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