• Bing-Yang Liu, Wei-Chun Wu, Qi-Xian Zeng, Zhi-Hong Liu, Li-Li Niu, Yue Tian, Xiao-Ling Cheng, Qin Luo, Zhi-Hui Zhao, Li Huang, Hao Wang, Jian-Guo He, and Chang-Ming Xiong.
• 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, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, People's Republic of China.
• Int J Cardiovasc Imaging. 2019 Aug 1; 35 (8): 1499-1508.

AbstractResting two-dimensional speckle tracking echocardiography (2D-STE) identified right ventricular (RV) systolic function were reported to predict exercise capacity in pulmonary hypertension (PH) patients, but little attention had been payed to 2D-STE detected RV diastolic function. Therefore, we aim to elucidate and compare the relations between 2D-STE identified RV diastolic/systolic functions and peak oxygen consumption (PVO2) determined by cardiopulmonary exercise testing (CPET) in pre-capillary PH. 2D-STE was performed in 66 pre-capillary PH patients and 28 healthy controls. Linear correlation and multivariate regression analyses were performed to evaluate and compare the relations between RV 2D-STE parameters and PVO2. Receiver operating characteristic curves were used to compare the predictive value of 2D-STE parameters in predicting the cut-off-PVO2 < 11 ml/min/kg. There were significant differences of all the 2D-STE parameters between PH patients and healthy controls. In patients, RV-peak global longitudinal strain (GLS, rs = - 0.498, P < 0.001), RV- peak systolic strain rate (GSRs, rs = - 0.537, P < 0.001) and RV- peak early diastolic strain rate (GSRe, rs = 0.527, P < 0.001) significantly correlated with PVO2, but no significant correlation was observed between RV- peak late diastolic strain rate (GSRa, rs = 0.208, P = 0.093) and PVO2. The first multivariate regression analysis of clinical data without echocardiographic parameters identified WHO functional class, NT-proBNP and BMI as independent predictors of PVO2 (Model-1, adjusted r2 = 0.421, P < 0.001); Then we added conventional echocardiographic parameters and 2D-STE parameters to the clinical data, identified S,(Model-2,adjusted r2 = 0.502, P < 0.001), RV-GLS (Model-3, adjusted r2 = 0.491, P < 0.001), RV-GSRe (Model-4, adjusted r2 = 0.500, P < 0.001) and RV-GSRs (Model-5, adjusted r2 = 0.519, P < 0.001) as independent predictors of PVO2, respectively. The predictive power was increased, and Model-5 including RV-GSRs showed the highest predictive capability. ROC curves found RV-GSRs expressed the strongest predictive value (AUC = 0.88, P < 0.001), and RV-GSRs > - 0.65/s had a 88.2% sensibility and 82.2% specificity to predict PVO2 < 11 ml/min/kg. 2D-STE assessed RV function improves the prediction of exercise capacity represented by PVO2 in pre-capillary PH.

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