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Coronary heart disease is the UK’s single biggest killer. Nearly one in six men and more than one in ten women die from coronary artery disease (CAD) and around 2.3 million people live with a coronary heart disease in the UK. The cost of premature death, lost productivity, hospital treatment and prescriptions is estimated at £19 billion (1).
Patients undergoing surgery are at risk of major peri-operative cardiac events due to the increased stress on the heart. There is therefore a need to identify patients who are at high risk of cardiac events preoperatively so that effective informed consent, prognostication and risk modification can occur. Currently, preoperative assessments seek to identify “high risk” patients with consensus guidelines categorising patients into risk groups for cardiac complications using demographics, co morbidities, functional capacity and planned operation as discriminators. However, these methods discriminate only moderately well between patients at high versus low risk.
Computed Tomography (CT), an imaging technique where an x-ray source is rotated around the patient (typically in a spiral fashion), cannot assess the coronary arteries as cardiac movement blurs them. Cardiac Computed Tomographic Angiography (CTCA), similar to standard CT, has been shown to be effective in demonstrating CAD in the pre-operative patient. However, it requires many more rotations around the patient which results in a higher radiation exposure, necessitating it being done as a separate scan.
Recent advances in CT technology have made it possible to perform cardiac CT using a new technique – prospective axial scanning. This scan only requires a small part of the cardiac cycle to obtain images and has been shown to be as accurate as a spiral CTCA in selected patients. This technique is more dose efficient and is typically less radiation then a standard CT scan.
However, such a technique has not been performed before and so there is no information on its accuracy. Two important pieces of information are required:
These key questions will form the basis of the project. Assessment of the potential role of the new technique requires the following stages:
This study aims to improve the prediction of risk of cardiac events in patients about to undergo major operations and improve patient’s outcomes.
The key objectives of this project are:
1. Coronary heart disease statistics A compendium of health statistics 2012 edition. Nick Townsend, Kremlin Wickramasinghe, British Heart Foundation Health Promotion Research Group. Department of Public Health, University of Oxford
2. Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology.2014 Mar;120(3):564-78
Pang CL, Pilkington N, Wei Y, Peters J, Roobottom C, Hyde C (2018). A methodology review on the incremental prognostic value of computed tomography biomarkers in addition to Framingham risk score in predicting cardiovascular disease: the use of association, discrimination and reclassification. BMC Cardiovascular Disorders 18(39)
18 September 2019
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28 August 2019
Dr Barbara Vann has been appointed chair of the NIHR Applied
Research Collaboration (ARC) South...
15 August 2019
We have an exciting opportunity for an experienced Senior Research
Fellow with expertise in qualitative...
Theme: CLAHRC - Person-Centred Care
We have been awarded funding from the National Institute for Health
Research (NIHR) to develop...
This study aims to develop a tool for doctors to help them review