Literature DB >> 27787377

Traumatic upper cervical spinal fractures in teaching hospitals of China over 13 years: A retrospective observational study.

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


Introduction

Traumatic spinal fractures (TSFs), and traumatic cervical spinal fractures (TCSFs) in particular, are major causes of disability and death; family members of patients can experience shock and sadness, and these fractures can place a heavy burden on patients’ family and society.[1-10] In recent years, only a few studies on the epidemiological characteristics of TSFs and TCSFs have been published.[1-10] The annual incidence of TCSF in the general Norwegian population was reported to be 15.0/100,000. In China, the mean annual incidence of TCSF was 65 cases per 100,000 hospital admissions. To the best of our knowledge, there are few studies discussing the incidence and pattern of traumatic upper cervical spinal fractures (TUCSFs), meaning fracture of the atlas and axis.[11 12] Compared with younger patients with cervical spinal fractures, elderly patients have a greater proportion of upper cervical spinal fractures.[13 14] Falls were the most common trauma mechanism resulting in TCSF, and SCI was observed in 10%. Combined injuries following TCSF are frequently encountered, and their distribution characteristics are well investigated; however, there were no studies on the age and gender distribution, etiologies, anatomical distribution and classifications, neurological deficits, associated injuries (ASOIs), and combined injuries among TUCSF patients.[5–7 10] Overlooking the incidence and pattern may lead to inappropriate and delayed management. Upper cervical spine injuries with severe neurological deficit commonly result in death. In those who survive, upper cervical spine injury is occasionally overlooked due to the lack of characteristic clinical symptoms and sometimes mild or absent neurological deficits. It is very important to evaluate patients presenting with TUCSF in order to diagnose the injury and initiate the appropriate therapeutic measures at an early stage. In the present study, we investigated the incidence and pattern of patients managed for TUCSF in our teaching hospitals in China over 13 years. The incidence rate ratios were then calculated with respect to age, gender, etiology of trauma, anatomical distribution, anatomical classification, ASIA classification of neurological deficit, and ASOIs.

Methods

Study population

This study was a retrospective cross-sectional study. Our study included 351 patients who presented with TUCSF between January 2001 and May 2013 and were admitted to our university affiliated hospitals. The types of spinal fracture and etiologies were coded according to the International Classification of Diseases, 9th revision (ICD-9), by professional medical record coding personnel in the medical record coding department of the hospitals. Data were collected from 2 hospitals (Xinqiao Hospital and Southwest Hospital) affiliated with the Third Military Medical University in Chongqing, China, the 2 largest tertiary hospitals in the Shapingba district, which is a core district located in the northwest region of Chongqing city. The study protocol and publication of the study were approved by the committee on ethics and the institutional review board of our institution.

Data collection

We made definitive diagnoses of TUCSFs in all patients using X-rays, computed tomography (CT), and magnetic resonance imaging (MRI). To control for various biases, the inclusion and exclusion criteria were added, and blinded procedures were used to collect data and control for information bias. The inclusion criteria in this study included all patients admitted to our university-affiliated hospitals who presented with TUCSFs. The exclusion criteria were pathologic or osteoporotic fractures. Medical records were reviewed and assessed by 2 independent persons who did not participate in treating any patients. The mechanisms of trauma included high falls (height ≥2 m), low falls (height <2 m), motor vehicle accidents (MVAs), being struck by an object and other. The ASIA scoring standard was used to assess neurological deficits (ASIA A: complete motor and sensory deficit; ASIA B: complete motor deficit with some remaining sensory function; ASIA C: inefficient motor function; ASIA D: useful remaining motor function; ASIA E: normal motor and sensory function). In our study, “combined injuries” meant injuries involving 2 or more different vertebrae, except for both C1 and C2 fractures. The anatomic classifications of upper cervical spinal fractures were determined using CT images. C1 fractures were classified according to the Landell classification (Type I: fracture of the anterior or posterior arch of the atlas; Type II: fracture of the anterior and posterior arch of the atlas; Type III: fracture of the lateral mass of the atlas). C2 odontoid fractures were classified according to the Anderson classification (Type I: an oblique fracture at the tip of the odontoid process. Type II: a fracture at the neck or base of the odontoid but not extending into the body of the axis. Type III: a fracture extending down into the body of the axis). Incidence rate ratios were then calculated with respect to different age and gender groups, etiology of trauma, anatomical distribution, anatomical classification, ASIA classification of neurological deficit, and ASOIs.

Statistical analysis

Data are expressed as the mean ± standard deviation for continuous variables and as the frequency/percent for categorical variables. All statistical analyses were performed using SPSS 15.0 (SPSS, Inc., Chicago, IL). The basic characteristics of the patients were compared using Mann–Whitney U test (for continuous variables) or Chi-square test (for categorical variables). The measurement data were compared between the 3 groups with 1-way analysis of variance. Univariate and multiple logistic regression analyses were used to analyze the possible factors associated with neurological deficits after TUCSF. The significance level was set at P < 0.05.

