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Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol

INTRODUCTION: A single centre has reported that implementation of an intensive insulin protocol, aiming for tight glycaemic control (blood glucose 4.4 to 6.1 mmol/l), resulted in significant reduction in mortality in longer stay medical and surgical critically ill patients. Our aim was to determine...

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Autores principales: Shulman, Rob, Finney, Simon J, O'Sullivan, Caoimhe, Glynne, Paul A, Greene, Russell
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206495/
https://www.ncbi.nlm.nih.gov/pubmed/17623086
http://dx.doi.org/10.1186/cc5964
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author Shulman, Rob
Finney, Simon J
O'Sullivan, Caoimhe
Glynne, Paul A
Greene, Russell
author_facet Shulman, Rob
Finney, Simon J
O'Sullivan, Caoimhe
Glynne, Paul A
Greene, Russell
author_sort Shulman, Rob
collection PubMed
description INTRODUCTION: A single centre has reported that implementation of an intensive insulin protocol, aiming for tight glycaemic control (blood glucose 4.4 to 6.1 mmol/l), resulted in significant reduction in mortality in longer stay medical and surgical critically ill patients. Our aim was to determine the degree to which tight glycaemic control can be maintained using an intensive insulin therapy protocol with computerized decision support and to identify factors that may be associated with the degree of control. METHODS: At a general adult 22-bed intensive care unit, we implemented an intensive insulin therapy protocol in mechanically ventilated patients, aiming for a target glucose range of 4.4 to 6.1 mmol/l. The protocol was integrated into the computerized information management system by way of a decision support program. The time spent in each predefined blood glucose band was estimated, assuming a linear trend between measurements. RESULTS: Fifty consecutive patients were investigated, involving analysis of 7,209 blood glucose samples, over 9,214 hours. The target tight glycaemic control band (4.4 to 6.1 mmol/l) was achieved for a median of 23.1% of the time that patients were receiving intensive insulin therapy. Nearly half of the time (median 48.5%), blood glucose was within the band 6.2 to 7.99 mmol/l. Univariate analysis revealed that body mass index (BMI), Acute Physiology and Chronic Health Evaluation (APACHE) II score and previous diabetes each explained approximately 10% of the variability in tight glycaemic control. BMI and APACHE II score explained most (27%) of the variability in tight glycaemic control in the multivariate analysis, after adjusting for age and previous diabetes. CONCLUSION: Use of the computerized decision supported intensive insulin therapy protocol did result in achievement of tight glycaemic control for a substantial percentage of each patient's stay, although it did deliver 'normoglycaemia' (4.4 to about 8 mmol/l) for nearly 75% of the time. Tight glycaemic control was difficult to achieve in critically ill patients using this protocol. More sophisticated methods such as continuous blood glucose monitoring with automated insulin and glucose infusion adjustment may be a more effective way to achieve tight glycaemic control. Glycaemia in patients with high BMI and APACHE II scores may be more difficult to control using intensive insulin therapy protocols. Trial registration number 05/Q0505/1.
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spelling pubmed-22064952008-01-19 Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol Shulman, Rob Finney, Simon J O'Sullivan, Caoimhe Glynne, Paul A Greene, Russell Crit Care Research INTRODUCTION: A single centre has reported that implementation of an intensive insulin protocol, aiming for tight glycaemic control (blood glucose 4.4 to 6.1 mmol/l), resulted in significant reduction in mortality in longer stay medical and surgical critically ill patients. Our aim was to determine the degree to which tight glycaemic control can be maintained using an intensive insulin therapy protocol with computerized decision support and to identify factors that may be associated with the degree of control. METHODS: At a general adult 22-bed intensive care unit, we implemented an intensive insulin therapy protocol in mechanically ventilated patients, aiming for a target glucose range of 4.4 to 6.1 mmol/l. The protocol was integrated into the computerized information management system by way of a decision support program. The time spent in each predefined blood glucose band was estimated, assuming a linear trend between measurements. RESULTS: Fifty consecutive patients were investigated, involving analysis of 7,209 blood glucose samples, over 9,214 hours. The target tight glycaemic control band (4.4 to 6.1 mmol/l) was achieved for a median of 23.1% of the time that patients were receiving intensive insulin therapy. Nearly half of the time (median 48.5%), blood glucose was within the band 6.2 to 7.99 mmol/l. Univariate analysis revealed that body mass index (BMI), Acute Physiology and Chronic Health Evaluation (APACHE) II score and previous diabetes each explained approximately 10% of the variability in tight glycaemic control. BMI and APACHE II score explained most (27%) of the variability in tight glycaemic control in the multivariate analysis, after adjusting for age and previous diabetes. CONCLUSION: Use of the computerized decision supported intensive insulin therapy protocol did result in achievement of tight glycaemic control for a substantial percentage of each patient's stay, although it did deliver 'normoglycaemia' (4.4 to about 8 mmol/l) for nearly 75% of the time. Tight glycaemic control was difficult to achieve in critically ill patients using this protocol. More sophisticated methods such as continuous blood glucose monitoring with automated insulin and glucose infusion adjustment may be a more effective way to achieve tight glycaemic control. Glycaemia in patients with high BMI and APACHE II scores may be more difficult to control using intensive insulin therapy protocols. Trial registration number 05/Q0505/1. BioMed Central 2007 2007-07-10 /pmc/articles/PMC2206495/ /pubmed/17623086 http://dx.doi.org/10.1186/cc5964 Text en Copyright © 2007 Shulman et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Shulman, Rob
Finney, Simon J
O'Sullivan, Caoimhe
Glynne, Paul A
Greene, Russell
Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title_full Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title_fullStr Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title_full_unstemmed Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title_short Tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
title_sort tight glycaemic control: a prospective observational study of a computerised decision-supported intensive insulin therapy protocol
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2206495/
https://www.ncbi.nlm.nih.gov/pubmed/17623086
http://dx.doi.org/10.1186/cc5964
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