<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT03761212</url>
  </required_header>
  <id_info>
    <org_study_id>38RC17.158.</org_study_id>
    <nct_id>NCT03761212</nct_id>
  </id_info>
  <brief_title>Function, Locomotion, Measurement and Inflammation</brief_title>
  <acronym>FoLoMI</acronym>
  <official_title>Gait Parameters as Predictors of Functional and Activity Scores in Ankylosing Spondylitis : the FoLoMI Study</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>University Hospital, Grenoble</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>University Hospital, Grenoble</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      FoLoMI is a pilot study in which the investigators will seek to determine if gait&#xD;
      spatio-temporal and kinematic parameters can explain the evolution of a functional score, the&#xD;
      Bath Ankylosing Spondylitis Functional Index (BASFI), at 18 months.&#xD;
&#xD;
      The secondary objectives are: (1) to study the relationship between gait parameters measured&#xD;
      at T0 and the BASFI at T0, (2) to study the relationship between gait parameters at T0 and&#xD;
      the BASDAI at T0, (3) to assess general state of health of the patients and its evolution by&#xD;
      appreciating: level of physical activity, state of fatigue, diurnal sleepiness and quality of&#xD;
      life, and (4) to compare spatio-temporal gait parameters between patients and healthy&#xD;
      controls.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      This longitudinal cohort study is aiming to follow 60 persons with ankylosing spondylitis&#xD;
      during 18 months. Assessments will be conducted at baseline and every 6 months.&#xD;
&#xD;
      An healthy control group of 30 persons will be included and age and sex matched to the first&#xD;
      30 patients.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date type="Actual">August 13, 2018</start_date>
  <completion_date type="Actual">February 10, 2022</completion_date>
  <primary_completion_date type="Actual">February 10, 2022</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Prospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Gait speed</measure>
    <time_frame>Baseline : Day 0</time_frame>
    <description>Mean gait speed (m/s) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Stride time</measure>
    <time_frame>Baseline : Day 0</time_frame>
    <description>Mean stride time (s) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Stride length</measure>
    <time_frame>Baseline : Day 0</time_frame>
    <description>Mean stride length (m) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Double support time</measure>
    <time_frame>Baseline : Day 0</time_frame>
    <description>Double support time (%) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>Stance time</measure>
    <time_frame>Baseline : Day 0</time_frame>
    <description>Stance time (%) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.</description>
  </primary_outcome>
  <primary_outcome>
    <measure>The Bath Ankylosing Spondylitis Functional Index (BASFI)</measure>
    <time_frame>18 months</time_frame>
    <description>The self-administered Bath Ankylosing Functional Index (BASFI) measures functional consequences of ankylosing spondylitis (AS). The patient indicates its level of ability in ten domains of daily life: put the socks, bend to pick a pen from the floor, reach up to a high shelf, get up from a chair and from the floor, stand unsupported for 10 minutes, climb steps, look over the shoulder, do physically demanding activities and do a full days activities. Each question is answered on a 10 cm horizontal visual analog scale, the mean of which gives the BASFI score (0-10). Higher is the score, higher are the functional consequences of AS.</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Evolution of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI)</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>The self-administered Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) measures disease activity. Six 10 cm horizontal visual analog scales are used to measure severity of fatigue, spinal and peripheral joint pain, localized tenderness and morning stiffness (qualitative and quantitative). The final BASDAI score has a range from 0 to 10, with higher scores meaning higher activity of the disease.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of the Bath Ankylosing Spondylitis Functional Index (BASFI)</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>The self-administered Bath Ankylosing Functional Index (BASFI) measures functional consequences of ankylosing spondylitis (AS). The patient indicates its level of ability in ten domains of daily life: put the socks, bend to pick a pen from the floor, reach up to a high shelf, get up from a chair and from the floor, stand unsupported for 10 minutes, climb steps, look over the shoulder, do physically demanding activities and do a full days activities. Each question is answered on a 10 cm horizontal visual analog scale, the mean of which gives the BASFI score (0-10). Higher is the score, higher are the functional consequences of AS.