Using Cardiovascular Magnetic Resonance Tissue Characterisation and Wearable Technology to PREDICT Clinical Outcomes, Response to Therapy and Arrhythmias in Hospitalised Heart Failure Patients (PREDICT-HF)
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.
Studienübersicht
Status
Bedingungen
Detaillierte Beschreibung
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.
Studientyp
Einschreibung (Voraussichtlich)
Kontakte und Standorte
Studienorte
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Hampshire
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Southampton, Hampshire, Vereinigtes Königreich, SO166YD
- Rekrutierung
- University Hospital Southampton
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Kontakt:
- Andrew Flett, MBBS MD(Res) MRCP BSc(Hons)
- Telefonnummer: 02381205906
- E-Mail: andrew.flett@uhs.nhs.uk
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Kontakt:
- Robert Adam, MBBS MRCP BSc(Hons)
- Telefonnummer: 6744 02380777222
- E-Mail: robert.adam@uhs.nhs.uk
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Hauptermittler:
- Andrew Flett, MBBS MD(Res) MRCP BSc(Hons)
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Unterermittler:
- Robert Adam, MBBS MRCP BSc(Hons)
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Teilnahmekriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Probenahmeverfahren
Studienpopulation
All patients admitted to University Hospital Southampton with a new primary diagnosis of heart failure will be considered for the study.
The diagnosis of heart failure will be confirmed by a senior cardiologist with a subspecialty interest in heart failure following detailed review of the patient's history, clinical findings and investigations using the following diagnostic criteria:
Signs and symptoms of heart failure
&
- Objective evidence of cardiac dysfunction either by;
Left ventricular ejection fraction of ≤ 50%
or;
Plasma concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP) >400 pg/mL if in sinus rhythm or > 1000 pg/ml if in atrial fibrillation/flutter and being treated with either oral or intravenous furosemide ≥40 mg/day or equivalent at the time of inclusion.
Beschreibung
Inclusion Criteria:
- Age ≥18
- First hospital admission with a diagnosis of HF (as defined below)
- Able and willing to provide informed consent
- Able to undergo CMR
Exclusion Criteria:
- Known or subsequent diagnosis of amyloidosis, sarcoidosis or hypertrophic cardiomyopathy
- Severe valve disease of any type requiring inpatient surgery
- Heart transplant recipient or admitted for cardiac transplantation/ left ventricular assist device
- Clinically apparent myocardial ischemia which requires revascularisation
- Myocardial infarction or revascularisation within the previous 60 days
- Intra cardiac mass which requires surgery
- Active endocarditis
- Septicaemia
- Pregnancy
- Life expectancy <2 years secondary to any other cause (i.e. malignancy)
- Active treatment with chemotherapy
- Severe renal failure (GFR <30)
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Beobachtungsmodelle: Nur Fall
- Zeitperspektiven: Interessent
Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
All Cause Mortality
Zeitfenster: 2 years
|
Number of deaths within the study population
|
2 years
|
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Rehospitalisation with heart failure
Zeitfenster: 2 years
|
Number of Rehospitalisations with heart failure within the study population
|
2 years
|
Andere Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Cardiac arrythmia
Zeitfenster: 30 days
|
The number of any cardiac arrhythmia following discharge within the study population
|
30 days
|
Mitarbeiter und Ermittler
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Tatsächlich)
Primärer Abschluss (Voraussichtlich)
Studienabschluss (Voraussichtlich)
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
- CAR0540
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