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| Name | Class |
|---|---|
| University of Leicester | OTHER |
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This project will examine the diagnosis and prognosis of patients with cardiovascular disease in hospital in- and outpatients and compare their characteristics with normal controls from the community. The cardiovascular diseases studied include coronary artery disease, heart failure, heart attacks, valve disease, cardiac surgery, dysrhythmias, aneurysms, embolism, strokes, peripheral vascular disease and hypertension. Current methods for diagnosis and predicting outcome in patients are limited and may lack accuracy. This study will collect clinical details, and blood and urine samples from patients for analysis of proteins, chemicals and genetic biomarkers which will enable an examination of the pathological mechanisms involved in cardiovascular disease. The data will also be used to improve diagnosis and also improve prediction of outcome in patients (future clinical events such as death, further hospitalisation with cardiovascular disease and the effects of any therapy given to the patients). In this way, we can develop accurate ways of assessing a patient's condition and how it could be effectively managed. The study will last for 20 years.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Observation | Other | Physiological Measurements Patient reported questionnaire Blood sampling |
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| Measure | Description | Time Frame |
|---|---|---|
| To improve understanding of disease mechanisms in cardiovascular disease | The principal objective is to improve upon our understanding of disease mechanisms in cardiovascular disease, using plasma and urine proteins or chemicals and a patient's genetic makeup, which may impact on the diagnosis and assessment of prognosis of cardiovascular disease. | 20 Years |
| Measure | Description | Time Frame |
|---|---|---|
| To improve prediction of responses to different treatments, using blood proteins or chemicals and a patient's genetic makeup | Secondary objectives include predicting response to different treatments (which would include drugs, devices) using blood proteins or chemicals and a patient's genetic makeup, after appropriate matching by propensity scoring. Plus, assessing whether biomarkers in stool or other tissue can discern the presence and severity of coronary artery disease. |
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Inclusion Criteria:
Exclusion Criteria:
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Participants recruited from secondary care, inpatient and outpatient departments.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Emma P Beeston | Contact | 0116 204 4738 | emma.beeston@uhl-tr.nhs.uk | |
| Tara Maitland | Contact | 0116 204 4737 | tara.maitland@uhl-tr.nhs.uk |
| Name | Affiliation | Role |
|---|---|---|
| Nilesh J Samani, Professor | NIHR Leicester Biomedical Research Centre | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospitals Leicester | Recruiting | Leicester | United Kingdom |
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| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
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| ID | Term |
|---|---|
| D019370 | Observation |
| ID | Term |
|---|---|
| D008722 | Methods |
| D008919 | Investigative Techniques |
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| 20 Years |