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| ID | Type | Description | Link |
|---|---|---|---|
| FS/15/27/31465 | Other Grant/Funding Number | British Heart Foundation |
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| Name | Class |
|---|---|
| St. Bartholomew's Hospital | OTHER |
| Cardiac Risk in the Young | OTHER |
| British Heart Foundation | OTHER |
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This project will expand on research conducted by the investigators' group, where the investigators have demonstrated increased LV trabeculation, satisfying currently existing criteria for LV Non-Compaction Cardiomyopathy (LVNC), in groups exposed to high cardiac workloads. To the investigators' knowledge, this will be the first prospective study aiming to demonstrate a direct relationship between high levels of exercise and increased LV trabeculation. This study may add weight to the theory that this entity currently described as LVNC, is a morphological epiphenomenon common to many distinct myocardial remodeling processes associated with increased cardiac preload and afterload and may better define normal adaptive increases in LV trabeculation.
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.
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| Measure | Description | Time Frame |
|---|---|---|
| Thickness of Compacted Myocardial Tissue (cm) | Measured on echocardiography and cardiac magnetic resonance:
| Baseline and 7 months |
| Thickness of Non-compacted Myocardial Tissue (cm) | Measured on echocardiography and cardiac magnetic resonance:
| Baseline and 7 months |
| Myocardial Fractal Dimension | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Increase in Peak Oxygen Consumption on Cardiopulmonary Exercise Testing After Training | 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 | Baseline and 7 months |
| Measure | Description | Time Frame |
|---|---|---|
| Change in NTproBNP Levels | 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 |
Inclusion Criteria:
1. Asymptomatic and normotensive sedentary individuals (≤2 hours/week of physical activity) aged 18-35 years
Exclusion Criteria:
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Healthy participants running first marathon event in Virgin London Marathon 2016.
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| Name | Affiliation | Role |
|---|---|---|
| Sanjay Sharma, MD FRCP FESC | St George's, University of London | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Barts Heart Centre | London | EC1A 7BE | United Kingdom |
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| Label | URL |
|---|---|
| Participant information website | View source |
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| ID | Title | Description |
|---|---|---|
| FG000 | Study Group | 120 subjects recruited into study. 18-35 years old and had never run a marathon distance previously. Individuals were excluded if they had pre-existing cardiovascular disease during preliminary investigations or contraindication to cardiac magnetic resonance (CMR). |
| Title | Milestones | Reasons Not Completed | ||||||||||||||||||||||||
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| Overall Study |
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| ID | Title | Description |
|---|---|---|
| BG000 | Study Group | 120 subjects recruited into study. 18-35 years old and had never run a marathon distance previously. Individuals were excluded if they had pre-existing cardiovascular disease during preliminary investigations or contraindication to cardiac magnetic resonance (CMR). |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Thickness of Compacted Myocardial Tissue (cm) | Measured on echocardiography and cardiac magnetic resonance:
| One subject did not undergo cardiac magnetic resonance imaging post marathon due to first trimester pregnancy 68 Participants underwent the "Jenni Compacted layer measurement (cm)" and 67 Participants underwent the "Petersen Compacted layer measurement (cm)" | Posted | Median | Inter-Quartile Range | cm | Baseline and 7 months |
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Study Group | 120 subjects recruited into study. 18-35 years old and had never run a marathon distance previously. Individuals were excluded if they had pre-existing cardiovascular disease during preliminary investigations or contraindication to cardiac magnetic resonance (CMR). |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr Andrew D'Silva | St George's, University of London | 020 7188 7188 | 51554 | adsilva@nhs.net |
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| ID | Term |
|---|---|
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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Blood samples. Urine samples.
| Withdrawal by Subject |
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| Sustained injury, marathon not run |
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| Participants |
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| Age, Continuous | Mean | Standard Deviation | years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| 7 Months |
Study participants evaluated after completing the 2016 London Marathon |
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| Primary | Thickness of Non-compacted Myocardial Tissue (cm) | Measured on echocardiography and cardiac magnetic resonance:
| One subject did not undergo cardiac magnetic resonance imaging post marathon due to first trimester pregnancy 68 Participants underwent the "Jenni Compacted layer measurement (cm)" and 67 Participants underwent the "Petersen Compacted layer measurement (cm)" | Posted | Median | Inter-Quartile Range | cm | Baseline and 7 months |
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| Primary | Myocardial Fractal Dimension | 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). | One subject did not undergo cardiac magnetic resonance imaging post marathon due to first trimester pregnancy 67 Participants underwent the "Fractal Dimension analysis" with paired results at baseline and at 7 months. | Posted | Mean | Standard Deviation | unitless | Baseline and 7 months |
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| Secondary | Increase in Peak Oxygen Consumption on Cardiopulmonary Exercise Testing After Training | 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 | Three subjects did not have complete cardiopulmonary exercise testing results post marathon, two due to injuries sustained and one due to equipment failure. 68 Participants underwent the cardiopulmonary exercise test at baseline but 65 Participants underwent the cardiopulmonary exercise test at 7 months. | Posted | Mean | Standard Deviation | ml/kg/min | Baseline and 7 months |
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| Other Pre-specified | Change in NTproBNP Levels | 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. | As no changes in remodelling data were demonstrated in the primary analysis, it was felt by the primary supervisor that NTproBNP levels would not be expected to change and further investigation and expense would not be of value. The initial hypothesis that NTproBNP levels would change was predicated on the assumption that remodelling changes would be found and correlation with biomarker elevation would have yielded some insights had remodelling occurred. | Posted | Baseline and 7 months |
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| 0 |
| 120 |
| 0 |
| 120 |
| 0 |
| 120 |
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