Literature DB >> 16229694

Implementation of a tight glycaemic control protocol using a web-based insulin dose calculator.

A N Thomas1, A E Marchant, M C Ogden, S Collin.   

Abstract

We describe the implementation of a glucose control protocol supported by a web-based insulin dose calculator in a 16-bedded intensive care unit. The protocol was introduced and then modified after 15 months' use. Glucose concentrations were retrospectively reviewed and compared for the 9-month period before introduction of the protocol (288 patients), for 15 months after its introduction (502 patients) and for a further 5 months after its modification to increase insulin dose (101 patients). The mean (SD) blood glucose concentrations decreased from 7.3 (1.8) mmol.l(-1) to 6.6 (1.6) mmol.l(-1) and then to 6.2 (1.3) mmol.l(-1). The proportion of values < 8.0 mmol.l(-1) increased from 69% to 81% and then to 89%. Blood glucose concentrations were increased by the use of intravenous nutrition and by vasoactive drugs but not by the administration of propofol. The odds ratio [95% CI] for death for glucose values > 8.0 mmol.l(-1) was 2.10 [1.19-3.73] compared to values < 6.1 mmol.l(-1). However, patient mortality remained constant during the study. Glycaemic control was improved outside a research setting using a protocol supported by a web-based insulin dose calculator.

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Year:  2005        PMID: 16229694     DOI: 10.1111/j.1365-2044.2005.04375.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  19 in total

1.  Data entry errors and design for model-based tight glycemic control in critical care.

Authors:  Logan Ward; James Steel; Aaron Le Compte; Alicia Evans; Chia-Siong Tan; Sophie Penning; Geoffrey M Shaw; Thomas Desaive; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

2.  Model-based insulin sensitivity as a sepsis diagnostic in critical care.

Authors:  Amy Blakemore; Sheng-Hui Wang; Aaron Le Compte; Geoffrey M Shaw; Xing-Wei Wong; Jessica Lin; Thomas Lotz; Christopher E Hann; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2008-05

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.  Glycemic control in the medical intensive care unit.

Authors:  Michelle A Kovalaske; Gunjan Y Gandhi
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

5.  Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care.

Authors:  Jeremy J Cordingley; Dirk Vlasselaers; Natalie C Dormand; Pieter J Wouters; Stephen D Squire; Ludovic J Chassin; Malgorzata E Wilinska; Clifford J Morgan; Roman Hovorka; Greet Van den Berghe
Journal:  Intensive Care Med       Date:  2008-07-26       Impact factor: 17.440

Review 6.  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

7.  Overview of glycemic control in critical care: relating performance and clinical results.

Authors:  J Geoffrey Chase; Christopher E Hann; Geoffrey M Shaw; Jason Wong; Jessica Lin; Thomas Lotz; Aaron Lecompte; Timothy Lonergan
Journal:  J Diabetes Sci Technol       Date:  2007-01

8.  A benchmark data set for model-based glycemic control in critical care.

Authors:  J Geoffrey Chase; Aaron LeCompte; Geoffrey M Shaw; Amy Blakemore; Jason Wong; Jessica Lin; Christopher E Hann
Journal:  J Diabetes Sci Technol       Date:  2008-07

Review 9.  Social, organizational, and contextual characteristics of clinical decision support systems for intensive insulin therapy: a literature review and case study.

Authors:  Thomas R Campion; Lemuel R Waitman; Addison K May; Asli Ozdas; Nancy M Lorenzi; Cynthia S Gadd
Journal:  Int J Med Inform       Date:  2009-10-07       Impact factor: 4.046

Review 10.  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

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