With Ryan Cohen, Jason Cohen, Babak Khandehroo MD, Sheila Kahwaty PA-C, Eli M. Baron MD
Disclosures: Neel Anand MD A; Globus Medical. B; Globus Medical, Medtronic, Theracell, GYS Tech. C; DePuy Synthes, Stryker Spine. D; Atlas Spine, Medtronic, Globus Medical, Atlas Spine, Paradigm Spine, Theracell, AF cell, Bonovo, GYS Tech. F; Elsevier, Globus Medical, Medtronic, Nuvasive. , Ryan Cohen None, Jason Cohen None, Babak Khandehroo MD None, Sheila Kahwaty PA-C None., Eli M. Baron MD None.
Predictors of outcome using Circumferential Minimally Invasive Surgical (CMIS) techniques for the correction of Adult Spinal Deformity (ASD) are not well understood. This study was conducted to assess the significant clinical and radiological prognosticators of outcomes of CMIS correction of adult spinal deformity.
A variety of patient, clinical and radiologic factors influences ODI after CMIS correction of ASD. Baseline ODI and delta-SVA produce the best-fit multivariate regression model to predict post-op ODI.
This is a single center study from a prospective database of patients who underwent CMIS correction for ASD (Cobb angle > 20 degrees or SVA > 50 mm or PI/LL mismatch > 10). Patients without 2-year follow-up data or at least 3 or more levels operated were excluded resulting in a cohort of 81 consecutive patients.
The Pearson correlation between each outcome predictor and 2-year follow-up Oswestry disability index (ODI) was calculated. Stepwise regression analysis was used to construct a final multivariate linear regression model.
In descending order of correlation strength, baseline ODI, baseline sagittal vertical alignment (SVA), BMI, baseline visual analogue score (VAS), operation before 2011, delta-SVA, postop SVA, occurrence of pseudoarthrosis, and baseline Cobb angle, demonstrated a significant linear relationship to outcome: (p < .05). All correlations were positive, with the exception of delta-SVA and baseline Cobb angle, which were inversely related to ODI. Age, sex, smoking history, and comorbid depression were not significant predictors. Using stepwise regression, baseline ODI and delta-SVA, produced the best-fit multivariate regression model (R2 = .348, R2 adj. = .312, p <.01).
Spinal surgeons should consider the effects of baseline quality-of-life measures, radiographic correction, BMI and pseudoarthrosis as predictors of clinical outcome. In particular, baseline ODI and delta-SVA, considered simultaneously, may prove the most useful predictive factors.