Abstract:Objective To investigate the correlation between blood glucose variability and short-term cognitive function in the patients with acute cerebral infarction complicated with diabetes mellitus. Methods Totally 124 patients of acute cerebral infarction complicated with diabetes mellitus treated in our hospital from March 2015 to March 2017 were involved. Their general data were observed. The average blood glucose (GluAve), standard deviation of glucose (GluSD), mean amplitude of glycemic excursions in 24 h (MAGE), glycemic index (GLI) and glucose variability (GV) were detected by 72-h dynamic monitoring of blood glucose started within 24 h after admission. The short-term cognitive function of the patients was measured by National Institute of Health Stroke Scale (NIHSS) and Montreal Cognitive Assessment Scale (MoCA) at admission and 2 w after admission. The patients were divided into a cognitive dysfunction group and a normal cognition group according to MoCA score. The differences in baseline indicators were compared between the two groups. The correlations between blood glucose variability and short-term cognitive function were analyzed, and the predicting value of blood glucose variability on cognitive dysfunction was observed. Results The fasting blood glucose, glycosylated hemoglobin, GluAve, GluSD, MAGE, GLI and GV in the cognitive dysfunction group were significantly higher than those in the normal cognition group (P < 0.05). GluAve, GluSD, MAGE, GLI and GV were positively correlated with the NIHSS score, and negatively correlated with the MoCA score 2 w after admission (P < 0.05). GluAve, GluSD, MAGE, GLI and GV had reliable value in predicting cognitive dysfunction, the area under the ROC curve ranged from 0.675 to 0.927 (P < 0.05). Conclusions GluAve, GluSD, MAGE, GLI and GV are all correlated with short-term cognitive dysfunction in the patients with acute cerebral infarction complicated with diabetes mellitus. Detection of blood glucose variability in early stage, reduction of blood glucose and blood glucose fluctuation may help to improve the prognosis of the patients.