Smart bracelet to assess physical activity after cardiac surgery: A prospective study

Marie Hauguel-Moreau, Cécile Naudin, Lee N'Guyen, Pierre Squara, Julien Rosencher, Serge Makowski, Fabrice Beverelli, Marie Hauguel-Moreau, Cécile Naudin, Lee N'Guyen, Pierre Squara, Julien Rosencher, Serge Makowski, Fabrice Beverelli

Abstract

Objectives: Little is known about the physical activity of patients after cardiac surgery. This study was designed to assess this activity using a connected bracelet.

Methods: In this prospective, monocentric study, patients scheduled for cardiac surgery were offered to wear an electronic bracelet. The main objective was to measure the physical activity recovery. Secondary objectives were the predictors of the correct use of the monitoring system, of the physical recovery and, if any, the relationship between physical activity and out-of-hospital morbidity.

Results: One hundred patients were included. Most patients (86%) were interested in participating in the study. The compliance to the device and to the study protocol was good (94%). At discharge, the mean number of daily steps was 1454 ± 145 steps, increasing quite homogeneously, reaching 5801±1151 steps at Day 60. The best fit regression curve gave a maximum number of steps at 5897±119 (r2 = 0.97). The 85% level of activity was achieved at Day 30±3. No predictor of noncompliance was found. At discharge, age was independently associated with a lower number of daily steps (p <0.001). At Day 60, age, peripheral arterial disease and cardio-pulmonary bypass duration were independently associated with a lower number of daily steps (p = 0.039, p = 0.041 and p = 0.033, respectively).

Conclusions: After cardiac surgery, wearing a smart bracelet recording daily steps is simple, well tolerated and suitable for measuring physical activity. Standard patients achieved around 6000 daily steps 2 months after discharge. 85% of this activity is reached in the first month.

Clinical trial registry number: NCT03113565.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Study consort flow chart.
Fig 1. Study consort flow chart.
Fig 2. Daily steps performed after cardiac…
Fig 2. Daily steps performed after cardiac surgery.
Black points = mean daily steps plus variability (±2SD) as shown by vertical lines. Blue curve = best fit regression, r2 = 0.97. DSmax: Extrapolated maximum of daily steps.

