An Imaging-Based Marker to Refine Risk Stratification for Transcatheter Mitral Valve Replacement.

Background: The Tendyne™ transcatheter heart valve (THV) system is a promising option for high-risk patients with severe mitral regurgitation (MR) who are ineligible for surgery or transcatheter edge-to-edge repair (TEER). As most fatal complications occur within the first 90 days, this study aimed to identify anatomical predictors of in-hospital mortality after transcatheter mitral valve replacement (TMVR). Methods: In this subanalysis of the TENDER registry, data from 110 patients who underwent TMVR across 26 centers between January 2020 and June 2022 were evaluated. Preprocedural imaging parameters were analyzed, including transthoracic echocardiography (TTE), transesophageal echocardiography (TEE), and cardiac 4D computed tomography (CT). Results: We identified LVEDDi as a significant predictor of in-hospital mortality (p = 0.022), with lower values in non-survivors (26.42 ± 3.76 mm/m2) than in survivors (30.37 ± 5.58 mm/m2). Both indexed and absolute LVEDDi predicted in-hospital complications (p < 0.001 and p = 0.008). In multivariate analysis, LVEDDi (p = 0.048; OR = 0.856) and STS score (p = 0.038; OR = 1.114) remained independent predictors of in-hospital mortality. In an extended model, only LVEDDi persisted as a significant predictor (p = 0.007), highlighting its robustness. Conclusions: This analysis identified a small LVEDDi as a novel, clinically relevant risk factor in TMVR and showed its added value alongside conventional markers. Its easy calculation supports incorporating LVEDDi thresholds into screening to improve patient selection and outcomes.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-06-20
DOI
https://doi.org/10.48620/89592
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Imaging-Based Marker to Refine Risk Stratification for Transcatheter Mitral Valve Replacement.

Open Access CRIS of the University of Bern
Research Data Management Practices
article

An Imaging-Based Marker to Refine Risk Stratification for Transcatheter Mitral Valve Replacement.

article en

Abstract

Background: The Tendyne™ transcatheter heart valve (THV) system is a promising option for high-risk patients with severe mitral regurgitation (MR) who are ineligible for surgery or transcatheter edge-to-edge repair (TEER). As most fatal complications occur within the first 90 days, this study aimed to identify anatomical predictors of in-hospital mortality after transcatheter mitral valve replacement (TMVR). Methods: In this subanalysis of the TENDER registry, data from 110 patients who underwent TMVR across 26 centers between January 2020 and June 2022 were evaluated. Preprocedural imaging parameters were analyzed, including transthoracic echocardiography (TTE), transesophageal echocardiography (TEE), and cardiac 4D computed tomography (CT). Results: We identified LVEDDi as a significant predictor of in-hospital mortality (p = 0.022), with lower values in non-survivors (26.42 ± 3.76 mm/m2) than in survivors (30.37 ± 5.58 mm/m2). Both indexed and absolute LVEDDi predicted in-hospital complications (p < 0.001 and p = 0.008). In multivariate analysis, LVEDDi (p = 0.048; OR = 0.856) and STS score (p = 0.038; OR = 1.114) remained independent predictors of in-hospital mortality. In an extended model, only LVEDDi persisted as a significant predictor (p = 0.007), highlighting its robustness. Conclusions: This analysis identified a small LVEDDi as a novel, clinically relevant risk factor in TMVR and showed its added value alongside conventional markers. Its easy calculation supports incorporating LVEDDi thresholds into screening to improve patient selection and outcomes.

Open Access CRIS of the University of Bern
United Heart and Vascular Clinic (US)
Good health and well-being
Openalex Percentile: Top 41%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.