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. (4th June 2021)
- Record Type:
- Journal Article
- Title:
- 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. (4th June 2021)
- Main Title:
- 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
- Authors:
- Awad, Reham
Jones, Robert
Assaf, Omar
Abdullah, Abdullah
Seed, Alison
Cassidy, CJ
Howard, Lesley
Wong, Suzanne
Taylor, Rebecca
Cleland, John
Lane, Deirdre
Davis, G
Pellicori, Pierpaolo
Berry, Rhiannon
Wong, Kenneth - Abstract:
- Abstract : 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 <6 months) or with peripheral oedema despite receiving at least 80 mg/day of oral furosemide (or equivalent), will be enrolled in LOVE-HF (comparing the Heartfelt device on top of standard care to standard care: figure 1 )Abstract : 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 <6 months) or with peripheral oedema despite receiving at least 80 mg/day of oral furosemide (or equivalent), will be enrolled in LOVE-HF (comparing the Heartfelt device on top of standard care to standard care: figure 1 ) and LOVE-HF-2 (comparing the Heartfelt device to weight monitoring: figure 2 ). The efficacy outcome of interest is 'number of days alive out of hospital'. Secondary outcomes include serious adverse events, quality of life, mental wellbeing, hopelessness scores and HF-symptoms. 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 … (more)
- Is Part Of:
- Heart. Volume 107(2021)Supplement 1
- Journal:
- Heart
- Issue:
- Volume 107(2021)Supplement 1
- Issue Display:
- Volume 107, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 107
- Issue:
- 1
- Issue Sort Value:
- 2021-0107-0001-0000
- Page Start:
- A100
- Page End:
- A102
- Publication Date:
- 2021-06-04
- Subjects:
- Lower limb oedema -- artificial intelligence remote monitoring -- Heart Failure
Heart -- Diseases -- Treatment -- Periodicals
Cardiology -- Periodicals
616.12 - Journal URLs:
- http://www.bmj.com/archive ↗
http://heart.bmj.com ↗
http://www.heartjnl.com ↗ - DOI:
- 10.1136/heartjnl-2021-BCS.131 ↗
- Languages:
- English
- ISSNs:
- 1355-6037
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25293.xml