Evidence map›Paper›PMID 41894384›Full record

ArticlePloS one2026

High-flux hemodialysis combined with nutritional intervention: Effects on the nutritional status and clinical outcomes of patients with renal failure.

Yang Liu, Rongrong Shen, Xuehua Pu, Yaqing Zhou, Binbin Zhang

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Article in PloS one, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yang LiuDepartment of Clinical Nutrition, Haian Hospital of Traditional Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nantong, Jiangsu Province, China.
Rongrong ShenDepartment of Critical Care Medicine, Jianhu People's Hospital, Yancheng, Jiangsu Province, China.
Xuehua PuThe Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, Jiangsu, China.ORCID https://orcid.org/0009-0004-1471-0633
Yaqing ZhouNanjing Medical University, Nanjing, Jiangsu Province, China.ORCID https://orcid.org/0000-0003-1887-872X
Binbin ZhangDepartment of Blood Purification Center, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the association between high-flux-based hemodialysis prescription combined with nutritional intervention and nutritional status and clinical outcomes in renal failure patients.

methodsPatients admitted between January 2020 and August 2024 were divided into an observation group (high-flux hemodialysis, n = 115) and a control group (Conventional blood purification, n = 115). Renal function [β2-microglobulin (β2-MG), serum creatinine (Scr), blood urea nitrogen (BUN)], inflammatory markers [interleukin-6 (IL-6), C-reactive protein (CRP), tumor necrosis factor-α (TNF-α)], and nutritional indices [serum albumin (ALB), prealbumin (PA), transferrin (SF)] were compared. Cox multivariate analysis identified prognostic factors.

resultsBoth groups exhibited post-treatment reductions in uremic markers (β2-MG: P < 0.05; Scr: P < 0.05; BUN: P < 0.05) and inflammation (IL-6: P < 0.05; CRP: P < 0.05; TNF-α:P < 0.05), with no baseline differences (P > 0.05). The observation group demonstrated significantly greater reductions in uremic markers and inflammatory markers versus controls (P < 0.05). Nutritional parameters (ALB, PA, SF) increased post-treatment in both groups (P < 0.05). Survival rates were higher in the observation group (P < 0.05). Deceased patients were predominantly≥60 years old, had cardiovascular comorbidities, and exhibited higher conventional blood purification utilization (P < 0.05).Lower ALB (P < 0.05) and elevated IL-6, CRP, TNF-α (P < 0.05) correlated with mortality.A reduced Cox model identified IL-6 (HR: 1.107, 95%CI: 1.063-1.153) and TNF-α (HR: 1.069, 95%CI: 1.012-1.130) as independent predictors of poor outcomes (P < 0.05).

conclusionsHigh-flux-based hemodialysis prescription with nutritional support was associated with more effective clearance of uremic markers, improvements in nutritional status and inflammatory response, as well as better survival in renal failure patients. Elevated IL-6 and TNF-α levels were identified as significant predictors of mortality in the reduced Cox model.

Indexed as

Kidney Failure, ChronicNutritional StatusRenal DialysisRenal InsufficiencyAgedBiomarkersBlood Urea NitrogenC-Reactive ProteinFemaleHumansInterleukin-6MaleMiddle AgedPrognosisTreatment OutcomeTumor Necrosis Factor-alphaBiomarkersC-Reactive ProteinInterleukin-6Tumor Necrosis Factor-alpha

Identifiers

PMID41894384
PMCPMC13028448

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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.