TY - JOUR
T1 - Artificial intelligence–enabled assessment of right ventricular to pulmonary artery coupling in patients undergoing transcatheter tricuspid valve intervention
AU - Fortmeier, Vera
AU - Lachmann, Mark
AU - Stolz, Lukas
AU - von Stein, Jennifer
AU - Unterhuber, Matthias
AU - Kassar, Mohammad
AU - Gerçek, Muhammed
AU - Schöber, Anne R.
AU - Stocker, Thomas J.
AU - Omran, Hazem
AU - Körber, Maria I.
AU - Hesse, Amelie
AU - Harmsen, Gerhard
AU - Friedrichs, Kai Peter
AU - Yuasa, Shinsuke
AU - Rudolph, Tanja K.
AU - Joner, Michael
AU - Pfister, Roman
AU - Baldus, Stephan
AU - Laugwitz, Karl Ludwig
AU - Windecker, Stephan
AU - Praz, Fabien
AU - Lurz, Philipp
AU - Hausleiter, Jörg
AU - Rudolph, Volker
N1 - Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Aims Right ventricular to pulmonary artery (RV-PA) coupling has been established as a prognostic marker in patients with severe tricuspid regurgitation (TR) undergoing transcatheter tricuspid valve interventions (TTVI). RV-PA coupling assesses right ventricular systolic function related to pulmonary artery pressure levels, which are ideally measured by right heart catheterization. This study aimed to improve the RV-PA coupling concept by relating tricuspid annular plane systolic excursion (TAPSE) to mean pulmonary artery pressure (mPAP) levels. Moreover, instead of right heart catheterization, this study sought to employ an extreme gradient boosting (XGB) algorithm to predict mPAP levels based on standard echocardiographic parameters. Methods This multicentre study included 737 patients undergoing TTVI for severe TR; among them, 55 patients from one institution and results served for external validation. Complete echocardiography and right heart catheterization data were available from all patients. The XGB algorithm trained on 10 echocardiographic parameters could reliably predict mPAP levels as evaluated on right heart catheterization data from external validation (Pearson correlation coefficient R: 0.68; P value: 1.3 × 10−8). Moreover, predicted mPAP (mPAPpredicted) levels were superior to echocardiographic systolic pulmonary artery pressure (sPAPechocardiography) levels in predicting 2-year mortality after TTVI [area under the curve (AUC): 0.607 vs. 0.520; P value: 1.9 × 10−6]. Furthermore, TAPSE/mPAPpredicted was superior to TAPSE/sPAPechocardiography in predicting 2-year mortality after TTVI (AUC: 0.633 vs. 0.586; P value: 0.008). Finally, patients with preserved RV-PA coupling (defined as TAPSE/ mPAPpredicted > 0.617 mm/mmHg) showed significantly higher 2-year survival rates after TTVI than patients with reduced RV-PA coupling (81.5% vs. 58.8%, P < 0.001). Moreover, independent association between TAPSE/mPAPpredicted levels and 2-year mortality after TTVI was confirmed by multivariate regression analysis (P value: 6.3 × 10−4). Conclusion Artificial intelligence–enabled RV-PA coupling assessment can refine risk stratification prior to TTVI without necessitating invasive right heart catheterization. A comparison with conservatively treated patients is mandatory to quantify the benefit of TTVI in accordance with RV-PA coupling.
AB - Aims Right ventricular to pulmonary artery (RV-PA) coupling has been established as a prognostic marker in patients with severe tricuspid regurgitation (TR) undergoing transcatheter tricuspid valve interventions (TTVI). RV-PA coupling assesses right ventricular systolic function related to pulmonary artery pressure levels, which are ideally measured by right heart catheterization. This study aimed to improve the RV-PA coupling concept by relating tricuspid annular plane systolic excursion (TAPSE) to mean pulmonary artery pressure (mPAP) levels. Moreover, instead of right heart catheterization, this study sought to employ an extreme gradient boosting (XGB) algorithm to predict mPAP levels based on standard echocardiographic parameters. Methods This multicentre study included 737 patients undergoing TTVI for severe TR; among them, 55 patients from one institution and results served for external validation. Complete echocardiography and right heart catheterization data were available from all patients. The XGB algorithm trained on 10 echocardiographic parameters could reliably predict mPAP levels as evaluated on right heart catheterization data from external validation (Pearson correlation coefficient R: 0.68; P value: 1.3 × 10−8). Moreover, predicted mPAP (mPAPpredicted) levels were superior to echocardiographic systolic pulmonary artery pressure (sPAPechocardiography) levels in predicting 2-year mortality after TTVI [area under the curve (AUC): 0.607 vs. 0.520; P value: 1.9 × 10−6]. Furthermore, TAPSE/mPAPpredicted was superior to TAPSE/sPAPechocardiography in predicting 2-year mortality after TTVI (AUC: 0.633 vs. 0.586; P value: 0.008). Finally, patients with preserved RV-PA coupling (defined as TAPSE/ mPAPpredicted > 0.617 mm/mmHg) showed significantly higher 2-year survival rates after TTVI than patients with reduced RV-PA coupling (81.5% vs. 58.8%, P < 0.001). Moreover, independent association between TAPSE/mPAPpredicted levels and 2-year mortality after TTVI was confirmed by multivariate regression analysis (P value: 6.3 × 10−4). Conclusion Artificial intelligence–enabled RV-PA coupling assessment can refine risk stratification prior to TTVI without necessitating invasive right heart catheterization. A comparison with conservatively treated patients is mandatory to quantify the benefit of TTVI in accordance with RV-PA coupling.
KW - artificial intelligence
KW - right ventricular to pulmonary artery coupling
KW - transcatheter tricuspid valve intervention
KW - tricuspid regurgitation
UR - http://www.scopus.com/inward/record.url?scp=85189180685&partnerID=8YFLogxK
U2 - 10.1093/ehjci/jead324
DO - 10.1093/ehjci/jead324
M3 - Article
AN - SCOPUS:85189180685
SN - 2047-2404
VL - 25
SP - 558
EP - 572
JO - European Heart Journal Cardiovascular Imaging
JF - European Heart Journal Cardiovascular Imaging
IS - 4
ER -