• Zhonghua nei ke za zhi · Jan 2013

    Randomized Controlled Trial

    [The effects of real-time continuous glucose monitoring on oxidative stress and mortality in critically ill patients].

    • Wu-qiang Qian, Zhao-chen Jin, Yan Cai, Xian-ru Kong, and Mu-sen Ji.
    • Department of Critical Care Medicine, Jiangsu University, Zhenjiang, Jiangsu Province, China.
    • Zhonghua Nei Ke Za Zhi. 2013 Jan 1; 52 (1): 30-3.

    ObjectiveTo evaluate the effects of real-time continuous glucose monitoring (RT-CGM) system on oxidative stress and mortality in critically ill patients and to explore the correlation between glucose index, oxidative stress and mortality.MethodsSelected 123 cases of critically ill patients were enrolled in this prospective randomized controlled study. They were randomly divided into the RT-CGM group (n = 61) and blood glucose meter group (GM group, n = 62). The following parameters were compared between the two groups: mean amplitude of glucose excursions (MAGE), hypoglycemia incidence, low blood glucose index (LBGI), high blood glucose index (HBGI), 28-day mortality and plasma level of 8-iso-PGF2α (8-iso) at 48 hours (R2), 72 hours (R3) and 96 hours (R4) after admission to ICU. The correlation between glucose index and plasma level of 8-iso-PGF2α were analyzed. The correlation between glucose index, plasma 8-iso level and 28-day death were analyzed.ResultsThe parameters of MAGE, hypoglycemia incidence, LBGI and HBGI in the RT-CGM group and the GM group were (3.73 ± 1.09) mmol/L and (4.19 ± 1.11) mmol/L (P = 0.02), 3.28% and 14.52% (P = 0.03), 0.0011 and 0.0119 (P < 0.01) and 0.2258 and 0.3697 (P < 0.01), respectively. The plasma levels of 8-iso at R2, R3, R4 in the RT-CGM group and the GM group were (111.44 ± 16.99) ng/L and (114.03 ± 14.64) ng/L (P = 0.37), (94.53 ± 14.92) ng/L and (110.31 ± 13.42) ng/L (P < 0.01) and (57.84 ± 12.22) ng/L and (84.41 ± 14.16) ng/L (P < 0.01), respectively. The r values between MAGE, LBGI, HBGI and the plasma level of 8-iso were 0.69, 0.71 and 0.67, respectively (all P values < 0.01). Multivariate stepwise regression analysis showed MAGE, LBGI, HBGI entered final models (corrected R2 = 0.61, P < 0.01) with β values of 0.64, 0.65 and 0.6 respectively (all P values < 0.01). The 28-day mortality in the RT-CGM group and the GM group was 9.84% and 30.65% (P < 0.01). The OR values of MAGE, hypoglycemia incidence, LBGI, HBGI and the plasma level of 8-iso for 28-day death were 2.14 (0.98 - 4.35), 3.43 (1.12 - 5.82), 2.67 (1.01 - 5.14), 1.32 (0.24 - 2.96) and 1.89 (0.67 - 3.44), respectively.ConclusionRT-CGM can optimize the care in critically ill patients by improving hypoglycemia, hyperglycemia, glucose variability and oxidative stress and bring more detailed concern in the process, and to reduce the mortality.

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