» Articles » PMID: 36172447

Comparing Three Wearable Accelerometers to Measure Early Activity After Cardiac Surgery

Overview
Journal JTCVS Open
Date 2022 Sep 29
PMID 36172447
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Wearable activity monitors can provide detailed data on activity after cardiac surgery and discriminate a patient's risk for hospital-based outcomes. However, comparative data for different monitoring approaches, as well as predictive ability over clinical characteristics, are lacking. In addition, data on specific thresholds of activity are needed. The objective of this study was to compare 3 wearable activity monitors and 1 observational mobility scale in discriminating risk for 3 hospital-based outcomes, and to establish clinically relevant step thresholds.

Methods: Cardiac surgery patients were enrolled between June 2016 and August 2017 in a cohort study. Postoperative activity was measured by 3 accelerometry monitors (StepWatch Ambulation Monitor, Fitbit Charge HR, and ActiGraph GT9X) and 1 nurse-based observation scale. Monitors represent a spectrum of characteristics, including wear location (ankle/wrist), output (activity counts/steps), consumer accessibility, and cost. Primary outcomes were duration of hospitalization >7 days, discharge to a nonhome location, and 30-day readmission.

Results: Data were available from 193 patients (median age 67 years [interquartile range, 58-72]). All postoperative day 2 activity metrics (ie, from StepWatch, Fitbit, ActiGraph, and the observation scale) were independently associated with prolonged hospitalization and discharge to a nonhome location. Only steps as measured by StepWatch was independently associated with 30-day readmission. Overall, StepWatch provided the greatest discrimination (C-statistics 0.71-0.76 for all outcomes). Step thresholds between 250 and 500 steps/day identified between 74% and 96% of patients with any primary outcome.

Conclusions: Data from wearable accelerometers provide additive value in early postoperative risk-stratification for hospital-based outcomes. These results both support and provide guidance for activity-monitoring programs after cardiac surgery.

Citing Articles

Association of computed tomography-derived muscle mass and quality with delayed acquisition independent walking after cardiovascular surgery.

Shimizu K, Matsuzawa R, Nakamura S, Murakawa K, Kawakami H, Tabuchi M J Cachexia Sarcopenia Muscle. 2024; 15(5):1677-1686.

PMID: 38898544 PMC: 11446715. DOI: 10.1002/jcsm.13521.


A New Index for the Quantitative Evaluation of Surgical Invasiveness Based on Perioperative Patients' Behavior Patterns: Machine Learning Approach Using Triaxial Acceleration.

Nakanishi K, Goto H JMIR Perioper Med. 2023; 6:e50188.

PMID: 37962919 PMC: 10685283. DOI: 10.2196/50188.


Remote monitoring following adult cardiac surgery: A paradigm shift?.

Lobdell K, Crotwell S, Watts L, LeNoir B, Frederick J, Skipper E JTCVS Open. 2023; 15:300-310.

PMID: 37808027 PMC: 10556943. DOI: 10.1016/j.xjon.2023.07.003.


Comparison of postoperative mobilization measurements by activPAL versus Johns Hopkins Highest Level of Mobility scale after major abdominal surgery.

Fuchita M, Ridgeway K, Sandridge B, Kimzey C, Abraham A, Melanson E Surgery. 2023; 174(4):851-857.

PMID: 37580218 PMC: 10530478. DOI: 10.1016/j.surg.2023.07.014.


Interventions Using Wearable Activity Trackers to Improve Patient Physical Activity and Other Outcomes in Adults Who Are Hospitalized: A Systematic Review and Meta-analysis.

Szeto K, Arnold J, Singh B, Gower B, Simpson C, Maher C JAMA Netw Open. 2023; 6(6):e2318478.

PMID: 37318806 PMC: 10273021. DOI: 10.1001/jamanetworkopen.2023.18478.

References
1.
Abeles A, Kwasnicki R, Pettengell C, Murphy J, Darzi A . The relationship between physical activity and post-operative length of hospital stay: A systematic review. Int J Surg. 2017; 44:295-302. DOI: 10.1016/j.ijsu.2017.06.085. View

2.
Daskivich T, Houman J, Lopez M, Luu M, Fleshner P, Zaghiyan K . Association of Wearable Activity Monitors With Assessment of Daily Ambulation and Length of Stay Among Patients Undergoing Major Surgery. JAMA Netw Open. 2019; 2(2):e187673. PMC: 6484591. DOI: 10.1001/jamanetworkopen.2018.7673. View

3.
Agostini P, Naidu B, Rajesh P, Steyn R, Bishay E, Kalkat M . Potentially modifiable factors contribute to limitation in physical activity following thoracotomy and lung resection: a prospective observational study. J Cardiothorac Surg. 2014; 9:128. PMC: 4283127. DOI: 10.1186/1749-8090-9-128. View

4.
Kamel H, Iqbal M, Mogallapu R, Maas D, Hoffmann R . Time to ambulation after hip fracture surgery: relation to hospitalization outcomes. J Gerontol A Biol Sci Med Sci. 2003; 58(11):1042-5. DOI: 10.1093/gerona/58.11.m1042. View

5.
Muschelli J . ROC and AUC with a Binary Predictor: a Potentially Misleading Metric. J Classif. 2020; 37(3):696-708. PMC: 7695228. DOI: 10.1007/s00357-019-09345-1. View