- ICH GCP
- 미국 임상 시험 레지스트리
- 임상시험 NCT03689426
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.
연구 개요
상태
상세 설명
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.
연구 유형
등록 (예상)
연락처 및 위치
연구 연락처
- 이름: Andrew Flett, MBBS MD(Res) MRCP BSc(Hons)
- 전화번호: 02381205906
- 이메일: andrew.flett@uhs.nhs.uk
연구 연락처 백업
- 이름: Robert Adam, MBBS MRCP BSc(Hons)
- 전화번호: 6744 02380777222
- 이메일: robert.adam@uhs.nhs.uk
연구 장소
-
-
Hampshire
-
Southampton, Hampshire, 영국, SO166YD
- 모병
- University Hospital Southampton
-
연락하다:
- Andrew Flett, MBBS MD(Res) MRCP BSc(Hons)
- 전화번호: 02381205906
- 이메일: andrew.flett@uhs.nhs.uk
-
연락하다:
- Robert Adam, MBBS MRCP BSc(Hons)
- 전화번호: 6744 02380777222
- 이메일: robert.adam@uhs.nhs.uk
-
수석 연구원:
- Andrew Flett, MBBS MD(Res) MRCP BSc(Hons)
-
부수사관:
- Robert Adam, MBBS MRCP BSc(Hons)
-
-
참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
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.
설명
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)
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: 케이스 전용
- 시간 관점: 유망한
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
---|---|---|
All Cause Mortality
기간: 2 years
|
Number of deaths within the study population
|
2 years
|
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
---|---|---|
Rehospitalisation with heart failure
기간: 2 years
|
Number of Rehospitalisations with heart failure within the study population
|
2 years
|
기타 결과 측정
결과 측정 |
측정값 설명 |
기간 |
---|---|---|
Cardiac arrythmia
기간: 30 days
|
The number of any cardiac arrhythmia following discharge within the study population
|
30 days
|
공동 작업자 및 조사자
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (예상)
연구 완료 (예상)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- CAR0540
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .
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