ClinicalTrials.gov
public full text
Public Domain
Pre- and Post-TAVI Patient Assessment: Advancing Outcome Precision in Aortic Valve Therapy
The aim of this study is to evaluate the combined utility of the left atrial coupling index (LACI) and left ventricular speckle tracking echocardiography (LVSTE) in improving risk stratification and outcome prediction for patients undergoing Transcatheter Aortic Valve Implantation (TAVI). This study seeks to identify novel prognostic markers that enhance the prediction of mortality, heart failure, and functional recovery, ultimately enabling more personalized clinical decision-making and optimized patient outcomes by integrating the advanced echocardiographic parameters into pre-procedural assessments,.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Risk Stratification in Cardiovascular Medicine for Prognostic Assessment and Therapeutic Decision-Making: From Atrial Fibrillation to the Broader Disease Spectrum.#415375
- Predictives Factors of Cardiac Resynchronization Therapy: a Multimodal Analysis Using 2D Speckle Tracking Echocardiography Coupled With MIBG Myocardial Scintigraphy and Heart Failure Biomarkers#857406
- Comprehensive Clinical Prediction Rule for Acute Heart Failure#878611
- Sex-Specific Prognostic Value of Left Atrioventricular Coupling Index in Acute Coronary Syndrome: Insights From Artificial Intelligence-Enhanced 3-Dimensional Echocardiography.#297281
- China-calibration-ready echocardiographic feature modeling for LVEF-derived dysfunction classification: a surrogate-label proof-of-concept.#436976
Record · ID 873214
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive