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| Funder | British Heart Foundation |
|---|---|
| Recipient Organization | University of Leeds |
| Country | United Kingdom |
| Start Date | Apr 01, 2021 |
| End Date | Mar 31, 2024 |
| Duration | 1,095 days |
| Number of Grantees | 1 |
| Roles | Award Holder |
| Data Source | Europe PMC |
| Grant ID | FS/CRTF/20/24071 |
Background: The cardinal symptom of heart failure with reduced ejection fraction (HFrEF), exercise intolerance, is thought to be exacerbated by limited heart-rate (HR) rise.
However, increasing HR-rise in HFrEF patients with cardiac electronic implantable devices (CEID) using standard age-related algorithms does not improve exercise capacity.
In contrast, personalised HR-programming, guided by individuals’ non-invasive force-frequency-relationship (FFR) data does, whilst also promoting better left ventricular function.
Research Question: How does personalised HR-rise improve exercise capacity and preserve left ventricular function in HFrEF?
Objectives: Does 6mths of FFR-guided CEID-programming in HFrEF improve autonomic function, benefit left ventricular remodelling, and reduce neurohormonal activity?
Methods: Participants with HFrEF and a CEID will be randomly allocated to have the rate-adaptive algorithm programmed to: ‘personalised’; ‘standard’; or ‘rate-adaptive-off’ for 6mths.
In the ‘personalised’ group, the CEID will maintain HR within the patient’s optimal range guided by their FFR data. ‘Standard’ care will be age-guided HR-rise programming. In the ‘rate-response-off’ arm, rate-adaptive-mode will be deactivated.
Programming, testing, analysis of mechanistic outcomes (autonomic function, remodelling and circulating humoral factors) will be double-blind at baseline and 6mths.
Outcomes: This proposal will provide mechanistic information to explain the benefits of FFR-guided HR-management and guide the routine application of this approach.
University of Leeds
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