About 1 in 5 professional basketball players had abnormalities on their electrocardiograms (ECGs), some but not all of which were explained by changes in the shape and size of their hearts as a result ...

In a new study, 1 in 5 National Basketball Association athletes had abnormal ECG classifications, some of which may be influenced by left ventricular concentric remodeling. Overall, 89% of athletes ...

Please provide your email address to receive an email when new articles are posted on . Abnormal ECG findings were more common in female athletes compared with male athletes, according to a study ...

DEAR DR. ROACH: I will be undergoing a thyroidectomy to reduce the chances of thyroid cancer, given my family history, a CHEK2 mutation and ongoing thyroid nodule growth. My concern is that I had an ...

Background In athletes, ECG changes from physiological cardiac remodelling are common but can overlap with findings from a pathological disorder. We compared ECG findings in a group of elite high ...

September 5, 2006 (Barcelona) -- A study of patients with severe epilepsy and learning difficulties showed that 60% have abnormalities on electrocardiogram (ECG), raising the question of whether these ...

Major electrocardiogram abnormalities are associated with a significant 2-fold higher risk for cardiovascular mortality among patients with ANCA-associated vasculitis compared with a control group.

ECG abnormalities detected as part of a cardiac screening program mandated by the National Basketball Association (NBA) were found in 15.6% of active players and potential draftees, a new analysis ...

ECG-derived LVH has been strongly linked with the risk of ischemic stroke. [48] LVH also predicts cognitive dysfunction where subclinical stroke is a potential contributor. [49,50] It is even included ...

A team of scientists from New York University Langone Medical Center, USA, has revealed that the clinical severity of hospitalized patients with coronavirus disease 2019 (COVID-19) can be predicted by ...

Recently, I reported on how the Apple Watch, even the model first released in 2015 was able to spot diabetes with high accuracy (85%) thanks to the deep neural network, DeepHeart. Now, a new study ...