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. 2022 Feb 28;15(4):381-394.
doi: 10.1016/j.jcin.2021.12.043.

Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence

Vera Fortmeier  1 , Mark Lachmann  2 , Maria I Körber  3 , Matthias Unterhuber  4 , Moritz von Scheidt  5 , Elena Rippen  2 , Gerhard Harmsen  6 , Muhammed Gerçek  1 , Kai Peter Friedrichs  1 , Fabian Roder  1 , Tanja K Rudolph  1 , Shinsuke Yuasa  7 , Michael Joner  5 , Karl-Ludwig Laugwitz  2 , Stephan Baldus  3 , Roman Pfister  3 , Philipp Lurz  7 , Volker Rudolph  8
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Free article

Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence

Vera Fortmeier et al. JACC Cardiovasc Interv. .
Free article

Abstract

Objectives: This study aimed to improve echocardiographic assessment of pulmonary hypertension (PH) in patients presenting with severe tricuspid regurgitation (TR).

Background: Echocardiographic assessment of PH in patients with severe TR carries several pitfalls for underestimation, hence concealing the true severity of PH in very sick patients in particular, and ultimately obscuring the impact of PH on survival after transcatheter tricuspid valve intervention (TTVI).

Methods: All patients in this study underwent TTVI for severe TR between 2016 and 2020. To predict the mean pulmonary artery pressure (mPAP) solely based on echocardiographic parameters, we trained an extreme gradient boosting (XGB) algorithm. The derivation cohort was constituted by 116 out of 162 patients with both echocardiography and right heart catheterization data, preprocedurally obtained, from a bicentric registry. Moreover, 142 patients from an independent institution served for external validation.

Results: Systolic pulmonary artery pressure was consistently underestimated by echocardiography in comparison to right heart catheterization (40.3 ± 15.9 mm Hg vs 44.1 ± 12.9 mm Hg; P = 0.0066), and the assessment was most discrepant among patients with severe defects of the tricuspid valve and impaired right ventricular systolic function. Using 9 echocardiographic parameters as input variables, an XGB algorithm could reliably predict mPAP levels (R = 0.96, P < 2.2 × 10-16). Moreover, patients with elevations in predicted mPAP levels ≥29.9 mm Hg showed significantly reduced 2-year survival after TTVI (58.3% [95% CI: 41.7%-81.6%] vs 78.8% [95% CI: 68.7%-90.5%]; P = 0.026). Importantly, the poor prognosis associated with elevation in predicted mPAP levels was externally confirmed (HR for 2-year mortality: 2.9 [95% CI: 1.5-5.7]; P = 0.002).

Conclusions: PH in patients with severe TR can be reliably assessed based on echocardiographic parameters in conjunction with an XGB algorithm, and elevations in predicted mPAP levels translate into increased mortality after TTVI.

Keywords: artificial intelligence; pulmonary hypertension; transcatheter tricuspid valve intervention; tricuspid regurgitation.

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Conflict of interest statement

Funding Support and Author Disclosures Dr Lachmann has received funding from the Technical University of Munich (clinician scientist grant) and from the Else Kröner-Fresenius Foundation (clinician scientist grant). All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

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