Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/12092
Title: Stress hyperlactatemia modifies the relationship between stress hyperglycemia and outcome: a retrospective observational study.
Authors: Kaukonen, Kirsi-Maija;Bailey, Michael J;Egi, Moritoki;Orford, Neil;Glassford, Neil J;Marik, Paul E;Bellomo, Rinaldo
Affiliation: 1Australian and New Zealand Intensive Care Research Centre, School of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia. 2Department of Anesthesiology and Resuscitology, Okayama University Hospital, Okayama, Japan. 3Intensive Care Unit, Geelong Hospital, Barwon Health, Geelong, Australia. 4Intensive Care Unit, Austin Health, Heidelberg, Australia. 5Division of Pulmonary and Critical Care Medicine, Eastern Virginia Medical School, Norfolk, VA.
Issue Date: 1-Jun-2014
Citation: Critical Care Medicine; 42(6): 1379-85
Abstract: To study the effect of stress hyperlactatemia on the association between stress hyperglycemia and mortality.Retrospective cross-sectional observation study.Three ICUs using arterial blood gases with simultaneous glucose and lactate measurements during ICU stay.Cohort of 7,925 consecutive critically ill patients.None.We analyzed 152,349 simultaneous measurements of glucose and lactate. We performed multivariable analysis to study the association of different metrics of glucose and lactate with hospital mortality. On day 1, first (p = 0.013), highest (p = 0.001), mean (p = 0.019), and time-weighted mean (p = 0.010) glucose levels were associated with increased mortality. A similar, but stronger, association was seen for corresponding lactate metrics (p < 0.0001 for all). However, once glucose and lactate metrics were entered into the multivariable logistic regression model simultaneously, all measures of glycemia ceased to be significantly associated with hospital mortality regardless of the metrics being used (first, highest, mean, time-weighed; p > 0.05 for all), whereas all lactate metrics remained associated with mortality (p < 0.0001 for all). In patients with at least one episode of moderate hypoglycemia (glucose ≤ 3.9 mmol/L), glucose metrics were not associated with mortality when studied separately (p > 0.05 for all), whereas lactate was (p < 0.05 for all), but when incorporated into a model simultaneously, highest glucose on day 1 was associated with mortality (p< 0.05), but not other glucose metrics (p > 0.05), whereas all lactate metrics remained associated with mortality (p < 0.05 for all).Stress hyperlactatemia modifies the relationship between hyperglycemia and mortality. There is no independent association between hyperglycemia and mortality once lactate levels are considered.
Internal ID Number: 24561567
URI: http://ahro.austin.org.au/austinjspui/handle/1/12092
DOI: 10.1097/CCM.0000000000000214
URL: http://www.ncbi.nlm.nih.gov/pubmed/24561567
Type: Journal Article
Subjects: APACHE
Aged
Blood Gas Analysis
Critical Illness.mortality
Cross-Sectional Studies
Female
Glucose.analysis
Hospital Mortality
Humans
Hyperglycemia.mortality.pathology.physiopathology
Intensive Care Units
Lactic Acid.analysis
Logistic Models
Male
Middle Aged
Odds Ratio
Retrospective Studies
Stress, Physiological.physiology
Time Factors
Appears in Collections:Journal articles

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