Preoperative Clinical and Radiographic Variables Predict Postoperative C5 Palsy
Zach Pennington1, Daniel Lubelski1, Adam D'Sa1
1Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Background:
Postoperative C5 palsy affects 8% of patients undergoing posterior cervical decompression. It is associated with a period functional disability that may exceed 12 months and increase direct care costs > $2000.
Methods:
All patients undergoing posterior cervical decompression at a single tertiary-care facility for degenerative conditions were evaluated for preoperative imaging, clinical presentation, surgical operation, and postoperative course. We sought to identify those variables predictive of postoperative C5 palsy.
Results:
Of 221 included patients (mean age, 63 years; 54% male), 12.2% experienced C5 palsy. On univariate analysis, C5 palsy was associated with foraminal diameter (P = 0.0005), spinal cord cross-sectional area (P = 0.11), number of levels undergoing laminectomy (P = 0.14), and clinical presentation of dropping objects (P = 0.07), hand clumsiness (P = 0.13), or paresthesias in the upper extremities (P = 0.08). Foraminal diameter (odds ratio, 0.31 per mm increase; 95% confidence interval, 0.16-0.60; P < 0.001) and patient report of gait disturbance (odds ratio, 0.53; 95% confidence interval, 0.33-0.85; P = 0.008) were the only significant predictors on multivariate analysis. A foraminal diameter <2 mm had 2-fold greater odds of postoperative C5 palsy. A receiver operating curve for the multivariate logistic model had an associated C-statistic of 0.7818. The absolute error of this model was 9.3% on internal validation.
Conclusions:
Foraminal stenosis most strongly predicted postoperative C5 palsy. A proof-of-concept model incorporating foramen size, as well as clinical complaints of paresthesias, hand clumsiness, and gait abnormality, successfully predicts the occurrence of postoperative palsy with an overall accuracy of 78%.
Related Concept Videos
Predicting Molecular Geometry
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Random Variables
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Variables Affecting Phosphorescence and Fluorescence
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Work and Energy for Variable Forces


