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CompletedNCT05570656TELESPAUpdated Jun 12, 2026

Modeling Spinal Mobility in Ankylosing Spondylitis: Towards New Telekinetic Biomarkers

An interventional study of XSENS-Awinda in Ankylosing Spondylitis, sponsored by University Hospital, Montpellier. Completed at 1 site in France. Open to participants aged 18 Years to 65 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-12.

Sponsored by University Hospital, Montpellier · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Non-randomized
Ages
18 Years to 65 Years
Sex
All
01

Study summary

Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease that mainly affects the spine and pelvis in its axial form. It is responsible for chronic inflammatory pain and sometimes ankylosis with significant functional retention.

Clinicians need markers capable of precisely measuring the restriction of range of motion in these patients, reflections of the activity and/or sequelae of the disease.

The Inverstigators validated movement markers in the AS by a device including inertial sensors (XSENS) and computer modeling. The accuracy and repeatability of the XSENS-Awinda system compared to the reference measurement system have been demonstrated. The XSENS-Awinda device offers new real-time evaluation possibilities for quantitative gait analysis. This opens the way to new diagnostic tools, prognostics and therapeutic perspectives for the clinician.

Read the detailed description

Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease that mainly affects the spine and pelvis in its axial form. It is responsible for chronic inflammatory pain and sometimes ankylosis with significant functional retention. Today, these patients benefit from treatments by biotherapy but the functional monitoring of the therapeutic response is based on the clinical examination, questionnaires, and the measurement of CRP (C reactive Protein).

Clinicians need markers capable of precisely measuring the restriction of range of motion in these patients, reflections of the activity and/or sequelae of the disease. The prevention and/or the restoration of these movement limitations, responsible for gait/attitude/balance disorders, are also among the therapeutic objectives of AS.

In the AS, the synergy between the trunk and the lower limbs is altered with a restriction of the movements of the trunk in the three planes of space. The study of the kinematic variability seems to show a loss of complexity. In addition, MRI morphological examinations are insufficient to assess stiffness and functional disability related to AS.

The investigators validated movement markers in the AS by a device including inertial sensors (XSENS) and computer modeling. The accuracy and repeatability of the XSENS-Awinda system compared to the reference measurement system have been demonstrated. The XSENS-Awinda device offers new real-time evaluation possibilities for quantitative gait analysis. This opens the way to new diagnostic tools, prognostics and therapeutic perspectives for the clinician.

02

Conditions studied

  • Ankylosing Spondylitis

Keywords

  • rheumatology
  • Rehabilitation
  • Bioinformatics
  • Spondylitis
  • Motion sensor
  • XSENS-Awinda
03

In context

Spondylitis, Ankylosing

498 studies on the registry are indexed under Spondylitis, Ankylosing; 89 are open to participants now.

This study's enrollment of 40 is below the median of 84 across 275 interventional studies indexed under Spondylitis, Ankylosing.

Browse Spondylitis, Ankylosing studies →

Lead sponsor

University Hospital, Montpellier is the lead sponsor of 1,244 studies on the registry; 225 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Eligibility criteria

Inclusion Criteria:

  • Age 18-65
  • BMI between 18.5 and 30
  • Written informed consent
  • Same gender and age within +/- 3 years compared to an unmatched AS patient

Inclusion criteria specific to the AS group:

  • Age 18-65
  • BMI between 18.5 and 30
  • Written informed consent
  • AS meeting the ASAS (Assessment of Spondylo Arthritis International Society) criteria, i.e. with spinal pain ≥ 3 months old, with an age of diagnosis \< 45 years, with:

    • Sacroiliitis on imaging AND ≥ 1 sign of spondylarthritis. OR
    • HLA-B27 (human leukocyte antigen-B27) positive AND ≥ 2 other signs of spondylarthritis

Exclusion Criteria:

  • Traumatic, tumoral or infectious low back pain
  • History of spinal fracture
  • History of lumbar, pelvis, hips, ankles, and/or knees surgery
  • Severe scoliosis defined by a Cobb angle > 50°
  • Severe impairment of uncorrected visual acuity
  • Concomitant pathology responsible for ataxia
  • Lumbar arthrodesis of two or more stages
  • Pregnant or breastfeeding women
  • Patient unable to give consent: patient under guardianship or curators, mentally retarded, dementia, language barrier
  • Patient not affiliated to a social security plan
  • Patient under legal protection
05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
40 participants (actual)

Study arms

  • Active comparator
    AS patients

    Evaluation of kinematic parameters by wearing X-Sens sensors in different movements (flexion and extension of the spine, tying shoelaces, picking up an object on the ground, walking, etc.)

    Device: XSENS-Awinda

  • Active comparator
    healthy volunteers

    Evaluation of kinematic parameters by wearing X-Sens sensors in different movements (flexion and extension of the spine, tying shoelaces, picking up an object on the ground, walking, etc.)

