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Analysis of factors affecting baseline SF-36 Mental Component Summary in Adult Spinal Deformity and its impact on surgical outcomes

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 mul...

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Detalles Bibliográficos
Autores principales: Mmopelwa, Tiro, Ayhan, Selim, Yuksel, Selcen, Nabiyev, Vugar, Niyazi, Asli, Pellise, Ferran, Alanay, Ahmet, Sanchez Perez Grueso, Francisco Javier, Kleinstuck, Frank, Obeid, Ibrahim, Acaroglu, Emre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Association of Orthopaedics and Traumatology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136333/
https://www.ncbi.nlm.nih.gov/pubmed/29503080
http://dx.doi.org/10.1016/j.aott.2018.02.001
Descripción
Sumario: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; p < 0.001). CONCLUSIONS: The factors effective on the baseline SF-36 MCS in an ASD population are other HRQOL parameters such as SRS-22 and ODI as well as the baseline thoracic kyphosis and gender. This study has also demonstrated that baseline SF-36 MCS does not necessarily have any effect on the treatment results by surgery as assessed by SRS-22 or ODI. LEVEL OF EVIDENCE: Level III, prognostic study.