134 Lancashire objective volume evaluation of leg oedema in heart failure randomized controlled cross-over trials (love-HF artificial intelligence research programme): rationale and methodology

Introduction In England and Wales, heart failure (HF) was the primary diagnosis for >81,000 hospital admissions in 2016-17, with a 30-day readmission rate of nearly 20%. The National HF Audit reports that half of these admissions were associated with moderate or severe peripheral oedema. Conventionally, leg oedema is assessed and graded by a healthcare professional (HCP). A serial measurement of weight is an alternative method of assessing water retention at home but this relies on patient compliance.The Heartfelt device uses high-resolution cameras to generate 3D images of the lower legs and calculates volumes with a precision of about 20mLs without the need for active patient input. Linking Artificial Intelligence algorithms may then be applied to inform either the patient or a healthcare professional of appropriate actions. Methods The Lancashire Objective Volume Evaluation of leg oedema in Heart Failure (LOVE-HF) artificial intelligence research programme consists of two pilot randomised controlled, cross-over trials (each with 30 patients and 30 day assessment periods), a registry and screening log (the latter to permit comparison of baseline characteristics to ensure generalisability). Patients with HF who received IV diuretics (within These vanguard trials will determine the feasibility of data-collection and confirm estimates of event rates that will inform the design of a substantial multi-centre trial (GLOVE-HF- GLobal Objective Volume Evaluation of oedema in Heart Failure) to determine the clinical utility of the Heartfelt device. Conflict of Interest Heart Failure