Detecting EARLY Heart Failure in Greater Manchester (EARLY-HF)
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 600
- 试验地点
- 1
- 主要终点
- Preliminary measures of risk calculator validation and accuracy in Greater Manchester
研究概览
简要总结
Heart failure represents a growing public health problem within the UK and particularly within the North West of England. A major challenge is that heart failure is currently diagnosed too late.
The researchers have previously developed a risk calculator that accurately identifies individuals at risk of heart failure admission or death before they have developed heart failure.
Most risk calculators are never implemented into clinical practice. The researchers will l perform a pilot study to evaluate the risk calculator within primary care in Greater Manchester.
详细描述
The researchers have previously developed and externally validated a novel multimodal risk calculator that accurately identifies individuals at-risk of heart failure admission or death before they have developed heart failure. This risk calculator includes key co-morbidities, circulating biomarkers and cardiac magnetic resonance imaging (CMR) measurements of cardiac structure and function. It identifies those individuals at highest risk of developing heart failure and therefore those who may most benefit from targeted cardiometabolic therapeutics in the future.
The researchers will l perform a pilot study to evaluate the risk calculator within primary care in Greater Manchester. A qualitative and quantitative assessment of risk calculator uptake will be performed within local GP practices and primary care populations. The research team will determine how effectively they can recruit participants from socioeconomically deprived and ethnically diverse backgrounds. A preliminary analysis will be performed to determine risk calculator accuracy within a prospective primary care cohort, and dynamically refine the model aiming to improve performance. The study will also involve conducting an initial cost effectiveness analysis to determine the real-world economic impact of model implementation.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 50 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Written informed consent
- •Aged 50 and over
- •Two or more of the following conditions: type 2 diabetes, chronic obstructive pulmonary disease, ischaemic heart disease, atrial fibrillation, hypertension, chronic kidney disease stage 3, body mass index ≥ 30 kg/m2
排除标准
- •Established diagnosis of one or more of the following: heart failure, cardiomyopathy, moderate or severe valvular heart disease, congenital heart disease, heart transplant, idiopathic, heritable or drug-induced pulmonary arterial hypertension, any medical condition, which in the opinion of the Investigator, may place the patient at higher risk from his/her participation in the study, or is likely to prevent the patient from complying with the requirements of the study or completing the study.
- •Contraindication to cardiovascular magnetic resonance (CMR) scanning, including pacemaker, defibrillator, intraocular metal, intracranial aneurysm clips, severe claustrophobia, estimated glomerular filtration rate < 30 ml/min/1.73m2, previous severe allergic reaction or anaphylaxis to gadolinium-based contrast agent, pregnancy or breastfeeding.
结局指标
主要结局
Preliminary measures of risk calculator validation and accuracy in Greater Manchester
时间窗: 5 years
Risk calculator will predict incident heart failure, first heart failure hospitalisation, cardiovascular death and all cause death
次要结局
- Proportion of participants recruited from socioeconomically deprived and ethnically diverse backgrounds(5 years)
- Causal statistical analysis to determine effect of hypothetical interventions(5 years)
- Measures of cost effectiveness of the model in Greater Manchester(5 years)
- Qualitative measures of primary care uptake and engagement(5 years)
- Measures of prognostic model calibration and discrimination in a primary care population(5 years)
- Measures of prognostic model optimisation and accuracy with iterative variable inclusion or exclusion(5 years)