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Dysglycemia, Glycemic Variability, and Outcome After Cardiac Arrest and Temperature Management at 33 degrees C and 36 degrees C

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F17%3A10364179" target="_blank" >RIV/00064165:_____/17:10364179 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://dx.doi.org/10.1097/CCM.0000000000002367" target="_blank" >http://dx.doi.org/10.1097/CCM.0000000000002367</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1097/CCM.0000000000002367" target="_blank" >10.1097/CCM.0000000000002367</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Dysglycemia, Glycemic Variability, and Outcome After Cardiac Arrest and Temperature Management at 33 degrees C and 36 degrees C

  • Popis výsledku v původním jazyce

    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 degrees C or 36 degrees 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 &quot;Cerebral Performance Category.&quot; 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 degrees C or 36 degrees 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 &lt; 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 degrees C group compared with the 36 degrees 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 degrees C treatment arm had hyperglycemia.

  • Název v anglickém jazyce

    Dysglycemia, Glycemic Variability, and Outcome After Cardiac Arrest and Temperature Management at 33 degrees C and 36 degrees C

  • Popis výsledku anglicky

    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 degrees C or 36 degrees 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 &quot;Cerebral Performance Category.&quot; 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 degrees C or 36 degrees 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 &lt; 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 degrees C group compared with the 36 degrees 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 degrees C treatment arm had hyperglycemia.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30201 - Cardiac and Cardiovascular systems

Návaznosti výsledku

  • Projekt

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Critical Care Medicine

  • ISSN

    0090-3493

  • e-ISSN

  • Svazek periodika

    45

  • Číslo periodika v rámci svazku

    8

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    7

  • Strana od-do

    1337-1343

  • Kód UT WoS článku

    000405469600032

  • EID výsledku v databázi Scopus

    2-s2.0-85023754773