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Half the world’s population suffers from headaches, and women Black Health TV are more likely to be affected than men, a new study shows.\
“We found that the prevalence of headache disorders remains high worldwide, and the burden of different types of headaches can affect many people.
We should strive to reduce this burden through prevention and better treatment,” said the study’s lead author, Lars Jacob Stogner of the Norwegian University of Science and Technology.
The researchers examined 357 studies published between 1961 and the end of 2020. They found that 52% of people have headaches in a year, including 14% with migraines, 26% with tension-type headaches, and about 5% with headaches 15 or more days a month.
On any given day, nearly 16% of people worldwide have a headache, and nearly half (7%) suffer from migraines, the findings show. The findings were published April 12 in the Journal of Headache and Pain.
All types of headaches are more common in women than in men, particularly migraine (17% in women vs. about 9% in men) and headache 15 or more days per month (6% in women vs. less than 3% in men).
“Compared to our earlier report and to global estimates, the data suggest that headache and migraine rates may be increasing. However, because we were able to explain only 30% or less of the variation in headache estimates with the measures we examined, it would be premature to conclude that headaches are definitely increasing,” Stogner said in a journal news release.
“What is clear is that headache disorders are widespread worldwide and can be a major burden. It may also be of interest in the future to analyze the various causes of headache that differ between groups in order to make prevention and treatment more effective,” he added.
Most of the studies included in the analysis involved adults aged 20 to 65 years, but some included adults older than 65 years and children as young as 5 years.
The U.S. National Institute of Neurological Disorders and Stroke offers more information on headaches.
Can AI Predict Cardiac Arrest Better Than A Doctor Can?
A new artificial intelligence approach can predict much more accurately than a doctor if and when cardiac patients might die from sudden cardiac arrest, and could improve survival rates, developers say.
“Sudden cardiac death caused by cardiac arrhythmias accounts for up to 20% of all deaths worldwide, and we know little about why it occurs or how to determine who is at risk,” said the study’s lead author, Natalia
Tray nova, professor and co-director of the Alliance for Cardiovascular Diagnostic and Treatment Innovation at Johns Hopkins University in Baltimore.
As a result, Tray nova said, patients at low risk of sudden cardiac death are receiving defibrillators they may not need, while high-risk patients are not receiving treatment that could save their lives.
“Our algorithm can determine who is at risk for cardiac death and when it will occur, so doctors can decide exactly what to do,” Tray nova said in a university news release.
The researchers developed their deep-learning technology using MRI images of damaged hearts from hundreds of patients, as well as patient data such as age, weight, race and medication use.
“The images contain important information that doctors have not been able to access before,” said the study’s first author, Dan Popescu, who worked in Tray nova’s lab during his doctoral studies.
“This scarring can be distributed differently and tells us something about a patient’s chances of survival,” Popescu said in the release. “There is information hidden in that.”
The artificial intelligence approach provides patients with heart disease with an individualized assessment of their risk of sudden cardiac death over a 10-year period and when it is most likely to occur.
Tests showed that the predictions were significantly more accurate in every respect than those provided by physicians, according to results published April 7 in the journal Nature Cardiovascular Research.
“This has the potential to significantly impact clinical decision making regarding the risk of cardiac arrhythmias and represents an important step in bringing patient prognostication into the age of artificial intelligence,” Tray nova said.
The researchers are now working on algorithms to detect other heart diseases.