Statistical analysis
The data analysis was performed using SPSS 25.0 software (IBM, Armonk,
NY). The count data was expressed in the form of numbers (percentage).
The independent sample t-test was used to compare continuous, normally
distributed data expressed as mean ± standard deviation; the Mann
Whitney U test was used to compare non-normally distributed data
expressed as median (interquartile range). Pearson’s Chi-squared or
Fisher’s exact tests were used to compare categorical data. Kruskal
Wallis test followed by Tamhane’s post-hoc pairwise comparisons were
used to compare DTF and DE values of groups according to post-extubation
intervention requirements. All tests were two-tailed, and statistical
significance was defined as a p-value less than 0.05. The receiver
operating characteristic analysis (ROC) was used to determine the
predictive value of each index in this study. The optimal threshold,
along with its sensitivity and specificity, was determined using the
Yuden index.