Prism version 8

Patient date of death (DOD), date of last follow-up, and time to progression were used to generate Kaplan-Meier plots of OS and PFS followed by log-rank tests. For OS analyses, DOD was used as a primary end point. Patients still alive were censored at the time of last follow-up. Time of progression was used as the primary end point for PFS analyses, and DOD was used as the secondary end point for patients without a progression date. Statistical analyses including pairwise comparisons and Cox proportional hazard models were done using Prism version 8 and SPSS statistical software version 27 (IBM Corp). Hazard ratios were calculated using the Mantel-Haenszel method and reported with a 95% CI and a significance cut-off of P < .05. All tests were 2-tailed. Royston D statistics were calculated for each prognostic model. Follow-up duration was determined using the reverse Kaplan-Meier method. All analyses were conducted with SAS version 9.4 (SAS Institute).

IBM SPSS version 25.0 (Chicago, IL, USA) and Prism version 8 (San Diego, CA, USA) were used for data analysis. Descriptive summary measures including frequency, percentages, mean with standard deviation (SD) and median with interquartile range (IQR) were used to describe basic features of the study data. Chi-square test was used to determine associations between categorical variables. Shapiro-Wilk test was used to determine normality. A Bonferroni-adjusted Mann-Whitney U test was used to compare biomarker concentrations by group. Binary logistic regression was used to identify predictors of disease severity. Receiver operating characteristics (ROC) curve was employed to set cutoff points to predict disease status and disease severity, and the Spearman rank correlation was done to see the correlation between inflammatory mediators. P-value < 0.05 was considered as statistically significant.