Windows spss package

We used the Windows SPSS package (version 20.0, IBM Corp.) to perform the statistical analysis. Categorical variables were compared using the chi-square test, and the Kolmogorov–Smirnov test was used to evaluate the data distribution. The continuous variables were analyzed by independent t test or Mann–Whitney U test to examine the difference between patients with AF and patients without AF. All numerical data are presented as the mean ± standard deviation (SD). We used the multivariate logistic regression to estimate the independent predictors of favorable outcome and ICH for patients with AF compared to patients without AF by calculating the odds ratio (OR) with two-sided 95% confidence intervals (CI) for outcome measures. A P value < .05 was considered statistically significant.

When we compared the baseline characteristics according to the calendar year, Student’s independent t-test was used to compare age, time interval, and laboratory findings, and Pearson’s χ² test or Fisher’s exact test was used in the analysis of categorical data. Wilcoxon rank sum test was used to compare baseline NIHSS scores. Because the number of patients who received reperfusion therapy in December 2016 and registered in the SECRET registry was small, these patients were merged into the patient group treated in 2017 for this analysis. When we investigated the trends of outcomes by year, linear-by-linear or Jonckheere-Terpstra test was used for the analysis. To determine the independent predictors of outcomes, logistic regression or ordinal regression analysis was used. A multivariable analysis was performed using all variables with a p-value < 0.1 in the univariable analysis. All p-values were two-sided, and a p-value < 0.05 was considered statistically significant. All statistical analysis was performed using Windows SPSS package (version 23.0, IBM Corp., Armonk, NY, USA) and R version 3.2.1 (R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org).