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Gus Iversen, Editor in Chief | August 13, 2024
A new study out of the UK suggests MR could replace invasive procedures for predicting heart failure risk.
Groundbreaking research by the University of East Anglia (UEA) and Queen Mary University of London analyzed data from over 39,000 participants in the U.K. Biobank and found that individuals with elevated heart pressure estimated via MR were five times more likely to develop heart failure.
The research team utilized AI techniques to analyze heart MR data and estimate the pressure inside the heart, assessing the likelihood of participants developing heart failure over a six-year follow-up period. This study builds on prior research linking MR-derived pressure measurements with heart failure symptoms but expands the findings to a broader population.
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The findings marks a significant advancement in noninvasive diagnostic techniques, potentially offering a safer alternative to traditional methods.
"One of the most significant findings of this study is that MR-derived pressure measurements can reliably predict if an individual will develop heart failure," said Dr. Pankaj Garg, co-lead author from UEA's Norwich Medical School. "“This breakthrough suggests that heart MR could potentially replace invasive diagnostic tests. Participants with higher heart pressure measured by MR had a fivefold increased risk of developing heart failure over six years.”
The study also identified key risk factors associated with increased heart pressure, including age over 70, high blood pressure, obesity, alcohol consumption, and being male. According to Dr. Nay Aung, co-lead author from Queen Mary University of London’s William Harvey Research Institute, these factors were used to develop a model for predicting individual heart failure risk, which could pave the way for earlier detection and treatment.
The study was published in
European Society of Cardiology Heart Failure. The work was supported by the National Institute for Health and Care Research (NIHR) and the Wellcome Trust, with contributions from several institutions, including St Bartholomew’s Hospital, Norfolk and Norwich University Hospitals, and the Alan Turing Institute.
