Spss 25.0 package

Continuous variables with a normal distribution are expressed as the mean ± standard deviation and were compared via Student’s t test. Skewed distributed continuous variables were expressed as medians (interquartile ranges) and compared with the Mann–Whitney U test or the Kruskal–Wallis test. Categorical variables were expressed as frequencies (percentages) and compared via the chi-squared test. The P value for multiple comparisons was corrected according to the Bonferroni method. Spearman’s rank correlation was applied to detect the association between Hcy and clinicopathological features in IgAN patients. Univariate and multivariate logistic regression analyses were performed to identify the risk factors for elevated Hcy. A multivariate logistic regression model was created using stepwise forward LR to identify the variables that were independently associated with elevated Hcy selected from the variables with P < 0.1 in univariate logistic regression analysis. We further carried out analysis in the subgroup with normal renal function patients based on eGFR ≥90 ml/min/1.73 m² to modify the effect of renal impairment. The data were analyzed using the SPSS 25.0 package (Chicago, IL, USA). All the P values were two-tailed, and P < 0.05 was considered significant in all statistical tests.

SPSS 25.0 package (SPSS Inc, Chicago, IL) was used for data analysis. Data are presented as the means ± standard deviation (SD). ANOVA and LSD were performed for the comparisons between two groups. P values less than 0.05 were considered significant.