Apple Heart Study Finds Value in Using mHealth Wearables to Detect AFib

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Apple Heart Study Finds Value in Using mHealth Wearables to Detect AFib
The results of the long-awaited Apple Heart Study are out, and researchers
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The largest-ever study of a consumer-facing mHealth wearable finds that the Apple Watch can be used by clinicians to detect atrial fibrillation.
According to researchers at the Stanford University School of Medicine, almost 420,000 people participated in the Apple Heart Study, launched in 2017 in a partnership with Apple and American Well, the largest analysis to date of consumer-facing technology for clinical purposes.
Over an eight-month span, the Apple Watch detected an irregular heart rate in .52 percent, or 2,161 people.
“Because atrial fibrillation is an intermittent condition, it’s not surprising for it to go undetected in subsequent ECG patch monitoring,” Stanford Medicine said in a press release accompanying the study, which was published in The New England Journal of Medicine.
“Comparison between irregular pulse-detection on Apple Watch and simultaneous electrocardiography (ECG) patch recordings showed the pulse detection algorithm has an 84 percent positive predictive value.”
In addition, the study found that roughly three-quarters of the users who received a notification of having an irregular pulse contacted a care provider for further treatment.
“The study’s findings will help patients and clinicians understand how devices like Apple Watch can play a role in identifying atrial fibrillation, a deadly and often undiagnosed disease,” Mintu Turakhia, MD, an associate professor of cardiovascular medicine, said in the press release.
“Additionally, these important findings lay the foundation for further research into the use of emerging wearable technologies in clinical practice and demonstrate the unique potential of large-scale app-based studies.”
The study seeks to close the gap between popular consumer-facing devices and a skeptical healthcare industry by proving that these tools, if designed and properly vetted, can help clinicians monitor and treat patients in remote patient monitoring programs

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