Tuesday January 21, 2020

Patients Going Through Gender-Transition Treatment At A Grater Risk Of Cardiac Diseases

Researchers determined and compared the incidence of CVD cases in the transgender population with that reported in the general population. 

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On the other hand, transmen -- those assigned female sex at birth but had male gender identity and received hormones -- had a more than three-fold rise in heart-attack risk compared with women, said the study, published in the journal, Circulation. Pixabay

Patients receiving hormone therapy as part of their gender-transition treatment have an elevated risk of cardiovascular diseases (CVD), including heart attacks, strokes and blood clotting, researchers say.

Researchers determined and compared the incidence of CVD cases in the transgender population with that reported in the general population.

The study showed that transwomen — individuals, assigned male sex at birth but with female gender identity, receiving hormones as part of their transition — had more than twice as many strokes as women and nearly twice as many strokes as men.

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Heart attacks occurred at more than twice the rate among transwomen than women. Pixabay

In addition, there were five times as many blood clotting among transwomen than women and 4.5 times more than men.

Heart attacks occurred at more than twice the rate among transwomen than women.

On the other hand, transmen — those assigned female sex at birth but had male gender identity and received hormones — had a more than three-fold rise in heart-attack risk compared with women, said the study, published in the journal, Circulation.

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In addition, there were five times as many blood clotting among transwomen than women and 4.5 times more than men. 
Pixabay

“In the light of our results, we urge both physicians and transgender individuals to be aware of this increased cardiovascular risk,” said Nienke Nota, researcher at the Amsterdam University Medical Center in the Netherlands.

Also Read: Push-ups Can Lower The Risk of Heart Diseases

“It may be helpful to reduce the risk factors by stopping smoking, exercising, eating a healthy diet and losing weight, if needed before starting therapy, and clinicians should continue to evaluate patients on an ongoing basis thereafter,” suggested Nota.

For the study, the researchers included 3,875 individuals who had received hormone treatment — 2,517 transgender women received estrogen, with or without androgen-suppressors, and 1,358 transgender men received testosterone — as part of their transition. (IANS)

 

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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.

Also Read- Find out Why Pregnant Women Shouldn’t Binge-Eat After 7 PM

“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)