Detecting EARLY Heart Failure in Greater Manchester (EARLY-HF)

September 26, 2025 updated by: Manchester University NHS Foundation Trust

Detecting EARLY Heart Failure in Greater Manchester (EARLY-HF)

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Observational

Enrollment (Estimated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Greater Manchester
      • Manchester, Greater Manchester, United Kingdom, M13 9WL
        • Recruiting
        • Manchester University NHS Foundation Trust
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Primary care population with risk factors for heart failure

Description

Inclusion Criteria:

  • 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

Exclusion Criteria:

  • 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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Participants in primary care with risk factors for heart failure
No intervention is applied to participants. The risk calculator score is not released to the participants or care providers. Participants are followed up for risk calculator accuracy and recalibration.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Preliminary measures of risk calculator validation and accuracy in Greater Manchester
Time Frame: 5 years
Risk calculator will predict incident heart failure, first heart failure hospitalisation, cardiovascular death and all cause death
5 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Qualitative measures of primary care uptake and engagement
Time Frame: 5 years
Number of participant identification sites, methods of participant identification, proportion of eligible participants contacted and recruited
5 years
Proportion of participants recruited from socioeconomically deprived and ethnically diverse backgrounds
Time Frame: 5 years
Ability to recruit participants from socioeconomically deprived and ethnically diverse backgrounds within Greater Manchester
5 years
Measures of prognostic model calibration and discrimination in a primary care population
Time Frame: 5 years
Examples include calibration slope, intercept and Harrell's C statistic
5 years
Measures of prognostic model optimisation and accuracy with iterative variable inclusion or exclusion
Time Frame: 5 years
Assess variable inclusion and exclusion using stepwise model selection and Wald statistic
5 years
Causal statistical analysis to determine effect of hypothetical interventions
Time Frame: 5 years
Mediation analysis to determine causative effects of hypothetical interventions
5 years
Measures of cost effectiveness of the model in Greater Manchester
Time Frame: 5 years
Examples include decision curve analysis
5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 9, 2023

Primary Completion (Estimated)

September 1, 2030

Study Completion (Estimated)

September 1, 2030

Study Registration Dates

First Submitted

July 13, 2023

First Submitted That Met QC Criteria

July 13, 2023

First Posted (Actual)

July 21, 2023

Study Record Updates

Last Update Posted (Estimated)

October 1, 2025

Last Update Submitted That Met QC Criteria

September 26, 2025

Last Verified

September 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • B01899

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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