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Research ArticleEndoscopic Minimally Invasive Surgery

Patient Recovery Following Uniportal Endoscopic Vs Open Lumbar Spine Surgery: Objective Analysis of Postoperative Mobility and Gait Patterns Using Wearable Sensors

Alison Ma, Ralph J. Mobbs and Monish M. Maharaj
International Journal of Spine Surgery February 2025, 19 (1) 39-48; DOI: https://doi.org/10.14444/8718
Alison Ma
1 Faculty of Medicine, University of New South Wales, Sydney NSW, Australia
2 NeuroSpine Surgery Research Group, Prince of Wales Private Hospital, Randwick NSW, Australia
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  • ORCID record for Alison Ma
  • For correspondence: alisonma789@gmail.com
Ralph J. Mobbs
1 Faculty of Medicine, University of New South Wales, Sydney NSW, Australia
2 NeuroSpine Surgery Research Group, Prince of Wales Private Hospital, Randwick NSW, Australia
3 Department of Neurosurgery, Prince of Wales Hospital, Sydney, Randwick NSW, Australia
4 NeuroSpine Clinic, Prince of Wales Private Hospital, Sydney, Randwick NSW, Australia
5 Wearables and Gait Research Group (WAGAR), Prince of Wales Private Hospital, Sydney, Randwick NSW, Australia
MB, BS, BSc (Med), MS, FRACS
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Monish M. Maharaj
1 Faculty of Medicine, University of New South Wales, Sydney NSW, Australia
2 NeuroSpine Surgery Research Group, Prince of Wales Private Hospital, Randwick NSW, Australia
4 NeuroSpine Clinic, Prince of Wales Private Hospital, Sydney, Randwick NSW, Australia
5 Wearables and Gait Research Group (WAGAR), Prince of Wales Private Hospital, Sydney, Randwick NSW, Australia
6 Department of Radiology, Prince of Wales Hospital, Sydney, Randwick NSW, Australia
BMed, MD, MS
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  • Figure 1
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    Figure 1

    Wearable sensor developed by Genesys Electronic Design (Sydney, Australia) placed at the center of the chest below the jugular notch.

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    Figure 2

    Pie charts representing the mean proportion of time endoscopic and open spine surgery patients spent in each position (standing/walking, sitting, and lying). Differences in postoperative metrics between the 2 groups were assessed using the Mann-Whitney U test for non-normally distributed data or the independent samples t test (2-tailed) for normally distributed data.

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    Figure 3

    Radar plot comparing the gait metrics of endoscopic and open spine surgery patients. Values represent the percentage difference between endoscopic (orange) and open (blue) spine surgery patient gait metrics, with open spine surgery patient values placed at 0%. Differences in postoperative metrics between the 2 groups were assessed using the Mann-Whitney U test for non-normally distributed data or the independent samples t test (2-tailed) for normally distributed data.

Tables

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    Table 1

    Definition of metrics used in the present study.

    MetricDefinition (units)
    Position metrics
     Standing/walkingTime spent standing or walking (%)
     SittingTime spent sitting (%)
     LyingTime spent lying (%)
    Steps
     Daily step countAverage steps walked per day
    Base gait metrics
     Gait velocityDistance traveled per second (m/s)
     Step lengthDistance between 2 consecutive contacts of any foot with the ground (m)
     Step timeTime between 2 consecutive contacts of any foot with the ground (s)
     Double supportPercentage of time where both feet are in contact with the ground (%)
    Derivative gait metrics
     Symmetry scoreGait symmetry index (score from 0–100), calculated as the sum of the 3 components below.
    • Gait velocity (m/s)

    • Step time asymmetry: step-to-step variability in step time (ms)

    • Step length asymmetry: step-to-step variability in step length (cm)

     Gait velocity variability scoreStep-to-step variability of gait velocity, calculated as the coefficient of variation (CoV):
    Formula
     WORM scoreQuantifies the stability, or “figure-of-8” motion of a subject’s trunk during walking as an indicator of falls-risk with exact calculations by Mobbs et al.23
    • Abbreviation: WORM, walking orientation randomness metric.

    • Note: Position metrics, steps, and base gait metrics are directly calculated by the sensor. Derivative gait metrics are mathematically derived from the base gait metrics and are not directly calculated by the sensor. Symmetry is related to differences between the left and right leg. Variability is related to differences in gait velocity between each step.

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    Table 2

    Demographic and clinical characteristics of the endoscopic and open surgery participants.

