Collecting ECG data and patient insights on heart failure care

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to create a high-resolution electrocardiogram (ECG) data library to support future heart disease research. Patients with heart failure will undergo clinical assessments, and their ECGs will contribute to this library. The study also seeks to gather patient perspectives on current standard care and routine diagnostic procedures, which will inform the design of future heart failure trials. Participants may provide feedback on study designs and receive updates on new therapy options.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Male or female participants aged 45 to 80 years (inclusive) at the date of signing the informed consent.
2. Diagnosed with heart failure.
3. Able and willing to provide informed consent to participate.

Exclusion Criteria:

1. Diagnostic test results positive for:

   1. HIV-1 or HIV-2 infection
   2. Hepatitis B or Hepatitis C infection
2. Mental incapacity, language barriers or unwillingness to comply with the requirements of the protocol, which may preclude adequate understanding or cooperation during the study as judged by the Investigator.
3. Any condition judged by the Investigator to pose an undue risk while participating in the trial
4. Diagnostic results which are inconsistent with heart failure with mildly reduced or preserved ejection fraction as judged by the Investigator.

Where it's running

• Richmond Pharmacology
  London, London, United Kingdom Recruiting
• Richmond Pharmacology
  London, London, United Kingdom Recruiting

Study contacts

• Principal investigator: Principal Investigator — Richmond Pharmacology
• Study coordinator: Volunteer Recruitment Team
• Email: volunteer@richmondpharmacology.com
• Phone: +44 (0) 207 042 5800

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Using Apple Watch data to predict heart failure outcomes

  This study is testing if data from Apple Watches can help predict heart failure problems and the chances of needing to go back to the hospital for patients with heart failure.

  Recruiting University Medical Center Goettingen · Goettigen, Lower Saxony · NCT06819618

• Comparing Aortix Device to Diuretics for Acute Heart Failure

  This study is testing whether the Aortix device can help people with acute heart failure who aren't responding to diuretics feel better compared to standard treatment.

  Recruiting at 33 sites Procyrion · Phoenix, Arizona and 49 other locations · NCT05677100

• Myocardial Energetics Across Cardiovascular Disease Spectrum Using 31P-MRS

  Researchers are testing whether phosphorus-31 magnetic resonance spectroscopy (31P-MRS) can map heart energy metabolism across healthy people and patients with various heart conditions.

  Recruiting Chinese Academy of Medical Sciences, Fuwai Hospital · Beijing · NCT07912086

• Tailored digital support to cut sedentary time in long-term cardiac rehab

  In adults in a long-term cardiac rehabilitation program, this study tests whether a personalized behavioural program with digital tools can reduce daily sitting time.

  Recruiting University of Lisbon · Lisbon, Lisbon District · NCT07910812

• NT-proBNP–guided heart failure screening for people 65+ in rural China

  This study tests whether using NT-proBNP blood tests to guide heart failure screening in adults 65 and older in rural China can find unrecognized heart problems more effectively than symptom-based screening.

  Recruiting Jiangsu Taizhou People's Hospital · Nanjing · NCT07885488

• Voice-based detection of heart failure deterioration using Noah Labs Vox

  This study tests whether a voice-analysis app can flag worsening heart failure in adults by comparing its alerts to standard weight-based monitoring.

  Recruiting Noah Labs · Boston, Massachusetts · NCT07870395

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.