Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease.
Where this comes from
- Record sourced from PubMed, PMID 32665977.
- Also identified by DOI 10.1038/s41746-020-0299-2 and PMC identifier 7347580.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of <i>n</i> = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (<i>p</i> < 0.001; <i>R</i> <sup>2</sup> = 0.48). The uncertainty of these predictions is demonstrated.