Researchers studied BMI and health data for 1.9 million people aged 16 to 20
These people had a follow up appointment later in life with data on strokes
The team found those with a high BMI as teenagers were more at risk of a stroke
Those who were obese as a teenager were at the greatest risk of a stroke by 50
What You Should Know:
– Eko, a cardiopulmonary digital health company, today announced the peer-reviewed publication of a clinical study that found that the Eko artificial intelligence (AI) algorithm for detecting heart murmurs is accurate and reliable, with comparable performance to that of an expert cardiologist.
– The findings suggest utility of the FDA-cleared Eko AI algorithm as a front line clinical tool to aid clinicians in screening for cardiac murmurs that may be caused by valvular heart disease.
Clinical Study Findings/Results
Algorithm performance for detecting murmurs was found to have sensitivity of 90.0% and specificity of 91.4%, when excluding grade 1 murmurs which are difficult to hear. The NIH-sponsored, multi site study published in the Journal of the American Heart Association was the largest study on AI analysis of cardiac murmurs. Study investigators included collaborators from Northwestern Memorial Hospital, University of California San Fra
Eko Digital Stethoscope AI Analysis Algorithm Validated for Detecting Heart Murmurs
Journal of the American Heart Association study found the AI algorithm detects clinically significant murmurs comparable to expert cardiologists
The Eko digital stethoscope can record heart soubnds and use an artificial intelligence (AI) analysis algorithm to detect heart murmurs. I new study in the
JAHA showed it has comparable performance to that of an expert cardiologist.
May 10, 2021 Eko announced the peer-reviewed publication of a clinical study that found that the Eko artificial intelligence (AI) algorithm used with its digital stethoscopes for detecting heart murmurs is accurate and reliable, with comparable performance to that of an expert cardiologist. The findings suggest utility of the FDA-cleared Eko AI algorithm as a frontline clinical tool to aid clinicians in screening for cardiac murmurs that may be caused by valvular heart disease.
May 07, 2021
Despite documented declines in 30-day readmission rates after TAVI, there is considerable variation across centers in the United States that is not explained by hospital characteristics alone, a new study suggests.
In fact, the
likelihood of being readmitted at 30 days was roughly 60% higher when patients were treated at a hospital that was 1 standard deviation (SD) above the national average for readmission rates versus 1 SD below the national average, report investigators.
Lead author Dhaval Kolte, MD, PhD (Massachusetts General Hospital, Boston), explained that 85% of the variation they saw could not be attributed to differences in patient characteristics, length of stay, and discharge disposition. “What we concluded was that the unexplained variation in the hospital readmission rates was not explained internally by the hospital-level practices, so there likely are other unmeasured variables that could include patient-level factors such as social determinants
And she has a message for other women. Listen to your body, she said. I got through it because I listened to my body. … So many people don t. You can t brush it off and deal with it later. Later never comes.
Female-specific risks for heart disease
The American Heart Association Journal special issue, released online this year, cited multiple research studies showing that women face many female-specific risks for heart disease and stroke. Pregnancy, physical and emotional stress, sleep patterns and numerous physiological aspects are among the many unique factors found to contribute to increased cardiovascular risks for women, according to the journal.