Heart Failure Clinical Trial
Official title:
Using Cardiovascular Magnetic Resonance Tissue Characterisation and Wearable Technology to Predict Clinical Outcomes, Response to Therapy and Arrhythmias in Hospitalised Heart Failure Patients
150 patients admitted to University Hospital Southampton with heart failure will undergo
comprehensive Cardiovascular Magnetic Resonance (CMR) imagining during their admission and
continuous heart rhythm monitoring using wearable technology post discharge.
We hypothesise that analysis of this outcome data will discover novel CMR tissue
characterisation and heart rhythm biomarkers that can be used to predict adverse clinical
outcomes in heart failure populations and how individual patients will respond to specific
therapies.
PREDICT-HF a low risk single centre observational study in which 150 consecutive patients
admitted with a new, primary diagnosis of heart failure undergo advanced CMR to
non-invasively establish their individual myocardial tissue characteristics during their
initial presentation.
All study participants will be invited to participate in an optional heart rhythm and rate
monitoring sub study which will involve continuous electrocardiographic monitoring for up to
2 days prior to discharge and up to 30 day immediately post discharge using a Samsung S-PATCH
device.
To enable multivariate statistical analysis to be performed each study participant will
undergo a range of validated investigation to comprehensively establish and monitor other
recognised heart failure prognostic biomarkers.
Participants will be managed per current NICE heart failure guidelines and will undergo
rigorous clinical reviews at 6, 12 and 24 months. All clinically relevant event data e.g.
MACE, rehospitalisation, decompensation and arrhythmias will be meticulously recorded for
each participant throughout the study period.
This study will identify novel CMR derived tissue characterisation biomarkers of adverse
outcome, response to therapy and arrhythmias in a hospitalised heart failure population. It
will also be the first study to utilise wearable heart monitoring technology to accurately
record heart rate and rhythm data in this population and investigate the potential impact of
this on patient's clinical management and outcomes.
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