Statistical Analysis
Statistical Analysis System (SAS) software 9.4 (TS1M4, SAS Institute Inc, Cary, North Carolina) was used for data extraction and statistical analysis which was performed on unweighted (i.e. actual number) discharges. Pearson’s Chi-Square of Independence and unpaired-samplet -test were used to compare the endpoints of interest and baseline characteristics in both PR and SR groups. Logistic regression was used to create propensity score, based on the basic demographics and baseline characteristics for one-to-one parallel, balanced propensity score matching model using a caliper of 0.001. The McNemar test was used to compare paired categorical variables of the baseline characteristics and endpoints of interest, while paired-samples t -test was used to compare continuous variables. A two-tailed p-value of <0.05 was used for statistical significance.[19,20]