Statistical analysis
REGRESSION
Statistical analysis was performed using JASP open-source statistics package version 0.16.3. Descriptive statistics included sample sizes, mean and standard deviation or median and interquartile range (IQR), as appropriate. Shapiro–Wilk test was used to assess normality distribution of data. Associations between categorical variables (i.e., association between different symptoms and response to treatment) were analyzed using contingency tables with Chi-Square test with Yates' continuity correction. Differences between paired categorical variables (i.e., presence/absence of MSM at different timepoints during treatment) were assessed using McNemar’s test. Differences between paired continuous variables (i.e., prednisone load at different timepoints during treatment) were analyzed by Friedman’s test and Conover’s post-hoc test. Dichotomic outcomes were predicted by logistic regression analysis. The threshold for statistical significance was set to 