References

    1. Anderson L, Oldridge N, Thompson DR, Zwisler AD, Rees K, Martin N, et al. Exercise-Based Cardiac Rehabilitation for Coronary Heart Disease: Cochrane Systematic Review and Meta-Analysis. J Am Coll Cardiol. 2016;67(1):1–12. Epub 2016/01/15. 10.1016/j.jacc.2015.10.044 .
    1. Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC guidelines on the management of stable coronary artery disease: the Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J. 2013;34(38):2949–3003. Epub 2013/09/03. 10.1093/eurheartj/eht296 .
    1. Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. [2016 European guidelines on cardiovascular disease prevention in clinical practice. The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts. Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation]. Giornale italiano di cardiologia (2006). 2017;18(7):547–612. Epub 2017/07/18.
    1. Ramos Dos Santos PM, Aquaroni Ricci N, Aparecida Bordignon Suster E, de Moraes Paisani D, Dias Chiavegato L. Effects of early mobilisation in patients after cardiac surgery: a systematic review. Physiotherapy. 2017;103(1):1–12. Epub 2016/12/10. 10.1016/j.physio.2016.08.003 .
    1. Hojskov IE, Moons P, Hansen NV, Greve H, Olsen DB, Cour SL, et al. Early physical training and psycho-educational intervention for patients undergoing coronary artery bypass grafting. The SheppHeart randomized 2 x 2 factorial clinical pilot trial. European journal of cardiovascular nursing: journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology. 2016;15(6):425–37. Epub 2015/07/19.
    1. Papachristofi O, Klein AA, Mackay J, Nashef S, Fletcher N, Sharples LD. Effect of individual patient risk, centre, surgeon and anaesthetist on length of stay in hospital after cardiac surgery: Association of Cardiothoracic Anaesthesia and Critical Care (ACTACC) consecutive cases series study of 10 UK specialist centres. BMJ Open. 2017;7(9):e016947 Epub 2017/09/13. 10.1136/bmjopen-2017-016947
    1. van Laar C, TI ST, Noyez L. Decreased physical activity is a predictor for a complicated recovery post cardiac surgery. Health and quality of life outcomes. 2017;15(1):5 Epub 2017/01/11. 10.1186/s12955-016-0576-6
    1. Haghi M, Stoll R, Thurow K. A Low-Cost, Standalone, and Multi-Tasking Watch for Personalized Environmental Monitoring. IEEE transactions on biomedical circuits and systems. 2018. Epub 2018/07/17. 10.1109/tbcas.2018.2840347 .
    1. Lakshminarayanan K, Wang F, Webster JG, Seo NJ. Feasibility and usability of a wearable orthotic for stroke survivors with hand impairment. Disability and rehabilitation Assistive technology. 2017;12(2):175–83. Epub 2016/01/07. 10.3109/17483107.2015.1111945
    1. Rahmanian PB, Kroner A, Langebartels G, Ozel O, Wippermann J, Wahlers T. Impact of major non-cardiac complications on outcome following cardiac surgery procedures: logistic regression analysis in a very recent patient cohort. Interactive cardiovascular and thoracic surgery. 2013;17(2):319–26; discussion 26–7. Epub 2013/05/15. 10.1093/icvts/ivt149
    1. Tkebuchava S, Tasar R, Lehmann T, Faerber G, Diab M, Breuer M, et al. Predictors of Outcome for Aortic Valve Reimplantation Including the Surgeon-A Single-Center Experience. Thorac Cardiovasc Surg. 2018. Epub 2018/11/30. 10.1055/s-0038-1675594 .
    1. Cook DJ, Thompson JE, Prinsen SK, Dearani JA, Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. The Annals of thoracic surgery. 2013;96(3):1057–61. Epub 2013/09/03. 10.1016/j.athoracsur.2013.05.092 .
    1. Nogic J, Thein PM, Cameron J, Mirzaee S, Ihdayhid A, Nasis A. The utility of personal activity trackers (Fitbit Charge 2) on exercise capacity in patients post acute coronary syndrome [UP-STEP ACS Trial]: a randomised controlled trial protocol. BMC cardiovascular disorders. 2017;17(1):303 Epub 2017/12/30. 10.1186/s12872-017-0726-8
    1. Jehn M, Prescher S, Koehler K, von Haehling S, Winkler S, Deckwart O, et al. Tele-accelerometry as a novel technique for assessing functional status in patients with heart failure: feasibility, reliability and patient safety. International journal of cardiology. 2013;168(5):4723–8. Epub 2013/08/22. 10.1016/j.ijcard.2013.07.171 .
    1. Jehn M, Schmidt-Trucksass A, Hanssen H, Schuster T, Halle M, Koehler F. Association of physical activity and prognostic parameters in elderly patients with heart failure. Journal of aging and physical activity. 2011;19(1):1–15. Epub 2011/02/03. 10.1123/japa.19.1.1 .
    1. Brickwood KJ, Watson G, O’Brien J, Williams AD. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth. 2019;7(4):e11819 Epub 2019/04/13. 10.2196/11819
    1. Brakenridge CL, Fjeldsoe BS, Young DC, Winkler EA, Dunstan DW, Straker LM, et al. Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial. The international journal of behavioral nutrition and physical activity. 2016;13(1):115 Epub 2016/11/07. 10.1186/s12966-016-0441-3
    1. Pevnick JM, Birkeland K, Zimmer R, Elad Y, Kedan I. Wearable technology for cardiology: An update and framework for the future. Trends in cardiovascular medicine. 2018;28(2):144–50. Epub 2017/08/19. 10.1016/j.tcm.2017.08.003
    1. Daligadu J, Pollock CL, Carlaw K, Chin M, Haynes A, Thevaraajah Kopal T, et al. Validation of the Fitbit Flex in an Acute Post-Cardiac Surgery Patient Population. Physiotherapy Canada Physiotherapie Canada. 2018;70(4):314–20. Epub 2019/02/13. 10.3138/ptc.2017-34
    1. Lee JM, Byun W, Keill A, Dinkel D, Seo Y. Comparison of Wearable Trackers’ Ability to Estimate Sleep. International journal of environmental research and public health. 2018;15(6). Epub 2018/06/20. 10.3390/ijerph15061265
    1. Ehrler F, Weber C, Lovis C. Influence of Pedometer Position on Pedometer Accuracy at Various Walking Speeds: A Comparative Study. Journal of medical Internet research. 2016;18(10):e268 Epub 2016/10/08. 10.2196/jmir.5916
    1. Fokkema T, Kooiman TJ, Krijnen WP, CP VDS, M DEG. Reliability and Validity of Ten Consumer Activity Trackers Depend on Walking Speed. Medicine and science in sports and exercise. 2017;49(4):793–800. Epub 2017/03/21. 10.1249/MSS.0000000000001146 .
    1. An HS, Jones GC, Kang SK, Welk GJ, Lee JM. How valid are wearable physical activity trackers for measuring steps? European journal of sport science. 2017;17(3):360–8. Epub 2016/12/04. 10.1080/17461391.2016.1255261 .

Source: PubMed

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