Statistical analysis
Chi-square test or Fisher’s exact test was used to compare categorical variables between patients with bleeding complications and those without complications. Multivariable logistic regression analysis was used to examine independent risk factors for bleeding complications. Factors having a p-value less than 0.05 in univariate analysis along with clinically relevant confounders (age, sex, and CrCl) were included in multivariable analysis. Subgroup analysis was conducted on high-risk patients for bleeding complications whose edoxaban dose was reduced to less than or equal to 30 mg. Odds ratios and adjusted odds ratios were calculated through univariate and multivariable analyses, respectively. A p-value of less than 0.05 was considered statistically significant. To test the model’s goodness of fit, we performed a Hosmer–Lemeshow test. All statistical analyses were conducted using IBM SPSS statistics, version 20 software (International Business Machines Corp., New York, USA).