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  • Paul Leeson

The Preventive Cardiology Research Group aims to improve how we identify and prevent heart disease in young people. 

About the Research 

The group works in three areas:

- Novel markers of early disease - Using imaging and laboratory studies to identify early cardiac and vascular changes in young people at risk of cardiovascular disease. In particular, those predisposed to hypertension, such as families with a history of preeclampsia or preterm birth.

- Young adult cardiovascular prevention trials - Running trials to understand how novel approaches to lifestyle and clinical management may be able to modify these early risk cardiovascular phenotypes to prevent the development of later disease.

- Artificial intelligence - Pioneering the application of artificial intelligence to large research imaging datasets to improve the clinical tools already available to identify those at risk, such as echocardiography, and to identify next generation imaging and management approaches.

The group has access to large scale multi-organ imaging datasets, including cardiovascular magnetic resonance and echocardiography, alongside health record data and sample collections. Data is collected within observational studies and randomised trials, including some of the largest curated, multi-centre, research echocardiography datasets in the world involving 100,000s of participants. Global collaborations link the group with imaging studies in a range of diverse countries including India and South Africa.

Therefore projects in the research group are appropriate to clinical trainees as well as physiology graduates and computational scientists with an interest in clinical research.

Training Opportunities 

This project can be adapted to provide training in imaging, cardiovascular disease development and human physiology using a range of techniques appropriate to the project. Such methods include echocardiography, cardiovascular magnetic resonance, measures of macro- and microvascular function and cardiopulmonary exercise testing. Where appropriate training in image processing and analysis is available, including computational modelling and application of machine learning. The student would learn about regulatory issues surrounding clinical studies and randomised trials such as ethics, hospital R&D and GCP and attend relevant courses. The type of projects available in the research group are appropriate to both clinical trainees and physiology graduates with an interest in clinical research. As there are close links with laboratory studies on clinical samples there are also opportunities for interested, and appropriately experienced, individuals to combine clinical data collection with laboratory research. 

 

Students are encouraged to attend the MRC Weatherall Institute of Molecular Medicine DPhil Course, which takes place in the autumn of their first year. Running over several days, this course helps students to develop basic research and presentation skills, as well as introducing them to a wide range of scientific techniques and principles, ensuring that students have the opportunity to build a broad-based understanding of differing research methodologies.

Generic skills training is offered through the Medical Sciences Division's Skills Training Programme. This programme offers a comprehensive range of courses covering many important areas of researcher development: knowledge and intellectual abilities, personal effectiveness, research governance and organisation, and engagement, influence, and impact. Students are actively encouraged to take advantage of the training opportunities available to them.

As well as the specific training detailed above, students will have access to a wide range of seminars and training opportunities through the many research institutes and centres based in Oxford.

The Department has a successful mentoring scheme, open to graduate students, which provides an additional possible channel for personal and professional development outside the regular supervisory framework. We hold an Athena SWAN Silver Award in recognition of our efforts to build a happy and rewarding environment where all staff and students are supported to achieve their full potential.

Additional Supervisors 

1

Adam Lewandowski

2

Winok Lapidaire

3

Turkay Kart

Publications

1

Kitt J, Fox R, Frost A, Shanyinde M, Tucker K, Bateman PA, Suriano K, Kenworthy Y, McCourt A, Woodward W, Lapidaire W, Lacharie M, Santos M, Roman C, Mackillop L, Delles C, Thilaganathan B, Chappell LC, Lewandowski AJ, McManus RJ, Leeson P. Long-Term Blood Pressure Control After Hypertensive Pregnancy Following Physician-Optimized Self-Management: The POP-HT Randomized Clinical Trial. JAMA. 2023;330:1991-1999.

2

Williamson W, Lewandowski AJ, Huckstep OJ, Lapidaire W, Ooms A, Tan C, Mohamed A, Alsharqi M, Bertagnolli M, Woodward W, Dockerill C, McCourt A, Kenworthy Y, Burchert H, Doherty A, Newton J, Hanssen H, Cruickshank JK, McManus R, Holmes J, Ji C, Love S, Frangou E, Everett C, Hillsdon M, Dawes H, Foster C and Leeson P. Effect of moderate to high intensity aerobic exercise on blood pressure in young adults: The TEPHRA open, two-arm, parallel superiority randomized clinical trial. Lancet EClinicalMedicine. 2022;48:101445 

3

Upton R, Mumith A, Beqiri A, Parker A, Hawkes W, Gao S, Porumb M, Sarwar R, Marques P, Markham D, Kenworthy J, O'Driscoll JM, Hassanali N, Groves K, Dockerill C, Woodward W, Alsharqi M, McCourt A, Wilkes EH, Heitner SB, Yadava M, Stojanovski D, Lamata P, Woodward G and Leeson P. Automated Echocardiographic Detection of Severe Coronary Artery Disease Using Artificial Intelligence. JACC Cardiovasc Imaging. 2022;15:715-727

4

 

Dey D, Slomka PJ, Leeson P, Comaniciu D, Shrestha S, Sengupta PP, Marwick TH. Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review. J Am Coll Cardiol. 2019 Mar 26;73(11):1317-133

5

Williamson W, Lewandowski AJ, Forkert ND, Griffanti L, Okell TW, Betts J, Boardman H, Siepmann T, McKean D, Huckstep O, Francis JM, Neubauer S, Phellan R, Jenkinson M, Doherty A, Dawes H, Frangou E, Malamateniou C, Foster C, Leeson P. Association of cardiovascular risk factors with MRI indices of cerebrovascular structure and function and white matter hyperintensities in young adults. JAMA 2018;320(7):665-673