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]