    Device: XSENS-Awinda

Interventions

  • DeviceXSENS-Awinda

    The participant wears inertial sensors X-Sens that measure the kinematic data and the amplitude of joint movements during different movements (flexion and extension of the spine, walking, picking up an object on the ground, tying their shoelaces, getting up from a chair... ) Each movement will be repeated 3 times. Participants will also have self-questionnaires to complete (BASDAI and BASFI). The exams are carried out on one day.

06

What researchers measure

Primary outcomes

  1. Variation in spinal angle measurement between APS patients and healthy volunteers

    Assess the diagnostic performance of angular measurement in the sagittal plane during flexion and extension of the spine in the diagnosis of AS. spinal angle measurement (in degrees) for both APS patients and healthy volunteers will be compared using a Student's test or Wilcoxon Mann Whitney test depending on the distribution. The diagnostic performances of the different kinematic parameters will be estimated in percentage (%) with their 95% confidence interval.

    Time frame: 1 day

Secondary outcomes

  1. Percentage of AS activity by BASDAI score

    The BASDAI (Bath Ankylosing Spondylitis Disease Activity Index) is a questionnaire to calculate the activity index of ankylosing spondylitis. Rate the intensity of 5 symptoms during the past week, giving a score from 0 to 10, knowing that 0 means the absence of the symptom and 10 its presence at the highest degree. This score is an aid in monitoring ankylosing spondylitis.

    Time frame: 1 day

  2. Percentage of functional impact of the AS by BASFI score

    The BASFI (Bath ankylosing spondylitis functional index) reflects functional impact, that is to say the inability to perform actions of daily living. It contains 10 questions on activities of daily living, which are scored with a rating scale from 0 (no functional impairments) to 10 (maximal impairment) \[38\] (Box 5.2). The sum score ranges from 0 to 10, with higher values indicating worse functioning.

    Time frame: 1 day

  3. Percentage of functional impact of the AS by BASMI score

    The BASMI (Bath Ankylosing Spondylitis Metrology Index) was established to assess the mobility of the spine and hips. It measures : * the ear/wall distance * head rotation * flexion of the trunk * trunk flexion to the side * the distance between the internal malleolus (at the ankles) during the maximum spread of the legs A conversion table allows investigators to give a rating from 0 to 10 for each measurement. The average of the 5 ratings gives the BASMI. It varies from 0 to 10 and the higher the rating, the more limited the movements.

    Time frame: 1 day

  4. Variation of kinematic parameters of movement between BASFI and sensors

    Describe the kinematic parameters of the movements evaluated in the BASFI score through the X Sens sensors. Clinical parameters are : 10 questions on activities of daily living, which are scored with a rating scale from 0 (no functional impairments) to 10 (maximal impairment) Kinematic parameters measured with the X sens sensors are : * Maximum bending, flexion and rotation angle (degrees) * Time up and Go (TUG) ( seconds) To establish the correlation between the clinical parameters and the kinematic parameters the investigators will use Spearman or Pearson correlation tests.

    Time frame: 1 day

  5. percentage of diagnosis concordant between the kinematic parameters of the spine and the diagnosis of AS

    Evaluate the diagnostic performance of other kinematic parameters of the spine in the diagnosis of AS.

    Time frame: 1 day

  6. percentage of diagnosis concordant between the kinematic parameters of the lower limb joints and the diagnosis of AS

    Evaluate the diagnostic performance of other kinematic parameters of lower limb joints in the diagnosis of AS.

    Time frame: 1 day

  7. percentage of correlation between clinical and kinematic parameters

    establishing the correlation between clinical parameters and kinematic parameters

    Time frame: 1 day

07

Study locations

1 site
  • Centre Hospitalier Universitaire de Montpellier
    Montpellier, France 34295, France
08

