Spss v 25.0 package

Statistical analyses were carried out using commercially available software (SPSS v.25.0 package, IBM, Chicago, IL). Values of p ≤ 0.05 were considered significant. Continuous data were assessed for normal distribution using the Kolmogorov-Smirnov test. These data were reported as means ± standard deviation (normal distributed values) or median, 25th/75th interquartiles (values not normally distributed). For the statistical evaluation of continuous variables, Student's t-test (normal distributed values), Mann–Whitney U test, or Kruskal-Wallis test (values not normally distributed) was used. Categorical variables were plotted in contingency tables and evaluated using the chi-square test and Yates continuity correction. If the expected cell frequency was <5, Fisher's exact test was applied.
Binary logistic regression analysis was used for investigating the impact of polymorphic variants on the occurrence of PD or RA considering established confounders.

Statistical analyses were carried out using commercially available software (SPSS v.25.0 package, IBM, Chicago, IL). Values of p ≤ 0.05 were considered significant. Continuous data were assessed for normal distribution using the Kolmogorov–Smirnov test and the Shapiro–Wilk test. All metric values were not normally distributed. Therefore, data were reported as median, 25/75th-interquartiles. For the statistical evaluation of continuous variables Mann–Whitney U-Test, or Kruskal–Wallis-Test were used. Categorical variables were plotted in contingency tables and evaluated using chi-square test and Yates continuity correction. If the expected cell frequency was < 5, Fisher’s exact test was applied.
Binary logistic regression analysis was used for investigating the impact of polymorphic variants on the occurrence of PD, RA and PD/RA comorbidity considering established confounders.

Statistical analyses were carried out using a commercial software (SPSS v.25.0 package, IBM, Chicago, IL, USA). Values of p < 0.05 were considered as significant. Categorical variables were documented as number and the corresponding percentage in brackets. For comparisons, the chi-squared test was employed. If the expected values in one group were <5, Fisher’s exact test was performed. Metric demographic, clinical, and serological data were checked for normal distribution using the Kolmogorov–Smirnov test and the Shapiro–Wilk test. As none of the metric values were normally distributed, they were plotted as median and 25th/75th percentiles. For statistical evaluation, the Mann–Whitney U test was used. Correlations between two variables were calculated using the Spearman correlation test. For multivariate cross-sectional analyses, binary logistic regression was applied. Univariate survival analyses were carried out with Kaplan–Meier curves and Log-Rank test. Cox regression was applied in order to generate adjusted HRs. A receiver-operating characteristic (ROC) analysis including determining the Youden-index was carried out in order to measure the optimal threshold values for sAF and sRAGE to distinguish patients with and without a cardiovascular endpoint after CABG surgery.