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of gait pattern</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Gait pattern will be captured by Physilog sensors (Gait Up ®) and Opal sensors (APDM®) during a 10-m walk test in single and dual task, the iTUG and the i6MWT.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of physical activity</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Patients will fill in the self-assessment questionnaire: International Physical Activity Questionnaires (IPAQ) to measure health-related physical activity. Data will be summarized according to each physical activity domain (walking, moderate and vigorous activities) and estimated time spend sitting per week. Then data will be used to estimate Metabolic Equivalent of Task (MET) energy expenditure assigned to each category.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of quality of life</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Patients will fill in the self-assessment questionnaire: Short Form-36 (SF-36) to measure quality of life. Eight domains will be assessed : physical activity, daily life limitations, physical pain, health, social life, psychological health, psychological limitations, health evolution.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of daytime sleepiness</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Patients will fill in the self-assessment questionnaire: Epworth score for evaluation of daytime sleepiness. Patients wil rate the chances that they would doze off or fall asleep while in eight different situations, from no chance to doze or sleep (0) to strong chance to sleep (3).</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of tiredness</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Patients will fill in the self-assessment questionnaire: Pichot score for evaluation of daytime tiredness. This scale assess the importance of tiredness to carry out daily activities.Patients rate how the eight proposals correspond to their feeling, from not at all (0) to extremely (4).</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of lower limbs range of motion assessments</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Lower limb range of motion will be assessed using a goniometer in each joint.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of foot function</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>Foot function will be assessed with the validated and commonly used Foot Function Index. Participants will rate 0 to 10 on a numeric scale, in 3 domains concerning feet, i.e. pain, disability and activity restriction. The score is out of 230 and translated out of 100. Higher scores are related to worse outcome.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of six minute walk distance</measure>
    <time_frame>From day 0 to 18-months</time_frame>
    <description>The instrumented six minute walk test (i6MWT) will be performed in a 30-m corridor.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of time to realize instrumented Timed Up and Go (iTUG)</measure>
    <time_frame>From day 0 to 18-month</time_frame>
    <description>Patients will performed the iTUG : they have to stand up from a chair, walk 7 meters, turn and go back to the chair, as fast as possible</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of work impairment</measure>
    <time_frame>From day 0 to 18-month</time_frame>
    <description>The validated Work Productivity and Activity Impairment scale (WPAI) will be assessed to evaluate absenteeism, presenteeism, overall work productivity loss and activity impairment. WPAI outcomes are expressed as impairment percentages, with higher numbers indicating greater impairment and less productivity, i.e., worse outcomes.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of smoking status</measure>
    <time_frame>From day 0 to 18-month</time_frame>
    <description>Smoking status will be assessed with the calculation of number of pack-year smoked. It is calculated by multiplying the number of packs of cigarettes smoked per day by the number of years the person has smoked.</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of nicotine dependence</measure>
    <time_frame>From day 0 to 18-month</time_frame>
    <description>Smoking status will be assessed with the validated and commonly used Fagerström index, giving a score from 0 to 10, with high scores related to high dependence</description>
  </secondary_outcome>
  <secondary_outcome>
    <measure>Evolution of social support</measure>
    <time_frame>From day 0 to 18-month</time_frame>
