Statistical analyses
INTRACRANIAL HEMORRHAGE, REGRESSION
For continuous variables, the Kolmogorov–Smirnov test was used to test the normality firstly. After the test, all data distributions in this study did not conform to normality. Non‐normally distributed continuous variables and ordinal variables were presented as medians and interquartile ranges (IQRs), and categorical variables were presented as absolute numbers and percentages. When comparing baseline data among glucose/HbA1C ratio at different tertiles, univariate comparisons were performed using Fisher's exact tests or chi‐square test for categorical variables and Kruskal–Wallis test or Mann–Whitney The effects of different SHR values on functional outcomes (mRS score of 0–2 and 0–1) and safety outcomes (mortality and intracranial hemorrhage) were assessed using a binary logistic regression model. In the multivariable logistic regression analysis, two models were included in the analysis. The final factors incorporated included those with significance (All statistical analyses were performed using SPSS Statistics version 26 (IBM Corp.) and R. version 4.0.5 (