Related Experiment Video
Updated: Jan 24, 2026

Anterior Cervical Discectomy and Fusion in the Ovine Model
Published on: October 5, 2009
Predictors of achieving Neck Disability Index minimum clinically important difference following cervical deformity
Anthony L Mikula1, Justin K Scheer2, Rahul Kumar3
11Department of Neurological Surgery, University of California, San Francisco.
Objective:
The aim of this study was to determine predictors of the minimum clinically important difference (MCID) in the Neck Disability Index (NDI) following cervical spinal deformity surgery.
Methods:
A retrospective review was performed of a prospective, multicenter adult cervical spinal deformity database. All patients had baseline and 1-year NDI scores. Patients met MCID with an improvement of NDI by 7 points between baseline and 1 year, as previously established. Baseline demographics, comorbidities, and both baseline and 1-year spinopelvic parameters were evaluated for statistical significance in a univariate logistic regression analysis. Significant variables, in addition to baseline NDI, were analyzed in a multivariable logistic regression model by backward selection with Akaike information criterion minimization.
Results:
A total of 122 patients were included with a median age of 62 (IQR 56, 69) years; 62% of patients were female. Of the 122 patients, 72 (59%) achieved NDI MCID at 1 year. Predictors of achieving MCID on univariate analysis included a lower Charlson Comorbidity Index (CCI) total score (OR 0.70, p = 0.03), depression as a comorbidity (OR 2.9, p = 0.02), lower C2 tilt at the 1-year follow-up (OR 0.92, p = 0.02), and a greater difference between 1-year postoperative C2-7 sagittal vertical axis (SVA) and preoperative C2-7 SVA (OR 0.98, p = 0.0495). On multivariable logistic regression analysis, predictors of achieving MCID included a lower CCI (OR 0.62, p = 0.03), depression as a comorbidity (OR 3.1, p = 0.059), a greater change in C2-7 SVA at the 1-year follow-up compared with baseline (OR 0.97, p = 0.055), and baseline NDI (OR 1.02, p = 0.24) with an area under the curve of 0.74.
Conclusions:
The best-fit multivariable model included higher baseline NDI, a greater change in C2-7 SVA, patient-reported baseline depression, and lower CCI as important factors in predicting NDI MCID.
Related Concept Videos
Intellectual Disability
Learning Disabilities
Dyslexia
Dyslexia is a...
Plastic Deformations
Plastic Deformations
Temperature Dependent Deformation
Deformations in a Symmetric Member in Bending
When the member is segmented into tiny cubic elements, it is observed that the primary stress...

