Perinatal changes of right ventricle-pulmonary artery coupling and its value in predicting persistent pulmonary hypertension of the newborn.

Clin Physiol Funct Imaging

Department of Ultrasound, School of Medicine, Yangpu Hospital, Tongji University, Shanghai, P.R. China.

Published: November 2022

Background: Right ventricle-pulmonary artery (RV-PA) coupling is an independent predictor of outcome in pulmonary arterial hypertension in adults. Here, we aimed to investigate the changes in RV-PA coupling during the perinatal period, and to evaluate its performance on predicting persistent pulmonary hypertension of the newborn (PPHN).

Methods: A total of 1196 fetuses underwent a dedicated echocardiography screening for foetal heart defects during second trimester (24-27 weeks' gestation), third trimester (34-37 weeks' gestation) and neonatal period (within 14 days after delivery) with the measurement of tricuspid annular plane systolic excursion (TAPSE) and mean pulmonary artery pressure (MPAP). The RV-PA coupling (TAPSE/MPAP ratio) was calculated.

Results: Six fetuses were diagnosed as persistent pulmonary hypertension of the newborn (PPHN). In normal fetuses, RV-PA coupling had been increasing from the second trimester to the third trimester and then to the neonatal period (0.12 ± 0.02 vs. 0.18 ± 0.05 vs. 0.23 ± 0.08 mm/mmHg, p < 0.05), while it had been decreasing during the same period of time in abnormal fetuses (0.18 ± 0.02 vs. 0.17 ± 0.02 vs. 0.17 ± 0.01 mm/mmHg, p < 0.05). There was a strong positive correlation between RV-PA coupling and gestational age (GA) in normal fetuses (r = 0.71, p < 0.0001). The area under receiver operating characteristic curve (AUC) of 0.989 for RV-PA coupling during second trimester was superior to that for RV-PA coupling during third trimester (AUC: 0.536) in predicting PPHN. The optimal cutoff value was 0.16 mm/mmHg, with a sensitivity of 100.00%, a specificity of 96.36% and an accuracy of 97.73%.

Conclusion: RV-PA coupling had close relation with GA in normal fetuses. It was a strong predictor of PPHN.

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http://dx.doi.org/10.1111/cpf.12782DOI Listing

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