A recent scientific study has brought to light an innovative algorithm capable of ruling out the occurrence of a heart attack in a significantly higher proportion of patients when compared to conventional testing methods. According to the results, this advanced tool achieved an impressive accuracy of 99.6%.
Researchers at the renowned University of Edinburgh say the ability to quickly rule out a heart attack could have a significant impact on the reduction of hospitalizations, in addition to allowing the agile identification of patients who are safe to return to the home.
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Currently, the gold standard for diagnosing a heart attack is measuring levels of the protein troponin in the blood.
However, the University of Edinburgh team has developed an innovative method that uses artificial intelligence (AI) to analyze other clinical indicators and exams, which makes it possible to quickly and accurately rule out the occurrence of an attack cardiac.
Experts develop algorithm to identify heart attack quickly
However, the current method of diagnosing heart attacks based on troponin levels is not considers individual factors such as age, gender, and other health conditions that may affect these levels.
This can lead to inaccurate diagnoses and affect the effectiveness of treatment.
The research team developed the CoDE-ACS algorithm based on data from 10,038 Scottish patients who sought hospital care with a suspected heart attack.
This algorithm uses routinely collected information such as age, gender, ECG results, medical history and troponin levels, to calculate the likelihood that a patient has had an attack cardiac.
Professor Nicholas Mills, leader of the research, emphasized the importance of diagnosis and treatment early warnings for patients with acute chest pain due to a heart attack, noting that this can Save lifes.
However, he pointed out that the diagnosis is not always straightforward, as several conditions can cause similar symptoms.
According to the data, in the UK there are approximately 100,000 hospital admissions per year due to heart attacks, which is equivalent to one admission every five minutes.
Clinical trials are being carried out in Scotland so that experts can evaluate the artificial intelligence tool. the scientific journal Natura Medicine shared the information.
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