Spss statistics 25.0 program

Data are shown as box plots and here the median values, lower and upper quartiles and the range of the values are given. Statistical tests used were Mann–Whitney U Test (to test for significant differences between two independent groups), Spearman correlation (non-parametric correlation analysis), one-way Anova with post-hoc Bonferroni (for comparison of three groups) or Kruskall–Wallis test (for comparison of more than three groups where one of the groups had only 1 patient) (SPSS Statistics 25.0 program, International Business Machines Corporation, Armonk, New York, USA). Chi-square test was used to analyze gender and comorbidity distribution. A value of p < 0.05 was regarded as significant. Outliners—greater than 1.5 times the interquartile range—are given as circles, and outliners—greater than 3.0 times the interquartile range—are given as stars.

Data are presented as boxplots. Statistical differences were analyzed by Mann Whitney U-test or Kruskal-Wallis Test and associations between two measures were analyzed by Spearman correlation (SPSS Statistics 25.0 program, IBM, Leibniz Rechenzentrum, München, Germany), and a value of p < 0.05 was regarded significant.

Data are shown as boxes, and the mean value ± standard deviation is given. Boxplots (minimum, maximum, median, first and third quartiles, small circles or asterisks above or below the boxes mark outliers) were used in the case that only one lipid/lipid ratio was shown.
The Mann–Whitney U-test, one-way ANOVA, Kruskal–Wallis-test or t-test were used (SPSS Statistics 25.0 program, IBM, Armonk, New York, NY, USA; and Microsoft Excel 2016, Redmond, Washington, DC, USA). A value of p < 0.05 after adjusting for multiple comparisons was regarded as significant.