Literature DB >> 19885216

Continuous glucose monitoring awaits its "killer app".

Steven J Russell1.   

Abstract

Continuous glucose monitoring (CGM) could drive a paradigm shift in diabetes care, but realization of this promise awaits a complementary shift in the way CGM data is used. The most exciting use for CGM is as the input for automated, closed-loop glucose control. Although first generation CGM devices leave much room for improvement, closed-loop control does not have to wait. Algorithms should target blood glucose levels above the normal range for safety in the setting of imperfect CGM measurements. If the mean glucose under closed-loop control is sufficiently close to the chosen target, hemoglobin A1c goals could be met while minimizing risk of hypoglycemia. CGM may also improve the care of intensive care unit patients treated with intensive insulin therapy and the large numbers of diabetic patients in general hospital wards.

Entities:  

Keywords:  CGM; closed-loop glucose control; continuous glucose monitoring; diabetes mellitus; intensive insulin therapy

Year:  2008        PMID: 19885216      PMCID: PMC2769737          DOI: 10.1177/193229680800200321

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


  21 in total

1.  Prevalence of hyper- and hypoglycemia among inpatients with diabetes: a national survey of 44 U.S. hospitals.

Authors:  Deborah J Wexler; James B Meigs; Enrico Cagliero; David M Nathan; Richard W Grant
Journal:  Diabetes Care       Date:  2007-02       Impact factor: 19.112

2.  Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurements.

Authors:  Richard L Weinstein; Sherwyn L Schwartz; Ronald L Brazg; Jolyon R Bugler; Thomas A Peyser; Geoffrey V McGarraugh
Journal:  Diabetes Care       Date:  2007-03-02       Impact factor: 19.112

3.  Reduction in hemoglobin A1C with real-time continuous glucose monitoring: results from a 12-week observational study.

Authors:  Timothy S Bailey; Howard C Zisser; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2007-06       Impact factor: 6.118

4.  Intensive insulin therapy in the intensive care unit: assessment by continuous glucose monitoring.

Authors:  Christophe De Block; Begoña Manuel-Y-Keenoy; Luc Van Gaal; Peter Rogiers
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

5.  Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis.

Authors:  William L Clarke; Stacey Anderson; Leon Farhy; Marc Breton; Linda Gonder-Frederick; Daniel Cox; Boris Kovatchev
Journal:  Diabetes Care       Date:  2005-10       Impact factor: 19.112

6.  Feasibility of automating insulin delivery for the treatment of type 1 diabetes.

Authors:  Garry M Steil; Kerstin Rebrin; Christine Darwin; Farzam Hariri; Mohammed F Saad
Journal:  Diabetes       Date:  2006-12       Impact factor: 9.461

7.  Unrecognized diabetes among hospitalized patients.

Authors:  C S Levetan; M Passaro; K Jablonski; M Kass; R E Ratner
Journal:  Diabetes Care       Date:  1998-02       Impact factor: 19.112

8.  Persistent poststroke hyperglycemia is independently associated with infarct expansion and worse clinical outcome.

Authors:  Tracey A Baird; Mark W Parsons; Thanh Phan; Thanh Phanh; Ken S Butcher; Patricia M Desmond; Brian M Tress; Peter G Colman; Brian R Chambers; Stephen M Davis
Journal:  Stroke       Date:  2003-07-31       Impact factor: 7.914

9.  Intensive insulin therapy and pentastarch resuscitation in severe sepsis.

Authors:  Frank M Brunkhorst; Christoph Engel; Frank Bloos; Andreas Meier-Hellmann; Max Ragaller; Norbert Weiler; Onnen Moerer; Matthias Gruendling; Michael Oppert; Stefan Grond; Derk Olthoff; Ulrich Jaschinski; Stefan John; Rolf Rossaint; Tobias Welte; Martin Schaefer; Peter Kern; Evelyn Kuhnt; Michael Kiehntopf; Christiane Hartog; Charles Natanson; Markus Loeffler; Konrad Reinhart
Journal:  N Engl J Med       Date:  2008-01-10       Impact factor: 91.245

10.  Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas.

Authors:  Stuart A Weinzimer; Garry M Steil; Karena L Swan; Jim Dziura; Natalie Kurtz; William V Tamborlane
Journal:  Diabetes Care       Date:  2008-02-05       Impact factor: 19.112

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  1 in total

1.  Real-time state estimation and long-term model adaptation: a two-sided approach toward personalized diagnosis of glucose and insulin levels.

Authors:  Claudia Eberle; Christoph Ament
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
  1 in total

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