Pulse Wave Analysis Predicts Invasive Hemodynamics in Pre-Capillary Pulmonary Hypertension.

IF 1.8 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Yen-Yu Liu, Shu-Hao Wu, Cheng-Ting Tsai, Fang-Ju Sun, Charles Jia-Yin Hou, Hung-I Yeh, Yih-Jer Wu
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Abstract

Background: We tested the hypothesis that non-invasive pulse wave analysis (PWA)-derived systemic circulation variables can predict invasive hemodynamics of pulmonary circulation and the indicator of right heart function, N-terminal pro-brain natriuretic peptide (NT-proBNP), in patients with precapillary pulmonary hypertension (PH).

Methods: This prospective study enrolled patients with group 1 and 4 PH who had complete PWA, NT-proBNP, and hemodynamics data. Risk assessment-based "hemodynamic score (HS)" and principal component analysis-based PWA variable grouping were determined/performed. Models of hierarchical multiple linear regression (HMLR) and receiver operating characteristic (ROC) curves were used to determine the relationships of PWA variables with HS and NT-proBNP and to predict the latter parameters.

Results: Fifty-three PWAs were included. PWA variables were classified into 4 eigenvalue principal components (representing 90% configuration). Univariate analysis showed that left ventricular ejection time (LVET) was significantly negatively associated with HS and NT-proBNP levels. HMLR analysis showed that LVET was still significantly, negatively, and independently associated with HS (B = -0.006 [-0.010~-0.001]) and NT-proBNP (B = -13.47 [-21.20~-5.73]). ROC curve analysis showed that LVET > 306.9 msec and > 313.2 msec predicted the low-risk group of HS (AUC: 0.802; p = 0.001; sensitivity: 100%; and specificity: 59%) and low-to-intermediate risk levels of NT-proBNP (AUC: 0.831; p < 0.001; sensitivity: 100%; and specificity: 59%).

Conclusions: The non-invasive PWA parameter, LVET, is an independent predictor of invasive right heart HS and NT-proBNP levels; it may serve as a novel biomarker of right ventricular function in patients with pre-capillary PH.

脉搏波分析预测毛细血管前肺动脉高压的侵袭性血流动力学。
背景:我们验证了无创脉搏波分析(PWA)衍生的体循环变量可以预测毛细血管前肺动脉高压(PH)患者有创性肺循环血流动力学和右心功能指标n端前脑利钠肽(NT-proBNP)的假设。方法:这项前瞻性研究纳入了具有完整PWA、NT-proBNP和血流动力学数据的1组和4组PH患者。确定/执行基于风险评估的“血流动力学评分(HS)”和基于主成分分析的PWA变量分组。采用层次多元线性回归(HMLR)模型和受试者工作特征(ROC)曲线确定PWA变量与HS和NT-proBNP的关系,并预测后者参数。结果:共纳入53例PWAs。将PWA变量划分为4个特征值主成分(占配置的90%)。单因素分析显示,左室射血时间(LVET)与HS和NT-proBNP水平呈显著负相关。HMLR分析显示,LVET与HS (B = -0.006[-0.010~-0.001])和NT-proBNP (B = -13.47[-21.20~-5.73])仍然呈显著负相关且独立相关。ROC曲线分析显示,LVET > 306.9 msec、> 313.2 msec预测HS低危组(AUC: 0.802;P = 0.001;灵敏度:100%;特异性:59%)和中低风险水平NT-proBNP (AUC: 0.831;P < 0.001;灵敏度:100%;特异性:59%)。结论:无创PWA参数LVET是有创右心HS和NT-proBNP水平的独立预测因子;它可以作为一种新的生物标志物,用于评价毛细血管前PH值患者的右心室功能。
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来源期刊
Acta Cardiologica Sinica
Acta Cardiologica Sinica 医学-心血管系统
CiteScore
2.90
自引率
15.80%
发文量
144
审稿时长
>12 weeks
期刊介绍: Acta Cardiologica Sinica welcomes all the papers in the fields related to cardiovascular medicine including basic research, vascular biology, clinical pharmacology, clinical trial, critical care medicine, coronary artery disease, interventional cardiology, arrythmia and electrophysiology, atherosclerosis, hypertension, cardiomyopathy and heart failure, valvular and structure cardiac disease, pediatric cardiology, cardiovascular surgery, and so on. We received papers from more than 20 countries and areas of the world. Currently, 40% of the papers were submitted to Acta Cardiologica Sinica from Taiwan, 20% from China, and 20% from the other countries and areas in the world. The acceptance rate for publication was around 50% in general.
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