Evidence map›Paper›PMID 41711732›Full record

ArticleESC heart failure2026

Residual congestion at discharge assessed by bioelectrical impedance and its prognostic value in acute heart failure: a multi-centre, prospective registry study.

Sangho Sohn, Jah Yeon Choi, Mi-Na Kim, Seongwoo Han, Myung Soo Park, Min Gyu Kong, Sung-Hea Kim, Yong-Hyun Kim, Sang-Ho Jo, Sungeun Kim and 4 more

Abstract readMulticenter Study
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Sangho SohnDepartment of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0003-2736-3461
Jah Yeon ChoiCardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.ORCID 0000-0002-6793-4137
Mi-Na KimDepartment of Cardiology, Korea University Anam Hospital, Seoul, South Korea.ORCID 0000-0001-6589-5122
Seongwoo HanDepartment of Cardiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea.
Myung Soo ParkDepartment of Cardiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea.ORCID 0000-0002-8352-5069
Min Gyu KongDepartment of Cardiology, Soon Chun Hyang University Hospital, Bucheon, South Korea.ORCID 0000-0003-1336-5319
Sung-Hea KimDepartment of Cardiology, Konkuk University Hospital, Seoul, South Korea.ORCID 0000-0001-5809-7958
Yong-Hyun KimDepartment of Cardiology, Korea University Ansan Hospital, Ansan, South Korea.
Sang-Ho JoDepartment of Cardiology, Hallym University Sacred Heart Hospital, Anyang, South Korea.ORCID 0000-0002-2063-1542
Sungeun KimDepartment of Cardiology, Hallym University Kangdong Sacred Heart Hospital, Seoul, South Korea.
Seonghoon ChoiDepartment of Cardiology, Hallym University Kangnam Sacred Heart Hospital, Seoul, South Korea.ORCID 0000-0002-6524-6090
Seong-Mi ParkDepartment of Cardiology, Korea University Anam Hospital, Seoul, South Korea.ORCID 0000-0002-6710-685X
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.ORCID 0000-0003-2322-6267

Funding

Hanmi PharmaceuticalYuhan Corporation
6 · The paper itself

Abstract

introductionResidual congestion at discharge is an important risk factor for early readmission and mortality in acute heart failure (AHF); however, it is often underestimated. This study aimed to evaluate the clinical value of oedema index (EI) and phase angle (PA) from bioelectrical impedance analysis (BIA) in assessing residual congestion and predicting short-term outcomes in patients with AHF.

methodsA multi-centre registry database from the steady movement with innovating leadership for heart failure (HF) between 2019 and 2023 was analysed. EI and PA were measured using direct segmental multi-frequency BIA device. The worsening heart failure events (WHF) were defined as a composite of HF readmission and all-cause mortality at 90- and 180-days. Receiver operating characteristic analysis determined the EI and PA cut-off values. Logistic regression and Cox proportional hazard analyses were used to assess the associations between BIA parameters and clinical outcomes.

resultsA total of 600 patients were included, of whom 360 (60%) were male, with a median age of 72.1 years. Within 180 days, 63 patients (11%) experienced WHFs. EI (odds ratio [OR] 1.83; 95% confidence interval [CI] 1.43-2.35 at 90 days, OR 1.76; CI 1.44-2.14 at 180 days, all P < .01) and PA (OR 0.93; CI 0.90-0.96 at 90 days, OR 0.94; CI 0.91-0.96 at 180 days, all P < .01) showed correlation in univariate analysis. EI ≥ 0.4 and PA < 4.5° were identified as prognostic thresholds for unfavourable outcomes, with predictive values of 75% (P < .01, sensitivity 83%, and specificity 56%), and 71% (P < .01, sensitivity 81%, and specificity 54%), respectively. Increased EI (adjusted hazard ratio [aHR] 1.71; CI 1.26-2.31 at 90 days, aHR 1.64; CI 1.30-2.07 at 180 days, all P < .01) and decreased PA (aHR 0.91; CI 0.86-0.96 at 90 days, aHR 0.92; CI 0.89-0.97 at 180 days, all P < .01) were independently associated with WHFs. Based on the estimated cut-offs, when EI and PA were considered together to classify the high-risk BIA group (EI ≥ 0.4 and PA < 4.5°), the risk was apparently increased (aHR 6.79; CI 1.71-26.93 at 90 days, aHR 3.43; CI 1.41-8.32 at 180 days, all P < .05) compared with normal BIA (EI < 0.4 and PA ≥ 4.5°) group.

conclusionThe EI and PA measured at discharge independently predicted short-term WHFs in patients with AHF. The suggested thresholds for identifying patients at high-risk of residual congestion were EI ≥ 0.4 and PA < 4.5°. As a non-invasive and accessible modality, BIA holds promise as a complementary tool to established biomarkers for evaluating congestion at discharge.

Indexed as

Electric ImpedanceHeart FailurePatient DischargeRegistriesAcute DiseaseAgedFemaleFollow-Up StudiesHumansMalePrognosisProspective StudiesRisk FactorsBioelectrical impedance analysisHeart failureOedema indexPhase anglePrognosisResidual congestion

Identifiers

PMID41711732
PMCPMC13108276

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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.