AimPeritoneal dialysis (PD)-associated peritonitis (PDAP) is a severe complation of PD. And it is an important issue about whether it can be cured. At present, there is no available prediction model for peritonitis cure. Therefore, the present work aimed to develop and validate a risk prediction model for peritonitis cure in PDAP patients.MethodsPD patients who developed PDAP from four dialysis centers in Northeast China were followed up. According to the region of PD, data were divided into training and validation datasets. First of all, a nomogram for peritonitis cure was established based on the training dataset. Later, performance of the nomogram model was assessed by discrimination (C-statistic), calibration and decision curves. ResultsIn total, 1063 episodes of peritonitis were included in the final analysis, including 806 in the training dataset and 257 in the validation dataset. During the follow-up period, 621 and 199 cases in the training and validation datasets, respectively, reported peritonitis cure. Predictors incorporated in the final nomogram model included PD duration, serum albumin, antibiotics prior to admission, and type of causative organisms. The C-statistic values were 0.76 (95% CI: 0.72–0.80) in the training dataset and 0.77 (95% CI: 0.70–0.84) in the validation dataset. The nomogram exhibited favorable performance in terms of calibration in both the training and validation datasets.ConclusionThis study develops a practical and convenient nomogram for the prediction of peritonitis cure in PDAP patients, which assists in the clinical decision-making.