{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T06:16:04Z","timestamp":1790748964420,"version":"4.1.0"},"reference-count":31,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T00:00:00Z","timestamp":1601683200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T00:00:00Z","timestamp":1601683200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Haemophilia"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>3D gait analysis has been proposed as a reproducible and valid method to assess abnormal gait patterns and to monitor disease progression in patients with haemophilia (PWH).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>\n                      This study aimed at comparing\n                      <jats:italic>Gait Deviation Index<\/jats:italic>\n                      (GDI) between adult PWH and healthy controls, and at assessing the agreement between outcome measures of haemophilic arthropathy.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Male PWH aged 18\u201049\u00a0years (prespecified subgroups: 18\u201025 vs 26\u201049\u00a0years) on prophylactic replacement therapy, and male healthy age\u2010matched controls passed through a cross\u2010sectional assessment panel. Besides the 3D gait analysis derived GDI, secondary outcomes included kinematic, kinetic and spatio\u2010temporal gait parameters, the\n                      <jats:italic>Haemophilia Joint Health Score<\/jats:italic>\n                      (HJHS), electric impedance derived leg muscle laterality and inflammatory biomarkers.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Patients with haemophilia (n\u00a0=\u00a018) walked slower, in shorter steps and accordingly with less functional range of motion in the hips and ankles, as compared to healthy controls (n\u00a0=\u00a024). Overall, PWH did not differ significantly in GDI and specific gait parameters. PWH had a higher mean HJHS (18.8 vs 2.6,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a0.000) and leg muscle laterality (4.3% vs 1.5%,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a0.004). A subgroup analysis revealed progressed gait pathology in PWH aged 26\u201049\u00a0years (not statistically significant). Leg muscle laterality was strongly correlated with HJHS (\n                      <jats:italic>r<\/jats:italic>\n                      \u00a0=\u00a0.76,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a0.000), whereas GDI just moderately (\n                      <jats:italic>r<\/jats:italic>\n                      \u00a0=\u00a0\u2212.39,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0=\u00a0.110). PWH had higher levels of the inflammatory markers CRP and IL\u20106.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Progressed gait pathology was found in PWH, mainly those aged 26\u201049\u00a0years. Leg muscle laterality correlated strongly with HJHS and was identified as a promising tool for detecting progression and physiological consequences of haemophilic joint arthropathy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/hae.14154","type":"journal-article","created":{"date-parts":[[2020,10,3]],"date-time":"2020-10-03T09:39:43Z","timestamp":1601717983000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["3D gait analysis, haemophilia joint health score, leg muscle laterality and biomarkers of joint damage: A cross\u2010sectional comparative assessment of haemophilic arthropathy"],"prefix":"10.1111","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2314-3293","authenticated-orcid":false,"given":"Peter","family":"Putz","sequence":"first","affiliation":[{"name":"Department Health Sciences FH Campus Wien \u2013 University of Applied Sciences Vienna 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