Statistical analysis
TNF-α
ADVERSE EVENTS, DISEASE PROGRESSION
Categorical variables, including adverse events (AEs), utilization, and discontinuation of concomitant medicine, were summarized as percentages within their respective categories. Biochemical parameters were subjected to multiple analysis. For the evaluation of interleukin modulation during disease progression, the relative amount of each interleukin concerning its baseline value on day 0 was computed for each subject. This data normalization was conducted to assess the increase or decrease in the levels of each measured interleukin and identify possible significant differences between groups. An increase in interleukin levels was identified when the relative amount exceeded or equaled 140%, whereas a decrease was established when the relative amount was 50% or more. To identify significant differences among groups, a repeated-measures analysis of variance (ANOVA) was employed to analyze antibody titers and relative interleukin amounts. Subsequent pairwise comparisons of group means were performed using Tukey’s multiple range test. Statistical significance was attributed to values with p ≤ 0.05. To analyze the influence among the main measured interleukins, a Spearman correlation analysis was performed on the concentration data of IL-6, IL-8, IL-1β, and TNF-α in relation to IL-17A for each group. Correlation coefficients (r