Observational studyESC heart failure2024
Bioimpedance analysis predicts worsening events in outpatients with heart failure and reduced ejection fraction.
Observational study in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed.
- Prognostic value of bioelectrical impedance analysis in heart failure: A systematic review of congestion assessment and clinical outcomes.American heart journal plus : cardiology research and practice · 2026Review
- Association between body composition phenotypes and cardiovascular outcomes in patients with coronary artery disease: a retrospective cohort study.European journal of clinical nutrition · 2026Article
- The spectrum of congestion in heart failure: underlying pathophysiology and diagnostic strategies.Heart failure reviews · 2026Review
- Management Strategies for Congestive Heart Failure in Chronic Kidney Disease: Narrative Review.Biomedicines · 2026Review
- Predicting heart failure decompensation: focus on non-invasive monitoring.Cardiology journal · 2026Review
- Physiology-guided volume optimization in patients with acute exacerbations of heart failure complicated by various comorbidities: two case reports.Frontiers in cardiovascular medicine · 2026Article
- Subclinical congestion assessed by whole-body bioelectrical impedance analysis in HFrEF outpatients.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025Article
- Bioimpedance analysis predicts worsening events in outpatients with heart failure and reduced ejection fraction.ESC heart failure · 2024Observational
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsHeart failure (HF) with reduced left ventricle ejection fraction (LVEF) is an entity with poor prognosis characterized by decompensations. Bioelectrical impedance analysis (BIA) is used to assess volume overload (VO) and may be useful to identify apparently stable HF outpatients at risk of decompensation. The aim of this study is to analyse whether VO assessed by BIA is associated with worsening heart failure (WHF) in stable outpatients with HF and reduced LVEF (HFrEF). METHODS AND
resultsThis is a prospective single-centre observational study. Consecutive stable HF outpatients with LVEF below 40% underwent BIA, transthoracic echocardiography, blood sampling, and physical examination and were followed up for 3 months. VO was defined as the difference between the measured weight and the dry weight assessed by BIA. Demographic, clinical, anthropometric, echocardiographic, and analytical parameters were recorded. The primary endpoint was WHF, defined by visits to the emergency department for HF or hospitalization for HF. A total of 100 patients were included. The median VO was 0.5 L (interquartile range 0-1.6 L). Eleven patients met the primary endpoint. Univariate binary logistic regression analysis showed that left ventricle filling pressures assessed by E/e', N-terminal pro B-type natriuretic peptide, inferior vena cava dilatation (≥21 mm), signs of congestion, and VO were associated with the primary endpoint. Binary logistic regression multivariate analysis showed that VO was the only independent predictor for the primary endpoint (adjusted OR 2.7; 95% CI 1.30-5.63, P = 0.008). Multivariate Cox regression analysis also showed an adjusted hazard ratio (HR) for VO of 2.03; 95% CI 1.37-3.02, P < 0.001. Receiver-operating characteristic curve analysis showed an area under the curve for VO of 0.88 (95% CI 0.79-0.97, P < 0.001) with an optimal cut-off of 1.2 L.
conclusionsVO assessed by BIA is independently associated with WHF in stable outpatients with HFrEF at 3 months.
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