| Literature DB >> 28834362 |
Nicolás Macías1, Almudena Vega1, Soraya Abad1, Alba Santos1, Santiago Cedeño1, Tania Linares1, Ana María García-Prieto1, Inés Aragoncillo1, Claudia Yuste1, Juan Manuel López-Gómez1.
Abstract
Chronic malnutrition is a common problem in patients with end-stage renal disease on hemodialysis. Some studies have reported albumin loss into dialysis fluid during postdilution online hemodiafiltration (OL-HDF). The aim of the study was to assess the nutritional status of patients on high-volume OL-HDF and to demonstrate that higher convective clearances are not associated with malnutrition due to possible loss of nutrients with ultrafiltration. Demographic and clinical data, corporal composition with bioimpedance spectroscopy, dialysis features, albumin loss into dialysis fluid and laboratory parameters were collected in twenty-eight patients with ESRD undergoing postdilution OL-HDF with stable convective volumes over 28 L/session. Convective volume (CV) in the last six months was 32.51 ± 3.52 L per session. Cross-sectional analysis of dialysis features showed 32.7 ± 3.34 L of CV and high reduction rates of beta-2-microglobulin (84.2 ± 3.8%) and cystatin-C (81.6 ± 3.47%). Beta-2-microglobulin reduction showed a positive correlation with prealbumin levels (P = 0.048). CV was only correlated with cystatin-C reduction (P = 0.025). Estimated albumin loss into dialysis fluid (1.82 ± 1.05 g/session) was not related to laboratory or bioimpedance nutritional parameters, or to CV. Among patients with higher CV, serum albumin levels maintained more stability during the observational period. High volume OL-HDF results in better convective clearances and is not associated with malnutrition. Albumin and nutrients loss into dialysis fluid should not be a limiting factor of the substitution volume.Entities:
Keywords: Albumin loss; Bioimpedance; Convective transport; Hemodiafiltration; High volume; Malnutrition
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Year: 2017 PMID: 28834362 DOI: 10.1111/1744-9987.12602
Source DB: PubMed Journal: Ther Apher Dial ISSN: 1744-9979 Impact factor: 1.762