Evidence map›Paper›PMID 41711741›Full record

ArticleESC heart failure2026

Bioimpedance-derived compartmental fluid status and prognosis in chronic heart failure.

Jorge Montiel, Alicia Lucas, Pablo Peiró, Gonzalo Núñez, Miguel Lorenzo, Andrea Gasull, Gema Miñana, Anna Mollar, Enrique Santas, José Luis Górriz and 3 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Jorge MontielCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
Alicia LucasInternal Medicine Department, Hospital Clínico Universitario de Valencia, Valencia, Spain.
Pablo PeiróDepartment of Medicine, Universitat de València, Valencia, Spain.
Gonzalo NúñezCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
Miguel LorenzoCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.ORCID 0000-0001-9182-4459
Andrea GasullCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
Gema MiñanaCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.ORCID 0000-0001-8777-2588
Anna MollarCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
Enrique SantasCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
José Luis GórrizDepartment of Medicine, Universitat de València, Valencia, Spain.
Juan SanchisCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.ORCID 0000-0003-0797-8709
Julio NúñezCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.
Rafael de la EspriellaCardiology Department, Hospital Clínico Universitario de Valencia, Avda. Blasco Ibáñez 17, Valencia 46010, Spain.ORCID 0000-0002-8720-3999

Funding

CIBER Cardiovascular 16/11/00420Ministry of Science, Innovation and Universities
6 · The paper itself

Abstract

introductionNovel bioimpedance analysis (BIA) devices may improve the precision of fluid overload assessment, potentially offering additional prognostic information beyond clinical parameters in patients with HF. This study aimed to evaluate the association between fluid overload indexes obtained with a novel bioelectrical impedance device (BioScan touch i8 IVF, MALTRON®) and the risk of cardiovascular events in ambulatory patients with HF.

methodsVolume excess was assessed using BioScan Touch i8 IVF (MALTRON), which differentiates fluid distribution across body compartments. Volume-excess variables (total, intravascular, and tissue) were analysed both as quartiles (Q) and as continuous measures. Their independent associations with the composite of all-cause death or worsening HF were adjusted for established prognostic markers, including a clinical congestion score (CCS) and N-terminal pro-B-type natriuretic peptide.

resultsAmong 386 ambulatory patients with stage C chronic HF, median total, intravascular, and tissue fluid excess were 1.3 L (Q1-Q3: 0.5, 2.3), 0.1 L (Q1-Q3: -0.1, 0.4), and 1.9 L (Q1-Q3: 1.1, 2.8), respectively. Total and tissue fluid excess had the strongest correlation with the CCS (Total fluid excess rho = 0.31; P < .001, tissue fluid excess rho = 0.33; P < .001). In adjusted analyses, patients in the highest quartile had significantly higher risk of the composite outcome compared with Q1: total fluid excess hazard ratio (HR) 2.11 [95% confidence interval (CI) 1.21-4.05, P = .010], intravascular fluid excess HR 2.16 (1.19-3.90, P = .011), and tissue fluid excess HR 2.81 (1.49-5.32, P = .001).

conclusionCompartment-specific estimates of fluid overload obtained with the BioScan Touch i8 IVF were independently associated with adverse outcomes in ambulatory patients with chronic HF, beyond NT-proBNP and clinical surrogates of congestion. These findings support the potential role of BIA-derived indexes, particularly tissue fluid excess, as complementary tools for risk stratification in this population.

Indexed as

Body CompositionBody FluidsElectric ImpedanceHeart FailureStroke VolumeAgedChronic DiseaseFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisBioimpedance analysisChronic heart failureCongestion

Identifiers

PMID41711741
PMCPMC13108313

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.