    <description>Social support will be assessed with the validated and commonly used Medical Outcome Study (MOS) Social Support Survey in French. The survey consists of four separate social support subscales and an overall functional social support index. A higher score for an individual scale or for the overall support index indicates more support.</description>
  </secondary_outcome>
  <number_of_groups>2</number_of_groups>
  <enrollment type="Actual">90</enrollment>
  <condition>Ankylosing Spondylitis</condition>
  <arm_group>
    <arm_group_label>Patient with ankylosing spondylitis or axial spondyloarthritis</arm_group_label>
    <description>No intervention - observational study</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Healthy controls</arm_group_label>
    <description>Age and sex matched healthy controls</description>
  </arm_group>
  <eligibility>
    <study_pop>
      <textblock>
        Patient with Ankylosing Spondylitis or Axial Spondyloarthritis at any stage of disease&#xD;
        evolution followed at the Rhumatology unit of Grenoble Hospital&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  Ankylosing spondylitis or Axial Spondyloarthritis patient&#xD;
&#xD;
          -  Patient able to walk at least 180 meters without technical help&#xD;
&#xD;
          -  Stable treatment for 3 months&#xD;
&#xD;
          -  Affiliated to a social security system&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  Concomitant musculo-skeletal disease&#xD;
&#xD;
          -  Cardio-respiratory disease with an impact on locomotion&#xD;
&#xD;
          -  Hips, ankle or knee arthroplasty (scheduled or done within 18 months)&#xD;
&#xD;
          -  No french understanding&#xD;
&#xD;
          -  Central or peripheric neurologic disease&#xD;
&#xD;
          -  Other disease with impact on posture, locomotion or prehension&#xD;
&#xD;
          -  Quickly evolutive disease (less than 12 month life expectancy)&#xD;
&#xD;
          -  Chemotherapy or radiotherapy ongoing&#xD;
&#xD;
          -  Patient who live more than 50 km away from Grenoble Hospital&#xD;
&#xD;
          -  Willing of pregnancy within 18 months&#xD;
&#xD;
          -  People protected by law (Article L1121.5 of Public Health Code)&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>65 Years</maximum_age>
    <healthy_volunteers>No</healthy_volunteers>
  </eligibility>
  <location>
    <facility>
      <name>CHU Grenoble Alpes - hôpital sud</name>
      <address>
        <city>Échirolles</city>
        <zip>38100</zip>
        <country>France</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>France</country>
  </location_countries>
  <reference>
    <citation>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.</citation>
    <PMID>22588768</PMID>
  </reference>
  <reference>
    <citation>Auvinet B, Chaleil D, Cabane J, Dumolard A, Hatron P, Juvin R, Lanteri-Minet M, Mainguy Y, Negre-Pages L, Pillard F, Riviere D, Maugars YM. The interest of gait markers in the identification of subgroups among fibromyalgia patients. BMC Musculoskelet Disord. 2011 Nov 11;12:258. doi: 10.1186/1471-2474-12-258.</citation>
    <PMID>22078002</PMID>
  </reference>
  <reference>
    <citation>Viccaro LJ, Perera S, Studenski SA. Is timed up and go better than gait speed in predicting health, function, and falls in older adults? J Am Geriatr Soc. 2011 May;59(5):887-92. doi: 10.1111/j.1532-5415.2011.03336.x. Epub 2011 Mar 15.</citation>
    <PMID>21410448</PMID>
  </reference>
  <reference>
    <citation>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.</citation>
    <PMID>21229328</PMID>
  </reference>
  <reference>
    <citation>Verweij NM, Schiphorst AH, Pronk A, van den Bos F, Hamaker ME. Physical performance measures for predicting outcome in cancer patients: a systematic review. Acta Oncol. 2016 Dec;55(12):1386-1391. doi: 10.1080/0284186X.2016.1219047. Epub 2016 Oct 8.</citation>
    <PMID>27718777</PMID>
  </reference>
  <reference>
    <citation>Zebouni L, Helliwell PS, Howe A, Wright V. Gait analysis in ankylosing spondylitis. Ann Rheum Dis. 1992 Jul;51(7):898-9. doi: 10.1136/ard.51.7.898.</citation>
    <PMID>1632666</PMID>
  </reference>
  <reference>
    <citation>Mangone M, Scettri P, Paoloni M, Procaccianti R, Spadaro A, Santilli V. Pelvis-shoulder coordination during level walking in patients with ankylosing spondylitis. Gait Posture. 2011 May;34(1):1-5. doi: 10.1016/j.gaitpost.2011.02.002. Epub 2011 Mar 4.</citation>
    <PMID>21377366</PMID>
  </reference>
  <results_reference>
    <citation>Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. The effects of a secondary task on gait in axial spondyloarthritis. Sci Rep. 2021 Oct 1;11(1):19537. doi: 10.1038/s41598-021-98732-z.</citation>
    <PMID>34599222</PMID>
  </results_reference>
  <results_reference>
