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Impact of Depression and Bipolar Disorders on Functional and Quality of Life Outcomes in Patients Undergoing Surgery for Degenerative Cervical Myelopathy

Authors :
Branko Kopjar
Paul M. Arnold
Anoushka Singh
Lindsay Tetreault
Hiroaki Nakashima
Michael G. Fehlings
Narihito Nagoshi
Source :
Spine. 42:372-378
Publication Year :
2017
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2017.

Abstract

Study design Analysis of a combined prospective dataset. Objective To compare clinical outcomes in patients with and without preexisting depression or bipolar disorder undergoing surgery for degenerative cervical myelopathy (DCM). Summary of background data Psychiatric comorbidities, including depression, have been associated with worse clinical outcomes after lumbar spine surgery; however, it is unclear whether these psychiatric disorders are also predictive of outcomes in patients undergoing surgery for the treatment of DCM. Methods Four hundred and one patients with symptomatic DCM were enrolled in the prospective AOSpine International or North America study at twelve North American sites. Patients were evaluated preoperatively and at 6, 12, and 24 months using the modified Japanese Orthopedic Association scale (mJOA), Nurick score, Neck Disability Index (NDI), and Short- Form 36v2 (SF-36v2) Health Survey. A mixed model analytic approach was used to evaluate differences in outcomes at 24 months among patients with and without psychiatric disorders, while controlling for relevant baseline characteristics and surgical factors. Results Ninety-seven patients (24.19%) were diagnosed with preexisting depression or bipolar disorder. There were more females (65.98%) with these psychiatric disorders than males (34.02%) (P Conclusion Patients with depression or bipolar disorder have smaller functional and quality of life improvements after surgery compared to patients without psychiatric comorbidities. Level of evidence 2.

Details

ISSN :
15281159 and 03622436
Volume :
42
Database :
OpenAIRE
Journal :
Spine
Accession number :
edsair.doi...........41210239e17f115b173595e029e74b9b