Skip to main content
Clinical Trials/NCT06446271
NCT06446271
Recruiting
Not Applicable

Biomarkers in SCOTland CardiomyopatHy Registry

NHS Greater Glasgow and Clyde1 site in 1 country750 target enrollmentJune 26, 2024

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Cardiomyopathies
Sponsor
NHS Greater Glasgow and Clyde
Enrollment
750
Locations
1
Primary Endpoint
Biomarker performance
Status
Recruiting
Last Updated
last year

Overview

Brief Summary

Genetic cardiomyopathy is increasingly recognised and can lead to heart failure, arrhythmia and sudden cardiac death. Some gene positive patients have rapidly progressive disease with high rates of heart failure and cardiac transplantation, while others present with SCD. Other gene positive patients will never develop cardiomyopathy. At present, we cannot distinguish between these groups and rely on expensive and labour-intensive surveillance by electrocardiography, echocardiography and sometimes cardiac magnetic resonance imaging.

This study will investigate existing and novel biomarkers (including blood, urine electrocardiographic and imaging) at various stages of disease in patients with a personal or family history of TTN, MYBPC3, LMNA, FLNC or DSP gene variant, which are known to cause cardiomyopathy.

Detailed Description

There is a growing appreciation for the role that genetics play in the development of cardiomyopathy, which can lead to heart failure, arrhythmia and sudden cardiac death. Increased use of genetic testing has identified numerous gene variants, which cause cardiomyopathy with dilated, hypertrophic, restrictive, non-dilated left ventricular and arrhythmogenic right ventricular phenotypes described. Some gene variants cause a rapidly progressive cardiomyopathy with high rates of heart failure and cardiac transplantation, while others present with SCD, meaning that genotype-specific risk stratification and clinical surveillance is urgently needed. Some gene-positive individuals will never develop cardiomyopathy due to variable penetrance. At present, we cannot distinguish between these patients and therefore rely on expensive and labour-intensive surveillance by electrocardiography, echocardiography and sometimes cardiac magnetic resonance imaging. For every gene-positive affected individual with cardiomyopathy, cascade genetic testing will identify other gene-positive family members who are often asymptomatic and may not yet be affected. A blood or urine-based biomarker that identifies pre-clinical disease or cardiomyopathy would allow for more efficient monitoring of gene positive people and could replace multiple, repeated electrocardiograms, echocardiograms and cardiac magnetic resonance imaging scans. A biomarker that accurately identifies pre-clinical cardiomyopathy could enable targeted early treatment. A biomarker that predicts future disease progression would be of high clinical value.

Registry
clinicaltrials.gov
Start Date
June 26, 2024
End Date
March 19, 2027
Last Updated
last year
Study Type
Observational
Sex
All

Investigators

Responsible Party
Sponsor

Eligibility Criteria

Inclusion Criteria

  • Male or female ≥10 years of age
  • Written informed consent / assent
  • Pathogenic or likely pathogenic variant in a cardiomyopathy gene (TTN, LMNA, MYBPC3, DSP, FLNC) or undergoing predictive genetic testing (if negative these people would be invited to enter the control arm)

Exclusion Criteria

  • Unable to consent.
  • Geographical / social reasons preventing attending study centre
  • Unable to complete study assessments.
  • Severe non-cardiac disease expected to reduce life expectancy \< 5 years
  • Current participation in a blinded drug interventional trial (or treatment within 4 weeks)

Outcomes

Primary Outcomes

Biomarker performance

Time Frame: 3 years

Diagnostic performance of existing and novel biomarkers across the spectrum of disease in patients with pathogenic/ likely pathogenic TTN, MYBPC3, LMNA, FLNC or DSP gene variants.

Secondary Outcomes

  • Natural history of genetic cardiomyopathies(3 years with long-term data linkage)
  • Biomarker correlation(3 years)
  • Prediction of cardiomyopathy progression(3 years with long-term data linkage)
  • Prediction of cardiomyopathy development(3 years with long-term data linkage)

Study Sites (1)

Loading locations...

Similar Trials