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    Assessment of Mobility Trajectories Using Wearable Inertial Sensors During Autologous Hematopoietic Cell Transplant

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    Skiba_APMR_CombinedforOAP_2024 ...
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    Final Accepted Manuscript
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    Author
    Skiba, Meghan B
    El-Gohary, Mahmoud
    Horak, Fay
    Dieckmann, Nathan F
    Guidarelli, Carolyn
    Meyers, Gabrielle
    Hayes-Lattin, Brandon
    Winters-Stone, Kerri
    Affiliation
    Advanced Nursing Practice and Science Division, College of Nursing, University of Arizona
    University of Arizona Cancer Center, University of Arizona
    Issue Date
    2024-02-12
    Keywords
    disability
    gait analysis
    Hematologic neoplasms
    Multiple myeloma
    Physical functional performance
    Postural balance
    Rehabilitation
    
    Metadata
    Show full item record
    Publisher
    W.B. Saunders
    Citation
    Skiba, M. B., El-Gohary, M., Horak, F., Dieckmann, N. F., Guidarelli, C., Meyers, G., ... & Winters-Stone, K. (2024). Assessment of Mobility Trajectories using Wearable Inertial Sensors During Autologous Hematopoietic Cell Transplant. Archives of Physical Medicine and Rehabilitation.
    Journal
    Archives of physical medicine and rehabilitation
    Rights
    © 2024 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Objective: This study aimed to characterize mobility patterns using wearable inertial sensors and serial assessment across autologous hematopoietic cell transplant (autoHCT) and investigate the relation between mobility and perceived function in patients with hematologic cancer. Design: Prospective longitudinal study. Setting: Hospital adult transplant clinic followed by discharge. Participants: 78 patients with hematological cancer receiving autoHCT. Main Outcome Measures: Mobility was measured across 3 clinical phases (pretransplant, pre-engraftment, and post-engraftment) in using inertial sensors worn during prescribed performance tests in the hospital. Perceived function was assessed using validated provider-reported (Eastern Cooperative Oncology Group [ECOG] Performance Status Scale) and patient-reported [European Organization for Research and Treatment of Cancer Quality of Life Questionnaire [EORTC QLQ-C30]) measures. Trajectories of 5 selected mobility characteristics (turn duration, gait speed, stride time variability, double support time, and heel strike angle) across the clinical phases were also evaluated using piecewise linear mixed-effects models. Results: Using Principal Components Analysis, 4 mobility patterns were identified pretransplant: Gait Limitation, Sagittal Sway, Coronal Sway, and Balance Control. Gait Limitation measured pretransplant was significantly inversely associated with perceived function reported by the provider- (β = -0.11; 95% CI: -0.19, -0.02) and patient- (β = -4.85; 95% CI: -7.72, -1.99) post-engraftment in age-adjusted linear regression models. Mobility characteristics demonstrated immediate declines early pre-engraftment with stabilization by late pre-engraftment. Conclusion: Patients with hematological cancer experiencing gait limitations pretransplant are likely to have worse perceived function post-engraftment. Mobility declines in early phases post-transplant and may not fully recover, indicating an opportunity for timely rehabilitation referrals. Wearable inertial sensors can be used to identify early mobility problems and patients who may be at risk for future functional decline who may be candidates for early physical rehabilitation.
    Note
    12 month embargo; first published 12 February 2024
    EISSN
    1532-821X
    PubMed ID
    38354878
    DOI
    10.1016/j.apmr.2024.01.019
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.apmr.2024.01.019
    Scopus Count
    Collections
    UA Faculty Publications

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