This means that the over 100,000 patients that suffer from a heart attack each year in the UK could be now better stratified into high or minimal risk to be accordingly treated and followed up. This prevents secondary outcomes such as reinfarction or death, while avoiding unnecessary procedures like invasive surgery.
Lead researcher Jorge Corral Acero, Institute of Biomedical Engineering, University of Oxford
27 January 2022
3D pattern linked to infarct risks identified by researchers
With their findings, patients will know the risks of suffering a major cardiovascular event such as reinfarction just two days after an infarct
Researchers from the School of Biomedical Engineering & Imaging Sciences and Oxford University have identified the specific 3D pattern that is linked to the risks after an infarct, when tissue dies due to inadequate blood supply to an affected area, damaging the heart muscle. The results of this study, published in JACC Cardiovascular Medicine, were demonstrated in a large clinical cohort of more than 1000 subjects, and the tool can extract the 3D patterns that predict risk in a fully automatic way.
With their findings, patients will know the risks of suffering a major cardiovascular event such as reinfarction just two days after an infarct.
In addition, thanks to a conventional MRI scan and the researcher’s advanced analysis tool that unveils the risk of suffering a major cardiovascular event, the patient will have the possibility to take the right medical therapy and lifestyle choices to address their risks with their clinicians.
There are many ways our heart can contract to push the blood towards every corner of our body, but there is a specific impairment that is especially bad for your future health after an infarct.
Lead researcher Jorge Corral Acero, Institute of Biomedical Engineering at the University of Oxford, said the study sheds light on how our heart responds after an infarct episode and builds understanding on heart function towards a more preventative medicine.
In addition, the tool that we have built automates the analysis of key metrics of the heart, removing inconsistencies and saving time for clinicians that can be reinvested in patient care.
When someone suffers an infarct, there is an increased risk that the injury caused by the infarct will strike back in the future. Knowing and predicting those risks is the gap we have addressed with this research. Luckily, today's healthcare practices achieve a large number of survivors of an infarct.
Heart researcher Professor Pablo Lamata research lead at King's
King’s has been the coordinator of this study, engaging with cardiologists that were trained at King’s and now practice in Germany, securing the funding and recruiting the PhD student that led this work, and building the synergies across institutions to deliver this collaborative work framed in the EU ITN Personalised In-Silico Cardiology.
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