Author + information
- Bradley C. Witbrodt,
- Abhinav Goyal,
- Erikka Woolfolk and
- Alanna Morris
Background: Accelerometers are increasingly used to collect data on patients’ functional status. Prior studies have shown that wearable accelerometer outputs are reliable predictors of 6-Minute Walk distance (6MWD) in patients with heart failure with reduced ejection fraction (HFrEF) in controlled lab settings. We aimed to test the predictive value of data from waist-worn accelerometers in ambulatory HFrEF patients in their real-world home environments.
Methods: We enrolled 17 HFrEF patients (8 Male, Mean Age = 51±10, Mean EF% = 21±8) and recorded their 6MWD in a controlled lab setting. Each was then given an accelerometer to wear at home for 7 days and instructed to wear the device during regular ‘awake’ hours. The raw data was processed into 4 different activity domains: raw counts, steps, intensity, and METs, and then analyzed using multivariable linear regression for association with 6MWD.
Results: Ambulatory actigraphy data across all domains were found to have significant predictive correlation with 6MWD in univariate analysis, with the strongest predictor being step counts per hour worn (R2=0.618, p<0.001, Table). After adjusting for multiple covariates, variables from each of the accelerometry domains remained significant predictors of 6MWD.
Conclusions: Ambulatory actigraphy data significantly correlates with 6MWD in patients with HFrEF. If supported by further research, ambulatory actigraphy may provide a means for remotely monitoring the outpatient functional status of these patients.
Poster Hall, Hall C
Friday, March 17, 2017, 10:00 a.m.-10:45 a.m.
Session Title: Making Progress in Understanding Heart Failure
Abstract Category: 13. Heart Failure and Cardiomyopathies: Clinical
Presentation Number: 1123-289
- 2017 American College of Cardiology Foundation