Thursday April 2, 2020

Here’s Why Stroke Patients Are More Likely To Suffer Heart Attack

This leads us to believe that there are underlying mechanisms linked to stroke that may be causing heart disease

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Stroke
The research, published in the journal Stroke, demonstrated for the first time that in people with no underlying heart disease, after a stroke they were more than 20 times more likely than those who didn't have a stroke (23-fold in women and 25-fold in men) to have a first-in-life major adverse cardiovascular event. Pixabay

Both women and men are significantly more likely to have a heart attack or another major cardiovascular event within thirty days of having a stroke, according to a new study.

The research, published in the journal Stroke, demonstrated for the first time that in people with no underlying heart disease, after a stroke they were more than 20 times more likely than those who didn’t have a stroke (23-fold in women and 25-fold in men) to have a first-in-life major adverse cardiovascular event.

These events include things like heart attack, chest pain, cardiac failure or cardiac death.

This risk dropped after 30 days, but even one year after a stroke, men and women both still had twice the risk of a major cardiac event than those who didn’t have a stroke, according to the study.

“This shows that after taking risk factors into consideration, having experienced a recent stroke was independently associated with the incidence of major adverse cardiac events,” said study researcher Luciano Sposato, Associate Professor at Western University in Canada.

“This leads us to believe that there are underlying mechanisms linked to stroke that may be causing heart disease,” Sposato added.

For the findings, the research team examined ICES data for more than 90,000 adults over the age of 65 in Ontario with no pre-existing clinical diagnosis of heart disease.

The researchers examined the incidence of cardiac events in two groups – a group of just over 20,000 that had a stroke and a group of approximately 70,000 individuals without stroke but with similar vascular risk factors, comorbidities and demographic characteristics.

Heart Stroke
Both women and men are significantly more likely to have a heart attack or another major cardiovascular event within thirty days of having a stroke, according to a new study. Pixabay

In a paper published earlier in 2019, Sposato and collaborators used animal models to back up this finding by demonstrating that the brain damage caused by stroke leads to inflammation and scarring in the left atrium of the heart.

These changes are well-known structural abnormalities for a number of heart diseases such as heart attacks, heart failure and cardiac arrhythmias.

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The researchers hope this information will inform clinical practice and encourage health care providers to watch for cardiovascular symptoms in patients who recently had strokes. (IANS)

Next Story

Can AI Predict Diabetes Accurately? Find it Out Here

AI to predict future diabetes cases with 94% accuracy

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AI diabetes
Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes. Pixabay

Researchers have revealed that with the help of artificial intelligence (AI) their trained computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Diabetes is linked to increased risks of severe health problems, including heart disease and cancer. Preventing diabetes is essential to reduce the risk of illness and death.

“Currently, we do not have sufficient methods for predicting which generally healthy individuals will develop diabetes,” said study lead author Akihiro Nomura from Kanazawa University in Japan. “Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores,” Nomura added.

For the findings, published in the Journal of the Endocrine Society, the researchers investigated the use of a type of artificial intelligence called machine learning in diagnosing diabetes.

AI diabetes
Artificial intelligence (AI) is the development of computer systems able to perform tasks that normally require human intelligence. Pixabay

Machine learning is a type of AI that enables computers to learn without being explicitly programmed. The research team analysed 509,153 nationwide annual health checkup records from 139,225 participants from 2008 to 2018 in the city of Kanazawa in Japan.

Among them, 65,505 participants without diabetes were included. The data included physical exams, blood and urine tests and participant questionnaires.

Patients without diabetes at the beginning of the study who underwent more than two annual health checkups during this period were included.

New cases of diabetes were recorded during patients’ checkups, the researchers said.

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The researchers identified a total of 4,696 new diabetes patients (7.2 per cent) in the study period. Their computer model predicted the future incidence of diabetes with an overall accuracy of 94.9 per cent.

According to the authors, the next plan is to perform clinical trials to assess the effectiveness of using statins to treat groups of patients identified by the machine learning model as being at high risk of developing diabetes. (IANS)