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Bioelectrical impedance analysis in the management of heart failure in adult patients with congenital heart disease
1 Department of Pediatric Cardiology, Tokyo
Women’s Medical University, Tokyo, Japan
2 Division of Adult Congenital Heart Disease
Pathophysiology and Lifelong Care, Tokyo
Women’s Medical University, Tokyo, Japan
* Corresponding Author: Kei Inai, MD, PhD, FJCC, Department of Pediatric Cardiology, Division of Adult Congenital Heart Disease Pathophysiology and Lifelong Care, Tokyo Women’s Medical University, 8-1 Kawadacho, Shinjukuku, Tokyo 162 8666, Japan. Email:
Congenital Heart Disease 2019, 14(2), 167-175. https://doi.org/10.1111/chd.12683
Abstract
Objective: 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-IV had 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, KaplanMeier 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.
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