Evidence map›Paper›PMID 39854572›Full record

ArticlePloS one2025

Phase angle in bioelectrical impedance analysis for assessing congestion in acute heart failure.

Sangho Sohn, Jinsung Jeon, Ji Eun Lee, Soo Hyung Park, Dong Oh Kang, Eun Jin Park, Dae-In Lee, Jah Yeon Choi, Seung Young Roh, Jin Oh Na and 6 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Observational
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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

16 authors.

Sangho SohnDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0003-2736-3461
Jinsung JeonDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Ji Eun LeeCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Soo Hyung ParkCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Dong Oh KangCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Eun Jin ParkCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Dae-In LeeCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Jah Yeon ChoiCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Seung Young RohCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Jin Oh NaCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Cheol Ung ChoiCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Jin Won KimCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Seung Woon RhaCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Chang Gyu ParkCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
Sunki LeeCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0002-5247-7981
Eung Ju KimCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe phase angle (PhA) in bioelectrical impedance analysis (BIA) reflects the cell membrane integrity or body fluid equilibrium. We examined how the PhA aligns with previously known markers of acute heart failure (HF) and assessed its value as a screening tool.

methodsPhA was measured in 50 patients with HF and 20 non-HF controls along with the edema index (EI), another BIA parameter suggestive of edema. Chest computed tomography-measured lung fluid content (LFC) was used to assess pulmonary congestion. A correlation analysis was conducted to evaluate the relationships between PhA and EI, NT-proBNP, and LFC. Receiver operating characteristic (ROC) curve analysis was used to determine the cut-off values for PhA and EI for classifying patients with HF. The area under the curve (AUC) was compared using the DeLong test to evaluate the performance of PhA and EI compared to that of LFC in correctly classifying HF.

resultsThe PhA levels were significantly lower in the HF group. Whole-body PhA was 4.49° in the HF group and 5.68° in the control group. Moderate and significant correlation was observed between PhA measured at 50-kHz and both NT-proBNP (-0.56 to -0.27, all p-values<0.05) and LFC (-0.52 to -0.41, all p-values <0.05). The AUC for whole-body PhA was 0.827 (confidence interval [CI] 0.724-0.931, p<0.01) and was 0.883 (CI 0.806-0.961, p<0.01) for EI, and the optimal cutoffs were estimated as 5° (sensitivity 0.84, specificity 0.80) and 0.394 (sensitivity 0.78, specificity 0.95), respectively. When both PhA and EI were included in the model, the AUC increased to 0.905, and this was comparable to that of LFC (AUC = 0.913, p = 0.857).

conclusionsPhA exhibited a correlation with known markers of HF and demonstrated its potential as a non-invasive screening tool for the early detection of HF exacerbation. The combined use of PhA and EI can provide a robust alternative for routine self-monitoring in patients with HF, thereby enhancing early intervention.

Indexed as

Electric ImpedanceHeart FailureAcute DiseaseAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsROC CurveBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)

Identifiers

PMID39854572
PMCPMC11759352

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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.