Spss 17.0 software for windows

The collected data (CFU counts) were statistically analyzed by SPSS 17.0 software for Windows (SPSS, Inc., Chicago, IL, USA). The Shapiro-Wilk`s test showed that the distribution of the variables studied deviated from normality. Therefore, the data were transformed to Log10. The intragroup quantitative analysis compared the bacterial reduction in three moments: from S1 to S2; from S1 to S3 and from S2 to S3, using the Wilcoxon paired test. The data for the quantitative comparisons among groups were obtained both by means of the absolute count in S1, S2 and S3, as well as by the analysis of percentage reduction of the bacterial load from S1 to S2 and S2 to S3, using the Kruskal-Wallis test with Dunn’s post-hoc test. The level of significance was set at 0.05 (P<0.05).

All statistical data were analyzed using SPSS 17.0 software for Windows (SPSS Inc., Chicago, IL, USA) and presented as mean ± standard deviation or median (quartile). Multiple comparisons were calculated by nonparametric Kruskal-Wallis test with Bonferroni correction for sub-analyses. Statistical significance between the two groups was determined by the Mann-Whitney U-test. The correlation between the miR-155 levels and clinical parameters was examined using Spearman’s rank correlation. All statistical tests were two-tailed. Differences were considered statistically significant at P < 0.05.

All analyses were performed using SPSS 17.0 software for Windows (SPSS, Chicago, IL, USA). Quantitative data were expressed as mean ± SD. Paired t-tests were used to examine the changes in blood pressure, heart rate and SaO₂ within the isoflurane-treated group before induction, during induction and 1 hour after anesthesia. Blood pressure, heart rate, SaO₂ and metabolite changes between the control group and isoflurane-treated group were analyzed by independent sample t-tests. Correlation studies between metabolites and cognitive impairment were analyzed through a linear regression model. A value of P < 0.05 was considered statistically significant.

Statistical analyses were performed using SPSS 17.0 software for Windows (SPSS Inc, Chicago, IL, USA). The normal distribution of data was tested by the 1-sample Kolmogorov-Smirnov test. All statistical comparisons were performed using the unpaired t-test. The unpaired t-test was also validated using the non-parametric Mann-Whitney U test. Chi-square test or Fisher exact test was applied in the comparison of categorical variables. The values were expressed as mean±standard deviation (SD) or the median and interquartile range (IQR, range from the 25^th to the 75^th percentile). Pearson’s correlation was used for numerical data. Spearman’s correlation was used for nominal data. To assess the diagnostic accuracy, we performed receiver operating characteristic (ROC) curve analysis. The area under the ROC curve (AUC) was then estimated. A p value <0.05 was considered to be statistically significant. The results of the intra-assay reproducibility are represented as coefficients of variation.