Objective To explore the correlation of blood glucose variability with the outcome in patients with severe acute stroke.Methods This retrospective clinical study was performed on patients with severe acute stroke.Base...Objective To explore the correlation of blood glucose variability with the outcome in patients with severe acute stroke.Methods This retrospective clinical study was performed on patients with severe acute stroke.Based on the three months mRS score after discharge,they were divided into good outcome groups and poor outcome groups.The blood glucose on admission,mean blood glucose,blood glucose standard deviation,coefficient variation of blood glucose and other clinical data were compared between both groups.Multivariate logistic regression analysis was used to determine the independent predictors of poor outcome in patients with severe acute stroke.Results A total of 420 patients with severe acute stroke were included,207(49.3%)with good outcome groups,213(50.7%)with poor outcome groups.Multivariate logistic regression analysis showed that age,NIHSS score,GCS score,APACHEⅡscore,blood glucose standard deviation,coefficient of variation of blood glucose were independent predictors of poor outcome in patients with severe acute stroke on 3 months after discharge.Conclusion Blood glucose variability are the independent predictors of poor outcome of the three months after discharge in patients with severe acute stroke,the great range of glycemic excursion indicates poor outcome.展开更多
文摘Objective To explore the correlation of blood glucose variability with the outcome in patients with severe acute stroke.Methods This retrospective clinical study was performed on patients with severe acute stroke.Based on the three months mRS score after discharge,they were divided into good outcome groups and poor outcome groups.The blood glucose on admission,mean blood glucose,blood glucose standard deviation,coefficient variation of blood glucose and other clinical data were compared between both groups.Multivariate logistic regression analysis was used to determine the independent predictors of poor outcome in patients with severe acute stroke.Results A total of 420 patients with severe acute stroke were included,207(49.3%)with good outcome groups,213(50.7%)with poor outcome groups.Multivariate logistic regression analysis showed that age,NIHSS score,GCS score,APACHEⅡscore,blood glucose standard deviation,coefficient of variation of blood glucose were independent predictors of poor outcome in patients with severe acute stroke on 3 months after discharge.Conclusion Blood glucose variability are the independent predictors of poor outcome of the three months after discharge in patients with severe acute stroke,the great range of glycemic excursion indicates poor outcome.
