Evidence map›Paper›PMID 32652949›Full record

ArticleBMC nephrology2020

Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study.

Melanie K Schoutteten, Julie Vranken, Seulki Lee, Christophe J P Smeets, Hélène De Cannière, Chris Van Hoof, Jacques Peeters, Willemijn Groenendaal, Pieter M Vandervoort

Abstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Artificial intelligence and digital health for volume maintenance in hemodialysis patients.Hemodialysis international. International Symposium on Home Hemodialysis · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Melanie K SchouttetenUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium. melanie.schoutteten@uhasselt.be.ORCID 0000-0002-7217-2405
Julie VrankenUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium.
Seulki Leeimec the Netherlands/Holst Centre, Connected Health Solutions Department, High Tech Campus 31, Eindhoven, the Netherlands.
Christophe J P SmeetsUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium.
Hélène De CannièreUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium.
Chris Van Hoofimec Leuven, Kapeldreef 75, 3001, Leuven, Belgium.
Jacques PeetersUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium.
Willemijn Groenendaalimec the Netherlands/Holst Centre, Connected Health Solutions Department, High Tech Campus 31, Eindhoven, the Netherlands.
Pieter M VandervoortUHasselt, Faculty of Medicine and Life Sciences, Limburg Clinical Research Center/Mobile Health Unit, Agoralaan, 3590, Diepenbeek, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaemodialysis (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.

methodsPrevalent 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.

results66 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

conclusionsThis 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.

Indexed as

Body WaterElectric ImpedanceExtracellular FluidIntracellular FluidAgedAged, 80 and overCohort StudiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedProspective StudiesRenal DialysisBioimpedanceChronic kidney diseaseFluid changeHaemodialysisThoracic

Identifiers

PMID32652949
PMCPMC7353684

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.