    <citation>Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors. JMIR Mhealth Uhealth. 2021 Nov 9;9(11):e27087. doi: 10.2196/27087.</citation>
    <PMID>34751663</PMID>
  </results_reference>
  <results_reference>
    <citation>Soulard J, Vaillant J, Balaguier R, Vuillerme N. Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions. Sci Rep. 2021 May 13;11(1):10229. doi: 10.1038/s41598-021-88794-4.</citation>
    <PMID>33986307</PMID>
  </results_reference>
  <results_reference>
    <citation>Soulard J, Vaillant J, Balaguier R, Baillet A, Gaudin P, Vuillerme N. Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis. Sensors (Basel). 2020 Nov 12;20(22):6453. doi: 10.3390/s20226453.</citation>
    <PMID>33198119</PMID>
  </results_reference>
  <results_reference>
    <citation>Soulard J, Vuillerme N, Gaudin P, Grange L, Baillet A, Cracowski JL, Juvin R, Vaillant J. Gait as predictor of physical function in axial spondyloarthritis: the prospective longitudinal FOLOMI (Function, Locomotion, Measurement, Inflammation) study protocol. Rheumatol Int. 2019 Oct;39(10):1681-1688. doi: 10.1007/s00296-019-04396-4. Epub 2019 Aug 7.</citation>
    <PMID>31392500</PMID>
  </results_reference>
  <verification_date>November 2022</verification_date>
  <study_first_submitted>July 19, 2018</study_first_submitted>
  <study_first_submitted_qc>November 29, 2018</study_first_submitted_qc>
  <study_first_posted type="Actual">December 3, 2018</study_first_posted>
  <last_update_submitted>November 18, 2022</last_update_submitted>
  <last_update_submitted_qc>November 18, 2022</last_update_submitted_qc>
  <last_update_posted type="Actual">November 23, 2022</last_update_posted>
  <responsible_party>
    <responsible_party_type>Sponsor</responsible_party_type>
  </responsible_party>
  <keyword>Ankylosing spondylitis</keyword>
  <keyword>Gait</keyword>
  <keyword>BASFI</keyword>
  <keyword>BASDAI</keyword>
  <keyword>6MWT</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Spondylitis</mesh_term>
    <mesh_term>Spondylarthritis</mesh_term>
    <mesh_term>Spondylitis, Ankylosing</mesh_term>
  </condition_browse>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT03761212
org study id: 38RC17.158.
nct id: NCT03761212
lead sponsor: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
FoLoMI is a pilot study in which the investigators will seek to determine if gait
      spatio-temporal and kinematic parameters can explain the evolution of a functional score, the
      Bath Ankylosing Spondylitis Functional Index (BASFI), at 18 months.

      The secondary objectives are: (1) to study the relationship between gait parameters measured
      at T0 and the BASFI at T0, (2) to study the relationship between gait parameters at T0 and
      the BASDAI at T0, (3) to assess general state of health of the patients and its evolution by
      appreciating: level of physical activity, state of fatigue, diurnal sleepiness and quality of
      life, and (4) to compare spatio-temporal gait parameters between patients and healthy
      controls.
This longitudinal cohort study is aiming to follow 60 persons with ankylosing spondylitis
      during 18 months. Assessments will be conducted at baseline and every 6 months.

      An healthy control group of 30 persons will be included and age and sex matched to the first
      30 patients.
observational model: Cohort
time perspective: Prospective
measure: Gait speed
time frame: Baseline : Day 0
description: Mean gait speed (m/s) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.
measure: Stride time
time frame: Baseline : Day 0
description: Mean stride time (s) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.
measure: Stride length
time frame: Baseline : Day 0
description: Mean stride length (m) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.
measure: Double support time
time frame: Baseline : Day 0
description: Double support time (%) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.
measure: Stance time
time frame: Baseline : Day 0
description: Stance time (%) will be assessed during a 10-m walk test at comfortable speed, under single and dual task, and its coefficient of variation calculate.
measure: The Bath Ankylosing Spondylitis Functional Index (BASFI)
time frame: 18 months
description: The self-administered Bath Ankylosing Functional Index (BASFI) measures functional consequences of ankylosing spondylitis (AS). The patient indicates its level of ability in ten domains of daily life: put the socks, bend to pick a pen from the floor, reach up to a high shelf, get up from a chair and from the floor, stand unsupported for 10 minutes, climb steps, look over the shoulder, do physically demanding activities and do a full days activities. Each question is answered on a 10 cm horizontal visual analog scale, the mean of which gives the BASFI score (0-10). Higher is the score, higher are the functional consequences of AS.
