OBJECTIVE To explore the risk factors for peritoneal dialysis-associated peritonitis (PDAP) in the diabetes mellitus patients complicated with renal anemia and establish the risk prediction model so as to provide references for clinical diagnosis and treatment of PDAP.

METHODS A total of 142 type 2 diabetes mellitus patients who were complicated with renal anemia and underwent peritoneal dialysis in nephrology department of the First Teaching Hospital of Tianjin University of Traditional Chinese Medicine from Jan. 2017 to Dec. 2023 were recruited as the research subjects and were divided into the peritonitis group with 68 cases and the non-peritonitis group with 74 cases according to the status of complication with PDAP. The related data were collected, the univariate analysis and binary logistic regression analysis were performed, the risk prediction model was established, and the obtained model was visualized for further analysis.

RESULTS The univariate analysis showed that the age and levels of glycosylated hemoglobin, triglyceride and fibrinogen were higher in the peritonitis group than in the non-peritonitis group; the levels of serum potassium, serum iron and total iron binding capacity of the peritonitis group were lower than those of the non-peritonitis group, and there were significant differences (all P < 0.05). The binary logistic regression analysis indicated that glycosylated hemoglobin no less than 7.00%(OR=4.047, 95%CI: 1.663 to 9.847, P=0.002), no less than 60 years of age (OR=2.181, 95%CI: 1.039 to 4.578, P=0.039), triglyceride greater than 1.47 mmol/L (OR=2.393, 95%CI: 1.140 to 5.026, P=0.021) and serum iron less than 7.90 μmol/L (OR=2.582, 95%CI: 1.188 to 5.608, P=0.017) were the risk factors for the PDAP in the type 2 diabetes mellitus patients complicated with renal anemia.

CONCLUSIONS The glycosylated hemoglobin no less than 7.00%, no less than 60 years of age, triglyceride greater than 1.47 mmol/L and serum iron less than 7.90 μmol/L are the risk factors for PDAP in the type 2 diabetes mellitus patients complicated with renal anemia. The risk prediction model can be established based on the above factors, and the intervention measures should be actively taken so as to reduce the risk of PDAP and improve the quality of life.