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).