Spss statistical software version

All numerical data were analyzed with SPSS statistical software version 25. Data were presented as mean ± SD. One-way analysis of variance (ANOVA) was used for comparing the means of a variable in the five groups for all studied variables, except for the thermal withdrawal latency, where a repeated measure ANOVA was used to compare the means in all five groups, overtime. In case a statistically significant difference is detected by ANOVA, a posthoc test (Bonferroni test) was used to analyze the results further. A p value <0.05 was considered statistically significant. Pearson's correlation was used to test correlations.

All data analyses were performed using the SPSS statistical software, version 21. Chi-square, independent t-test, one-way ANOVA, and multivariate regression analysis were used to determine the relationship between nutritional behaviors and variables, such as Body Mass Index (BMI) and protein consumption. P<0.05 was considered as statistically significant.

Data are presented as median and interquartile range (IQR, 25th-75th percentile) or number (%). Since most continuous variables were skewed, nonparametric approaches were used in this study. The Mann-Whitney U test was used for continuous and ordinal variables, and the chi-square test was used for nominal and categorical variables depending on the scale of measurement. The Kruskal-Wallis test was used for test for differences when comparing more than two groups. Spearman’s rank correlation coefficients were determined to evaluate correlations between serum thrombomodulin level and severity score and other laboratory parameters.
Differences in serum thrombomodulin level between different pediatric sepsis syndromes and the controls were analyzed. Serum thrombomodulin levels were also compared between patients with and without DIC and with and without MODS, and between survivors and non-survivors. Receiver operating characteristic (ROC) curves for day 1 serum thrombomodulin level to predict the development of septic shock, DIC, MODS, and mortality were plotted. The respective areas under the ROC curves and cut-off points were calculated. Statistical analysis was performed using SPSS statistical software, version 17.0 (SPSS, Inc., Chicago, IL, U.S.A.). A p value of less than 0.05 was considered to be statistically significant. All statistical tests were two-tailed.

Data analysis was performed with SPSS statistical software, version 22.0 (SPSS Inc. Chicago, IL, USA), and GraphPad Prism software version 5.0 for windows (GraphPad Software, San Diego, California, USA) was applied to draw the graphs. Values for quantitative variables were expressed as the mean ± SD (range). In the MWA or RFA group, one-way ANOVA and the Duncan’s test were used to compare the nodular maximal diameter and volume and the vascular, symptomatic and cosmetic scores between pre-procedure and at each follow-up.
Between the RFA and MWA groups, an independent-samples t-test was performed to compare the age, the mean ablation energy, time and power during the procedure, the nodular MDRR and VRR at each follow-up, and the vascular, symptomatic and cosmetic scores pre-procedure and after each follow-up. The χ² test was applied for categorical variables, including gender distribution, the number of patients with multiple-nodules, the number of patients achieving therapeutic success, the number of regrown nodules, the number of nodules with complete disappearance, minor or major complications and side effects between the two groups.
All the tests were two sided. P values less than 0.05 were considered significant differences.

Data were analyzed using SPSS statistical software, version 25. PGRF and TF infants were compared by independent sample t-test or Mann Whitney test for continuous variables, or chi-square tests for categorical ones. Multivariate analysis with Bonferroni correction was used to calculate the outcome measures using repeated measure analysis with interaction effect. Multiple linear regressions were used to assess prediction of days to full oral feeding and age at discharge. We included in the model universal variables as well as variables that were found to be significantly different between the two groups. A value of p < 0.05 was considered statistically significant.
Sample size calculation was based on the main outcome measurement of the days needed to achieve full oral feeding. We calculated that a sample size of 30 infants was needed in each group in order to achieve a power of 90% and a level of significance of 5% (two-sided) for detecting a mean difference of −5.0 ± 1, day which was the matrix found by a previous study that assessed the same outcome (18 (link), 29 (link)). A number of 40 infants in each group was planned in order to compensate for possible dropout during the study.