| Literature DB >> 27787377 |
Hongwei Wang1, Lan Ou, Yue Zhou, Changqing Li, Jun Liu, Yu Chen, Hailong Yu, Qi Wang, Yiwen Zhao, Jianda Han, Liangbi Xiang.
Abstract
To investigate the incidence and pattern of patients managed for traumatic upper cervical spinal fractures (TUCSFs) in teaching hospitals in China over 13 years.We retrospectively reviewed 351 patients with TUCSF admitted to our teaching hospitals. Incidence rates were calculated with respect to age, gender, etiologies of trauma, anatomical distribution, anatomical classification, American spinal injury association impairment scale (ASIA) classification of neurological deficit and associated injuries.There were 260 male and 91 female patients, with a mean age of 44.2 ± 16.3 years. The mean age of the patients significantly increased by year of admission, from 35.2 ± 14.5 years to 47.5 ± 17.2 years (P = 0.005). Motor vehicle accidents (MVAs) (n = 132, 37.6%) and high falls (n = 104, 29.6%) were the 2 most common mechanisms. The number of C2 fractures (n = 300, 85.5%) was significantly higher than that of C1 (n = 99, 28.2%) (P < 0.001). High falls resulted in significantly more Type I C1 fractures than other etiologies (all P < 0.001). MVAs resulted in many more Type II and Type III C1 fractures and Type II and Type III C2 fractures than other etiologies. High falls were the most common injury type (n = 44, 36.4%) resulting in neurological deficits. Patients who presented with Landell classification Type I single C1 fracture (n = 6, 42.9%) had the highest rate of neurological deficits. Eighty-two patients had combined injuries; the most common pattern was cervical + cervical spine (n = 44, 12.5%), followed by cervical + thoracic spine (n = 27, 7.7%). A total of 121 patients (34.5%) suffered neurological deficits. Of all patients with TUCSF without combined injuries, single C2 fractures accounted for the highest rate of neurological deficits (n = 62, 32.0%). Multivariate logistic regression analysis indicated that sex (OR = 1.876, 95% CI: 1.022-3.443, P = 0.042), etiology (MVA pedestrians vs high fall: OR = 0.187, 95% CI: 0.056-0.629, P = 0.007), level (C1 + OFs vs C1: OR = 6.264, 95% CI: 1.152-34.045, P = 0.034), and injury severity scoring (ISS) (OR = 1.186, 95% CI: 1.133-1.242, P < 0.001) were independent risk factors of neurological deficit.The most common causes of TUCSF were MVAs and high falls; single C2 fractures without combined injuries accounted for the most common neurological deficits. Different etiologies resulted in different specific anatomical injuries and neurological deficits. We should make early diagnoses and initiate timely treatment according to different TUCSF patterns.Entities:
Mesh:
Year: 2016 PMID: 27787377 PMCID: PMC5089106 DOI: 10.1097/MD.0000000000005205
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
Characteristics of TUCSF according to admission time from January 2001 to December 2012.
Characteristics of TUCSF in China according to different fracture level from 2001 to 2013.
Figure 1Age distribution of patients presenting with TUCSF.
Characteristics of C1 according to Landell classification and C2 fracture according to Anderson classification.
Figure 2Characteristics of patients presenting with traumatic C1 or C2 spine fracture. (A) Characteristics of C1 fracture according to Landell classification. (B) Characteristics of C2 fracture according to Anderson classification.
Figure 3Characteristics of patients presenting with TUCSF in the MVA group.
Neurological deficit of C1 and/or C2 fracture.
Characteristics of TUCSF according to ASIA score.
Univariate and multivariate analysis of risk factors for neurological deficit.