Sohn Sangho, Jeon Jinsung, Lee Ji Eun, Park Soo Hyung, Kang Dong Oh, Park Eun Jin, Lee Dae-In, Choi Jah Yeon, Roh Seung Young, Na Jin Oh, Choi Cheol Ung, Kim Jin Won, Rha Seung Woon, Park Chang Gyu, Lee Sunki, Kim Eung Ju
Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Cardiovascular Center, Division of Cardiology, Korea University Guro Hospital, Seoul, Republic of Korea.
PLoS One. 2025 Jan 24;20(1):e0317333. doi: 10.1371/journal.pone.0317333. eCollection 2025.
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.
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.
The 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).
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.
生物电阻抗分析(BIA)中的相位角(PhA)反映细胞膜完整性或体液平衡。我们研究了PhA与急性心力衰竭(HF)的已知标志物之间的关系,并评估了其作为筛查工具的价值。
对50例HF患者和20例非HF对照者测量PhA,同时测量水肿指数(EI),EI是另一个提示水肿的BIA参数。采用胸部计算机断层扫描测量肺液含量(LFC)来评估肺淤血情况。进行相关性分析以评估PhA与EI、N末端脑钠肽前体(NT-proBNP)和LFC之间的关系。采用受试者操作特征(ROC)曲线分析确定用于区分HF患者的PhA和EI的临界值。使用DeLong检验比较曲线下面积(AUC),以评估PhA和EI与LFC在正确分类HF方面的性能。
HF组的PhA水平显著较低。HF组的全身PhA为4.49°,对照组为5.68°。在50 kHz测量的PhA与NT-proBNP(-0.56至-0.27,所有p值<0.05)和LFC(-0.52至-0.41,所有p值<0.05)之间均观察到中度且显著的相关性。全身PhA的AUC为0.827(置信区间[CI] 0.724 - 0.931,p<0.01),EI的AUC为0.883(CI 0.806 - 0.961,p<0.01),最佳临界值分别估计为5°(敏感性0.84,特异性0.80)和0.394(敏感性0.78,特异性0.95)。当模型中同时纳入PhA和EI时,AUC增加到0.905,这与LFC的AUC(AUC = 0.913,p = 0.857)相当。
PhA与HF的已知标志物相关,并显示出其作为早期检测HF加重的非侵入性筛查工具的潜力。联合使用PhA和EI可为HF患者的常规自我监测提供有力替代方法,从而加强早期干预。