measure: Evolution of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI)
time frame: From day 0 to 18-months
description: The self-administered Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) measures disease activity. Six 10 cm horizontal visual analog scales are used to measure severity of fatigue, spinal and peripheral joint pain, localized tenderness and morning stiffness (qualitative and quantitative). The final BASDAI score has a range from 0 to 10, with higher scores meaning higher activity of the disease.
measure: Evolution of the Bath Ankylosing Spondylitis Functional Index (BASFI)
time frame: From day 0 to 18-months
description: The self-administered Bath Ankylosing Functional Index (BASFI) measures functional consequences of ankylosing spondylitis (AS). The patient indicates its level of ability in ten domains of daily life: put the socks, bend to pick a pen from the floor, reach up to a high shelf, get up from a chair and from the floor, stand unsupported for 10 minutes, climb steps, look over the shoulder, do physically demanding activities and do a full days activities. Each question is answered on a 10 cm horizontal visual analog scale, the mean of which gives the BASFI score (0-10). Higher is the score, higher are the functional consequences of AS.
measure: Evolution of gait pattern
time frame: From day 0 to 18-months
description: Gait pattern will be captured by Physilog sensors (Gait Up ®) and Opal sensors (APDM®) during a 10-m walk test in single and dual task, the iTUG and the i6MWT.
measure: Evolution of physical activity
time frame: From day 0 to 18-months
description: Patients will fill in the self-assessment questionnaire: International Physical Activity Questionnaires (IPAQ) to measure health-related physical activity. Data will be summarized according to each physical activity domain (walking, moderate and vigorous activities) and estimated time spend sitting per week. Then data will be used to estimate Metabolic Equivalent of Task (MET) energy expenditure assigned to each category.
measure: Evolution of quality of life
time frame: From day 0 to 18-months
description: Patients will fill in the self-assessment questionnaire: Short Form-36 (SF-36) to measure quality of life. Eight domains will be assessed : physical activity, daily life limitations, physical pain, health, social life, psychological health, psychological limitations, health evolution.
measure: Evolution of daytime sleepiness
time frame: From day 0 to 18-months
description: Patients will fill in the self-assessment questionnaire: Epworth score for evaluation of daytime sleepiness. Patients wil rate the chances that they would doze off or fall asleep while in eight different situations, from no chance to doze or sleep (0) to strong chance to sleep (3).
measure: Evolution of tiredness
time frame: From day 0 to 18-months
description: Patients will fill in the self-assessment questionnaire: Pichot score for evaluation of daytime tiredness. This scale assess the importance of tiredness to carry out daily activities.Patients rate how the eight proposals correspond to their feeling, from not at all (0) to extremely (4).
measure: Evolution of lower limbs range of motion assessments
time frame: From day 0 to 18-months
description: Lower limb range of motion will be assessed using a goniometer in each joint.
measure: Evolution of foot function
time frame: From day 0 to 18-months
description: Foot function will be assessed with the validated and commonly used Foot Function Index. Participants will rate 0 to 10 on a numeric scale, in 3 domains concerning feet, i.e. pain, disability and activity restriction. The score is out of 230 and translated out of 100. Higher scores are related to worse outcome.
measure: Evolution of six minute walk distance
time frame: From day 0 to 18-months
description: The instrumented six minute walk test (i6MWT) will be performed in a 30-m corridor.
measure: Evolution of time to realize instrumented Timed Up and Go (iTUG)
time frame: From day 0 to 18-month
description: Patients will performed the iTUG : they have to stand up from a chair, walk 7 meters, turn and go back to the chair, as fast as possible
measure: Evolution of work impairment
time frame: From day 0 to 18-month
description: The validated Work Productivity and Activity Impairment scale (WPAI) will be assessed to evaluate absenteeism, presenteeism, overall work productivity loss and activity impairment. WPAI outcomes are expressed as impairment percentages, with higher numbers indicating greater impairment and less productivity, i.e., worse outcomes.
measure: Evolution of smoking status
time frame: From day 0 to 18-month
description: Smoking status will be assessed with the calculation of number of pack-year smoked. It is calculated by multiplying the number of packs of cigarettes smoked per day by the number of years the person has smoked.
