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This study extends previous reports showing that GLP-1 has beneficial short-term effects on cardiac contractility and cardiac output in heart failure patients [7] and provides further support for a causal link between changes in glucose uptake and cardiac function.
There was a modest correlation between changes in glucose and insulin AUC (R2 = 0.25, P < 0.05).
Sensor delay relates to the delay between changes in glucose levels in the blood and the interstitial fluid.
The mechanism underlying the association between changes in glucose and adiponectin concentration observed in the study requires further investigation.
No association was found between changes in glucose, HbA1c, or adiponectin levels with the parameters of RBF or arteriolar WLR.
However, there was only a modest correlation between changes in glucose uptake and tumor size metrics and no relationship with PFS or OS.
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This is supported by the absence of any correlation between change in glucose and change in increase in FBF from baseline in response to acetylcholine (r = 0.05, data not shown).
The independent variables were age, sex, body mass index (BMI), disease duration, and differences between changes in blood glucose AUC, changes in triglycerides CV, and changes in HDL-C CV without exenatide compared with exenatide administration.
Correlations between changes in resting glucose metabolism and object-location accuracy together with interactions with inflammatory status (modeled using a dummy variable) were investigated in a separate regression analysis.
The disparity between the changes in glucose and the changes in rCBF and oxygen suggests that during anesthesia, the reduction in extracellular glucose is not due to a reduction in the direct delivery of glucose from the blood vascular system.
The trend test was used to test the association between the changes in glucose tolerance categories and the risk factor levels using the same fixed-effects models described above but with categories coded 1 through 5. Changes in risk factor levels were also described as percent of the baseline SD to allow for comparison among the different distributions of risk factors.
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between groups in glucose
between changes in policy
between changes in serum
between changes in catch
between treatments in glucose
between changes in money
between changes in platelet
between changes in balance
between changes in unit
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between changes in metabolism
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between environments in glucose
between changes in plasma
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