title: Epidemiology of traumatic spine fractures.
abstract: OBJECTIVE
  To illustrate the correlations and effects of age, gender and cause of accident on the type of vertebral fracture and fracture distribution, as well as on the likelihood to sustain an associated injury or neurological deficit.
  
  
  METHODS
  Retrospective analysis of 562 patients with a traumatic fracture of the spine. Each patient was analysed by reviewing the medical records, the initial radiographs and CT-scans.
  
  
  METHODS
  Level 1 trauma centre from 01/1996 to 12/2000.
  
  
  RESULTS
  The most common cause of accident was a high-energy fall (39%), followed by traffic accidents (26.5%). While fall related fractures were evenly distributed over the whole spine, traffic accidents induced significantly more fractures of the cervical and thoracic spine. Sixty-five percent of all cervical spine fractures and 80% of the multisegmental injuries were accompanied by an associated injury. The highest incidence of associated injuries was observed in patients with multilevel fractures (96.5%). Patients with a concomitant injury were more likely to sustain a spinal cord lesion. Sixty-three (11.2%) patients exhibited a complete motor and sensory deficit, 76 (13.5%) an incomplete and 423 (75.3%) no neurological deficit. The highest number of complete motor and sensory neurological deficits was found in cervical spine fractures (19.7%). The majority of patients, 308 (54.8%), sustained a compression fracture, 95 (16.9%) a distraction fracture, and 104 (18.5%) patients experienced a rotational fracture.
  
  
  CONCLUSIONS
  This study demonstrates correlations between the cause of accident, the type of spinal fracture and the fracture distribution. Using the AO classification, the likelihood to sustain either associated and/or spinal cord injuries, is predictable.
authors.affiliation: Department of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, 257 Campus Drive, CA 94305, USA. pleucht@stanford.edu
authors.forename: Philipp
authors.initials: P
authors.lastname: Leucht
authors.forename: Klaus
authors.initials: K
authors.lastname: Fischer
authors.forename: Gert
authors.initials: G
authors.lastname: Muhr
authors.forename: Ernst J
authors.initials: EJ
authors.lastname: Mueller
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data*; D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D020127:Recovery of Function / Q000502:physiology; D012189:Retrospective Studies; D012720:Severity of Illness Index; D013119:Spinal Cord Injuries / Q000000981:diagnostic imaging / Q000453:epidemiology* / Q000209:etiology; D016103:Spinal Fractures / Q000150:complications / Q000000981:diagnostic imaging / Q000453:epidemiology*; D014057:Tomography, X-Ray Computed; D055815:Young Adult