      PMCID: PMC2825641          DOI: 10.1177/193229681000400124

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  87 in total

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Journal:  Diabetes Technol Ther       Date:  2006-08       Impact factor: 6.118

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Authors:  J H Baron
Journal:  Gut       Date:  1970-10       Impact factor: 23.059

Review 5.  A new approach to diabetic control: fuzzy logic and insulin pump technology.

Authors:  Paul Grant
Journal:  Med Eng Phys       Date:  2006-10-18       Impact factor: 2.242

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Journal:  Am J Med       Date:  1995-01       Impact factor: 4.965

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8.  Impaired stimulation of gluconeogenesis during prolonged hypoglycemia in intensively treated insulin-dependent diabetic subjects.

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Journal:  J Clin Endocrinol Metab       Date:  1992-10       Impact factor: 5.958

9.  Glucose production during an IVGTT by deconvolution: validation with the tracer-to-tracee clamp technique.

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10.  The impact of early hypoglycemia and blood glucose variability on outcome in critical illness.

Authors:  Sean M Bagshaw; Rinaldo Bellomo; Michael J Jacka; Moritoki Egi; Graeme K Hart; Carol George
Journal:  Crit Care       Date:  2009-06-17       Impact factor: 9.097

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  8 in total

1.  Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.

Authors:  Jeremy DeJournett; Leon DeJournett
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2.  Pharmacology of intravenous insulin administration: implications for future closed-loop glycemic control by the intravenous/intravenous route.

Authors:  Nils K Skjaervold; Oddveig Lyng; Olav Spigset; Petter Aadahl
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3.  Insulin-Based Infusion System: Preliminary Study.

Authors:  Nasseh Hashemi; Tim Valk; Kim Houlind; Niels Ejskjaer
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4.  In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.

Authors:  Leon DeJournett; Jeremy DeJournett
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5.  Insulin-Based Infusion System: Advancing the Development.

Authors:  Nasseh Hashemi; Tim Valk; Kim Houlind; Niels Ejskjaer
Journal:  J Diabetes Sci Technol       Date:  2019-03-10

6.  Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement.

Authors:  Emilia Fushimi; Patricio Colmegna; Hernán De Battista; Fabricio Garelli; Ricardo Sánchez-Peña
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7.  Switched LPV Glucose Control in Type 1 Diabetes.

Authors:  Patricio H Colmegna; Ricardo S Sanchez-Pena; Ravi Gondhalekar; Eyal Dassau; Frank J Doyle
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-05       Impact factor: 4.538

Review 8.  Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care.

Authors:  Timothy Valk; Carol McMorrow
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  8 in total

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