Evidence map›Paper›PMID 42824174›Full record

ArticleFrontiers in nutrition2026

Impact of incremental peritoneal dialysis on long-term nutritional trajectories in end-stage kidney disease: a longitudinal cohort study.

Yaohua Hu, Xiaohua Zhuang, Jingzhu Zhai, Xinyu Gao, Wenpeng Cui

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Yaohua HuDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Xiaohua ZhuangDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Jingzhu ZhaiDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Xinyu GaoDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, Jilin, China.
Wenpeng CuiDepartment of Nephrology, The Second Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Incremental peritoneal dialysis (IPD) seeks to reduce the immediate treatment burden by utilizing residual kidney function. However, its long-term effects on nutritional status remain unclear. This study investigated how an initial IPD strategy influences the longitudinal trajectories of the prognostic nutritional index (PNI) in patients with end-stage kidney disease (ESKD). Methods: This retrospective study included patients who received peritoneal dialysis (PD) at the Second Hospital of Jilin University between January 2016 and July 2024. We employed linear mixed-effects models to analyze population-level trends in PNI. Group-based trajectory modeling (GBTM) was utilized to identify patterns of PNI evolution, while multivariable Cox models assessed the relationship between these patterns and all-cause mortality. Additionally, multivariable logistic regression, which included multiple imputation and entropy balancing-derived inverse probability weights (IPW), was used to explore the independent association between the type of dialysis and trajectory membership. Results: A total of 311 patients who initiated PD between 2016 and 2024 were included, of whom 230 received full-dose PD and 81 received IPD. Throughout the follow-up period, 80.25% of patients on IPD were transitioned to full-dose PD at a median of 10 months. Mixed-effects modeling indicated no significant differences in PNI levels or rates of decline between the two modalities (time-by-modality interaction P = 0.378). GBTM revealed three distinct PNI trajectories: low, moderate, and high. The high-level trajectory was associated with a significantly reduced risk of mortality compared to the low-level group (fully adjusted HR = 0.17, P < 0.001). However, in IPW-adjusted models, the initial dialysis modality did not show an independent association with any specific PNI trajectory. These findings remained consistent across multiple sensitivity analyses. Conclusions: When accompanied by dynamic prescription adjustments, IPD sustains mid- to long-term nutritional trajectories that are comparable to those achieved with full-dose PD.

Indexed as

end-stage kidney disease (ESKD)incremental peritoneal dialysisinverse probability weightingnutritional trajectoriesprognostic nutritional index

Identifiers

PMID42824174
PMCPMC13627045

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.