Related Experiment Video
Updated: Aug 28, 2026

Assessment of Right Ventricular Structure and Function in Mouse Model of Pulmonary Artery Constriction by Transthoracic Echocardiography
Published on: February 3, 2014
Mid-Term Outcomes and Echocardiographic Predictors of TTVR: Insights from the TRAVEL Study
Xing Zhao1, Hao Shi2, Ying Peng3
1Department of Echocardiography, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100037, China.
Background:
The mid-term prognosis after transcatheter tricuspid valve replacement (TTVR) is poorly defined, and echocardiographic predictors remain uncertain.
Objectives:
To describe mid-term all-cause mortality, 30-day major adverse events (MAEs), and echocardiographic risk markers of TTVR.
Methods:
Consecutive patients undergoing TRAVEL (Transcatheter right atrial-ventricular valve replacement With LuX-Valve) at three centers were retrospectively analyzed. Firth Cox regression was applied for mortality, and Firth logistic regression was used for exploratory MAE analyses.
Results:
A total of 62 patients (median age 66.5 years [61.0-72.8], 83.8% female) were included. Over a mean follow-up of 46.2 months, seven deaths (11.2%) occurred, corresponding to mid-term survival of 88.8%. Within 30 days, 14 patients (22.6%) experienced MAEs, including three deaths (4.8%), major bleeding in eight (12.9%), surgical re-exploration in seven (11.3%), repeat open-heart tricuspid valve replacement in one (1.6%), and permanent pacemaker implantation in six (9.7%). TR was reduced to mild or less in 95.2% at 1 year.
Conclusions:
In this LuX-Valve TTVR cohort, 30-day MAEs mainly reflected perioperative or device-related complications rather than a direct signal of baseline RV dysfunction or remodeling. LuX-Valve implantation showed favorable mid-term survival and clinically meaningful procedural effectiveness; RV-centered echocardiographic markers should be considered hypothesis-generating and require validation in larger cohorts.
