Spss release 18

Obtained data is analyzed using SPSS (Release 18.0, SPSS Inc., Chicago, IL, USA).
Baseline characteristics of studied population were compared using Student t-test and Chi-square test. DN4 score in the placebo and intervention groups before and after the intervention was compared using Mcnemar test. Mean ± standard deviation (SD) of NPS score in the placebo and intervention groups before and after the intervention was compared using independent and paired t-tests. P < 0.05 was considered to be statistically significant.

Data are expressed as the mean ± standard deviation. The normal Gaussian distribution was verified by the Shapiro-Wilk test, whereas homogeneity of variance was assessed using Levene's test. Inter- and intra-group comparisons of the variables were computed by two-way ANOVA (group vs. time) with repeated measurements to determine the main and interaction effects between groups over time. Percentage change between pre-test and post-test was calculated for each parameter. One-way ANOVA was used to determine the difference of the percentage change between groups (MIIT, HIIT and control group). Whenever significant differences in values occurred, a pair-wise multiple comparisons test was performed using a Bonferroni post-hoc test. In addition, post-hoc effect size statistics (ES) for all the statistically significant t ratios were established. These calculations were based on Cohen's classification, and knowledge of the ES enabled the magnitude of the difference to be estimated (i.e., trivial: ES < 0.2, small: 0.2 ≤ ES < 0.5, moderate: 0.5 ≤ ES < 0.8, or large: ES ≥ 0.8).
In order to identify the most relevant associations, stepwise multiple regression was performed, while the correlation between leptin and other parameters was examined using Pearson's test.
Statistical significance was set at p<0.05, and all analyses were performed with SPSS (release 18.0, Chicago, IL, USA).

All analyses were conducted using the Statistical Package for Social Science (SPSS) release 18.0, standard version (1989–02). A descriptive analysis of demographic features is presented as mean±SD for quantitative variables (ie, age, LOS and LOS in the hypocapnia, hypercapnia and normocapnia groups) and number (%) for qualitative variables (ie, gender, mortality, hypocapnia, hypercapnia and normopcania and mortality in hypocapnia, hypercapnia and normocapnia groups). A χ² test was used to compare the mortality in the three groups and ANOVA was used for mean LOS in the three groups. Due to the skewed distribution of LOS, it was categorised for the main analysis. LOS was dichotomised into mean <7 days and >7 days. ORs and their 95% CIs were estimated using logistic regression with LOS as the outcome variable. Kaplan–Meier plot analysis was done to assess LOS among the three PaCO₂ groups. All significant factors in the univariate analysis were considered for inclusion in the multivariable logistic model. All p values were two-sided and p values ≤0.05 were taken as significant.

All experiments were repeated for at least three times. Data were expressed as mean ± SD and analyzed with the Statistical Package for the Social Sciences (SPSS Release 18.0, SPSS Inc., Chicago, IL, USA). Differences were evaluated using a two-way analysis of variance (ANOVA), followed by Bonferonni posttest. A P-value less than 0.05 was considered as statistically, significantly different.