Literature DB >> 22027301

Average daily risk range as a measure of glycemic risk is associated with mortality in the intensive care unit: a retrospective study in a burn intensive care unit.

Leon S Farhy1, Edward A Ortiz, Boris P Kovatchev, Alejandra G Mora, Steven E Wolf, Charles E Wade.   

Abstract

BACKGROUND: Although tight glycemic control has been associated with improved outcomes in the intensive care unit (ICU), glycemic variability may be the influential factor in mortality. The main goal of the study was to relate blood glucose (BG) variability of burn ICU patients to outcomes using a sensitive measure of glycemic variability, the average daily risk range (ADRR).
METHOD: Data from patients admitted to a burn ICU were used. Patients were matched by total body surface area (TBSA) and injury severity score (ISS) to test whether increased BG variability measured by ADRR was associated with higher mortality risk and whether we could identify ADRR-based classifications associated with the degree of risk.
RESULTS: Four ADRR classifications were identified: low risk, medium-low, medium-high, and high. Mortality progressively increased from 25% in the low-risk group to over 60% in the high-risk group (p < .001). In a post hoc analysis, age also contributed to outcome. Younger (age < 43 years) survivors and nonsurvivors matched by TBSA and ISS had no significant difference in age, mean BG or standard deviation of BG; however, nonsurvivors had higher ADRR (p < .01).
CONCLUSIONS: Independent of injury severity, glycemic variability measured by the ADRR was significantly associated with mortality in the ICU. When age was considered, ADRR was the only measure of glycemia significantly associated with mortality in younger patients with burns.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 22027301      PMCID: PMC3208864          DOI: 10.1177/193229681100500509

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  21 in total

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2.  Error rates resulting from anemia can be corrected in multiple commonly used point-of-care glucometers.

Authors:  Elizabeth A Mann; Jose Salinas; Heather F Pidcoke; Steven E Wolf; John B Holcomb; Charles E Wade
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3.  The NICE-SUGAR (Normoglycaemia in Intensive Care Evaluation and Survival Using Glucose Algorithm Regulation) Study: statistical analysis plan.

Authors:  Simon Finfer; Stephane Heritier
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4.  Diabetes does not influence selected clinical outcomes in critically ill burn patients.

Authors:  Chaitanya K Dahagam; Alejandra Mora; Steven E Wolf; Charles E Wade
Journal:  J Burn Care Res       Date:  2011 Mar-Apr       Impact factor: 1.845

5.  Evaluation of a new measure of blood glucose variability in diabetes.

Authors:  Boris P Kovatchev; Erik Otto; Daniel Cox; Linda Gonder-Frederick; William Clarke
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

6.  Glucose metabolism in severely burned patients.

Authors:  R R Wolfe; M J Durkot; J R Allsop; J F Burke
Journal:  Metabolism       Date:  1979-10       Impact factor: 8.694

Review 7.  Metabolic implications of severe burn injuries and their management: a systematic review of the literature.

Authors:  Bishara S Atiyeh; S William A Gunn; Saad A Dibo
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8.  Glycemic variability: a strong independent predictor of mortality in critically ill patients.

Authors:  James S Krinsley
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9.  Intensive insulin protocol improves glucose control and is associated with a reduction in intensive care unit mortality.

Authors:  Charles C Reed; Ronald M Stewart; Michele Sherman; John G Myers; Michael G Corneille; Nanette Larson; Susan Gerhardt; Randall Beadle; Conrado Gamboa; Daniel Dent; Stephen M Cohn; Basil A Pruitt
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10.  Pathophysiologic response to severe burn injury.

Authors:  Marc G Jeschke; David L Chinkes; Celeste C Finnerty; Gabriela Kulp; Oscar E Suman; William B Norbury; Ludwik K Branski; Gerd G Gauglitz; Ronald P Mlcak; David N Herndon
Journal:  Ann Surg       Date:  2008-09       Impact factor: 12.969

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  4 in total

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Authors:  Susana R Patton; Mark A Clements
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

2.  Clinical impact of sample interference on intensive insulin therapy in severely burned patients: a pilot study.

Authors:  Nam K Tran; Zachary R Godwin; Jennifer C Bockhold; Anthony G Passerini; Julian Cheng; Morgan Ingemason
Journal:  J Burn Care Res       Date:  2014 Jan-Feb       Impact factor: 1.845

3.  High Glucose Variability in Hospitalized Patients with Type 1 Diabetes Mellitus.

Authors:  Vikash Dadlani; Shrikant U Tamhane; Aidong Sun; Anu Sharma; Danae A Delivanis; Prabin Thapa; Ricky E Carter; Yogish C Kudva
Journal:  Diabetes Technol Ther       Date:  2017-10       Impact factor: 6.118

4.  Population-Specific Models of Glycemic Control in Intensive Care: Towards a Simulation-Based Methodology for Protocol Optimization.

Authors:  Stephen D Patek; E Andy Ortiz; Leon S Farhy; Jennifer Mason Lobo; James Isbell; Jennifer L Kirby; Anthony McCall
Journal:  Proc Am Control Conf       Date:  2015-07-30
  4 in total

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