ArticleFrontiers in medicine2025
Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- PNI, CONUT, and GNRI for predicting treatment failure in peritoneal dialysis-associated peritonitis: a two-center retrospective study.Frontiers in nutrition · 2026Article
- Machine learning-based prediction of early-onset peritoneal dialysis-associated peritonitis: the role of the CONUT score.Frontiers in nutrition · 2025Article
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7 authors.
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Abstract
Background and Objective: Peritoneal dialysis (PD)-associated infections are the primary contributors to PD technique failure and patient mortality. Given these reasons, this study aims to identify independent risk factors for long-term infections in PD individuals and to construct an effective clinical prediction model using multivariate analysis. Methods: This study retrospectively analyzed 214 participants with ESRD who underwent PD catheterization at Wuxi No. 2 People's Hospital. Based on whether they developed infections or not after 3 months treatment of regular peritoneal dialysis, all patients were categorized into two cohorts: infected ( Results: Age ( Conclusion: Advanced age, lower PNI, and longer surgical incision length are closely linked to the occurrence of infections in PD individuals. The nomogram model which was based on this study showed high efficacy in predicting long-term infections and can serve as a reference to recognize individuals with a high likelihood of complications for medical caregivers as early as possible.
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