Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Journal：Journal of Neurology

Publication type: Original Contributions

IF(IF): 6.682

PMID: 35511281 Link To Pubmed Full text Download

Guidelines have classified patients with acute ischemic stroke and diabetes as a special population, with specific sections presented for the management of these patients considering their extremely high risk. However, in China the up-to-date information regarding the burden of diabetes in patients with acute ischemic stroke is lacking and the potential impact of diabetes status on the in-hospital outcomes of these patients and its subtypes is unclear. This study aims to provide updated estimation for the burden of diabetes in patients with acute ischemic stroke in China and to evaluate whether diabetes is associated with higher risk of poor in-hospital outcomes for acute ischemic stroke patients and its different subtypes.

Continuous variables were shown as mean (standard deviation) and differences between groups were compared using t-tests; and categorical variables were presented as the number (percentage) and compared using chi-square test. We used logistic regression analyses to evaluate the association between diabetes and in-hospital outcomes. We also conducted a sensitivity analysis and subgroup analysis. Odds ratios between subgroups were compared using a Z-test. In addition, we conducted a propensity-score matched analysis to further confirm the association between diabetes and in-hospital outcomes. Statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC, USA). Two-tailed P values of <0.05 were considered statistically significant.