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Dysglycemia, Glycemic Variability, and Outcome After Cardiac Arrest and Temperature Management at 33°C and 36°C
O. Borgquist, MP. Wise, N. Nielsen, N. Al-Subaie, J. Cranshaw, T. Cronberg, G. Glover, C. Hassager, J. Kjaergaard, M. Kuiper, O. Smid, A. Walden, H. Friberg, . ,
Language English Country United States
Document type Journal Article, Multicenter Study, Randomized Controlled Trial
- MeSH
- Time Factors MeSH
- Glasgow Outcome Scale MeSH
- Hyperglycemia physiopathology MeSH
- Hypoglycemia physiopathology MeSH
- Cardiopulmonary Resuscitation methods MeSH
- Blood Glucose physiology MeSH
- Humans MeSH
- Body Temperature * MeSH
- Hypothermia, Induced methods MeSH
- Out-of-Hospital Cardiac Arrest mortality physiopathology therapy MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Randomized Controlled Trial MeSH
OBJECTIVES: Dysglycemia and glycemic variability are associated with poor outcomes in critically ill patients. Targeted temperature management alters blood glucose homeostasis. We investigated the association between blood glucose concentrations and glycemic variability and the neurologic outcomes of patients randomized to targeted temperature management at 33°C or 36°C after cardiac arrest. DESIGN: Post hoc analysis of the multicenter TTM-trial. Primary outcome of this analysis was neurologic outcome after 6 months, referred to as "Cerebral Performance Category." SETTING: Thirty-six sites in Europe and Australia. PATIENTS: All 939 patients with out-of-hospital cardiac arrest of presumed cardiac cause that had been included in the TTM-trial. INTERVENTIONS: Targeted temperature management at 33°C or 36°C. MEASUREMENTS AND MAIN RESULTS: Nonparametric tests as well as multiple logistic regression and mixed effects logistic regression models were used. Median glucose concentrations on hospital admission differed significantly between Cerebral Performance Category outcomes (p < 0.0001). Hyper- and hypoglycemia were associated with poor neurologic outcome (p = 0.001 and p = 0.054). In the multiple logistic regression models, the median glycemic level was an independent predictor of poor Cerebral Performance Category (Cerebral Performance Category, 3-5) with an odds ratio (OR) of 1.13 in the adjusted model (p = 0.008; 95% CI, 1.03-1.24). It was also a predictor in the mixed model, which served as a sensitivity analysis to adjust for the multiple time points. The proportion of hyperglycemia was higher in the 33°C group compared with the 36°C group. CONCLUSION: Higher blood glucose levels at admission and during the first 36 hours, and higher glycemic variability, were associated with poor neurologic outcome and death. More patients in the 33°C treatment arm had hyperglycemia.
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- $a Borgquist, Ola $u 1Department of Intensive and Perioperative Care, Skåne University Hospital, Lund, Sweden.2Department of Clinical Sciences, Lund University, Lund, Sweden.3Adult Critical Care, University Hospital of Wales, Cardiff, United Kingdom.4Department of Anaesthesia and Intensive Care, Intensive Care Unit, Helsingborg Hospital, Sweden.5Cardiothoracic Intensive Care Unit, St. George's Hospital NHS Foundation Trust, London, United Kingdom.6Department of Intensive Care, Royal Bournemouth Hospital, Bournemouth, United Kingdom.7Department of Neurology, Skåne University Hospital, Lund, Sweden.8Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.9Department of Cardiology, The Heart Centre, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.10Department of Intensive Care, Medical Center Leeuwarden, Leeuwarden, the Netherlands.11Department of Cardiology and Angiology, General University Hospital in Prague, Prague, Czech Republic.12Department of Intensive Care, Royal Berkshire Hospital, Reading, United Kingdom.
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- $a OBJECTIVES: Dysglycemia and glycemic variability are associated with poor outcomes in critically ill patients. Targeted temperature management alters blood glucose homeostasis. We investigated the association between blood glucose concentrations and glycemic variability and the neurologic outcomes of patients randomized to targeted temperature management at 33°C or 36°C after cardiac arrest. DESIGN: Post hoc analysis of the multicenter TTM-trial. Primary outcome of this analysis was neurologic outcome after 6 months, referred to as "Cerebral Performance Category." SETTING: Thirty-six sites in Europe and Australia. PATIENTS: All 939 patients with out-of-hospital cardiac arrest of presumed cardiac cause that had been included in the TTM-trial. INTERVENTIONS: Targeted temperature management at 33°C or 36°C. MEASUREMENTS AND MAIN RESULTS: Nonparametric tests as well as multiple logistic regression and mixed effects logistic regression models were used. Median glucose concentrations on hospital admission differed significantly between Cerebral Performance Category outcomes (p < 0.0001). Hyper- and hypoglycemia were associated with poor neurologic outcome (p = 0.001 and p = 0.054). In the multiple logistic regression models, the median glycemic level was an independent predictor of poor Cerebral Performance Category (Cerebral Performance Category, 3-5) with an odds ratio (OR) of 1.13 in the adjusted model (p = 0.008; 95% CI, 1.03-1.24). It was also a predictor in the mixed model, which served as a sensitivity analysis to adjust for the multiple time points. The proportion of hyperglycemia was higher in the 33°C group compared with the 36°C group. CONCLUSION: Higher blood glucose levels at admission and during the first 36 hours, and higher glycemic variability, were associated with poor neurologic outcome and death. More patients in the 33°C treatment arm had hyperglycemia.
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