    VariableEndoscopy (n = 13)Open (n = 11) P
    Continuous variables, mean ± SD
     Age, y66.85 ± 16.9461.82 ± 11.540.414
     Height, cm168.85 ± 10.73172.00 ± 10.210.422
     Body mass, kg81.92 ± 19.4583.27 ± 17.460.861
    Categorical variables, n (%)
     Female6 (46.2)5 (45.5)-
     Smoking1 (7.7)1 (9.1)-
     Diabetes3 (23.1)1 (9.1)-
     Hypertension5 (38.5)4 (36.4)-
     Falls in the past 12 months3 (23.1)1 (9.1)-
     Hip/knee pain4 (30.8)5 (45.5)-
     Back/knee pain13 (100)11 (100)-
     Walking aids4 (30.8)1 (9.1)-
    Health rating, 0–100, mean ± SD83.08 ± 6.6384.27 ± 5.730.644
    EQ-5D score, mean ± SD or median (IQR)0.770 ± 0.8510.800 (0.040)0.392
    Mobility, n (%)
     No problem0 (0)0 (0)-
     Slight7 (53.8)1 (9.1)
     Moderate4 (30.8)5 (45.5)
     Severe2 (15.4)5 (45.5)
     Unable0 (0)0 (0)
    Self-care, n (%)
     No problem0 (0)0 (0)-
     Slight7 (53.8)7 (63.6)
     Moderate4 (30.8)2 (18.2)
     Severe2 (15.4)2 (18.2)
     Unable0 (0)0 (0)
    Activities of daily living, n (%)
     No problem1 (7.7)0 (0)-
     Slight7 (53.8)8 (72.7)
     Moderate4 (30.8)3 (27.3)
     Severe1 (7.7)0 (0)
     Unable0 (0)0 (0)
    Pain/discomfort, n (%)
     None0 (0)0 (0)-
     Slight3 (23.1)4 (36.4)
     Moderate8 (61.5)7 (63.6)
     Severe2 (15.4)0 (0)
     Extreme0 (0)0 (0)
    Anxiety/depression, n (%)
     None12 (92.3)10 (90.9)-
     Slight1 (7.7)0 (0)
     Moderate0 (0)1 (9.1)
     Severe0 (0)0 (0)
     Extreme0 (0)0 (0)
    • Note: For continuous variables, mean ± SD was reported for normally distributed data, and median (interquartile range [IQR]) was reported for non-normally distributed data. For categorical variables, frequency counts (n) and percentages (%) were reported.

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    Table 3

    Comparison of immediate postoperative position metrics, step count, and gait metrics of endoscopic and open surgery patients.

    VariableEndoscopy (n = 13)Open (n = 11)Group Difference (Endoscopy—Open)
    Mean ± SD or Median (IQR)95% CI% P
    Position metrics
     Stand/walk, %20.62 ± 12.7619.00 ± 10.43−8.37; 11.608.5260.741
     Sit, %52.31 ± 25.4327.82 ± 22.693.91; 45.0788.030.022a
     Lie, %26.92 ± 18.0653.18 ± 24.31−44.21; −8.31−49.380.006a
    Steps
     Daily step count475.91 ± 254.94244.00 ± 105.5450.19; 413.6295.050.015a
    Gait Metrics
     Gait velocity, m/s0.966 ± 0.8310.831 ± 0.6290.061; 0.20816.250.001a
     Step length, m0.650 ± 0.1410.607 (0.088)−0.146; 0.1580.0710.888
     Step time, s0.680 ± 0.0590.675 (0.077)−0.182; 0.1180.7410.423
     Double support, %21.60 (8.85)29.88 ± 4.92−11.10; 0.00−27.710.046a
     Symmetry score87.47 ± 3.5085.01 (3.67)−2.58; 5.132.8210.277
     Variability score11.82 ± 5.8922.43 ± 6.77−17.15; −4.07−47.300.004a
     WORM score0.810 ± 0.820.817 (0.415)−0.58; 0.57−0.8570.673
    • Abbreviation: WORM, walking orientation randomness metric.

    • Note: Mean ± SD was reported for normally distributed data, and median interquartile range [IQR]) was reported for non-normally distributed data.

    • ↵a Statistically significant result (P < 0.05).

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Patient Recovery Following Uniportal Endoscopic Vs Open Lumbar Spine Surgery: Objective Analysis of Postoperative Mobility and Gait Patterns Using Wearable Sensors
Alison Ma, Ralph J. Mobbs, Monish M. Maharaj
International Journal of Spine Surgery Feb 2025, 19 (1) 39-48; DOI: 10.14444/8718

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Patient Recovery Following Uniportal Endoscopic Vs Open Lumbar Spine Surgery: Objective Analysis of Postoperative Mobility and Gait Patterns Using Wearable Sensors
Alison Ma, Ralph J. Mobbs, Monish M. Maharaj
International Journal of Spine Surgery Feb 2025, 19 (1) 39-48; DOI: 10.14444/8718
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