The researchers say that suggests grief could be a risk factor for cardiac events.
The study, published in the journal Psychosomatic Medicine, demonstrates an association between grief severity and elevated systolic blood pressure response.
The idea of “dying of a broken heart,” which can happen following the loss of a loved one, was the motivation for the research, says senior author Mary-Frances O’Connor, an associate professor of psychology at the University of Arizona who specializes in grief.
Increased risk of mortality after the death of a loved one has long been documented in epidemiological studies. For the new study, which included 59 participants that had lost a close loved one in the past year, O’Connor and colleagues looked at blood pressure as a possible contributing factor.
Today is the anniversary of my dad’s death and like I do every year, in his honor, I want to encourage each and every one of you to read the symptoms of heart attacks. It’s not just what you see in movies; that’s the symptoms most commonly seen for cis men!
General heart attack signs
Heart attack signs “in women” (terminology from the website, this can be for anyone who is not a cis man)
Mount Sinai researchers have revealed a groundbreaking artificial intelligence (AI) model for electrocardiogram (ECG) analysis. This pioneering approach allows ECGs to be interpreted as language, leading to improved accuracy and effectiveness in diagnosing cardiac conditions, especially in situations with limited training data. The researchers introduced their deep learning model, HeartBEiT, which not only outperformed traditional ECG analysis methods but also served as a platform for creating specific diagnostic models. The findings of this study, published in npj Digital Medicine, highlight the potential of HeartBEiT in revolutionizing ECG analysis and enhancing diagnostic capabilities in the field of cardiology.
The assessment of heart health often relies on the utilization of the electrocardiogram (ECG), a diagnostic technique that has widespread usage. However, accurately interpreting ECG patterns can be challenging, especially for complex conditions or subtle abnormalities. ECG analysis has been positively impacted by the successful integration of deep learning techniques, yet it does not always yield optimal results for biomedical problems. This article explores a new approach using a vision-based transformer model called HeartBEiT, which leverages masked image modeling for ECG waveform analysis.
In various healthcare settings, ECG, a non-invasive and cost-effective diagnostic tool, is used for analyzing heart conditions. However, accurately identifying disease patterns in ECGs can be challenging, particularly for conditions without established diagnostic criteria or when patterns are subtle or chaotic. Deep learning, specifically convolutional neural networks (CNNs), has shown promise in addressing this challenge by automating ECG analysis. However, CNNs require large amounts of data to prevent overfitting, and they are typically trained on natural images.
You can also choose to donate your pacemaker to animals in need -- but you need to put that in your advanced care directive and make sure people know your wishes. 💙🥄
Barbershops And Blood Pressure: Celebrating The Legacy Of Dr. Elijah Saunders
African American cardiologist Dr. Elijah Saunders pioneering research discovered the link between high blood pressure and heart disease. He is also leveraged the trusted space of barbershops salons to serve as ambassadors for heart health. #BlackHistory
The B.C. Centre for Disease Control is again warning British Columbians of the negative health impacts of wildfire smoke, in the wake of new external research that suggests air pollution can immediately increase risk of several heart problems.
For every 10 micrograms more of PM2.5 — the primary particle in B.C.'s wildfire smoke — in one metre cubed of air, a person's combined odds of experiencing at least one of four heart issues was 5.5 per cent greater, a study published Monday in the Canadian Medical Association Journal (CMAJ) found.
The four types of arrhythmia studied are all significant risk factors for heart attacks and heart disease, the study notes, supporting decades of evidence that shows higher rates of cancer, chronic disease and premature death in communities that live with poor air quality.
The findings highlight the urgency of limiting even short-term exposures to wildfire smoke amid smoke-related rises in heart attacks and respiratory issues researchers and health care workers are already observing in B.C., said one BCCDC expert.
Laughter: The Best Medicine You're Not Taking (Enough Of)
We all know the feeling: a belly laugh that leaves you breathless and your cheeks hurting. But beyond the immediate joy, laughter offers a surprising amount of benefits for our mental and physical well-being.
Here’s why you should prescribe yourself a daily dose of humor:
Stress Slayer: Feeling overwhelmed? Laughter can be a powerful antidote. By lowering stress hormones like cortisol, a good…
I think the idea of a part of your heart being ossified is, frankly, a little raw. You mean to tell us there's bone in the blood pump? That simply sounds cool.