MAPP-AF Study
Research type
Research Study
Full title
Multi-omics Assessment for Prediction of Postoperative Atrial Fibrillation (MAPP-AF Study)
IRAS ID
304503
Contact name
Daniel Fudulu
Contact email
Sponsor organisation
University of Bristol
Duration of Study in the UK
0 years, 6 months, 30 days
Research summary
New onset of postoperative atrial fibrillation (PAF) occurs for about 20-50% of cases after cardiac surgery and results in an average increase in hospital stay of 5 days. There is quite a lot known about how to prevent and treat PAF but very little is known about predicting who might develop PAF. There are clinical prediction tools which take risk factors such as age, diabetes and vascular disease into account (e.g. CHARGE-AF and CHA2DS2-VASc). Improvement of the existing prediction tools for PAF could allow patients at high risk of PAF to be identified ahead of their surgery and receive appropriate care to reduce their risk of PAF and related complications.
This study aims to develop PAF prediction models by identifying biomarkers and clinical risk factors that can help to predict PAF. The study will use data collected for the OMACS study from cardiac surgery patients and the related metabolomic data produced by the AKI study through the analysis of those patients pre- and post-operative blood and urine samples.
This study will act as a pilot study to inform a future grant to further refine the prediction models.
REC name
London - Hampstead Research Ethics Committee
REC reference
22/LO/0333
Date of REC Opinion
25 Apr 2022
REC opinion
Favourable Opinion