Cargando…
Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study
BACKGROUND: Haemodialysis (HD) patients are burdened by frequent fluid shifts which amplify their comorbidities. Bioimpedance (bioZ) is a promising technique to monitor changes in fluid status. The aim of this study is to investigate if the thoracic bioZ signal can track fluid changes during a HD se...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353684/ https://www.ncbi.nlm.nih.gov/pubmed/32652949 http://dx.doi.org/10.1186/s12882-020-01922-6 |
_version_ | 1783557933828669440 |
---|---|
author | Schoutteten, Melanie K. Vranken, Julie Lee, Seulki Smeets, Christophe J. P. De Cannière, Hélène Van Hoof, Chris Peeters, Jacques Groenendaal, Willemijn Vandervoort, Pieter M. |
author_facet | Schoutteten, Melanie K. Vranken, Julie Lee, Seulki Smeets, Christophe J. P. De Cannière, Hélène Van Hoof, Chris Peeters, Jacques Groenendaal, Willemijn Vandervoort, Pieter M. |
author_sort | Schoutteten, Melanie K. |
collection | PubMed |
description | BACKGROUND: Haemodialysis (HD) patients are burdened by frequent fluid shifts which amplify their comorbidities. Bioimpedance (bioZ) is a promising technique to monitor changes in fluid status. The aim of this study is to investigate if the thoracic bioZ signal can track fluid changes during a HD session. METHODS: Prevalent patients from a single centre HD unit were monitored during one to six consecutive HD sessions using a wearable multi-frequency thoracic bioZ device. Ultrafiltration volume (UFV) was determined based on the interdialytic weight gain and target dry weight set by clinicians. The correlation between the bioZ signal and UFV was analysed on population level. Additionally regression models were built and validated per dialysis session. RESULTS: 66 patients were included, resulting in a total of 133 HD sessions. Spearman correlation between the thoracic bioZ and UFV showed a significant strong correlation of 0.755 (p < 0.01) on population level. Regression analysis per session revealed a strong relation between the bioZ value and the UFV (R(2) = 0.982). The fluid extraction prediction error of the leave-one-out cross validation was very small (56.2 ml [− 121.1–194.1 ml]) across all sessions at all frequencies. CONCLUSIONS: This study demonstrated that thoracic bioZ is strongly correlated with fluid shifts during HD over a large range of UFVs. Furthermore, leave-one-out cross validation is a step towards personalized fluid monitoring during HD and could contribute to the creation of autonomous dialysis. |
format | Online Article Text |
id | pubmed-7353684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73536842020-07-14 Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study Schoutteten, Melanie K. Vranken, Julie Lee, Seulki Smeets, Christophe J. P. De Cannière, Hélène Van Hoof, Chris Peeters, Jacques Groenendaal, Willemijn Vandervoort, Pieter M. BMC Nephrol Technical Advance BACKGROUND: Haemodialysis (HD) patients are burdened by frequent fluid shifts which amplify their comorbidities. Bioimpedance (bioZ) is a promising technique to monitor changes in fluid status. The aim of this study is to investigate if the thoracic bioZ signal can track fluid changes during a HD session. METHODS: Prevalent patients from a single centre HD unit were monitored during one to six consecutive HD sessions using a wearable multi-frequency thoracic bioZ device. Ultrafiltration volume (UFV) was determined based on the interdialytic weight gain and target dry weight set by clinicians. The correlation between the bioZ signal and UFV was analysed on population level. Additionally regression models were built and validated per dialysis session. RESULTS: 66 patients were included, resulting in a total of 133 HD sessions. Spearman correlation between the thoracic bioZ and UFV showed a significant strong correlation of 0.755 (p < 0.01) on population level. Regression analysis per session revealed a strong relation between the bioZ value and the UFV (R(2) = 0.982). The fluid extraction prediction error of the leave-one-out cross validation was very small (56.2 ml [− 121.1–194.1 ml]) across all sessions at all frequencies. CONCLUSIONS: This study demonstrated that thoracic bioZ is strongly correlated with fluid shifts during HD over a large range of UFVs. Furthermore, leave-one-out cross validation is a step towards personalized fluid monitoring during HD and could contribute to the creation of autonomous dialysis. BioMed Central 2020-07-11 /pmc/articles/PMC7353684/ /pubmed/32652949 http://dx.doi.org/10.1186/s12882-020-01922-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Technical Advance Schoutteten, Melanie K. Vranken, Julie Lee, Seulki Smeets, Christophe J. P. De Cannière, Hélène Van Hoof, Chris Peeters, Jacques Groenendaal, Willemijn Vandervoort, Pieter M. Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title | Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title_full | Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title_fullStr | Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title_full_unstemmed | Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title_short | Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
title_sort | towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study |
topic | Technical Advance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353684/ https://www.ncbi.nlm.nih.gov/pubmed/32652949 http://dx.doi.org/10.1186/s12882-020-01922-6 |
work_keys_str_mv | AT schouttetenmelaniek towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT vrankenjulie towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT leeseulki towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT smeetschristophejp towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT decannierehelene towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT vanhoofchris towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT peetersjacques towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT groenendaalwillemijn towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy AT vandervoortpieterm towardspersonalizedfluidmonitoringinhaemodialysispatientsthoracicbioimpedancesignalshowsstrongcorrelationwithfluidchangesacohortstudy |