Q&A: Wearable technology accurately predicts functional capacity in patients with CVD

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Sumary of Q&A: Wearable technology accurately predicts functional capacity in patients with CVD:

  • Data generated passively through the VascTrac app on an iPhone and Apple Watch predicted patient performance on a 6-minute walk test as accurately as a home-based 6-minute walk test, according to a longitudinal observational study..
  • Aalami, MD, a clinical associate professor of surgery-vascular surgery at the university, and colleagues enrolled 110 participants (99% men;.
  • participants completed supervised 6-minute walk tests (6MWTs) during clinic visits and at-home 6MWTs weekly, while the app continuously collected activity data..
  • The researchers found that the wearable technology predicted frailty with 90% sensitivity and 85% specificity, while the at-home walk test predicted frailty with 83% sensitivity and 60% specificity..
  • They also reported that passive data collected at home through the app were “nearly as accurate at predicting frailty on a clinic-based 6MWT as was a home-based 6MWT,”.
  • This means that some aspects of cardiovascular fitness can be tracked without the patient needing to come into clinic..
  • The VascTrac app was able to assess a patient frailty using remote data, which could serve as an indicator for when the patients need to come into the clinic..
  • This study served to test the reliability and repeatability of a home-based 6MWT and was not designed to fit into the workflow of a physician’s practice..
  • Patients with peripheral artery disease and other forms of cardiovascular disease that involve repeated 6MWT measurements would benefit from this technology..
  • — if being measured continuously and passively, it could serve as valuable data when evaluating a patient in any setting….

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