Nephrology Department, Sisli Hamidiye Etfal Training and Research Hospital.
Nephrology Department, Basaksehir Cam and Sakura City Hospital.
Medicine (Baltimore). 2021 Jan 22;100(3):e23856. doi: 10.1097/MD.0000000000023856.
Although many alternative methods are present, maintaining ideal volume status in peritoneal dialysis (PD) patients still rely on clinical evaluation due to lack of an evidence-based method. Lung ultrasound (LUS) is a new method for evaluation of hidden congestion in this group.LUS findings and its relationship with other volumetric methods are investigated in this observational cross-sectional study.In this observational cross sectional study, LUS was performed to all PD patients and compared with symptoms of hypervolemia, physical examination, vascular endothelial growth factor-C (VEGF-C), and N-terminal pro-brain natriuretic peptide levels, chest radiography, echocardiography, bioelectrical impedance analysis.Data of 21 PD patients were evaluated. There was correlation between number of B lines and VEGF-C levels (r = 0.447, P = .042), daily urine output (r = 0.582, P = .007) and left ventricle mass index (r = -0.456, P = .038). Correlations with all other parameters were not significant. Daily urine output and VEGF-C levels were significantly different when B lines were grouped into 2 according to the median level (P < .05 for all).This is the widest spectrum study looking for LUS findings and other volumetric parameters in a small PD cohort. LUS might be useful to evaluate hidden hypervolemia. Its correlation with VEGF-C level is a novel finding.
尽管存在许多替代方法,但由于缺乏基于证据的方法,腹膜透析(PD)患者仍依赖临床评估来维持理想的容量状态。肺部超声(LUS)是评估该人群隐性充血的新方法。本观察性横断面研究调查了 LUS 结果及其与其他容积方法的关系。在这项观察性横断面研究中,对所有 PD 患者进行了 LUS 检查,并将其与充血症状、体格检查、血管内皮生长因子-C(VEGF-C)和 N 端脑利钠肽前体水平、胸部 X 线、超声心动图、生物电阻抗分析进行了比较。评估了 21 名 PD 患者的数据。B 线数量与 VEGF-C 水平(r=0.447,P=0.042)、每日尿量(r=0.582,P=0.007)和左心室质量指数(r=-0.456,P=0.038)之间存在相关性。与所有其他参数的相关性不显著。根据中位数水平将 B 线分为 2 组时,每日尿量和 VEGF-C 水平有显著差异(所有 P<0.05)。这是一项范围最广的研究,旨在观察小 PD 队列中 LUS 结果和其他容积参数。LUS 可能有助于评估隐性充血。其与 VEGF-C 水平的相关性是一个新发现。