Metabolomics & clinical predictive models for AKI & PAF
Research type
Research Study
Full title
Metabolomics and Clinical Based Predictive Models for Acute Kidney Injury and Postoperative Atrial Fibrillation After Cardiac Surgery
IRAS ID
307762
Contact name
Daniel Fudulu
Contact email
Sponsor organisation
University of Bristol
Duration of Study in the UK
1 years, 2 months, 2 days
Research summary
Acute kidney injury (AKI) remains a significant health issue in the UK, with an estimated cost to the NHS between £434 million and £620 million per year, and approximately 100,000 deaths each year. Cardiac surgery is associated with the highest risk of postoperative AKI compared to other surgical specialities, with an incidence ranging from 20 to 60%. In addition, new onset of atrial fibrillation (AF) in the immediate postoperative period (PAF) occurs in about 20-50% of cases after cardiac surgery and results in an average increase in hospital stay by five days. Cardiac surgery is the most common precipitant of atrial fibrillation compared to infection or non-cardiac surgery.
Current prediction models of both post-operative AKI and AF rely on clinical variables and show suboptimal performance. Improvement of the existing prediction tools could allow patients at high risk of AKI and AF to be identified early so that they can receive appropriate care to reduce their risk of complications. This study aims to develop AKI and AF prediction models using clinical data combined with metabolomic biomarkers from pre- and post-operative blood and urine samples.
A pilot study has been carried out to start the development of an AKI prediction model and suggested that combining clinical data and metabolomics can improve the accuracy of AKI prediction. This study will build on this pilot work using additional OMACS samples and data to further develop the AKI prediction model created with the pilot data and we will undertake a similar approach for prediction of the AF outcome.
This study will use additional data and samples already collected for the OMACS study from cardiac surgery patients.
REC name
London - Bromley Research Ethics Committee
REC reference
21/PR/1785
Date of REC Opinion
6 Jan 2022
REC opinion
Favourable Opinion