AIMS We aimed to investigate the effect of glycemic variability in the acute stage of stroke on the development of post-stroke cognitive impairment (PSCI). METHODS Patients who underwent blood glucose… Click to show full abstract
AIMS We aimed to investigate the effect of glycemic variability in the acute stage of stroke on the development of post-stroke cognitive impairment (PSCI). METHODS Patients who underwent blood glucose tests at least five times within 7 days after acute ischemic stroke were included. Factors related to glycemic variability (standard deviation (SD), coefficient of variance (CV), and mean absolute glucose (MAG)) were calculated; neuropsychological assessments were administered 3 months after stroke. PSCI was defined as a score of less than -2 SDs for age-, sex-, and education-adjusted means in at least one cognitive domain. RESULTS A total of 354 patients were enrolled. PSCI was identified in 74 (20.9%) subjects. In the diabetic group (n = 87), MAG was a significant predictor for PSCI (adjusted OR, 1.94; 95% CI, 1.11-3.42); however, it was not significant in the non-diabetic group, although PSCI exhibited an increasing tendency within higher SD and MAG tertiles. Moreover, hyperglycemia demonstrated a detrimental effect on PSCI, regardless of diabetes status; this effect did not appear in poorly-controlled diabetic patients with HbA1c ≥ 8.0%. CONCLUSIONS Glycemic variability and hyperglycemia during acute ischemic stroke were identified as novel predictors for PSCI. Although this result is not evidence of a causal relationship, our study suggests that monitoring glycemic index and controlling its variability during the acute phase of ischemic stroke may help to prevent poor cognitive outcomes.
               
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