Statistical Analysis
Baseline characteristics and clinical data have been summarized using the appropriate summary statistics. Variables on a continuous scale were described as mean, standard deviation, median, and interquartile range. Variables on a categorical scale were presented as count and percentage. All percentages have been presented on the number of data points recorded. The complications were reported as rates amongst the cohort. Continuous variables were analyzed using the 2-sample t -test or Mann-Whitney test for parametric and nonparametric variables, respectively. The Chi-square or Fisher exact test was used for categorical variables. To allow an unbiased comparison between SDD and ONS, a propensity score analysis was employed The derived propensity scores with separate multivariable models (including age, sex, CHA2DS2-VASc score, hypertension, and BMI) were calculated when p <0.10 was achieved in the univariate analysis. Propensity scores were then matched with a caliper range of ± 0.1 to obtain matched pairs of patients. The propensity score-based greedy matching algorithm successfully matched all patients who were sent home on the same day with patients who stayed overnight. XLSTAT 19.4 (Addinsoft, New York, NY) was used to perform statistical analyses. Statistical tests were based on a 2-sided significance level of 0.05.