Monitoring of Gait Quality in Patients With Chronic Pain of Lower Limbs

Severe injuries of lower extremities often lead to chronic pain and reduced walking abilities. We postulated that measuring free-living gait can provide further information about walking ability in complement to clinical evaluations. We sought to validate a method that characterizes free gaits with a wearable sensor. Over one week, 81 healthy controls (HC) and 66 chronic lower limb pain patients (CLLPP) hospitalized for multidisciplinary rehabilitation wore a simple accelerometer (Actigraph). In the acceleration signals, steady 1-min walks detected numbered 7,835 (5,085 in CLLPP and 2,750 in HC). Five gait quality measures were assessed: movement intensity, cadence, stride regularity, and short-term and long-term local dynamic stability. Gait quality variables differed significantly between CLLPP and HC (4%–26%). Intraclass correlation coefficients revealed moderate to high repeatability (0.71–0.91), which suggests that seven days of measurement are sufficient to assess average gait patterns. Regression analyses showed significant association (R2 = 0.44) between the gait quality variables and a clinical evaluation of walking ability, i.e., the 6-min walk test. Overall, the results show that the method is easy to implement, valid (high concurrent validity), and reliable to assess walking abilities ecologically.

[1]  Kerianne Greene Mobility Related Function in Older Adults: Assessment With a 6-Minute Walk Test. , 2000 .

[2]  A. Godfreya,et al.  Instrumenting gait with an accelerometer: A system and algorithm examination , 2017 .

[3]  M. T. Kristensen,et al.  Interrater Reliability of the 6-Minute Walk Test in Women With Hip Fracture , 2017, Journal of geriatric physical therapy.

[4]  S. Õunpuu,et al.  Efficacy of clinical gait analysis: A systematic review. , 2011, Gait & posture.

[5]  Andreas Daffertshofer,et al.  Daily-Life Gait Quality as Predictor of Falls in Older People: A 1-Year Prospective Cohort Study , 2016, PloS one.

[6]  R. Ostelo,et al.  Multidisciplinary biopsychosocial rehabilitation for chronic low back pain: Cochrane systematic review and meta-analysis , 2015, BMJ : British Medical Journal.

[7]  Jeffrey M. Hausdorff,et al.  A comparison study of local dynamic stability measures of daily life walking in older adult community-dwelling fallers and non-fallers. , 2016, Journal of biomechanics.

[8]  R. Dickstein Rehabilitation of gait speed after stroke: a critical review of intervention approaches. , 2008, Neurorehabilitation and neural repair.

[9]  B. Galna,et al.  Free-living gait characteristics in ageing and Parkinson’s disease: impact of environment and ambulatory bout length , 2016, Journal of NeuroEngineering and Rehabilitation.

[10]  A. Goris,et al.  Detection of type, duration, and intensity of physical activity using an accelerometer. , 2009, Medicine and science in sports and exercise.

[11]  Moe R. Lim,et al.  Evaluation of the Elderly Patient With an Abnormal Gait , 2007, The Journal of the American Academy of Orthopaedic Surgeons.

[12]  Philippe Terrier,et al.  Local dynamic stability of treadmill walking: intrasession and week-to-week repeatability. , 2013, Journal of biomechanics.

[13]  D. Brooks,et al.  Reference values for standardized tests of walking speed and distance: a systematic review. , 2015, Gait & posture.

[14]  Wim G. M. Janssen,et al.  Accelerometric assessment of different dimensions of natural walking during the first year after stroke: Recovery of amount, distribution, quality and speed of walking. , 2015, Journal of rehabilitation medicine.

[15]  N Sekiya,et al.  The invariant relationship between step length and step rate during free walking , 1996 .

[16]  Philippe Terrier,et al.  Do orthopaedic shoes improve local dynamic stability of gait? An observational study in patients with chronic foot and ankle injuries , 2013, BMC Musculoskeletal Disorders.

[17]  Jaap H van Dieën,et al.  Sensitivity of trunk variability and stability measures to balance impairments induced by galvanic vestibular stimulation during gait. , 2011, Gait & posture.

[18]  J. Weir Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. , 2005, Journal of strength and conditioning research.

[19]  R. Moe-Nilssen,et al.  A new method for evaluating motor control in gait under real-life environmental conditions. Part 2: Gait analysis. , 1998, Clinical biomechanics.

[20]  J. Bensing,et al.  Electronic diary assessment of pain, disability and psychological adaptation in patients differing in duration of pain , 2000, PAIN®.

[21]  J. Liau,et al.  Investigation of Clinical Effects of High- and Low-Resistance Training for Patients With Knee Osteoarthritis: A Randomized Controlled Trial , 2008, Physical Therapy.

[22]  Alan Godfrey,et al.  Validation of an Accelerometer to Quantify a Comprehensive Battery of Gait Characteristics in Healthy Older Adults and Parkinson's Disease: Toward Clinical and at Home Use , 2016, IEEE Journal of Biomedical and Health Informatics.

[23]  David R Bassett,et al.  Accelerometer-based physical activity: total volume per day and standardized measures. , 2015, Medicine and science in sports and exercise.

[24]  Andreas Daffertshofer,et al.  Identification of Fall Risk Predictors in Daily Life Measurements , 2015, Neurorehabilitation and neural repair.

