Epidemiology and risk factors of cervical spine injury during heating season in the patients with cervical trauma: a cross-sectional study.

PURPOSE: The purpose of this study was to describe the epidemiology of cervical spine injury in the patients with cervical trauma and analyze its associated risk factors during the special heating season in North China. METHODS: This cross-sectional study investigated predictors for cervical spine injury in cervical trauma patients using retrospectively collected data of Hebei Provincial Orthopaedic Hospital from 11/2011 to 02/2012, and 11/2012 to 02/2013. Binary logistic regression analysis was used to determine risk factors for cervical fractures/dislocations or cord injury. RESULTS: A total of 106 patients were admitted into this study. Of all, 34 patients (32.1%) were treated from 11/2011 to 02/2012 and 72 patients (67.9%) from 11/2012 to 02/2013. The mean age was 41.9±13.3 years old; 85 patients (80.2%) were male and 82 (77.4%) from rural areas. Eighty patients (75.5%) were caused by fall including 45 (42.5%) by severe fall (>2 m). Sixty-five patients (61.3%) of all suffered injuries to other body regions and 32 (30.2%) got head injury. Thirty-one patients (29.2%) sustained cervical cord injury with cervical fractures/dislocations. Twenty-six (83.9%) of cervical cord injury patients were from rural areas and 24 (77.4%) of those resulted from fall including 15 (48.4%) from severe fall (>2 m). Logistic regression displayed that age (OR, 1.47; 95% CI, 1.05-2.07), head injury (OR, 5.63; 95% CI, 2.23-14.26), were risk factors for cervical cord injury and snowing (OR, 8.25; 95% CI, 2.26-30.15) was a risk factor for cervical spine injury due to severe fall (>2 m). CONCLUSIONS: The elder male patients and patients with head trauma are high-risk population for cervical cord injury. As a seasonal factor, snowing during heating season is of note a risk factor for cervical spine injury resulting from severe fall (>2 m) in the patients with cervical trauma in North China

Distribution of injury mechanisms in total patients.

<p>Distribution of injury mechanisms in total patients.</p

OR of age, gender, regional distribution, injury mechanisms and snowing.

<p>OR of age, gender, regional distribution, injury mechanisms and snowing.</p

Patient population during one week before snowing or after snowing from 2012/11 to 2013/02.

*<p>P = 0.017 compared with group (before snowing) by Fisher’s Exact Test.</p

Patient population in total during one week before or after snowing.

*<p> = 11.29, P = 0.001 compared with group (before snowing) by Pearson Chi-Square Test.</p