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Management of Traumatic Nerve Palsies in Paediatric Supracondylar Humerus Fractures: A Systematic Review.

Christy GraffGeorge Dennis DounasMaya Rani Louise Chandra ToddJonghoo SungMedhir Kumawat
Published in: Children (Basel, Switzerland) (2023)
Purpose: Up to 12% of paediatric supracondylar humerus fractures (SCHFs) have an associated traumatic nerve injury. This review aims to summarize the evidence and guide clinicians regarding the timing of investigations and/or surgical interventions for traumatic nerve palsies after this injury. Methods: A formal systematic review was undertaken in accordance with the Joanna Briggs Institute (JBI) methodology for systematic reviews and PRISMA guidelines. Manuscripts were reviewed by independent reviewers against the inclusion and exclusion criteria, and data extraction, synthesis, and assessment for methodological quality were undertaken. Results: A total of 51 manuscripts were included in the final evaluation, reporting on a total of 510 traumatic nerve palsies in paediatric SCHFs. In this study, 376 nerve palsies recovered without any investigation or intervention over an average time of 19.5 weeks. Comparatively, 37 went back to theatre for exploration beyond the initial treatment due to persistent deficits, at an average time of 4 months. The most common finding at the time of exploration was entrapment of the nerve requiring neurolysis. A total of 27 cases did not achieve full recovery regardless of management. Of the 15 reports of nerve laceration secondary to paediatric SCHFs, 13 were the radial nerve. Conclusions: Most paediatric patients who sustain a SCHF with associated traumatic nerve injury will have full recovery. Delayed or no recovery of the nerve palsy should be considered for exploration within four months of the injury; earlier exploration should be considered for radial nerve palsies.
Keyphrases
  • systematic review
  • peripheral nerve
  • spinal cord injury
  • emergency department
  • intensive care unit
  • traumatic brain injury
  • big data
  • artificial intelligence
  • preterm birth
  • replacement therapy
  • data analysis