MIRACLE2 -improved care for out of hospital cardiac arrest
Diagnostic
A cardiac arrest is when the heart suddenly stops pumping blood around the body and is a medical emergency.
When this occurs outside of a hospital, the chance of survival is only 10%. This project will validate the use of “MIRACLE2” by paramedics – this is a test that measures the chance of an out of hospital cardiac arrest (OOHCA) patient having suffered brain damage.
If successful, the test will help to personalise the care of OOHCA patients and ensure that we make the best clinical decisions along the patient care pathway from the 999 call to the patient’s arrival at hospital.
The development of a new AI-supported model for imaging the heart based on data from over 700 people with atrial fibrillation, allow ablation to be more personalised to individual patients.
Bringing together patients and medical professionals to establish a partnership aimed at identifying areas of priority in adult cardiac surgery, to better inform clinicians and make heart surgery safer for patients.
Developing an AI-assisted computer programme to identify whether a conduction system pacing (CSP) procedure has been successful, which will allow more patients to benefit from this innovative pacemaker technology.
Developing a new test to measure the levels of desmosine in the body, which are higher when there is damage to the aorta, to diagnose aortic dissection more quickly.
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