2.6 Statistical Analysis
The normality of quantitative data was checked by Kolmogorov Smirnov
test. The data presentation was done as mean and standard deviation;
median and inter-quartile range. The parametric data was analyzed using
Student t-test. Non- parametric data was analyzed using Mann-Whitney
test. The comparison of time related variables was done using Repeated
Measures ANOVA. Correlation between the variables was calculated using
Spearman’s correlation. The patients were divided into two groups- group
1: reintubation and group 2 : non-reintubation and the two groups were
compared. The receiver operating characteristic (ROC) curves were drawn
to find maximal cut-off values that could predict weaning failure. All
statistical tests were two-sided and p-value ≤0.05 was considered as
significant. Analysis was conducted using SPSS for Windows (version
22.0; SPSS Inc., Chicago, IL, USA)
RESULTS