Statistical analysis
DVT
DVT
Categorical variables were expressed as proportion and continuous variables as the mean ± standard deviation. The chi-square test was utilized to evaluate differences between categorical variables and analysis of variance (ANOVA) was used to compare the means between three or more groups for continuous variables. Repeated measures ANOVA was used to analyze D-dimer and APTT. If sphericity was violated (Mauchly’s Test of Sphericity), Greenhouse-Geisser correction was applied. Multivariate analysis was used to screen potential risk factors for predicting DVT, and the area under the receiver operating characteristic (AUROC) curve was used to evaluate the predictive performance of each significant variable. All data were analyzed using SPSS (Version 26.0) or R programing language (Version 4.1.2). A P-value of less than 0.05 (two-sided) was considered statistically significant.