| INTRODUC TI ONFluid retention with dyspnea is the most often encountered cause of rehospitalization after acute heart failure (HF). Decompensated HF generally leads to fluid overload caused by elevated ventricular filling pressure or neurohormonal activation. Thus, the ability to recognize and quantify fluid retention is critical for the treatment of HF; however, optimal markers for the presence of fluid retention have yet to be identified. Brain natriuretic peptide (BNP) testing, chest radiography, cardiac ultrasonography, and blood sampling are insufficient for assessing fluid retention.Bioelectrical impedance analysis (BIA) was recently introduced in many clinical fields, such as cardiology, nephrology, hepatology, nutrition, and rehabilitation. 1-9 BIA is a safe, rapid, and noninvasive assessment method that involves the application of alternating currents to the body to achieve 8-polar tactile-electrode impedance. These impedances are obtained using differences in cell membrane permeability based on variable frequencies.
AbstractObjective: The recognition of fluid retention is critical in treating heart failure (HF).Bioelectrical impedance analysis (BIA) is a well-known noninvasive method; however, data on its role in managing patients with congenital heart disease (CHD) are limited.Here, we aimed to clarify the correlation between BIA and HF severity as well as the prognostic value of BIA in adult patients with CHD.Design: This prospective single-center study included 170 patients with CHD admitted between 2013 and 2015. We evaluated BIA parameters (intra-and extracellular water, protein, and mineral levels, edema index [EI, extracellular water-to-total body water ratio]), laboratory values, and HF-related admission prevalence.
Results: Patients with New York Heart Association (NYHA) functional classes III-IVhad a higher EI than those with NYHA classes I-II (mean ± SD, 0.398 ± 0.011 vs 0.384 ± 0.017, P < .001). EI was significantly correlated with brain natriuretic peptide level (r = 0.51, P < .001). During the mean follow-up period of 7.1 months, Kaplan-Meier analysis showed that a discharge EI > 0.386, the median value in the present study, was significantly associated with a future increased risk of HF-related admission (HR = 4.15, 95% CI = 1.70-11.58, P < .001). A body weight reduction during hospitalization was also related to EI reduction.Conclusions: EI determined using BIA could be a useful marker for HF severity that could predict future HF-related admissions in adult patients with CHD.