Literature DB >> 18165443

A computerized insulin infusion titration protocol improves glucose control with less hypoglycemia compared to a manual titration protocol in a trauma intensive care unit.

Marcus J Dortch1, Nathan T Mowery, Asli Ozdas, Lesly Dossett, Hanqing Cao, Bryan Collier, Gwen Holder, Randolph A Miller, Addison K May.   

Abstract

BACKGROUND: Previous studies reflect reduced morbidity and mortality with intensive blood glucose control in critically ill patients. Unfortunately, implementation of such protocols has proved challenging. This study evaluated the degree of glucose control using manual paper-based vs computer-based insulin protocols in a trauma intensive care unit.
METHODS: Of 1455 trauma admissions from May 31 to December 31, 2005, a cohort of 552 critically ill patients met study entry criteria. The patients received intensive blood glucose management with IV insulin infusions. Using Fisher's exact test, the authors compared patients managed with a computerized protocol vs a paper-based insulin protocol with respect to the portion of glucose values in a target range of 80-110 mg/dL, the incidence of hyperglycemia (> or =150 mg/dL), and the incidence of hypoglycemia (< or =40 mg/dL).
RESULTS: Three hundred nine patients were managed with a manual paper-based protocol and 243 were managed with a computerized protocol. The total number of blood glucose values across both groups was 21,178. Mean admission glucose was higher in the computer-based protocol group (170 vs 152 mg/dL; p < .001, t-test). Despite this finding by Fisher's exact test, glucose control was superior in the computerized group; a higher portion of glucose values was in range 80-110 mg/dL (41.8% vs 34.0%; p < .001), less hyperglycemia occurred (12.8% vs 15.1%; p < .001), and less hypoglycemia occurred (0.2% vs 0.5%; p < .001).
CONCLUSIONS: A computerized insulin titration protocol improves glucose control by (1) increasing the percentage of glucose values in range, (2) reducing hyperglycemia, and (3) reducing severe hypoglycemia.

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Year:  2008        PMID: 18165443     DOI: 10.1177/014860710803200118

Source DB:  PubMed          Journal:  JPEN J Parenter Enteral Nutr        ISSN: 0148-6071            Impact factor:   4.016


  26 in total

1.  Provision of balanced nutrition protects against hypoglycemia in the critically ill surgical patient.

Authors:  Rondi M Kauffmann; Rachel M Hayes; Judith M Jenkins; Patrick R Norris; Jose J Diaz; Addison K May; Bryan R Collier
Journal:  JPEN J Parenter Enteral Nutr       Date:  2011-07-12       Impact factor: 4.016

Review 2.  Diabetes Technology in the Inpatient Setting for Management of Hyperglycemia.

Authors:  Georgia M Davis; Rodolfo J Galindo; Alexandra L Migdal; Guillermo E Umpierrez
Journal:  Endocrinol Metab Clin North Am       Date:  2020-03       Impact factor: 4.741

3.  Effects of blood glucose transcription mismatches on a computer-based intensive insulin therapy protocol.

Authors:  Thomas R Campion; Addison K May; Lemuel R Waitman; Asli Ozdas; Cynthia S Gadd
Journal:  Intensive Care Med       Date:  2010-03-30       Impact factor: 17.440

4.  Barriers and facilitators to the use of computer-based intensive insulin therapy.

Authors:  Thomas R Campion; Lemuel R Waitman; Nancy M Lorenzi; Addison K May; Cynthia S Gadd
Journal:  Int J Med Inform       Date:  2011-10-21       Impact factor: 4.046

Review 5.  Glycemic control in the burn intensive care unit: focus on the role of anemia in glucose measurement.

Authors:  Elizabeth A Mann; Alejandra G Mora; Heather F Pidcoke; Steven E Wolf; Charles E Wade
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

Review 6.  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

7.  Analyses of longitudinal, hospital clinical laboratory data with application to blood glucose concentrations.

Authors:  Jonathan S Schildcrout; Sebastien Haneuse; Josh F Peterson; Joshua C Denny; Michael E Matheny; Lemuel R Waitman; Randolph A Miller
Journal:  Stat Med       Date:  2011-09-21       Impact factor: 2.373

Review 8.  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

9.  Computerization of the Yale insulin infusion protocol and potential insights into causes of hypoglycemia with intravenous insulin.

Authors:  Michael R Marvin; Silvio E Inzucchi; Brian J Besterman
Journal:  Diabetes Technol Ther       Date:  2013-01-04       Impact factor: 6.118

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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