ArticleFrontiers in nutrition2025
Effectiveness of CONUT and NRI as nutritional risk screening tools in peritoneal dialysis: a multicenter study.
Article in Frontiers in nutrition, 2025. 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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Who cites it
4 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
- Joint effects of diabetes and time-weighted average multidimensional nutritional indices on mortality in patients undergoing peritoneal dialysis: a landmark analysis.Frontiers in nutrition · 2026Article
- Association between objective nutritional indices and malnutrition inflammation score in peritoneal dialysis patients.Frontiers in nutrition · 2025Article
- Correlation between controlling nutritional status score and mortality risk in older Japanese adults diagnosed with dysphagia: a retrospective cohort study.Frontiers in nutrition · 2025Article
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Nutritional risk is a significant concern for patients undergoing peritoneal dialysis (PD), adversely affecting their quality of life and increasing the risk of infections and complications. Effective screening tools are needed to identify high-risk patients for targeted interventions. This study investigates whether different nutritional assessment methods, like the Controlling Nutritional Status (CONUT) score and Nutritional Risk Index (NRI), correlate with patient prognosis, highlighting the importance of selecting appropriate screening tools to improve clinical outcomes in PD patients. Methods: This multicenter retrospective cohort study initially collected data from 2,427 patients across 10 centers, but ultimately included a cohort of 2,105 PD patients to evaluate the prevalence of malnutrition assessed using both the CONUT and NRI and its independent effects on all-cause mortality. Statistical analyses included log-rank tests, Cox regression models and the receiver operating characteristic curves to evaluate the association between nutritional risk and mortality. Results: Our findings revealed that 76.58% of patients were classified as having nutritional risk according to the CONUT score, while 79.10% by the NRI. Patients with nutritional risk exhibited a significantly higher all-cause mortality rate (log-rank test, Conclusion: CONUT and NRI are effective for initial nutritional risk screening in PD patients, enabling clinicians to identify risk individuals who should undergo diagnostic assessments for a more comprehensive nutritional evaluation. Their simplicity and ease of implementation support integration into routine practice, making it feasible for healthcare providers to conduct regular screenings. Future studies should validate dynamic monitoring approaches.
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