Literature DB >> 16734549

A simple insulin-nutrition protocol for tight glycemic control in critical illness: development and protocol comparison.

Timothy Lonergan1, Aaron Le Compte, Mike Willacy, J Geoffrey Chase, Geoffrey M Shaw, Xing-Wei Wong, Thomas Lotz, Jessica Lin, Christopher E Hann.   

Abstract

BACKGROUND: Hyperglycemia is prevalent in critical care, and tight control can significantly reduce mortality. However, current protocols have been considered taxing to administer and may require extra staff. In addition, increased insulin resistance and saturation effects limit the level of control possible using insulin alone. Thus, regulating both insulin and exogenous nutritional inputs is required to control blood glucose.
METHODS: A robust, easy-to-use protocol ["SPRINT" (Specialized Relative Insulin Nutrition Tables)] that employs both insulin and feed modulation is developed and analyzed using retrospective data from 19 patients with average Acute Physiology and Chronic Health Evaluation II score of 21.8. Results are compared with several published protocols in simulation, and verified in a proof-of-concept trial.
RESULTS: In simulation, 61.7% of measurements were in the 75-110 mg/dL band and 83.5% in the 75-140 mg/dL band. Results from the simulation of published protocols agreed with published results. Clinically, for two patients, 64% and 85% of measurements were between 75 and 110 mg/dL during the two proof-of-concept trials. Total enteral feeding was similar to, or exceeded, retrospective data.
CONCLUSIONS: Tight control was achieved in simulation using a protocol that is easy to implement in an intensive care unit. Similarly tight control was also maintained during the two proof-of-concept clinical trials. Measurement frequency of 1-2 h is seen to be critical to achieving and maintaining tight control. The overall SPRINT protocol is easy to use for clinical staff and effective in achieving and maintaining normoglycemia in critical illness.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16734549     DOI: 10.1089/dia.2006.8.191

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  31 in total

1.  Stochastic targeted (STAR) glycemic control: design, safety, and performance.

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

2.  Development of a clinical type 1 diabetes metabolic system model and in silico simulation tool.

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

3.  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

4.  Organ failure and tight glycemic control in the SPRINT study.

Authors:  J Geoffrey Chase; Christopher G Pretty; Leesa Pfeifer; Geoffrey M Shaw; Jean-Charles Preiser; Aaron J Le Compte; Jessica Lin; Darren Hewett; Katherine T Moorhead; Thomas Desaive
Journal:  Crit Care       Date:  2010-08-12       Impact factor: 9.097

5.  Implementing glucose control in intensive care: a multicenter trial using statistical process control.

Authors:  Saeid Eslami; Ameen Abu-Hanna; Nicolette F de Keizer; Rob J Bosman; Peter E Spronk; Evert de Jonge; Marcus J Schultz
Journal:  Intensive Care Med       Date:  2010-06-09       Impact factor: 17.440

6.  Analysis of algorithms for intensive care unit blood glucose control.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2007-11

7.  Impact of human factors on clinical protocol performance: a proposed assessment framework and case examples.

Authors:  J Geoffrey Chase; Steen Andreassen; Karsten Jensen; Geoffrey M Shaw
Journal:  J Diabetes Sci Technol       Date:  2008-05

8.  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

9.  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

10.  The impact of parameter identification methods on drug therapy control in an intensive care unit.

Authors:  Christopher E Hann; J Geoffrey Chase; Michael F Ypma; Jos Elfring; Noorhafiz Mohd Nor; Piers Lawrence; Geoffrey M Shaw
Journal:  Open Med Inform J       Date:  2008-05-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.