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Contact the study team using the details below to take part. If there are no contact details below please ask your doctor in the first instance.
Peter
Watkinson
ccrg.research@ndcn.ox.ac.uk
Dr
Peter
Watkinson
Peter.Watkinson@ndcn.ox.ac.uk
Ms
Rachel
Henning
Rachel.henning@ndcn.ox.ac.uk
More information about this study, what is involved and how to take part can be found on the study website.
Other forms of heart disease
This information is provided directly by researchers, and we recognise that it isn't always easy to understand. We are working with researchers to improve the accessibility of this information. In some summaries, you may come across links to external websites. These websites will have more information to help you better understand the study.
Atrial Fibrillation (AF) is a common heart problem causing an irregular heartbeat that occurs in many individuals. It may make the heart beat more rapidly and reduce the heart’s ability to pump blood to the body. It allows blood clots to form in the heart, which can cause strokes if they are pumped to the brain. Avoiding AF is important.
People who develop AF whilst in hospital seem to stay longer in the Intensive Care Unit after surgery, are more likely to develop complications and have a higher risk of dying.
About 30-50% of people having heart surgery develop AF shortly after the operation. Different preventative treatments such as beta blockers and amiodarone reduce the likelihood of developing AF, along with an individual’s lifestyle including what they eat and how active they are.
Preventative treatments carry risks, so it is important to identify people most likely to benefit from them (i.e. the benefits are bigger than the risks). Currently there are no good tools (mathematical models) to predict who will get AF after heart surgery. Previous tools are not used in clinical practice, partly because there are weaknesses in how they were developed. For example, some do not include modern data like ultrasound pictures of the heart that are now routine before surgery. A modern reliable prediction model is needed.
We will develop two reliable prediction models to identify which patients are at greatest risk of developing Atrial Fibrillation (AF) following heart surgery. One will predict the risk at assessment prior to surgery, and the second will predict who may develop AF after surgery. Two models are needed as changes during surgery may alter the risk of AF.
Start dates may differ between countries and research sites. The research team are responsible for keeping the information up-to-date.
The recruitment start and end dates are as follows:
Observational type: Cohort study;
You can take part if:
You may not be able to take part if:
Patients who have requested that their data not be used for research (e.g. NHS Opt-out)
Below are the locations for where you can take part in the trial. Please note that not all sites may be open.
Dr
Peter
Watkinson
Peter.Watkinson@ndcn.ox.ac.uk
Peter
Watkinson
ccrg.research@ndcn.ox.ac.uk
Ms
Rachel
Henning
Rachel.henning@ndcn.ox.ac.uk
More information about this study, what is involved and how to take part can be found on the study website.
The study is sponsored by University of Oxford and funded by NIHR Evaluation, Trials and Studies Co-ordinating Centre (NETSCC) .
Your feedback is important to us. It will help us improve the quality of the study information on this site. Please answer both questions.
Read full details
for Trial ID: CPMS 49862
You can print or share the study information with your GP/healthcare provider or contact the research team directly.
