Literature DB >> 17205020

Circadian rhythm of blood glucose values in critically ill patients.

Moritoki Egi1, Rinaldo Bellomo, Edward Stachowski, Craig J French, Graeme Hart, Peter Stow.   

Abstract

OBJECTIVE: To test whether there is a circadian rhythm of blood glucose control in critically ill patients and whether morning blood glucose is an accurate surrogate of overall blood glucose control.
DESIGN: Retrospective multiple-center observational study.
SETTING: Intensive care units of three tertiary hospitals and one affiliated private hospital. PATIENTS: Cohort of 8,307 consecutive critically ill patients.
INTERVENTIONS: Extraction of blood glucose values from electronically stored measurements. Extraction of demographic and outcome data from unit and hospital databases. Statistical assessment of variations in blood glucose control over each 24-hr cycle.
MEASUREMENTS AND MAIN RESULTS: We studied 208,362 blood glucose measurements in 8,307 patients (5.5 measurements/day/person). In each hospital, there was a circadian rhythm of blood glucose control (p<.0001). The differences between highest and lowest blood glucose concentration in different time periods in each hospital were 0.27, 0.28, 0.95, and 0.22 mmol/L. There was also significant variation in the incidence and notional duration of hyperglycemia. The differences between the lowest and highest incidence of hyperglycemia in different time periods were 3.3, 2.7, 9.9, and 2.6% in each hospital. In all four hospitals, the average blood glucose value from 5:30 am to 6:30 am was significantly lower than the 24-hr average.
CONCLUSIONS: Blood glucose values and the incidence of hyperglycemia have a circadian rhythm in critically ill patients. Morning blood glucose may not be an accurate surrogate of blood glucose control over the daily cycle.

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Year:  2007        PMID: 17205020     DOI: 10.1097/01.CCM.0000253814.78836.43

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  20 in total

1.  Interface design and human factors considerations for model-based tight glycemic control in critical care.

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2.  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

3.  Hypoglycemia and outcome in critically ill patients.

Authors:  Moritoki Egi; Rinaldo Bellomo; Edward Stachowski; Craig J French; Graeme K Hart; Gopal Taori; Colin Hegarty; Michael Bailey
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4.  What is a NICE-SUGAR for patients in the intensive care unit?

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Journal:  Mayo Clin Proc       Date:  2009-05       Impact factor: 7.616

5.  Insulin effects on glucose tolerance, hypermetabolic response, and circadian-metabolic protein expression in a rat burn and disuse model.

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Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2014-04-23       Impact factor: 3.619

Review 6.  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
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Journal:  Crit Care Med       Date:  2011-10       Impact factor: 7.598

Review 8.  Circadian rhythms: from basic mechanisms to the intensive care unit.

Authors:  Ming-Cheng Chan; Peter M Spieth; Kieran Quinn; Matteo Parotto; Haibo Zhang; Arthur S Slutsky
Journal:  Crit Care Med       Date:  2012-01       Impact factor: 7.598

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Journal:  Am Surg       Date:  2009-11       Impact factor: 0.688

10.  Is reducing variability of blood glucose the real but hidden target of intensive insulin therapy?

Authors:  Moritoki Egi; Rinaldo Bellomo; Michael C Reade
Journal:  Crit Care       Date:  2009-04-06       Impact factor: 9.097

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