29 research outputs found

    Diagnostic tests in the clinical diagnosis of lumbar spinal stenosis : consensus and results of an international Delphi study

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    Purpose: Reach a consensus on which diagnostic tests are most important in confrming the clinical diagnosis of lumbar spinal stenosis (LSS). Methods: Phase 1: 22 members of the International Taskforce on the Diagnosis and Management of LSS confrmed 35 diagnostic items. An on-line survey was developed that allows experts to express the logical order in which they consider the diagnostic tests, and the level of certainty ascertained from each test. Phase 2, Round 1: Survey distributed to members of the International Society for the Study of the Lumbar Spine. Round 2: Meeting of 15 members of Taskforce defned fnal list of 10 items. Round 3: Survey was distributed internationally, followed by Taskforce consensus. Results: Totally, 432 clinicians from 28 diferent countries participated. Certainty of the diagnosis was 60% after selecting the frst test and signifcant change in certainty ceasing after eight items at 90.8% certainty (p<0.05). The most frequently selected tests included MRI/CT scan, neurological examination and walking test with gait observation. The diagnostic test selected most frequently as the frst test was neurological examination. Conclusions: This is the frst study to reach an international consensus on which diagnostic tests should be used in the clinical diagnosis of LSS. The fnal recommendation includes three core diagnostic items: neurological examination, MRI/CT and walking test with gait observation. The Taskforce also recommends 3 ‘rule out’ tests: foot pulses/ABI, hip examination and test for cervical myelopathy. If applied, this core set of diagnostic tests can standardize outcomes and improve clinical care of LSS globally

    Surgical versus non-surgical treatment for lumbar spinal stenosis

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    Lumbar spinal stenosis (LSS) is a debilitating condition associated with degeneration of the spine with aging

    Standardizing Physical Activity Monitoring in Patients With Degenerative Lumbar Disorders

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    BACKGROUND AND OBJECTIVES Degenerative thoracolumbar disorders (DTDs) typically cause pain and functional impairment. However, little is known regarding the DTD impact on patient's real-life physical activity. The objective of this study is to validate a wearable measure of physical activity monitoring in patients with DTD and to create gender- and sex-specific performance thresholds that are standardized to the mean of a control population. METHODS A commercially available smartwatch (Apple Watch) was used to monitor preoperative physical activity in patients undergoing surgery for DTD. Mean preoperative physical activity 2 weeks before the scheduled surgery was expressed as raw step count. Standardized z-scores were referenced to age- and sex-specific values of a control population from a large public database. Step counts were assessed for convergent validity with established patient-reported outcome measures, and impairment in activity was stratified into performance groups based on z-score cutoff values. RESULTS Sixty-five patients (62% female) with a mean (±SD) age of 63.8 (±12.8) years had a mean preoperative daily step count of 5556 (±3978). Physical activity showed significant correlation with patient-reported outcome measures, including Oswestry disability index (r = -0.26, 95% CI: -0.47-0.01), 36-Item Short Form Survey Physical Component Summary score (r = 0.30, 95% CI: 0.06-0.51), and Patient-Reported Outcomes Measurement Information System Physical Function (r = 0.49, 95% CI: 0.27-0.65). "No," "Mild," "moderate," and "severe impairment" in activity performance were defined as corresponding z-scores of >0, 0 to -0.99, -1 to -1.99, and ≀-2, accounting for 22%, 34%, 40%, and 5% of the study population. Each one-step category increase in activity impairment resulted in increased subjective disability as measured by the Oswestry Disability Index, 36-Item Short Form Survey Physical Component Summary, and Patient-Reported Outcomes Measurement Information System Physical Function (all P-values <.05). CONCLUSION We establish the first wearable objective measure of real-life physical activity for patients with DTD, with the first age- and sex-adjusted standard scores to enable clinicians and researchers to set treatment goals and directly compare activity levels between individual patients with DTD and normal controls

    Gait features for discriminating between mobility-limiting musculoskeletal disorders: Lumbar spinal stenosis and knee osteoarthritis

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    Background: Functional ambulation limitations are features of lumbar spinal stenosis (LSS) and knee osteoarthritis (OA). With numerous validated walking assessment protocols and a vast number of spatiotemporal gait parameters available from sensor-based assessment, there is a critical need for selection of appropriate test protocols and variables for research and clinical applications. Research question: In patients with knee OA and LSS, what are the best sensor-derived gait parameters and the most suitable clinical walking test to discriminate between these patient populations and controls?Methods: We collected foot-mounted inertial measurement unit (IMU) data during three walking tests (fast-paced walk test-FPWT, 6-min walk test-6MWT, self-paced walk test-SPWT) for subjects with LSS, knee OA and matched controls (N = 10 for each group). Spatiotemporal gait characteristics were extracted and pairwise compared (Omega partial squared - omega(2)(p)) between patients and controls.Results: We found that normal paced walking tests (6MWT, SPWT) are better suited for distinguishing gait characteristics between patients and controls. Among the sensor-based gait parameters, stance and double support phase timing were identified as the best gait characteristics for the OA population discrimination, whereas foot flat ratio, gait speed, stride length and cadence were identified as the best gait characteristics for the LSS population discrimination.Significance: These findings provide guidance on the selection of sensor-derived gait parameters and clinical walking tests to detect alterations in mobility for people with LSS and knee OA
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