References and documents

Publications

  • Raychaudhuri SP, Deodhar A. The classification and diagnostic criteria of ankylosing spondylitis. J Autoimmun. 2014 Feb-Mar;48-49:128-33. doi: 10.1016/j.jaut.2014.01.015. Epub 2014 Feb 16. PubMed 24534717 ↗
  • Dougados M, Sepriano A, Molto A, van Lunteren M, Ramiro S, de Hooge M, van den Berg R, Navarro Compan V, Demattei C, Landewe R, van der Heijde D. Sacroiliac radiographic progression in recent onset axial spondyloarthritis: the 5-year data of the DESIR cohort. Ann Rheum Dis. 2017 Nov;76(11):1823-1828. doi: 10.1136/annrheumdis-2017-211596. Epub 2017 Jul 6. PubMed 28684556 ↗
  • Wang R, Ward MM. Epidemiology of axial spondyloarthritis: an update. Curr Opin Rheumatol. 2018 Mar;30(2):137-143. doi: 10.1097/BOR.0000000000000475. PubMed 29227352 ↗
  • Costantino F, Talpin A, Said-Nahal R, Goldberg M, Henny J, Chiocchia G, Garchon HJ, Zins M, Breban M. Prevalence of spondyloarthritis in reference to HLA-B27 in the French population: results of the GAZEL cohort. Ann Rheum Dis. 2015 Apr;74(4):689-93. doi: 10.1136/annrheumdis-2013-204436. Epub 2013 Dec 18. PubMed 24351517 ↗
  • van der Heijde D, Ramiro S, Landewe R, Baraliakos X, Van den Bosch F, Sepriano A, Regel A, Ciurea A, Dagfinrud H, Dougados M, van Gaalen F, Geher P, van der Horst-Bruinsma I, Inman RD, Jongkees M, Kiltz U, Kvien TK, Machado PM, Marzo-Ortega H, Molto A, Navarro-Compan V, Ozgocmen S, Pimentel-Santos FM, Reveille J, Rudwaleit M, Sieper J, Sampaio-Barros P, Wiek D, Braun J. 2016 update of the ASAS-EULAR management recommendations for axial spondyloarthritis. Ann Rheum Dis. 2017 Jun;76(6):978-991. doi: 10.1136/annrheumdis-2016-210770. Epub 2017 Jan 13. PubMed 28087505 ↗
  • Dagfinrud H, Kvien TK, Hagen KB. Physiotherapy interventions for ankylosing spondylitis. Cochrane Database Syst Rev. 2008 Jan 23;2008(1):CD002822. doi: 10.1002/14651858.CD002822.pub3. PubMed 18254008 ↗
  • Zochling J. Measures of symptoms and disease status in ankylosing spondylitis: Ankylosing Spondylitis Disease Activity Score (ASDAS), Ankylosing Spondylitis Quality of Life Scale (ASQoL), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI), Bath Ankylosing Spondylitis Global Score (BAS-G), Bath Ankylosing Spondylitis Metrology Index (BASMI), Dougados Functional Index (DFI), and Health Assessment Questionnaire for the Spondylarthropathies (HAQ-S). Arthritis Care Res (Hoboken). 2011 Nov;63 Suppl 11:S47-58. doi: 10.1002/acr.20575. No abstract available. PubMed 22588768 ↗
  • Soulard J, Vaillant J, Agier CT, Vuillerme N. Gait characteristics in patients with ankylosing spondylitis: a systematic review. Clin Exp Rheumatol. 2021 Jan-Feb;39(1):173-186. doi: 10.55563/clinexprheumatol/le3bmj. Epub 2020 Oct 5. PubMed 33025884 ↗
  • Sawacha Z, Carraro E, Del Din S, Guiotto A, Bonaldo L, Punzi L, Cobelli C, Masiero S. Biomechanical assessment of balance and posture in subjects with ankylosing spondylitis. J Neuroeng Rehabil. 2012 Aug 29;9:63. doi: 10.1186/1743-0003-9-63. PubMed 22931459 ↗
  • Del Din S, Carraro E, Sawacha Z, Guiotto A, Bonaldo L, Masiero S, Cobelli C. Impaired gait in ankylosing spondylitis. Med Biol Eng Comput. 2011 Jul;49(7):801-9. doi: 10.1007/s11517-010-0731-x. Epub 2011 Jan 13. PubMed 21229328 ↗
  • Robert-Lachaine X, Mecheri H, Larue C, Plamondon A. Accuracy and repeatability of single-pose calibration of inertial measurement units for whole-body motion analysis. Gait Posture. 2017 May;54:80-86. doi: 10.1016/j.gaitpost.2017.02.029. Epub 2017 Mar 1. PubMed 28279850 ↗
  • Iosa M, Picerno P, Paolucci S, Morone G. Wearable inertial sensors for human movement analysis. Expert Rev Med Devices. 2016 Jul;13(7):641-59. doi: 10.1080/17434440.2016.1198694. Epub 2016 Jun 17. PubMed 27309490 ↗
  • Desmyttere G, Ralandison S, Dusfour G, Moulis L, Amico M, Julia M, Pers YM, Jorgensen C. A combined analysis of spinal mobility and gait spatiotemporal parameters in axial spondyloarthritis using wearable sensors. Clin Biomech (Bristol). 2025 Jun;126:106555. doi: 10.1016/j.clinbiomech.2025.106555. Epub 2025 May 7. PubMed 40359639 ↗

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 12, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05570656
Lead sponsor
University Hospital, Montpellier
Responsible party
Sponsor
First posted
Oct 6, 2022
Start date
Dec 13, 2022
Primary completion
Sep 14, 2023
Completion
Sep 14, 2023
Last update
Jun 12, 2026

Study contacts

Christian JORGENSEN, PU-PH
principal investigator · UF of Montpellier

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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