Literature DB >> 28350943

Controversies in Spinal Trauma and Evolution of Care.

James S Harrop1, George N Rymarczuk1,2, Alexander R Vaccaro3, Michael P Steinmetz4, Lindsay A Tetreault5, Michael G Fehlings5.   

Abstract

Management of spinal trauma is a complex and rapidly evolving field. To optimize patient treatment algorithms, an understanding of and appreciation for current controversies and advancing technologies in the field of spinal trauma is necessary. Therefore, members of the AOSpine Knowledge Forum Trauma initiative used a modified Delphi method to compile a list of controversial issues and emerging technologies in the field of spinal trauma, and a list of the 14 most relevant topics was generated. A total of 45 440 manuscripts covering the breadth of spine and spinal trauma were initially identified. This broad search was then refined using the 14 categories felt to be most relevant to the current field of spinal trauma. The results were further pared down using inclusion criteria to select for the most relevant topics. The 8 remaining topics were classification schemes, treatment of vertebral compression fractures, treatment of burst fractures, timing of surgery in spinal trauma, hypothermia, the importance of global sagittal balance, lumbar subarachnoid drainage, and diffusion magnetic resonance imaging. These 8 topics were felt to be the most relevant, controversial, rapidly evolving, and most deserving of inclusion in this summary. In summary, despite recent advances, the field of spinal trauma has many ongoing points of controversy. We must continue to refine our ability to care for this patient population through education, research, and development. It is anticipated that the new AOSpine fracture classification system will assist with prospective research efforts.
Copyright © 2016 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Classification; Future; Imaging; Spine; Timing of surgery; Trauma

Mesh:

Year:  2017        PMID: 28350943     DOI: 10.1093/neuros/nyw076

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


  2 in total

1.  Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome.

Authors:  Austin Chou; Abel Torres-Espin; Nikos Kyritsis; J Russell Huie; Sarah Khatry; Jeremy Funk; Jennifer Hay; Andrew Lofgreen; Rajiv Shah; Chandler McCann; Lisa U Pascual; Edilberto Amorim; Philip R Weinstein; Geoffrey T Manley; Sanjay S Dhall; Jonathan Z Pan; Jacqueline C Bresnahan; Michael S Beattie; William D Whetstone; Adam R Ferguson
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

2.  An Epidemiological Overview of Spinal Trauma in the Kingdom of Saudi Arabia.

Authors:  Ahmed Bakhsh; Ali Hassan Aljuzair; Hany Eldawoody
Journal:  Spine Surg Relat Res       Date:  2020-03-19
  2 in total

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