Tuesday January 28, 2020

Heart Strokes No More Disease of Just Elders, Now As Likely Among Young Adults

While the traditional risk factors include diabetes, high blood pressure, smoking, family history of premature heart attack and high cholesterol, substance abuse, including marijuana and cocaine were more the reason behind the increased heart attacks in younger patients.

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The study compared people aged 41-50 years and 40 or younger heart attack survivors and found that among patients who suffer a heart attack at a young age overall is 40 or younger. VOA

A heart attack, known earlier as a disease of the old, is now strikingly common in people aged 40 and below, finds a study.

The study compared people aged 41-50 years and 40 or younger heart attack survivors and found that among patients who suffer a heart attack at a young age overall is 40 or younger.

In addition, the proportion of people below 40 having a heart attack has been increasing, rising by 2 per cent each year for the last 10 years.

“It used to be incredibly rare to see anyone under age 40 come in with a heart attack and some of these people are now in their 20s and early 30s,” said Ron Blankstein, Associate Professor at Harvard University.

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Good habits like avoiding tobacco, regular exercise, heart healthy diet, weight loss if required, managing blood pressure and cholesterol, controlling diabetes if required, and staying away from substance abuse need to be maintained for a good heart. pixabay

Importantly, youngest heart attack survivors have the same likelihood of dying from another heart attack or stroke as survivors over 10 years older.

While the traditional risk factors include diabetes, high blood pressure, smoking, family history of premature heart attack and high cholesterol, substance abuse, including marijuana and cocaine were more the reason behind the increased heart attacks in younger patients.

The findings will be presented at the American College of Cardiology’s 68th Annual Scientific Session in New Orleans.

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While the traditional risk factors include diabetes, high blood pressure, smoking, family history of premature heart attack and high cholesterol, substance abuse, including marijuana and cocaine were more the reason behind the increased heart attacks in younger patients. Pixabay

For the study, the researchers included a total of 2,097 young patients.

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They found that the group below 40 had more spontaneous coronary artery dissection — a tear in the vessel wall, which tends to be more common in women, especially during pregnancy.

Good habits like avoiding tobacco, regular exercise, heart healthy diet, weight loss if required, managing blood pressure and cholesterol, controlling diabetes if required, and staying away from substance abuse need to be maintained for a good heart, Blankstein suggested. (IANS)

Next Story

This AI Model may Predict Heart Diseases

AI may predict long-term risks of heart attack, cardiac death

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Researchers have found that Artificial Intelligence can be used to predict heart attacks and cardiac deaths. Pixabay

Researchers have found that machine learning, patterns and inferences computers use to learn to perform tasks, can predict the long-term risk of heart attack and cardiac death.

According to the study, published in the journal Cardiovascular Research, machine learning appears to be better at predicting heart attacks and cardiac deaths than the standard clinical risk assessment used by cardiologists.

“Our study showed that machine learning integration of clinical risk factors and imaging measures can accurately personalise the patient’s risk of suffering an adverse event such as heart attack or cardiac death,” said the study researchers from the Biomedical Imaging Research Institute in US

For the findings, the research team studied subjects from the imaging arm of a prospective, randomised research trial, who underwent coronary artery calcium scoring with available cardiac CT scans and long-term follow-up.

Participants here were asymptomatic, middle-aged subjects, with cardiovascular risk factors, but no known coronary artery disease.

Researchers used machine learning to assess the risk of myocardial infarction and cardiac death in the subjects, and then compared the predictions with the actual experiences of the subjects over fifteen years.

Heart Health
Diet, exercise and marital status are some of the factors that can affect the heart health. Pixabay

Subjects here answered a questionnaire to identify cardiovascular risk factors and to describe their diets, exercise and marital status. The final study consisted of 1,912 subjects, fifteen years after they were first studied.

76 subjects presented an event of myocardial infarction and/or cardiac death during this follow-up time. The subjects’ predicted machine learning scores aligned accurately with the actual distribution of observed events.

The atherosclerotic cardiovascular disease risk score, the standard clinical risk assessment used by cardiologists, overestimated the risk of events in the higher risk categories. Machine learning did not.

In unadjusted analysis, high predicted machine learning risk was significantly associated with a higher risk of a cardiac event.

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“While machine learning models are sometimes regarded as “black boxes”, we have also tried to demystify machine learning; in this manuscript, we describe individual predictions for two patients as examples,” said researchers

“When applied after the scan, such individualised predictions can help guide recommendations for the patient, to decrease their risk of suffering an adverse cardiac event,” they added. (IANS)