[25]  B. Collett,et al.  Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment , 2006, European journal of pain.

[26]  P. Terrier,et al.  Non-linear dynamics of human locomotion: effects of rhythmic auditory cueing on local dynamic stability , 2012, Front. Physiol..

[27]  C. Terwee,et al.  Quality criteria were proposed for measurement properties of health status questionnaires. , 2007, Journal of clinical epidemiology.

[28]  K. McGraw,et al.  Forming inferences about some intraclass correlation coefficients. , 1996 .

[29]  A. Hofman,et al.  Chronic joint pain in the lower body is associated with gait differences independent from radiographic osteoarthritis. , 2015, Gait & posture.

[30]  Roger Hilfiker,et al.  Local dynamic stability as a responsive index for the evaluation of rehabilitation effect on fall risk in patients with multiple sclerosis: a longitudinal study , 2013, BMC Research Notes.

[31]  Philippe Terrier,et al.  To what extent does not wearing shoes affect the local dynamic stability of walking?: effect size and intrasession repeatability. , 2012, Journal of applied biomechanics.

[32]  J. Dingwell,et al.  Nonlinear time series analysis of normal and pathological human walking. , 2000, Chaos.

[33]  K Aminian,et al.  Can accelerometry accurately predict the energy cost of uphill/downhill walking? , 2001, Ergonomics.

[34]  Ben Stansfield,et al.  Quantifying the cadence of free-living walking using event-based analysis. , 2015, Gait & posture.

[35]  P. Enright,et al.  The 6‐min Walk Test: A Quick Measure of Functional Status in Elderly Adults. , 2003, Chest.

[36]  P. Beek,et al.  Assessing the stability of human locomotion: a review of current measures , 2013, Journal of The Royal Society Interface.

[37]  Jeffrey M. Hausdorff,et al.  Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings , 2013, Neurorehabilitation and neural repair.

[38]  Andreas Daffertshofer,et al.  Consistency of gait characteristics as determined from acceleration data collected at different trunk locations. , 2014, Gait & posture.

[39]  Olivier Beauchet,et al.  Walking speed-related changes in stride time variability: effects of decreased speed , 2009, Journal of NeuroEngineering and Rehabilitation.

[40]  C. Cleeland,et al.  Pain assessment: global use of the Brief Pain Inventory. , 1994, Annals of the Academy of Medicine, Singapore.

[41]  Jonathan B Dingwell,et al.  Influence of simulated neuromuscular noise on the dynamic stability and fall risk of a 3D dynamic walking model. , 2011, Journal of biomechanics.

[42]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[43]  B. Auvinet,et al.  Accelerometric gait analysis for use in hospital outpatients. , 1999, Revue du rhumatisme.

[44]  J. Dingwell,et al.  LYAPUNOV EXPONENTS , 2006 .

[45]  R. Gatchel,et al.  Models of Return to Work for Musculoskeletal Disorders , 2007, Journal of Occupational Rehabilitation.

[46]  James F Kellam,et al.  Long-term persistence of disability following severe lower-limb trauma. Results of a seven-year follow-up. , 2005, The Journal of bone and joint surgery. American volume.

[47]  J. Dingwell,et al.  Effects of perturbation magnitude on dynamic stability when walking in destabilizing environments. , 2012, Journal of biomechanics.

[48]  Philippe Terrier,et al.  Prescription footwear for severe injuries of foot and ankle: effect on regularity and symmetry of the gait assessed by trunk accelerometry. , 2009, Gait & posture.

[49]  E. Mackenzie,et al.  Prevalence of chronic pain seven years following limb threatening lower extremity trauma , 2006, Pain.

[50]  P. Terrier Fractal Fluctuations in Human Walking: Comparison Between Auditory and Visually Guided Stepping , 2015, Annals of Biomedical Engineering.

[51]  Jaap H van Dieën,et al.  Stability and variability of knee kinematics during gait in knee osteoarthritis before and after replacement surgery. , 2010, Clinical biomechanics.

[52]  Jaap H. van Dieën,et al.  Characteristics of daily life gait in fall and non fall-prone stroke survivors and controls , 2016, Journal of NeuroEngineering and Rehabilitation.

[53]  F. Hug,et al.  Effects of noxious stimulation to the back or calf muscles on gait stability. , 2015, Journal of biomechanics.

[54]  T. Chau,et al.  Measures of dynamic stability: Detecting differences between walking overground and on a compliant surface. , 2010, Human movement science.

[55]  Philippe Terrier,et al.  Could Local Dynamic Stability Serve as an Early Predictor of Falls in Patients with Moderate Neurological Gait Disorders? A Reliability and Comparison Study in Healthy Individuals and in Patients with Paresis of the Lower Extremities , 2014, PloS one.

[56]  Doerte U. Junghaenel,et al.  Individual differences in the day-to-day variability of pain, fatigue, and well-being in patients with rheumatic disease: Associations with psychological variables , 2012, PAIN®.

[57]  Y. Schutz,et al.  A new accelerometric method to assess the daily walking practice , 2002, International Journal of Obesity.

[58]  Jaap H van Dieën,et al.  Ambulatory fall-risk assessment: amount and quality of daily-life gait predict falls in older adults. , 2015, The journals of gerontology. Series A, Biological sciences and medical sciences.