Predictive model for achieving good clinical and radiographic outcomes at one-year following surgical correction of adult cervical deformity

Peter Passias, Samantha Horn, Cheongeun Oh, Gregory Poorman, Cole Bortz, Frank Segreto, Renaud Lafage, Bassel Diebo, Justin Scheer, Justin Smith, Christopher Shaffrey, Robert Eastlack, Daniel Sciubba, Themistocles Protopsaltis, Han Kim, Robert Hart, Virginie Lafage, Christopher Ames

Research output: Contribution to journalArticlepeer-review

Abstract

Background: For cervical deformity (CD) surgery, goals include realignment, improved patient quality of life, and improved clinical outcomes. There is limited research identifying patients most likely to achieve all three. Objective: The objective is to create a model predicting good 1-year postoperative realignment, quality of life, and clinical outcomes following CD surgery using baseline demographic, clinical, and radiographic factors. Methods: Retrospective review of a multicenter CD database. CD patients were defined as having one of the following radiographic criteria: Cervical sagittal vertical axis (cSVA) >4 cm, cervical kyphosis/scoliosis >10°° or chin-brow vertical angle >25°. The outcome assessed was whether a patient achieved both a good radiographic and clinical outcome. The primary analysis was stepwise regression models which generated a dataset-specific prediction model for achieving a good radiographic and clinical outcome. Model internal validation was achieved by bootstrapping and calculating the area under the curve (AUC) of the final model with 95% confidence intervals. Results: Seventy-three CD patients were included (61.8 years, 58.9% F). The final model predicting the achievement of a good overall outcome (radiographic and clinical) yielded an AUC of 73.5% and included the following baseline demographic, clinical, and radiographic factors: mild-moderate myelopathy (Modified Japanese Orthopedic Association >12), no pedicle subtraction osteotomy, no prior cervical spine surgery, posterior lowest instrumented vertebra (LIV) at T1 or above, thoracic kyphosis >33°°, T1 slope <16 and cSVA <20 mm. Conclusions: Achievement of a positive outcome in radiographic and clinical outcomes following surgical correction of CD can be predicted with high accuracy using a combination of demographic, clinical, radiographic, and surgical factors, with the top factors being baseline cSVA <20 mm, no prior cervical surgery, and posterior LIV at T1 or above.

Original languageEnglish (US)
Pages (from-to)228-235
Number of pages8
JournalJournal of Craniovertebral Junction and Spine
Volume12
Issue number3
DOIs
StatePublished - Jul 1 2021

Keywords

  • Cervical deformity
  • clinical outcomes
  • predictive modeling
  • radiographic alignment
  • surgical correction

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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