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article · Global Spine Journal

Predictive Algorithm for Surgery Recommendation in Thoracolumbar Burst Fractures Without Neurological Deficits

202411 citationsOpen accessAssiut University

Abstract

This study presents a predictive analytic algorithm to guide decision-making in the treatment of thoracolumbar burst fractures without neurological deficits. PLC injury assessment over 57.5% was highly predictive of receiving surgery (97.0%). A high degree of comminution resulted in a higher chance of receiving surgery in Europe or Asia vs North/South America. Future studies could include clinical and other variables to enhance predictive ability or use machine learning for outcomes prediction in thoracolumbar burst fractures.

Research topics

  • Spinal Fractures and Fixation Techniques
  • Pelvic and Acetabular Injuries
  • Spine and Intervertebral Disc Pathology

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DOI: 10.1177/21925682231203491

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