NCT05750147

Brief Summary

Cardiomyopathies are diseases of the heart muscle. Known genetic factors may account for some cardiomyopathy cases but there is still much to understand about the genetic and environmental causes and how the disease progresses. Finding new ways to diagnose and treat cardiomyopathies could improve the health and well-being of patients with these conditions. This study will collect data from individuals with cardiomyopathy or related heart muscle disease, or with a possible genetic predisposition to cardiomyopathy, and follow them over time to observe the progress of their heart and health. This study will collect DNA, blood samples, and detailed clinical \& lifestyle information at the start of the study, and data collected during routine healthcare visits over time.

  • learn what causes cardiomyopathy, and therefore how to treat it
  • understand why cardiomyopathy progresses differently in different people, to improve the ability to recognise who will benefit from different treatments at different times The investigators will collaborate with other centres internationally to collect a large of group of participants with similar cardiomyopathies, providing power to identify new pathways that cause disease and ways of predicting which participants are at risk of having more severe disease.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
14mo left

Started Mar 2023

Longer than P75 for all trials

Geographic Reach
1 country

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress74%
Mar 2023Aug 2027

First Submitted

Initial submission to the registry

January 23, 2023

Completed
1 month until next milestone

First Posted

Study publicly available on registry

March 1, 2023

Completed
Same day until next milestone

Study Start

First participant enrolled

March 1, 2023

Completed
4.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 1, 2027

Last Updated

March 6, 2024

Status Verified

March 1, 2024

Enrollment Period

4.4 years

First QC Date

January 23, 2023

Last Update Submit

March 5, 2024

Conditions

Outcome Measures

Primary Outcomes (2)

  • Incidence of genetic variants

    Rare and common genetic variants in people with cardiomyopathy

    5 years

  • The incidence of major adverse cardiovascular events over 5 years

    The incidence of major adverse cardiovascular events over 5 years, defined as:- 1. Cardiovascular death 2. Major arrhythmic events (ventricular fibrillation, unstable sustained ventricular tachycardia, appropriate implantable cardioverter-defibrillator delivered shock, and aborted sudden cardiac death) 3. Major heart failure events (heart transplantation, left ventricular assist device implantation, unplanned heart failure hospitalisation)

    5 years

Study Arms (1)

Cardiomyopathies

Approximately 1000 participants recruited prospectively from participating sites with a diagnosis of cardiomyopathy Participants will provide biosamples and allow access to medical scans and records for health data collection

Other: Blood Sample Collection

Interventions

Blood for DNA and biomarker analysis

Cardiomyopathies

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

People with a diagnosis of cardiomyopathy, or a family member of cardiomyopathy or a genetic predisposition to cardiomyopathy of any age and any sex.

You may qualify if:

  • Adults with the capacity to consent Children with parental/guardian consent Male and Female
  • Meeting the following criteria:
  • Patients with a confirmed diagnosis of cardiomyopathy or related condition
  • Patients with a family member with cardiomyopathy, or a related condition
  • Patients with a genetic variant that may predispose to cardiomyopathy, or a related condition

You may not qualify if:

  • Patients without the capacity to provide informed consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Guys & St Thomas' NHS Foundation Trust

London, United Kingdom

RECRUITING

Kings College Hospital

London, United Kingdom

RECRUITING

Biospecimen

Retention: SAMPLES WITH DNA

1. Blood- plasma and serum 2. Saliva 3. Collection of additional tissue samples (myocardial, skeletal, skin) or excess diagnostic materials from planned clinical procedures (where applicable)

MeSH Terms

Conditions

CardiomyopathiesCardiomyopathy, HypertrophicCardiomyopathy, Dilated

Condition Hierarchy (Ancestors)

Heart DiseasesCardiovascular DiseasesAortic Stenosis, SubvalvularAortic Valve StenosisAortic Valve DiseaseHeart Valve DiseasesCardiomegalyLaminopathiesGenetic Diseases, InbornCongenital, Hereditary, and Neonatal Diseases and Abnormalities

Study Officials

  • James Ware

    Imperial College London

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Coordinator

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 23, 2023

First Posted

March 1, 2023

Study Start

March 1, 2023

Primary Completion (Estimated)

August 1, 2027

Study Completion (Estimated)

August 1, 2027

Last Updated

March 6, 2024

Record last verified: 2024-03

Data Sharing

IPD Sharing
Will share

Data will be shared with collaborating researchers in a pseudonymised fashion (removing names, addresses, identifying numbers, DOB etc)

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR
Time Frame
During study duration (Aug 2027)
Access Criteria
Provided through secure data transfer mechanisms approved by Imperial College London, following full GDPR (data protection) assessments and collaborating agreements.

Locations