Statistical analysis
hyperkalemia, peritonitis
METABOLIC ACIDOSIS, PERITONITIS
All the data were processed with SPSS 25.0. Measurement data with a normal distribution were expressed as means ± standard deviation, and comparisons between groups were analyzed using independent sample t-tests. Nonnormally distributed data were expressed as medians and interquartile ranges. The enumeration data were expressed as percentages, and the Chi-squared test was used to compare groups. We used the mixed-effects repeated-measures model to analyze the mean changes from baseline in iron biomarker levels, hemoglobin levels and lipid metabolism levels over week 24. Before analyzing the above parameters, logarithmic transformation of the values of sFt and EPO were carried out to make them meet the normal distribution. Safety was monitored by assessment of changes in blood pressure and the incidence of hyperkalemia, metabolic acidosis, and peritonitis during treatment. Bitailed 