A partial least squares analysis of functional status, disability, and quality of life after surgical decompression for degenerative cervical myelopathy.

ABSTRACT: Previous studies aimed at identifying predictors of clinical outcomes following surgical decompression for degenerative cervical myelopathy (DCM) are limited by multicollinearity among predictors, whereby the high degree of correlation between covariates precludes detection of potentially significant findings. We apply partial least squares (PLS), a data-driven approach, to model multi-dimensional variance and dissociate patient phenotypes associated with functional, disability, and quality of life (QOL) outcomes in DCM. This was a post-hoc analysis of DCM patients enrolled in the prospective, multi-center AOSpine CSM-NA/CSM-I studies. Baseline clinical covariates evaluated as predictors included demographic (e.g., age, sex), clinical presentation (e.g., signs and symptoms), and treatment

SUBMITTER: Badhiwala JH 

PROVIDER: S-EPMC7527550 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature