- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02568072
Training-induced Increased Left Ventricular Trabeculation (MARATHON)
Increased Left Ventricular Trabeculation in Athletes - a Marker of Left Ventricular Non-compaction or a Physiological Epiphenomenon of Increased Cardiac Preload?
Study Overview
Status
Detailed Description
Background of Left Ventricular Non-Compaction Cardiomyopathy Left Ventricular Non-Compaction Cardiomyopathy (LVNC) is a myocardial disorder defined by increased left ventricular (LV) trabeculation and intertrabecular recesses communicating with the LV cavity. The condition is associated with progressive heart failure, systemic thromboembolism and a predilection to fatal ventricular arrhythmia and sudden cardiac death. However, a large proportion of affected individuals may be asymptomatic. One cohort study demonstrated 28% of detected cases of LVNC were asymptomatic, with the majority being identified through family screening. It must be emphasized that currently there is no diagnostic tool, neither genetic nor imaging, that can categorically identify an individual as having LVNC or not. This lack of a 'gold standard' makes the description of increased left ventricular trabeculation difficult, creating a tendency to apply a diagnostic label of LVNC inappropriately.
Traditional thought has been that LVNC results from arrest of the normal trabecular regression and myocardial compaction that occurs during embryological development. However, this concept is challenged by reported cases of 'acquired' LVNC, where serial echocardiograms have demonstrated a transition from a normal endocardial appearance to a hypertrabeculated LVNC phenotype. Whether this is a delayed presentation of a genetically heterogeneous cardiomyopathy or a morphological epiphenomenon shared by many phenotypically distinct cardiomyopathies, remains unknown. This irresolution is exemplified by international discordance, with the American Heart Association classifying LVNC as a genetic cardiomyopathy and the European Society of Cardiology and World Health Organisation taking the view that LVNC remains an 'unclassified cardiomyopathy'.
In the absence of congenital heart disease, LVNC was thought to be an extremely rare condition with a prevalence between 0.05% and 0.24%. Technical advances in echocardiography, largely second harmonic imaging, have led to improvement in LV apex and lateral wall visualization, which has dramatically increased the frequency of detection in the last 20 years.
Limitations in current diagnostic criteria At present, various diagnostic criteria exist entirely based on morphological findings on echocardiography or magnetic resonance imaging (MRI). All of these criteria have limitations in that they are generated from small patient cohorts, have substantial inter-observer variability and poor correlation between them. This is perhaps not surprising as they all measure different parameters in different echo planes and during different phases of the cardiac cycle.
In a study by Kohli et al, 24% of heart failure patients had at least one of three diagnostic echocardiography criteria for LVNC (Chin 19%, Jenni 15%, Stollberger 13%), as well as 8% of healthy controls, most of whom were of black ethnicity. Only 7% fulfilled all three criteria, indicating the relatively poor concordance between these criteria. These studies highlight the concern that echocardiographic criteria are too sensitive and lack specificity, particularly in black individuals, resulting in over-diagnosis of LVNC.
Whilst MRI has advantages over echocardiography in tissue characterisation, superior contrast-to-noise and signal-to-noise ratio and greater ability to visualize the cardiac apex, CMR criteria for the identification of LVNC suffer the same limitations as for echocardiography. When applying CMR criteria from Petersen et al, a recent population-based prospective multi-ethnic cohort study identified 25.7% of a low-risk 'healthy' population meeting criteria for LVNC.
Currently, application of imaging-based criteria for diagnosis to low risk populations creates a considerable burden of anxiety, potential loss of opportunity/earnings, unnecessary investigations and clinical follow-up, with their associated costs to the National Health Service. There is a considerable need in this area to evaluate what cardiac imaging criteria contribute to the diagnosis of LVNC. Indeed, some propose integration of clinical criteria including malignant arrhythmias, thromboembolic events, neuromuscular disorders and family history of LVNC into a diagnostic algorithm, though none currently exist.
Influence of ethnicity in cardiac remodeling and pilot data Racial differences in cardiac remodeling have previously been described with respect to cardiac hypertrophy. Athletes develop physiological increases in LV wall thickness and cavity size in an adaptive response to high cardiac preload and afterload. This response is exaggerated in black athletes. For the purposes of this study, black ethnicity will be defined as a person of African or African-Caribbean origin. In a study comparing highly trained male athletes, 18% of black athletes exhibited left ventricular hypertrophy (LVH), as defined as an LV wall thickness of >12mm, compared with only 4% of white athletes (p<0.001)13.
The investigators' group has shown that athletes also display a higher prevalence of increased LV trabeculation compared with controls (18.3% vs 7.0%; p < 0.0001) with 8.1% of athletes fulfilling conventional echocardiographic criteria for LVNC. As with LVH, this difference in LV hypertrabeculation appears to be exaggerated in black athletes as compared to white athletes (28.8% vs 16.3%; p = 0.002).
