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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-8-18
pubmed:abstractText
Growing evidence suggests that glycaemic variability increases diabetic complications. However, the significance of glycaemic variability in critically ill patients remains unclear. We evaluated the predictors of glycaemic fluctuation and its association with critical care outcomes. This is a nested-cohort study within a clinical trial in which 523 patients at a medical surgical intensive care unit were randomised to either intensive insulin therapy (target glycaemic control: 4.4 to 6.1 mmol/l) or conventional insulin therapy (target control: 10.0 to 11.1 mmol/l). Glycaemic fluctuation was defined as the mean difference between the highest and lowest daily blood glucose. Patients were divided into wide and narrow fluctuation groups according to the median glycaemic fluctuation (6.0 mmol/l). The association between glycaemic fluctuation and different intensive care unit outcomes was studied. Predictors of glycaemic fluctuation were age (odds ratio for each year increment 1.03, 95% confidence interval 1.02 to 1.05), diabetes mellitus (odds ratio 3.00, 95% confidence interval 1.74 to 5.17), and daily insulin dose (odds ratio for each unit increment 1.04, 95% confidence interval 1.03 to 1.05). Similar levels of glucose fluctuation were observed in intensive insulin therapy and conventional insulin therapy patients. Wide glycaemic fluctuation was associated with higher mortality (22.2 vs. 8.4%, P < 0.001). Glycaemic fluctuation was identified as an independent predictor of intensive care unit mortality (odds ratio per mmol 1.08, 95% confidence interval 1.00 to 1.18) and hospital mortality (odds ratio per mmol 1.09, 95% confidence interval 1.02 to 1.17) using multivariate logistic regression analysis. In conclusion, wide glycaemic fluctuation is an independent predictor of mortality in critically ill patients. Whether reducing glycaemic fluctuation would lead to better outcomes needs further evaluation.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0310-057X
pubmed:author
pubmed:issnType
Print
pubmed:volume
38
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
695-702
pubmed:dateRevised
2011-11-17
pubmed:meshHeading
pubmed-meshheading:20715734-Adult, pubmed-meshheading:20715734-Age Factors, pubmed-meshheading:20715734-Aged, pubmed-meshheading:20715734-Blood Glucose, pubmed-meshheading:20715734-Cohort Studies, pubmed-meshheading:20715734-Critical Illness, pubmed-meshheading:20715734-Diabetes Mellitus, pubmed-meshheading:20715734-Dose-Response Relationship, Drug, pubmed-meshheading:20715734-Female, pubmed-meshheading:20715734-Humans, pubmed-meshheading:20715734-Hypoglycemic Agents, pubmed-meshheading:20715734-Insulin, pubmed-meshheading:20715734-Intensive Care, pubmed-meshheading:20715734-Logistic Models, pubmed-meshheading:20715734-Male, pubmed-meshheading:20715734-Middle Aged, pubmed-meshheading:20715734-Multivariate Analysis, pubmed-meshheading:20715734-Risk Factors, pubmed-meshheading:20715734-Young Adult
pubmed:year
2010
pubmed:articleTitle
Glycaemic fluctuation predicts mortality in critically ill patients.
pubmed:affiliation
Intensive Care Department, King Saud Bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
pubmed:publicationType
Journal Article, Randomized Controlled Trial