Statistical analysis
pneumonia
REGRESSION, PNEUMONIA
We performed all analyses based on the intention-to-treat principle. We summarized continuous variables as either means with standard deviations (SDs) or medians with interquartile ranges (IQR); categorical variables were summarized by frequency (percentage). We compared the outcome data between the SOC and controls and reported the proportional differences for categorical variables, with a 95% confidence interval (CI). For the time-to-event analysis, the resumption of oral feeding was plotted by the Kaplan–Meier curve and tested with a log-rank test. We used the Cox proportional hazards model to estimate hazard ratio (HR) with a 95% CI. For pneumonia (yes, no), we used logistic regression to obtain odds ratios (ORs) with a 95% CI. Age and length of intubation are pre-defined covariates based on prior study findings [