ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2022
[Development and validation of a prediction model for treatment failure in peritoneal dialysis-associated peritonitis patients: a multicenter study].
Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 3 citations in OpenAlex.
- Risk factors associated with treatment failure in peritoneal dialysis-associated peritonitis.Experimental and therapeutic medicine · 2026Article
- Unveiling risk factors: a prognostic model of frequent peritonitis in peritoneal dialysis patients.Frontiers in medicine · 2025Article
- Development and validation of a nomogram for predicting refractory peritoneal dialysis related peritonitis.Renal failure · 2024Article
- Development of a clinical risk score system for peritoneal dialysis-associated peritonitis treatment failure.BMC nephrology · 2023Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and validate a risk prediction model of treatment failure in patients with peritoneal dialysis-associated peritonitis (PDAP).
methodsWe retrospectively analyzed the data of patients undergoing peritoneal dialysis (PD) in 3 dialysis centers in Jilin Province who developed PDAP between January 1, 2013 and December 31, 2019. The data collected from the Second Hospital of Jilin University and Second Division of First Hospital of Jilin University) were used as the training dataset and those from Jilin Central Hospital as the validation dataset. We developed a nomogram for predicting treatment failure using a logistic regression model with backward elimination. The performance of the nomogram was assessed by analyzing the C-statistic and the calibration plots. We also plotted decision curves to evaluate the clinical efficacy of the nomogram.
resultsA total of 977 episodes of PDAP were included in the analysis (625 episodes in the training dataset and 352 episodes in the validation dataset). During follow-up, 78 treatment failures occurred in the training dataset and 35 in the validation dataset. A multivariable logistic regression prediction model was established, and the predictors in the final nomogram model included serum albumin, peritoneal dialysate white cell count on day 5, PD duration, and type of causative organisms. The nomogram showed a good performance in predicting treatment failure, with a C-statistic of 0.827 (95%
conclusionThe established nomogram has a good accuracy in estimating the risk of treatment failure in PDAP patients.
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