Statistical analysis
Data are expressed as scatter dot plots with medians or as box and
whisker plots showing the smallest observation, lower quartile, median,
upper quartile, and largest observation or as medians with interquartile
ranges. Mann-Whitney U test or Kruskal-Wallis test followed by
Dunn’s multiple comparisons post test was performed for statistical
analysis. Non-parametric Spearman’s Rank Correlation Coefficient was
used to analyze correlations. To determine the discriminative power of
human soluble CXCL16 for 28-day mortality, receiver-operating
characteristic (ROC) curves were constructed and the area under the
curve (AUC) was determined with its 95% confidence interval (CI). For
comparisons of AUCs, the Z-test formula was used. Binary logistic
regression analysis was performed to determine the independent
predictors of 28-day mortality. For survival studies, Kaplan–Meier
analyses followed by log-rank tests were performed. All analyses were
done with GraphPad Prism version 5.01 (GraphPad Software, San Diego,
CA). p values less than 0.05 were considered statistically
significant.