Statistical Analysis
All statistical analysis was performed out using SPSS Statistics
software version 26.0 (IBM, Armonk, NY, USA). Continuous variables were
expressed as the appropriate means and standard deviations or medians
and interquartile ranges. Categorical variables were summarized as the
counts and percentages in each category. One-way analysis of variance
(ANOVA), Kruskal–Wallis test, Student’s T-test, and Mann Whitney U
tests were applied to continuous variables, and chi-square and Fisher’s
exact tests were used for categorical variables. Binary logistic
regression analysis was used to determine the predictive effect of age,
proteinuria, and all other significant factors on disease severity. The
optimal cut-off value of age was calculated by applying the receiver
operating curve (ROC) analysis. A value of P <0.05 was
considered statistically significant.