Literature DB >> 31225604

Predicting Outcomes After Surgical Decompression for Mild Degenerative Cervical Myelopathy: Moving Beyond the mJOA to Identify Surgical Candidates.

Jetan H Badhiwala1, Laureen D Hachem1, Zamir Merali1, Christopher D Witiw1, Farshad Nassiri1, Muhammad A Akbar1, Saleh A Almenawer2, Markus Schomacher3, Jefferson R Wilson1, Michael G Fehlings1,2,4.   

Abstract

BACKGROUND: Patients with mild degenerative cervical myelopathy (DCM) represent a heterogeneous population, and indications for surgical decompression remain controversial.
OBJECTIVE: To dissociate patient phenotypes within the broader population of mild DCM associated with degree of impairment in baseline quality of life (QOL) and surgical outcomes.
METHODS: This was a post hoc analysis of patients with mild DCM (modified Japanese Orthopedic Association [mJOA] 15-17) enrolled in the AOSpine CSM-NA/CSM-I studies. A k-means clustering algorithm was applied to baseline QOL (Short Form-36 [SF-36]) scores to separate patients into 2 clusters. Baseline variables and surgical outcomes (change in SF-36 scores at 1 yr) were compared between clusters. A k-nearest neighbors (kNN) algorithm was used to evaluate the ability to classify patients into the 2 clusters by significant baseline clinical variables.
RESULTS: One hundred eighty-five patients were eligible. Two groups were generated by k-means clustering. Cluster 1 had a greater proportion of females (44% vs 28%, P = .029) and symptoms of neck pain (32% vs 11%, P = .001), gait difficulty (57% vs 40%, P = .025), or weakness (75% vs 59%, P = .041). Although baseline mJOA correlated with neither baseline QOL nor outcomes, cluster 1 was associated with significantly greater improvement in disability (P = .003) and QOL (P < .001) scores following surgery. A kNN algorithm could predict cluster classification with 71% accuracy by neck pain, motor symptoms, and gender alone.
CONCLUSION: We have dissociated a distinct patient phenotype of mild DCM, characterized by neck pain, motor symptoms, and female gender associated with greater impairment in QOL and greater response to surgery.
Copyright © 2019 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Cervical spondylotic myelopathy; Clinical prediction models; Degenerative cervical myelopathy; Modified Japanese Orthopedic Association scale; Quality of life

Year:  2020        PMID: 31225604     DOI: 10.1093/neuros/nyz160

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  7 in total

1.  Inadequate spinal cord expansion in intraoperative ultrasound after decompression may predict neurological recovery of degenerative cervical myelopathy.

Authors:  Guoliang Chen; Fuxin Wei; Liangyu Shi; Jiachun Li; Xianxiang Wang; Meng Wang; Huachuan Wu; Zuofeng Xu; Xizhe Liu; Shaoyu Liu
Journal:  Eur Radiol       Date:  2021-04-30       Impact factor: 5.315

2.  Degenerative Cervical Myelopathy; A Review of the Latest Advances and Future Directions in Management.

Authors:  Jamie R F Wilson; Jetan H Badhiwala; Ali Moghaddamjou; Allan R Martin; Michael G Fehlings
Journal:  Neurospine       Date:  2019-08-26

3.  Developing Peri-Operative Rehabilitation in Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 6]: An Unexplored Opportunity?

Authors:  Timothy F Boerger; Allison S Hyngstrom; Julio C Furlan; Sukhvinder Kalsi-Ryan; Armin Curt; Brian K Kwon; Shekar N Kurpad; Michael G Fehlings; James S Harrop; Bizhan Aarabi; Vafa Rahimi-Movaghar; James D Guest; Jefferson R Wilson; Benjamin M Davies; Mark R N Kotter; Paul A Koljonen
Journal:  Global Spine J       Date:  2022-02

4.  Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 9].

Authors:  Allan R Martin; Lindsay Tetreault; Aria Nouri; Armin Curt; Patrick Freund; Vafa Rahimi-Movaghar; Jefferson R Wilson; Michael G Fehlings; Brian K Kwon; James S Harrop; Benjamin M Davies; Mark R N Kotter; James D Guest; Bizhan Aarabi; Shekar N Kurpad
Journal:  Global Spine J       Date:  2021-11-19

5.  Machine learning-based clustering in cervical spondylotic myelopathy patients to identify heterogeneous clinical characteristics.

Authors:  Chenxing Zhou; ShengSheng Huang; Tuo Liang; Jie Jiang; Jiarui Chen; Tianyou Chen; Liyi Chen; Xuhua Sun; Jichong Zhu; Shaofeng Wu; Zhen Ye; Hao Guo; Wenkang Chen; Chong Liu; Xinli Zhan
Journal:  Front Surg       Date:  2022-07-25

6.  Cerebrospinal fluid pressure dynamics reveal signs of effective spinal canal narrowing in ambiguous spine conditions.

Authors:  Najmeh Kheram; Nikolai Pfender; Andrea Boraschi; Mazda Farshad; Vartan Kurtcuoglu; Armin Curt; Martin Schubert; Carl M Zipser
Journal:  Front Neurol       Date:  2022-08-09       Impact factor: 4.086

7.  Moving Beyond the Neck and Arm: The Pain Experience of People With Degenerative Cervical Myelopathy Who Have Pain.

Authors:  Timothy Boerger; Ali Alsouhibani; Oliver Mowforth; Joseph Hamilton; Abdul Lalkhen; Benjamin M Davies; Mark R N Kotter
Journal:  Global Spine J       Date:  2021-02-25
  7 in total

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