Spss software version 24.0 for windows

Qualitative variables were described by relative (%) and absolute (f) frequency distribution. Quantitative variables were described by mean and standard deviation (SD). To analyze the association between the prophylactic use of the antibiotic and the positivity of bacteriobilia, the Chi-square test was performed. The Odds Ratio was calculated and its significance was determined when the 95% confidence interval (95% CI) did not include the value 1.
A Logistic Regression model was built to analyze the probability of positive culture by the Enter method. The X² statistic was used to determine whether the variables inserted in the Logistic Regression model were significant to predict the outcome, and Nagelkerke’s R² was used to determine the percentage of variation in the outcome variable explained by the model. SPSS software version 24.0 for Windows was used for all analyses, with a significance level of 5%.

Continuous variables with normal distribution were presented as mean ± SD, whereas variables that with skewed distribution were reported as median (Q1, Q3). For data that follow normal distribution, we used paired t test for statistical comparison, and for data that do not follow normal distribution, we employed Wilcoxon signed-rank test for comparison. For comparisons between subgroups, we use ANOVA with Tukey's test or Kruskal–Wallis test with Dunn's multiple comparison test as appropriate. A value of p < 0.05 was considered statistically significant. Data were analyzed by SPSS software version 24.0 for Windows (SPSS Inc., Chicago, IL, USA).

Statistical analysis was performed using SPSS software version 24.0 for Windows (SPSS Inc., Chicago, IL, USA) and R statistical software (version 3.51). Two-tailed P (or P.adjusted) < 0.05 was considered statistically significant. Results of continuous variables were reported as mean ± standard deviation (SD), while categorical variables were reported as a number with a percentage. Comparison of basic characteristics between two groups was done by using the Student’s t-test for continuous variables which fulfilled homogeneity of variance and by using a chi-square test for categorical variables. Logistic regression was used to assess associations between rs35705950 SNP and genes enriched in the immunity pathway. Results of logistic regression are presented as odd ratio (OR) with 95% confidence intervals (CIs).

All statistical analyses were conducted using SPSS software version 24.0 for Windows (SPSS Inc., Chicago, IL, USA). Continuous data are presented as mean ± standard deviation (SD) if normally distributed, or as median (25th–75th percentiles), if not normally distributed. Continuous variables were compared using Student’s t test or the Mann–Whitney U test. Categorical variables are expressed as numbers and percentages and were analyzed using the χ² test or Fisher exact test. The effect of various variables on AS was calculated by univariate regression analysis. In these analyses, variants with unadjusted P < .1 were determined as confounding factors and were included in multivariate regression analyses to determine the independent predictors of AS. Spearman correlation analysis was used to identify factors associated with CIMT in the patient group. Linear regression analysis was performed to identify independent associates of CIMT in the patient group. A 2-tailed P < .05 was considered statistically significant during the study.

The Friedman test and the Wilcoxon sign-rank test with Bonferroni correction were used to compare WBC, Hb, platelet counts, MPV, PDW, PCT, TAT, FDP, and d-dimer levels, as appropriate. The paired t-test was used to compare the results from flow cytometry. Data with normal distribution were expressed as mean ± standard deviations (SD), otherwise it was expressed as median (25 percentile – 75 percentile). In addition, data in the coagulation study of only seven cases were expressed as mean ± standard errors (SE).
All variables with a p-value < 0.05 in the univariate analysis were considered statistically significant. Data were analyzed using R software, version 3.4.3 (The R Foundation for Statistical Computing, Vienna, Austria), SPSS software, version 24.0 for Windows (SPSS, Inc., Chicago, IL, USA).