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Updated: Oct 16, 2025

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Upper-extremity Approach for Secondary Access in Transfemoral Transcatheter Aortic Valve Implantation
Published on: August 8, 2025
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Mobility aids predict mortality after transcatheter aortic valve implantation
Reshma Amin1, Sandeep Arunothayaraj1, David Kirtchuk1
1Sussex Cardiac Centre, Brighton and Sussex University Hospitals NHS Trust, Brighton, UK.
Summary
Objective mobility assessment using gait aids predicts survival in transcatheter aortic valve implantation (TAVI) patients. Increased need for mobility aids indicates a worse prognosis, aiding patient selection for TAVI.
Area of Science:
- Cardiology
- Geriatrics
- Medical Technology
Background:
- Patient selection for transcatheter aortic valve implantation (TAVI) is complex, with traditional scoring systems lacking predictive accuracy.
- Functional indices like mobility are crucial for assessing mortality risk, but are often subjectively measured.
Purpose of the Study:
- To objectively define the relationship between mobility, assessed by gait aid requirement, and mortality in TAVI patients.
- To evaluate mobility as a predictive index for both short-term (30-day) and long-term survival post-TAVI.
Main Methods:
- A cohort of 1444 TAVI patients was analyzed, categorizing mobility based on the Brighton Mobility Index (unaided, 1-stick, higher aid).
- Mortality data was tracked using the NHS Spine Portal.
- Statistical analysis correlated gait aid use with 30-day and long-term mortality rates.
Main Results:
- Overall 30-day mortality was 3.5% and 1-year mortality was 12.2%.
- Mobility aid use significantly predicted 30-day mortality (p=0.025), with higher aid use increasing mortality odds by 2.83.
- Mobility also significantly predicted long-term mortality (p<0.001), with odds ratios of 1.45 for 1-stick and 2.01 for higher aid.
Conclusions:
- Objective assessment of mobility via gait aid use is a significant predictor of survival in TAVI patients.
- Greater dependence on mobility aids correlates with a poorer prognosis, informing patient selection and risk stratification for TAVI.

