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    Association between sagittal alignment and loads at the adjacent segment in the fused spine: a combined clinical and musculoskeletal modeling study of 205 patients with adult spinal deformity
    (SPRINGER, 2022-01-01) Ignasiak, Dominika; Behm, Pascal; Mannion, Anne F.; Galbusera, Fabio; Kleinstuck, Frank; Fekete, Tamas F.; Haschtmann, Daniel; Jeszenszky, Dezso; Zimmermann, Laura; Richner-Wunderlin, Sarah; Vila-Casademunt, Alba; Pellise, Ferran; Obeid, Ibrahim; Pizones, Javier; Sanchez Perez-Grueso, Francisco J.; Karaman, Muhammed Ilkay; Alanay, Ahmet; Yilgor, Caglar; Ferguson, Stephen J.; Loibl, Markus
    PurposeSagittal malalignment is a risk factor for mechanical complications after surgery for adult spinal deformity (ASD). Spinal loads, modulated by sagittal alignment, may explain this relationship. The aims of this study were to investigate the relationships between: (1) postoperative changes in loads at the proximal segment and realignment, and (2) absolute postoperative loads and postoperative alignment measures. MethodsA previously validated musculoskeletal model of the whole spine was applied to study a clinical sample of 205 patients with ASD. Based on clinical and radiographic data, pre-and postoperative patient-specific alignments were simulated to predict loads at the proximal segment adjacent to the spinal fusion. ResultsWeak-to-moderate associations were found between pre-to-postop changes in lumbar lordosis, LL (r = - 0.23, r = - 0.43
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    Analysis of factors affecting baseline SF-36 Mental Component Summary in Adult Spinal Deformity and its impact on surgical outcomes
    (TURKISH ASSOC ORTHOPAEDICS TRAUMATOLOGY, 2018-01-01) Mmopelwa, Tiro; Ayhan, Selim; Yuksel, Selcen; Nabiyev, Vugar; Niyazi, Asli; Pellise, Ferran; Alanay, Ahmet; Perez Grueso, Francisco Javier Sanchez; Kleinstuck, Frank; Obeid, Ibrahim; Acaroglu, Emre; Grp, European Spine Study
    Objectives: To identify the factors that affect SF-36 mental component summary (MCS) in patients with adult spinal deformity (ASD) at the time of presentation, and to analyse the effect of SF-36 MCS on clinical outcomes in surgically treated patients. Methods: Prospectively collected data from a multicentric ASD database was analysed for baseline parameters. Then, the same database for surgically treated patients with a minimum of 1-year follow-up was analysed to see the effect of baseline SF-36 MCS on treatment results. A clinically useful SF-36 MCS was determined by ROC Curve analysis. Results: A total of 229 patients with the baseline parameters were analysed. A strong correlation between SF-36 MCS and SRS-22, ODI, gender, and diagnosis were found (p < 0.05). For the second part of the study, a total of 186 surgically treated patients were analysed. Only for SF-36 PCS, the un-improved cohort based on minimum clinically important differences had significantly lower mean baseline SF-36 MCS (p < 0.001). SF-36 MCS was found to have an odds ratio of 0.914 in improving SF-36 PCS score (unit by unit) (p < 0.001). A cut-off point of 43.97 for SF-36 MCS was found to be predictive of SF-36 PCS (AUC = 0.631