New AI tool detects deadly heart condition before people even have symptoms
28 December 2024, 11:22
A groundbreaking new AI tool could help thousands of people who aren’t aware they are living with atrial fibrillation, a heart condition which could lead to deadly strokes, by detecting it before symptoms arise.
Listen to this article
Loading audio...
A new artificial intelligence tool is finding people with a heart condition before they even have symptoms.
Atrial fibrillation (AF) is a heart condition that causes an irregular and often abnormally fast heart rate, and people with it have a significantly higher risk of having a stroke.
Around 1.6 million people across the UK have been diagnosed with AF.
But leading heart charity the British Heart Foundation (BHF) said there are likely many thousands of undiagnosed people in the UK who don’t even know they're living with the condition.
For some, AF can lead to heart palpitations, dizziness, shortness of breath and tiredness. But others have no symptoms of the condition and the affected person is completely unaware that their heart rate is irregular.
When AF is identified and treated early it can be managed and the stroke risk reduced.
This is where the new ground-breaking tool tries to help, by scouring GP records to look for "red flags" which could indicate whether a patient is at risk of developing the condition.
One former Army captain who took part in the trial said he is "really grateful" that his AF was detected.
John Pengelly, a retired grandfather, was diagnosed with AF earlier this year after taking part in the Find-AF trial, and now just takes a "couple of pills a day" to reduce his heightened risk of a deadly stroke.
"I got a letter inviting me to take part in the study and I thought if it benefits somebody then great, I want to help," he said.
Read more: Workplace health checks to be introduced in England to help spot deadly diseases early
After the algorithm identified that Mr Pengelly was at a higher risk, he was sent an at-home ECG.
"They sent me a little digital monitor and a few times a day I had to put my thumbs on it so it could take a reading, which took about two minutes.
"Then I pressed send and the reading went to the trial team. I did that for a few weeks, and I sent the kit back - it was really straightforward.
"I was diagnosed with AF a few weeks after that. I'd heard of it, but you never think that these things will happen to you.”
The 74-year-old, from Apperley Bridge, Bradford in West Yorkshire, spent 29 years in the Army Catering Corps before he retired.
"I didn't have any symptoms. I'd occasionally get a bit breathless when I'm out and about, but that's because there are so many hills around us and some of them are really steep.
"I'm really grateful it has been picked up. I now take a couple of pills every day to reduce my risk of having a stroke.
"It's just a few pills every day that will hopefully keep me going for a good few more years yet."
The algorithm was developed by scientists and clinicians at the University of Leeds and Leeds Teaching Hospitals NHS Trust, with funding from the BHF.
They created the tool using anonymised electronic health records of over 2.1 million people, training the algorithm to find warning signs that could indicate a person is at risk of developing AF.
The tool was validated with medical records from a further 10 million people.
Experts are assessing how effective it is at finding people who are at risk of developing AF in the next six months, with those identified then offered further testing.
It works out someone's risk based on a number of factors including age, sex, ethnicity and whether or not they have other medical conditions including heart failure, high blood pressure, diabetes, ischaemic heart disease and chronic obstructive pulmonary disease.
If people involved in the study are identified as high risk they will be offered a handheld electrocardiography (ECG) machine to measure their heart rhythm.
If the ECG machine readings indicate that a patient has AF, their GP is informed and they can discuss treatment options.
Experts hope that the preliminary West Yorkshire study will pave the way for a UK-wide trial, which would hopefully prevent a number of avoidable strokes.
Estimates suggest that AF is a contributing factor in around 20,000 strokes every year in the UK.
Chris Gale, professor of cardiovascular medicine at the University of Leeds and honorary consultant cardiologist at Leeds Teaching Hospitals NHS Trust, said: "All too often the first sign that someone is living with undiagnosed atrial fibrillation is a stroke.
"This can be devastating for patients and their families, changing their lives in an instant.
"It also has major cost implications for health and social care services - costs which could have been avoided if the condition were spotted and treated earlier."
Dr Sonya Babu-Narayan, associate medical director at the British Heart Foundation and consultant cardiologist at Royal Brompton Hospital, said: "We have effective treatments for people with atrial fibrillation who are at high risk of having a stroke.
"But right now some people are missing out because they don't know that they may be living with this hidden threat to their health.
"By harnessing the power of routinely collected health care data and prediction algorithms, this research offers a real opportunity to identify more people who are at risk of atrial fibrillation and who may benefit from treatment to reduce their risk of a devastating stroke."
It comes as NHS officials said that the service has hit a milestone in stroke prevention.
Five years ago, the NHS in England set the ambition to increase the number of patients with AF on medication which prevents blood clots from 84% to 90% within 10 years.
NHS England said the latest figures show that 92% of people who have been diagnosed with AF have been prescribed the potentially lifesaving treatment.
As a result, it estimates that thousands of strokes have been prevented in the last five years.
