Abstract
Purpose
To assess dynamic postural alignment in ASD during walking using a subject-specific 3D approach.
Methods
69 ASD (51 ± 20 years, 77%F) and 62 controls (34 ± 13 years, 62%F) underwent gait analysis along with full-body biplanar Xrays and filled HRQoL questionnaires. Spinopelvic and postural parameters were computed from 3D skeletal reconstructions, including radiographic odontoid to hip axis angle (ODHA) that evaluates the head’s position over the pelvis (rODHA), in addition to rSVA and rPT. The 3D bones were then registered on each gait frame to compute the dynamic ODHA (dODHA), dSVA, and dPT. Patients with high dODHA (> mean + 1SD in controls) were classified as ASD-DU (dynamically unbalanced), otherwise as ASD-DB (dynamically balanced). Between-group comparisons and relationship between parameters were investigated.
Results
26 patients were classified as ASD-DU having an average dODHA of 10.4° (ASD-DB: 1.2°, controls: 1.7°), dSVA of 112 mm (ASD-DB: 57 mm, controls: 43 mm), and dPT of 21° (ASD-DB: 18°, controls: 14°; all p < 0.001). On static radiographs, ASD-DU group showed more severe sagittal malalignment than ASD-DB, with more altered HRQoL outcomes. The ASD-DU group had an overall abnormal walking compared to ASD-DB & controls (gait deviation index: 81 versus 93 & 97 resp., p < 0.001) showing a reduced flexion/extension range of motion at the hips and knees with a slower gait speed and shorter step length. Dynamic ODHA was correlated to HRQoL scores.
Conclusion
Dynamically unbalanced ASD had postural malalignment that persist during walking, associated with kinematic alterations in the trunk, pelvis, and lower limbs, making them more prone to falls. Dynamic-ODHA correlates better with HRQoL outcomes than dSVA and dPT.
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References
United Nations, Department of Economic and Social Affairs, Population Division (2017) World population ageing: 2017 highlights
Schwab F, Dubey A, Gamez L et al (2005) Adult scoliosis: prevalence, SF-36, and nutritional parameters in an elderly volunteer population. Spine 30:1082–1085. https://doi.org/10.1097/01.brs.0000160842.43482.cd
Diebo BG, Shah NV, Boachie-Adjei O et al (2019) Adult spinal deformity. Lancet. https://doi.org/10.1016/S0140-6736(19)31125-0
Scheer JK, Lau D, Smith JS et al (2021) Alignment, classification, clinical evaluation, and surgical treatment for adult cervical deformity: a complete guide. Neurosurgery. https://doi.org/10.1093/neuros/nyaa582
Attali V, Clavel L, Rouch P et al (2019) Compensation of respiratory-related postural perturbation is achieved by maintenance of head-to-pelvis alignment in healthy humans. Front Physiol. https://doi.org/10.3389/fphys.2019.00441
Schwab F, Ungar B, Blondel B et al (2012) Scoliosis research society—schwab adult spinal deformity classification. Spine. https://doi.org/10.1097/BRS.0b013e31823e15e2
Yagi M, Kaneko S, Yato Y, Asazuma T (2017) Standing balance and compensatory mechanisms in patients with adult spinal deformity. Spine. https://doi.org/10.1097/BRS.0000000000001901
Ferrero E, Guigui P, Khalifé M et al (2021) Global alignment taking into account the cervical spine with odontoid hip axis angle (OD-HA). Eur Spine J. https://doi.org/10.1007/s00586-021-06991-1
Haddas R, Ju KL, Belanger T, Lieberman IH (2018) The use of gait analysis in the assessment of patients afflicted with spinal disorders. Eur Spine J. https://doi.org/10.1007/s00586-018-5569-1
Severijns P, Moke L, Overbergh T et al (2021) Dynamic sagittal alignment and compensation strategies in adult spinal deformity during walking. Spine J 21:1059–1071. https://doi.org/10.1016/j.spinee.2021.02.017
Kawkabani G, Saliby RM, Mekhael M et al (2021) Gait kinematic alterations in subjects with adult spinal deformity and their radiological determinants. Gait Posture. https://doi.org/10.1016/j.gaitpost.2021.06.003
Miura K, Kadone H, Koda M et al (2020) Thoracic kyphosis and pelvic anteversion in patients with adult spinal deformity increase while walking: analyses of dynamic alignment change using a three-dimensional gait motion analysis system. Eur Spine J. https://doi.org/10.1007/s00586-020-06312-y
Davis RB, Õunpuu S, Tyburski D, Gage JR (1991) A gait analysis data collection and reduction technique. Hum Mov Sci. https://doi.org/10.1016/0167-9457(91)90046-Z
Leardini A, Biagi F, Merlo A et al (2011) Multi-segment trunk kinematics during locomotion and elementary exercises. Clin Biomech. https://doi.org/10.1016/j.clinbiomech.2011.01.015
Schwartz MH, Rozumalski A (2008) The gait deviation index: a new comprehensive index of gait pathology. Gait Posture 28:351–357. https://doi.org/10.1016/j.gaitpost.2008.05.001
Kolta S, Etcheto A, Fechtenbaum J et al (2019) Measurement of trabecular bone score of the spine by low-dose imaging system (EOS®): a feasibility study. J Clin Densitom. https://doi.org/10.1016/j.jocd.2018.05.040
Kolta S, Quiligotti S, Ruyssen-Witrand A et al (2008) In vivo 3D reconstruction of human vertebrae with the three-dimensional X-ray absorptiometry (3D-XA) method. Osteoporos Int. https://doi.org/10.1007/s00198-007-0447-4
Lahkar BK, Rohan P-Y, Assi A et al (2021) Development and evaluation of a new methodology for soft tissue Artifact compensation in the lower limb. J Biomech 122:110464. https://doi.org/10.1016/j.jbiomech.2021.110464
Söderkvist I, Wedin P-Å (1993) Determining the movements of the skeleton using well-configured markers. J Biomech 26:1473–1477. https://doi.org/10.1016/0021-9290(93)90098-Y
Yamagata M, Tateuchi H, Shimizu I et al (2021) The relation between kinematic synergy to stabilize the center of mass during walking and future fall risks: a 1-year longitudinal study. BMC Geriatr 21:240. https://doi.org/10.1186/s12877-021-02192-z
Acknowledgments
This research was funded by the University of Saint-Joseph (grant FM361), EUROSPINE (TFR2020#22), and ParisTech BiomecAM chair program on subject-specific musculoskeletal modeling (with the support of ParisTech and Yves Cotrel Foundations, Société Générale, Proteor and Covea). The funding sources did not intervene in study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication.
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Wafa Skalli holds patents related to the EOS system and associated 3D reconstruction methods, with no personal financial benefit (royalties rewarded for research and education). The other authors declare that they have no conflict of interest.
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Rebeyrat, G., Skalli, W., Rachkidi, R. et al. Assessment of dynamic balance during walking in patients with adult spinal deformity. Eur Spine J 31, 1736–1744 (2022). https://doi.org/10.1007/s00586-022-07199-7
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DOI: https://doi.org/10.1007/s00586-022-07199-7