ArticlePloS one2025
Phase angle in bioelectrical impedance analysis for assessing congestion in acute heart failure.
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.
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Who cites it
7 citing papers in PubMed.
- Association between body composition phenotypes and cardiovascular outcomes in patients with coronary artery disease: a retrospective cohort study.European journal of clinical nutrition · 2026Article
- Nutritional Status and Cardiovascular Disease in Older Adults: Clinical Perspectives from Mechanisms to Management.Journal of clinical medicine · 2026Review
- Associations of Bioelectrical Impedance-Derived Phase Angle and Hydration Parameters with Clinical Severity in Ambulatory Chronic Heart Failure.Journal of clinical medicine · 2026Article
- Prognostic value of skeletal muscle viscoelasticity in older patients with heart failure: the VISMARC-HF study design.BMC geriatrics · 2026Observational
- Residual congestion at discharge assessed by bioelectrical impedance and its prognostic value in acute heart failure: a multi-centre, prospective registry study.ESC heart failure · 2026Article
- Safety of bioelectrical impedance analysis in patients with cardiac implantable electronic devices: A systematic review.Heart rhythm O2 · 2025Article
- The Role of Phase Angle in Non-Invasive Fluid Assessment in Dogs with Patent Ductus Arteriosus: A Novel Method in Veterinary Cardiology.Veterinary sciences · 2025Article
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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