Literature DB >> 24056096

Predictors of outcome in patients with cervical spondylotic myelopathy undergoing surgical treatment: a survey of members from AOSpine International.

Lindsay A Tetreault1, Aria Nouri1, Anoushka Singh2, Mike Fawcett3, Michael G Fehlings4.   

Abstract

OBJECTIVES: To conduct a survey of the AOSpine community to determine international perceptions of key predictors of outcome in patients with cervical spondylotic myelopathy. This knowledge will guide the development of clinical prediction models and allow the alignment of clinical perceptions with evidence-based reality.
METHODS: A request to participate in a survey was distributed to members of AOSpine International. The primary question asked surgeons to rank eight clinical factors according to their ability to predict surgical outcome: age, preoperative severity, sex, duration of symptoms, smoking status, signs, and symptoms. Three questions were also included to address the importance of magnetic resonance imaging as a prognostic tool.
RESULTS: Six hundred and eighty-nine international spine professionals completed the survey, most of whom were spine surgeons. Duration of symptoms and baseline severity score were ranked as the top two predictors of outcome from all geographic locations, with the exception of Europe, which rated the presence of myelopathic symptoms more important than preoperative severity. There was international agreement that 65 years and a modified Japanese Orthopaedic Association score of 12 were the threshold age and preoperative severity above/below which there becomes a negative impact on outcome. Surgeons most frequently selected diabetes (n = 538) as the comorbidity having the most significant impact on surgical results, followed by neuromuscular disorders (n = 360). Finally, there was international consensus that magnetic resonance imaging is a valuable prognostic tool and that signal changes on T2- and T1/T2-weighted images are the most important parameters in outcome prediction.
CONCLUSION: This survey summarizes surgeons' perceptions of the most important predictors of outcome and provides insight into how surgeons undertake decision making.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AOSpine international; Baseline severity score; Cervical spondylotic myelopathy; Clinical factors; Combined T1/T2 signal changes; Duration of symptoms; Imaging factors; Predictors of surgical outcome; Signal intensity on t2-weighted images; Survey results

Mesh:

Year:  2013        PMID: 24056096     DOI: 10.1016/j.wneu.2013.09.023

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  9 in total

1.  Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.

Authors:  Haydn Hoffman; Sunghoon I Lee; Jordan H Garst; Derek S Lu; Charles H Li; Daniel T Nagasawa; Nima Ghalehsari; Nima Jahanforouz; Mehrdad Razaghy; Marie Espinal; Amir Ghavamrezaii; Brian H Paak; Irene Wu; Majid Sarrafzadeh; Daniel C Lu
Journal:  J Clin Neurosci       Date:  2015-06-23       Impact factor: 1.961

2.  Delayed decompression exacerbates ischemia-reperfusion injury in cervical compressive myelopathy.

Authors:  Pia M Vidal; Spyridon K Karadimas; Antigona Ulndreaj; Alex M Laliberte; Lindsay Tetreault; Stefania Forner; Jian Wang; Warren D Foltz; Michael G Fehlings
Journal:  JCI Insight       Date:  2017-06-02

3.  Transcranial magnetic stimulation of the motor cortex correlates with objective clinical measures in patients with cervical spondylotic myelopathy.

Authors:  Marcus D Mazur; Andrea White; Sara McEvoy; Erica F Bisson
Journal:  Spine (Phila Pa 1976)       Date:  2014-06-15       Impact factor: 3.468

Review 4.  Degenerative cervical myelopathy.

Authors:  So Kato; Michael Fehlings
Journal:  Curr Rev Musculoskelet Med       Date:  2016-09

5.  Does age affect surgical outcomes in patients with degenerative cervical myelopathy? Results from the prospective multicenter AOSpine International study on 479 patients.

Authors:  Hiroaki Nakashima; Lindsay A Tetreault; Narihito Nagoshi; Aria Nouri; Branko Kopjar; Paul M Arnold; Ronald Bartels; Helton Defino; Shashank Kale; Qiang Zhou; Michael G Fehlings
Journal:  J Neurol Neurosurg Psychiatry       Date:  2015-09-29       Impact factor: 10.154

6.  Predictors of symptomatic myelopathy in degenerative cervical spinal cord compression.

Authors:  Zdenek Kadanka; Blanka Adamova; Milos Kerkovsky; Zdenek Kadanka; Ladislav Dusek; Barbora Jurova; Eva Vlckova; Josef Bednarik
Journal:  Brain Behav       Date:  2017-08-11       Impact factor: 2.708

7.  Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy.

Authors:  Zamir G Merali; Christopher D Witiw; Jetan H Badhiwala; Jefferson R Wilson; Michael G Fehlings
Journal:  PLoS One       Date:  2019-04-04       Impact factor: 3.240

8.  Outcome Measures and Variables Affecting Prognosis of Cervical Spondylotic Myelopathy: WFNS Spine Committee Recommendations.

Authors:  Mehmet Zileli; Shradha Maheshwari; Shashank Sharad Kale; Kanwaljeet Garg; Sajesh K Menon; Jutty Parthiban
Journal:  Neurospine       Date:  2019-09-30

9.  Optimizing the Application of Surgery for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 10].

Authors:  Ricardo Rodrigues-Pinto; Thiago S Montenegro; Benjamin M Davies; So Kato; Yoshiharu Kawaguchi; Manabu Ito; Mehmet Zileli; Brian K Kwon; Michael G Fehlings; Paul A Koljonen; Shekar N Kurpad; James D Guest; Bizhan Aarabi; Vafa Rahimi-Movaghar; Jefferson R Wilson; Mark R N Kotter; James S Harrop
Journal:  Global Spine J       Date:  2022-02
  9 in total

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