Statistical analysis
Statistical analysis was performed using SPSS version 26.0 (IBM SPSS
Inc., Chicago, IL). Continuous variables are presented as mean ±
standard deviation or median [interquartile range] for normal and
non-normally distributed data, respectively. Categorical variables are
presented as absolute values and percentages. Means were compared using
the independent group t -test or the Mann‒Whitney U test
(depending on data normality) for continuous variables and the
χ2 test (two-sided Fisher’s exact test) for
categorical variables. Logistic regression analysis was used to screen
the factors related to the outcome and meaningful indicators for the
next step of Cox multivariate regression analysis. Cox proportional
hazards models were used to analyze the independent effect of PASP on
ventilator treatment. Spearman’s correlation analysis was used to
investigate the correlation of PASP with oxygen pressure/ fraction of
inspiration oxygen
(PaO2:FiO2).
The cumulative survival curve of ventilator weaning was estimated using
the Kaplan‒Meier product-limit estimation method.
A receiver operating
characteristic (ROC) curve was drawn to evaluate the predictive value of
PASP for weaning outcome. P < 0.05 was considered to
indicate statistical significance.