Prediction of Heart Failure Hospitalization or Death After TAVR

This prediction model effectively stratifies post-transcatheter aortic valve replacement patients by risk of death or HF readmission, supporting its use to guide clinical surveillance and clinical trial enrollment for adjunctive medical therapies aimed at mitigating this risk.

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Publication Details

Journal
Circulation Cardiovascular Interventions
Published
2025-12-31
DOI
https://doi.org/10.1161/circinterventions.125.015398
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Prediction of Heart Failure Hospitalization or Death After TAVR

Wayne Batchelor, J. Lindenfeld, Angela Lowenstern, Thomas A. Treibel et al.
Circulation Cardiovascular Interventions
Cardiac Valve Diseases and Treatments
article

Prediction of Heart Failure Hospitalization or Death After TAVR

Wayne Batchelor, J. Lindenfeld, Angela Lowenstern, Thomas A. Treibel, Andrzej S. Kosinski, Bassim El‐Sabawi, Pratik Manandhar, Brian R. Lindman, M. Dweck, Sreekanth Vemulapalli, Philippe Généreux, Michael Mack, Javed Butler, Martin B. Leon, Vinod H. Thourani, Nimesh Desai, David J. Cohen
article en

Abstract

This prediction model effectively stratifies post-transcatheter aortic valve replacement patients by risk of death or HF readmission, supporting its use to guide clinical surveillance and clinical trial enrollment for adjunctive medical therapies aimed at mitigating this risk.

Circulation Cardiovascular InterventionsVol. 19(2)
Valve (United States) (US), Duke University (US), Columbia University Irving Medical Center (US), Hospital of the University of Pennsylvania (US), Trinity College London (GB), Flower Hospital (US), Morristown Medical Center (US), University of Mississippi (US), Clinical Research Institute (US), Cardiovascular Research Foundation (US), Alaska Heart and Vascular Institute (US), Baylor Scott & White Health (US), University College London (GB), Columbia University (US), Vanderbilt University Medical Center (US), University of Edinburgh (GB)
Gender equality
Openalex Percentile: Top 30%
Cardiac Valve Diseases and Treatments
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