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二维斑点追踪超声心动图检测到的心室间不同步可预测毛细血管前性肺动脉高压患者的运动能力和疾病严重程度。

Two-dimensional speckle tracking echocardiography detected interventricular dyssynchrony predicts exercise capacity and disease severity in pre-capillary pulmonary hypertension.

作者信息

Liu Bing-Yang, Wu Wei-Chun, Zeng Qi-Xian, Liu Zhi-Hong, Niu Li-Li, Tian Yue, Cheng Xiao-Ling, Luo Qin, Zhao Zhi-Hui, Huang Li, Wang Hao, He Jian-Guo, Xiong Chang-Ming

机构信息

Department of Cardiology, Pulmonary Vascular Disease Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.

Department of Echocardiography, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.

出版信息

Ann Transl Med. 2020 Apr;8(7):456. doi: 10.21037/atm.2020.03.146.

Abstract

BACKGROUND

Right ventricular (RV) intraventricular mechanical dyssynchrony detected by two-dimensional speckle tracking echocardiography (2D-STE) has been reported to be correlated with a decrease in RV contractile efficiency in pulmonary hypertension (PH) patients, while little attention has been paid to biventricular dysfunction. Therefore, we aimed to evaluate the predictive value of 2D-STE detected interventricular dyssynchrony for exercise capacity and disease severity in patients with pre-capillary PH (PcPH).

METHODS

Conventional transthoracic echocardiography, 2D-STE and cardiopulmonary exercise tests (CPETs) were performed in all participants. Intra- and interventricular dyssynchrony were calculated as the standard deviation (SD) of the time intervals corrected for heart rate between QRS onset and peak longitudinal strain. Multivariate linear regression analyses were performed to identify independent predictors of peak oxygen consumption (PVO) during the CPET. Multivariable logistical regression modeling was used to analyze the associations between interventricular dyssynchrony and risk assessment.

RESULTS

Sixty-six PcPH patients were consecutively recruited (19 male and 47 female, average 35 years old). WHO functional class, N-terminal pro-brain natriuretic peptide (BNP) and body mass index were included as independent predictors in the first multivariate regression analysis of clinical data without echocardiographic parameters (Model-1, r=0.423, P<0.001). We subsequently added conventional echocardiographic parameters and 2D-STE parameters to the clinical data, RV fractional area change (Model-2, r=0.417, P<0.001), RV global longitudinal strain (Model-3, r=0.454, P=0.001), RV intraventricular dyssynchrony (Model-4: r=0.474, P<0.001) and interventricular dyssynchrony (Model-5, r=0.483, P<0.001) were identified as independent predictors of PVO. Interventricular dyssynchrony, calculated as the SD of the time intervals of nine segments, was independently associated with risk assessment (odd ratio 1.027, 95% CI: 1.003-1.052, P=0.03). The area under the receiver-operating characteristic curve (AUC) was 0.73 (P<0.001).

CONCLUSIONS

Interventricular dyssynchrony detected by 2D-STE contributed to a better evaluation of exercise capacity and disease severity in PcPH patients.

摘要

背景

二维斑点追踪超声心动图(2D-STE)检测到的右心室(RV)心室内机械不同步与肺动脉高压(PH)患者右心室收缩效率降低相关,而双心室功能障碍很少受到关注。因此,我们旨在评估2D-STE检测到的心室间不同步对毛细血管前性肺动脉高压(PcPH)患者运动能力和疾病严重程度的预测价值。

方法

对所有参与者进行常规经胸超声心动图、2D-STE和心肺运动试验(CPET)。心室内和心室间不同步通过校正心率后的QRS起始至纵向应变峰值时间间隔的标准差(SD)计算。进行多变量线性回归分析以确定CPET期间峰值耗氧量(PVO)的独立预测因素。使用多变量逻辑回归模型分析心室间不同步与风险评估之间的关联。

结果

连续招募了66例PcPH患者(19例男性和47例女性,平均35岁)。在不包括超声心动图参数的临床数据的首次多变量回归分析(模型-1,r = 0.423,P < 0.001)中,世界卫生组织功能分级、N末端脑钠肽前体(BNP)和体重指数被纳入作为独立预测因素。随后,我们将常规超声心动图参数和2D-STE参数添加到临床数据中,右心室面积变化分数(模型-2,r = 0.417,P < 0.001)、右心室整体纵向应变(模型-3,r = 0.4

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/122f/7210168/2fdde92e60ca/atm-08-07-456-f1.jpg

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