New marker could help to identify heart attack patients most at risk

University of Sheffield's picture
Printer-friendly versionPrinter-friendly version
  • Pioneering study could lead to more effective treatments for cardiovascular disease
  • Researchers analysed blood samples from more than 4,300 patients with acute coronary syndrome as they were discharged from hospital

A new study from the University of Sheffield has shown a new blood test could provide a clue as to why some patients are at higher risk of cardiovascular disease risk after suffering a heart attack.

The research may help scientists to identify new targets for reducing the risk and eventually lead to more effective treatments.

During the study, the team of researchers, led by Professor Rob Storey from the University of Sheffield’s Department of Infection, Immunity and Cardiovascular Disease, analysed blood plasma samples from more than 4,300 patients with acute coronary syndrome as they were discharged from hospital.

They measured the maximum density of a clot and the time it took for the clot to break down – known as clot lysis time.

After adjustment for known clinical characteristics and risk factors, the study found that the patients with the longest clot lysis time had a 40 per cent increased risk of recurrent myocardial infarction or death due to cardiovascular disease.

Professor Storey, who is also Academic Director and an Honorary Consultant in the Cardiology and Cardiothoracic Surgery Directorate at the Sheffield Teaching Hospitals NHS Foundation Trust, said: “We have made huge strides over the last two decades in improving prognosis following heart attacks but there is still plenty of room for further improvement.

Our findings provide exciting clues as to why some patients are at higher risk after heart attack and how we might address this with new treatments in the future.

The results, published in the European Heart Journal, showed novel therapies targeting fibrin clot lysis time may improve prognosis in patients with acute coronary syndrome.

Professor Storey added: “We now need to press ahead with exploring possibilities for tailoring treatment to an individual’s risk following a heart attack and testing whether drugs that improve clot lysis time can reduce this risk.”

The Department of Infection, Immunity and Cardiovascular Disease at the University of Sheffield is a world-leading centre for pioneering discoveries which help to fight disease and inform inspiring teaching.

Department of Infection, Immunity and Cardiovascular Disease

Additional information

The University of Sheffield

With almost 29,000 of the brightest students from over 140 countries, learning alongside over 1,200 of the best academics from across the globe, the University of Sheffield is one of the world’s leading universities.

A member of the UK’s prestigious Russell Group of leading research-led institutions, Sheffield offers world-class teaching and research excellence across a wide range of disciplines.

Unified by the power of discovery and understanding, staff and students at the university are committed to finding new ways to transform the world we live in.

Sheffield is the only university to feature in The Sunday Times 100 Best Not-For-Profit Organisations to Work For 2017 and was voted number one university in the UK for Student Satisfaction by Times Higher Education in 2014. In the last decade it has won four Queen’s Anniversary Prizes in recognition of the outstanding contribution to the United Kingdom’s intellectual, economic, cultural and social life.

Sheffield has six Nobel Prize winners among former staff and students and its alumni go on to hold positions of great responsibility and influence all over the world, making significant contributions in their chosen fields.

Global research partners and clients include Boeing, Rolls-Royce, Unilever, AstraZeneca, Glaxo SmithKline, Siemens and Airbus, as well as many UK and overseas government agencies and charitable foundations.

Copy this html code to your website/blog to embed this press release.

Comments

Post new comment

15 + 3 =

To prevent automated spam submissions leave this field empty.