Literature DB >> 17646121

Glucose control in critical illness using a web-based insulin dose calculator.

Shondipon K Laha1, Robert Taylor, Sarah A Collin, Martin Ogden, Anthony N Thomas.   

Abstract

OBJECTIVE: We describe a modified version of a web-based insulin calculator for the control of blood glucose in critical care.
DESIGN: We modified a previously described calculator by incorporating bolus doses of insulin to be given. The calculator is now also able to store blood glucose concentrations, insulin rates, bed number and the date and time of calculation. We modified our feeding protocol to restrict the target enteral feed from 1800 to 1500 kcal per day and removed the night time rest period.
SETTING: A 16-bedded intensive care unit. PATIENTS AND PARTICIPANTS: All patients admitted to the ICU between June 2005 and May 2006. MEASUREMENTS AND
RESULTS: Six hundred and sixty-one patients admitted (mean APACHE II score 16 [S.D. 7]), mean age 51 years [S.D. 17]. One hundred and forty-six patients died prior to ICU discharge. Total of 5573 patient days with 13,029 recorded calculation data points. Mean blood glucose concentration was 6.7 mmol (95CI 3.7-12.1). There were 34 episodes of treated hypoglycaemia of which 11 were on an insulin infusion. There were two troughs in the time of data entry that corresponded with staff handover. There was no evidence of diurnal variation in blood glucose concentration. The mean value of the insulin infusion rate was 4.3 units/h (S.D. 3.7).
CONCLUSIONS: The web-based insulin calculator facilitates the dosing of insulin in critical care. The lack of diurnal blood glucose concentrations suggests that once daily estimation of blood glucose may be an acceptable method of monitoring blood glucose concentrations in critical care.

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Year:  2007        PMID: 17646121     DOI: 10.1016/j.medengphy.2007.05.010

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

Review 1.  Intraoperative glycemic control procedures and the use of an artificial pancreas.

Authors:  Koichi Yamashita; Tomoaki Yatabe
Journal:  World J Gastroenterol       Date:  2009-09-07       Impact factor: 5.742

2.  Insulin effects on glucose tolerance, hypermetabolic response, and circadian-metabolic protein expression in a rat burn and disuse model.

Authors:  Heather F Pidcoke; Lisa A Baer; Xiaowu Wu; Steven E Wolf; James K Aden; Charles E Wade
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2014-04-23       Impact factor: 3.619

Review 3.  The future is now: software-guided intensive insulin therapy in the critically ill.

Authors:  Rishi Rattan; Stanley A Nasraway
Journal:  J Diabetes Sci Technol       Date:  2013-03-01

Review 4.  Tight glycemic control and computerized decision-support systems: a systematic review.

Authors:  Saeid Eslami; Ameen Abu-Hanna; Evert de Jonge; Nicolette F de Keizer
Journal:  Intensive Care Med       Date:  2009-06-27       Impact factor: 17.440

Review 5.  Health technology assessment review: Computerized glucose regulation in the intensive care unit--how to create artificial control.

Authors:  Miriam Hoekstra; Mathijs Vogelzang; Evgeny Verbitskiy; Maarten W N Nijsten
Journal:  Crit Care       Date:  2009-10-16       Impact factor: 9.097

  5 in total

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