Phase angle in bioelectrical impedance analysis for assessing congestion in acute heart failure

被引:0
|
作者
Sohn, Sangho [1 ]
Jeon, Jinsung [1 ]
Lee, Ji Eun [2 ]
Park, Soo Hyung [2 ]
Kang, Dong Oh [2 ]
Park, Eun Jin [2 ]
Lee, Dae-In [2 ]
Choi, Jah Yeon [2 ]
Roh, Seung Young [2 ]
Na, Jin Oh [2 ]
Choi, Cheol Ung [2 ]
Kim, Jin Won [2 ]
Rha, Seung Woon [2 ]
Park, Chang Gyu [2 ]
Sunki, Sunki [2 ]
Kim, Eung Ju [2 ]
机构
[1] Korea Univ, Dept Internal Med, Guro Hosp, Seoul, South Korea
[2] Korea Univ, Cardiovasc Ctr, Div Cardiol, Guro Hosp, Seoul, South Korea
来源
PLOS ONE | 2025年 / 20卷 / 01期
关键词
BRAIN NATRIURETIC PEPTIDE; SKELETAL-MUSCLE MASS; BIOIMPEDANCE ANALYSIS; BODY-COMPOSITION; VECTOR ANALYSIS; ACCURACY; QUANTIFICATION; DIAGNOSIS;
D O I
10.1371/journal.pone.0317333
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background The 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. Methods PhA 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. Results The PhA levels were significantly lower in the HF group. Whole-body PhA was 4.49 & ring; in the HF group and 5.68 & ring; 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 & ring; (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). Conclusions PhA 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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页数:12
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