The investigators' group has also investigated the presence of increased LV trabeculation in a population of sickle cell anaemia patients. Chronic anaemia of sickle cell disease is associated with an increased LV preload and high cardiac output. The investigators found increased LV trabeculation in 28% of sickle cell anaemia patients as compared with 12% of asymptomatic healthy black controls. 8% of sickle cell anaemia patients fulfilled both Chin and Jenni criteria for LVNC.
These studies have limitations in their cross-sectional design and therefore a relationship of temporal causality between increased cardiac preload and the development of increased LV trabeculations could not be established.
This led the investigators' group to conduct a longitudinal cohort study utilizing pregnancy as a model of increasing cardiac preload and observing the effects on LV trabeculation. During pregnancy, at 28-36 weeks gestation, in increase in LV trabeculation was seen in 25.4%, having demonstrated normal myocardium at baseline. Moreover, 7.8% of women fulfilled Chin and Jenni criteria for LVNC. In addition, black women appeared to demonstrate a higher prevalence of increased LV trabeculation as compared with white women (46% vs. 13%; p = 0.0003).
With this proposed study the investigators aim to be the first to demonstrate that LV hypertrabeculation can be induced with athletic training in individuals with structurally normal hearts and that this will return to baseline after de-training. Although the population sampled will be a healthy cohort, the implications of the investigators' findings would resonate throughout the cardiac imaging community and fundamentally change perspective on the clinical detection of increased left ventricular trabeculation. The investigators aim to go further than before and compare echocardiographic and CMR measurements of left ventricular trabeculation and investigate whether a positive correlation exists between improvement in cardiopulmonary performance and extent of de novo LV hypertrabeculation. The project will also enable the assessment of the impact of gender on the development of LV trabeculation.
Should the investigators' hypothesis prove correct, this would potentially avoid inappropriate diagnostic labelling, unnecessary anxiety, investigations, treatment, follow up and family screening. This study may strongly emphasize the need for more robust diagnostic criteria for the diagnosis of LVNC.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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London, United Kingdom, EC1A 7BE
- Barts Heart Centre
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
1. Asymptomatic and normotensive sedentary individuals (≤2 hours/week of physical activity) aged 18-35 years
Exclusion Criteria:
- Hypertension;
- Previous cardiac history;
- Symptoms suggestive of cardiac disease;
- Use of anabolic steroids;
- Use of performance enhancing drugs;
- Abnormal ECG (As defined by the proposed refined ECG screening criteria for black and white athletes published by the Investigators' group)
- Left ventricular hypertrophy >15 mm in males and >12 mm in females;
- Significant valvular heart disease or intra-cardiac shunt on echocardiography
- Individuals with contraindications to cardiac MRI scanning
- Pregnant or breastfeeding women.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Thickness of Compacted Myocardial Tissue (cm)
Time Frame: Baseline and 7 months
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Measured on echocardiography and cardiac magnetic resonance:
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Baseline and 7 months
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Thickness of Non-compacted Myocardial Tissue (cm)
Time Frame: Baseline and 7 months
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Measured on echocardiography and cardiac magnetic resonance:
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Baseline and 7 months
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Myocardial Fractal Dimension
Time Frame: Baseline and 7 months
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Measured on cardiac magnetic resonance, dimensionless unit and measure of endomyocardial boarder complexity. The higher the value the greater the endocardial boarder complexity and therefore the more trabeculation. Two measurements were made:
These values are between 1 and 2. Binarisation eliminates pixel detail originating from the blood pool. The edge image is covered by a series of grids. The minimum size is set to 2 pixels. The maximum size of the grid series is dictated by the dimensions of the bounding box, referring to the smallest rectangle that encloses the foreground pixels. Through the implementation of this 2D box-counting approach, a fractal output of between 1 and 2 is expected. The log-lot plot (e) produces a good fit using linear regression and yields a gradient equivalent to - FD (1.363). |
Baseline and 7 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Increase in Peak Oxygen Consumption on Cardiopulmonary Exercise Testing After Training
Time Frame: Baseline and 7 months
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peak oxygen consumption measured by cardiopulmonary exercise testing on a semi-recumbent cycle ergometer.
Reported standardised to age, gender, height and weight in ml/kg/min
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Baseline and 7 months
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Change in NTproBNP Levels
Time Frame: Baseline and 7 months
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Serum biomarker level. No outcome data reported as during the conduct of the study remodelling was not seen from baseline to post-marathon study time-points and therefore NTproBNP levels were expected to remain unchanged and would not provide any additional value in the study and so was not undertaken. |
Baseline and 7 months
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Collaborators and Investigators
Investigators
- Principal Investigator: Sanjay Sharma, MD FRCP FESC, St George's, University of London
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 15.0035
- FS/15/27/31465 (Other Grant/Funding Number: British Heart Foundation)
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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