measure: Evolution of nicotine dependence
time frame: From day 0 to 18-month
description: Smoking status will be assessed with the validated and commonly used Fagerström index, giving a score from 0 to 10, with high scores related to high dependence
measure: Evolution of social support
time frame: From day 0 to 18-month
description: Social support will be assessed with the validated and commonly used Medical Outcome Study (MOS) Social Support Survey in French. The survey consists of four separate social support subscales and an overall functional social support index. A higher score for an individual scale or for the overall support index indicates more support.
arm group label: Patient with ankylosing spondylitis or axial spondyloarthritis
description: No intervention - observational study
arm group label: Healthy controls
description: Age and sex matched healthy controls
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: 65 Years
healthy volunteers: No
facility: 
country: France
citation: 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.
PMID: 22588768
citation: Auvinet B, Chaleil D, Cabane J, Dumolard A, Hatron P, Juvin R, Lanteri-Minet M, Mainguy Y, Negre-Pages L, Pillard F, Riviere D, Maugars YM. The interest of gait markers in the identification of subgroups among fibromyalgia patients. BMC Musculoskelet Disord. 2011 Nov 11;12:258. doi: 10.1186/1471-2474-12-258.
PMID: 22078002
citation: Viccaro LJ, Perera S, Studenski SA. Is timed up and go better than gait speed in predicting health, function, and falls in older adults? J Am Geriatr Soc. 2011 May;59(5):887-92. doi: 10.1111/j.1532-5415.2011.03336.x. Epub 2011 Mar 15.
PMID: 21410448
citation: 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.
PMID: 21229328
citation: Verweij NM, Schiphorst AH, Pronk A, van den Bos F, Hamaker ME. Physical performance measures for predicting outcome in cancer patients: a systematic review. Acta Oncol. 2016 Dec;55(12):1386-1391. doi: 10.1080/0284186X.2016.1219047. Epub 2016 Oct 8.
PMID: 27718777
citation: Zebouni L, Helliwell PS, Howe A, Wright V. Gait analysis in ankylosing spondylitis. Ann Rheum Dis. 1992 Jul;51(7):898-9. doi: 10.1136/ard.51.7.898.
PMID: 1632666
citation: Mangone M, Scettri P, Paoloni M, Procaccianti R, Spadaro A, Santilli V. Pelvis-shoulder coordination during level walking in patients with ankylosing spondylitis. Gait Posture. 2011 May;34(1):1-5. doi: 10.1016/j.gaitpost.2011.02.002. Epub 2011 Mar 4.
PMID: 21377366
citation: Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. The effects of a secondary task on gait in axial spondyloarthritis. Sci Rep. 2021 Oct 1;11(1):19537. doi: 10.1038/s41598-021-98732-z.
PMID: 34599222
citation: Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors. JMIR Mhealth Uhealth. 2021 Nov 9;9(11):e27087. doi: 10.2196/27087.
PMID: 34751663
citation: Soulard J, Vaillant J, Balaguier R, Vuillerme N. Spatio-temporal gait parameters obtained from foot-worn inertial sensors are reliable in healthy adults in single- and dual-task conditions. Sci Rep. 2021 May 13;11(1):10229. doi: 10.1038/s41598-021-88794-4.
PMID: 33986307
citation: Soulard J, Vaillant J, Balaguier R, Baillet A, Gaudin P, Vuillerme N. Foot-Worn Inertial Sensors Are Reliable to Assess Spatiotemporal Gait Parameters in Axial Spondyloarthritis under Single and Dual Task Walking in Axial Spondyloarthritis. Sensors (Basel). 2020 Nov 12;20(22):6453. doi: 10.3390/s20226453.
PMID: 33198119
citation: Soulard J, Vuillerme N, Gaudin P, Grange L, Baillet A, Cracowski JL, Juvin R, Vaillant J. Gait as predictor of physical function in axial spondyloarthritis: the prospective longitudinal FOLOMI (Function, Locomotion, Measurement, Inflammation) study protocol. Rheumatol Int. 2019 Oct;39(10):1681-1688. doi: 10.1007/s00296-019-04396-4. Epub 2019 Aug 7.
PMID: 31392500
responsible party type: Sponsor
mesh term: Spondylitis
mesh term: Spondylarthritis
mesh term: Spondylitis, Ankylosing