SHIMIZU MIKIKO
   Department   School of Medicine(Tokyo Women's Medical University Hospital), School of Medicine
   Position   Assistant Professor
Article types Original article
Language English
Peer review Peer reviewed
Title Bioelectrical impedance analysis in the management of heart failure in adult patients with congenital heart disease.
Journal Formal name：Congenital Heart Disease
Abbreviation：Congenit Heart Dis
ISSN code：1747079X/17470803
Domestic / ForeginForegin
Publisher Wiley Periodicals, Inc.
Volume, Issue, Page 14(2),pp.167-175
Author and coauthor SATO Masaki†, INAI Kei*, SHIMIZU Mikiko, SUGIYAMA Hisashi, NAKANISHI Toshio
Publication date 2019/03
Summary 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, 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.
DOI 10.1111/chd.12683
PMID 30351489