Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease.
Neil RensNeil GandhiJonathan MakJeddeo PaulDrew BentStephanie LiuDasha SavageHelle Nielsen-BowlesDoran TriggsGhausia AtaJulia TalgoSantiago GutierrezOliver AalamiPublished in: PloS one (2021)
In this longitudinal observational study, passive activity data acquired by an iPhone and Apple Watch were an accurate predictor of in-clinic 6MWT performance. This finding suggests that frailty and functional capacity could be monitored and evaluated remotely in patients with cardiovascular disease, enabling safer and higher resolution monitoring of patients.
Keyphrases
- primary care
- cardiovascular disease
- end stage renal disease
- electronic health record
- ejection fraction
- newly diagnosed
- chronic kidney disease
- type diabetes
- big data
- peritoneal dialysis
- prognostic factors
- high resolution
- cardiovascular risk factors
- cross sectional
- coronary artery disease
- metabolic syndrome
- machine learning
- mass spectrometry