Extracellular Matrix Proteins Improve Risk Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement

Circulating TIMP-1 is an independent predictor of reduced 2-year overall survival in patients undergoing TAVR. Combined with high-sensitivity cardiac troponin T, circulating TIMP-1 should be incorporated into risk stratification to identify patients undergoing TAVR who are at a higher risk of death.

Authors

Institutions

Publication Details

Journal
Journal of the American Heart Association
Published
2025-02-26
DOI
https://doi.org/10.1161/jaha.124.037296
Citations
5
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
6.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extracellular Matrix Proteins Improve Risk Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement

David M. Leistner, Stefanie Dimmeler, Badder Kattih, Lukas Zanders et al.
5 citations
Journal of the American Heart Association
Cardiac Valve Diseases and Treatments
6.94
article

Extracellular Matrix Proteins Improve Risk Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement

David M. Leistner, Stefanie Dimmeler, Badder Kattih, Lukas Zanders, Silvia Mas‐Peiró, Tina Rasper, Graziella Pergola, Felicitas Boeckling, Mariuca Vasa‐Nicotera, Sebastian Cremer
article en
5 citations

Abstract

Circulating TIMP-1 is an independent predictor of reduced 2-year overall survival in patients undergoing TAVR. Combined with high-sensitivity cardiac troponin T, circulating TIMP-1 should be incorporated into risk stratification to identify patients undergoing TAVR who are at a higher risk of death.

Journal of the American Heart AssociationVol. 14(5)
Goethe University Frankfurt (DE), Goethe-Institute United Kingdom (GB), Cardiovascular Center Frankfurt (DE), German Centre for Cardiovascular Research (DE), University Hospital Frankfurt (DE)
Good health and well-being
Openalex Percentile: Top 3%
Cardiac Valve Diseases and Treatments
6.94
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.