“About 2.7 million Americans and 34 million people world-wide are estimated to have atrial fibrillation. Many patients don’t experience symptoms, and it can go undetected until a complication occurs,” Loftus reports. “Researchers say earlier detection could get patients on treatments like blood thinners to reduce risk of complications.”
“Researchers provided Apple Watches to about 50 patients with atrial fibrillation while undergoing procedures at UCSF known as cardioversions to restore normal heart rhythms. Patients were flat on their backs and the watches collected heart-rate data while they were still experiencing irregular heartbeats, and then when normal heart rhythm was restored,” Loftus reports. “The algorithm was able to distinguish between atrial fibrillation and normal heartbeats with about 97% accuracy when compared with gold-standard electrocardiograms, according to results published online Wednesday by JAMA Cardiology.”
“But the results were less impressive in a test of the algorithm in about 1,620 people using Apple Watch outside of the hospital in their everyday lives. The watch distinguished between atrial fibrillation and normal heart rhythm with about 72% accuracy, compared with participants’ reports to the researchers of whether they had atrial fibrillation. That means there were a significant number of false positives and false negatives,” Loftus reports. “Researchers said it was more difficult to detect atrial fibrillation in active people because activities can vary heart rates, and the watch measured heart rates less frequently than in the hospital setting.”
Read more in the full article here.
MacDailyNews Take: Obviously, there’s room for the algorithm to improve.
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