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Published in: BMC Surgery 1/2021

Open Access 01-12-2021 | Cervical Myelopathy | Research article

Predictors associated with neurological recovery after anterior decompression with fusion for degenerative cervical myelopathy

Authors: Hiroyuki Inose, Takashi Hirai, Toshitaka Yoshii, Atsushi Kimura, Katsushi Takeshita, Hirokazu Inoue, Asato Maekawa, Kenji Endo, Takeo Furuya, Akira Nakamura, Kanji Mori, Shunsuke Kanbara, Shiro Imagama, Shoji Seki, Shunji Matsunaga, Kunihiko Takahashi, Atsushi Okawa

Published in: BMC Surgery | Issue 1/2021

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Abstract

Background

Anterior decompression with fusion (ADF) has often been performed for degenerative cervical myelopathy (DCM) in patients with poor cervical spine alignment and/or anterior cord compression. We aimed to identify clinical and radiological predictors associated with neurological recovery after ADF.

Methods

This post-hoc analysis from a prospective multicenter study included patients who were scheduled for ADF for DCM. The patients who received other surgeries (laminoplasty, posterior decompression and fusion) were excluded. The associations between baseline clinical and radiographic variables (age, sex, body mass index, etiology, cervical lordosis, range of motion, C7 slope, C2-7 sagittal vertical axis [SVA], thoracic kyphosis [TK], lumbar lordosis, sacral slope, SVA, pelvic tilt, T1 pelvic angle [TPA], the Japanese Orthopedic Association score for the assessment of cervical myelopathy [C-JOA], European Quality of Life Five Dimensions Scale [EQ-5D], Neck Disability Index [NDI], Physical Component Summary of the SF-36 [PCS], and Mental Component Summary of the SF-36) and the recovery rates as the outcome variables were investigated in the univariate regression analysis. Then, the independent predictors for increased recovery rates were evaluated using a stepwise multiple regression analysis.

Results

In total, 37 patients completed the 1 year follow-up. The recovery rate was significantly correlated with SVA (p = 0.001) and TPA (p = 0.03). Univariate regression analyses showed that age (Regression coefficient = − 0.92, p = 0.049), SVA (Regression coefficient  = − 0.57, p = 0.004) and PCS (Regression coefficient = 0.80, p = 0.03) score were significantly associated with recovery rate. Then, a stepwise multiple regression analysis identified the independent predictors of recovery rate after ADF as TK (p = 0.01), PCS (p = 0.03), and SVA (p = 0.03). According to this prediction model, the following equation was obtained: recovery rate = − 8.26 + 1.17 × (TK) − 0.45 × (SVA) + 0.85 × (PCS) (p = 0.002, R2 = 0.44).

Conclusion

Patients with lower TK, lower PCS score, and higher SVA were more likely to have poor neurological recovery after ADF. Therefore, patients with DCM and these predictors who undergo ADF should be warned about poor recovery and be required to provide adequate informed consent.
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Metadata
Title
Predictors associated with neurological recovery after anterior decompression with fusion for degenerative cervical myelopathy
Authors
Hiroyuki Inose
Takashi Hirai
Toshitaka Yoshii
Atsushi Kimura
Katsushi Takeshita
Hirokazu Inoue
Asato Maekawa
Kenji Endo
Takeo Furuya
Akira Nakamura
Kanji Mori
Shunsuke Kanbara
Shiro Imagama
Shoji Seki
Shunji Matsunaga
Kunihiko Takahashi
Atsushi Okawa
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Surgery / Issue 1/2021
Electronic ISSN: 1471-2482
DOI
https://doi.org/10.1186/s12893-021-01147-w

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