Results

This study included 256 (72.9%) male and 95 (27.1%) female patients, for a male-to-female ratio of 2.7. The mean age of the patients was 44.2 ± 16.3 years (range 14–88 years old). The 31- to 40-year-old age group accounted for the largest proportion (n = 80, 22.8%), followed by the 51- to 64-year-old age group (n = 78, 22.2%). The mean age of the patients significantly increased with year of admission, from 35.2 ± 14.5 years to 47.5 ± 17.2 years (P = 0.005) (Tables 1 and 2, Fig. 1). Accidental falls including high and low falls were the most common mechanism of injury (n = 171, 48.7%), and high falls accounted for 104 (29.6% of all fractures). The second most common mechanism was MVA (n = 132, 37.6%), and most patients in this category were motor vehicle drivers (n = 66, 18.8% of all fractures).
Table 1

Characteristics of TUCSF according to admission time from January 2001 to December 2012.

Table 2

Characteristics of TUCSF in China according to different fracture level from 2001 to 2013.

Figure 1

Age distribution of patients presenting with TUCSF.

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. Age distribution of patients presenting with TUCSF. The number of C2 fractures (n = 300, 85.5%) was significantly higher than that of C1 fractures (n = 99, 28.2%) (P < 0.001). Most of the patients (n = 24, 60.0%) who presented with Type I C1 fractures according to Landell classification had experienced high fall injuries. Most of the patients presenting with Type II (n = 13, 41.9%) and Type III (n = 14, 50.0%) C1 fractures according to Landell classification had been injured in MVAs. Most of the patients (n = 18, 30.0%) presenting with Type I C2 fractures according to Anderson classification had suffered a high fall. Most of the patients who presented with Type II (n = 56, 45.2%) and Type III (n = 38, 37.6%) C2 fractures according to Anderson classification were injured in MVAs. There were significantly more C2 fractures (n = 300, 85.5%) than C1 fractures (n = 99, 28.2%). According to Landell classification, Type I C1 fractures were present in 40 (11.4%), Type II C1 fractures in 31 (8.8%), and Type III C1 fractures in 28 patients (8.0%). Type I C1 fractures resulted from high falls significantly more often than from other etiologies (P < 0.001). Type II and Type III C1 fractures and Type II and Type III C2 fractures resulted from MVAs more often than from other etiologies (Table 3). According to Anderson classification, Type I C2 fractures occurred in 75 (21.4%), Type II C2 fractures in 124 (35.3%), and Type III C2 fractures in 101 patients (28.8%). Patients with Type II C2 fractures had the youngest mean age and the largest sex ratio (Table 3, Fig. 2). Eighty-two (23.4%) patients had suffered combined injuries including cervical + thoracic spine (n = 27, 7.7%), cervical + cervical spine (n = 44, 12.5%), cervical + lumbar spine (n = 9, 2.6%), and cervical + thoracic + lumbar spine (n = 2, 0.6%) (Table 2). In the MVA group, most patients presenting with Type I, Type II, Type III C1 fractures were the driver (n = 4, 57.1%), passenger (n = 7, 53.8%), and driver (n = 7, 50.0%), respectively. Most patients presenting with Type I, Type II, Type III C2 fractures were the driver (n = 12, 66.7%), driver (n = 32, 57.1%), and passenger (n = 15, 39.5%), respectively (Fig. 3).
Table 3

Characteristics of C1 according to Landell classification and C2 fracture according to Anderson classification.

Figure 2

Characteristics 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 3

Characteristics of patients presenting with TUCSF in the MVA group.

Characteristics of C1 according to Landell classification and C2 fracture according to Anderson classification. Characteristics 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. Characteristics of patients presenting with TUCSF in the MVA group. A total of 121 (34.5%) patients presented with spinal cord injury (SCI). Using the ASIA scoring standard, 20 patients (5.7% of the total study population) exhibited ASIA A deficits, 7 patients (2.0%) ASIA B, 13 patients (3.7%) ASIA C, and 81 patients (23.1%) ASIA D. Among all the patients with TUCSF, except for those with combined injuries, single C1 fractures accounted for 39, neurological deficits accounted for 9 (23.1%), single C2 fractures accounted for 194, neurological deficits accounted for 62 (32.0%), and both C1 and C2 fractures accounted for 36, neurological deficits accounted for 8 (22.2%) (Table 4). Among all the patients with TUCSF, except for those with combined injuries, single C2 fractures accounted for the highest rate of neurological deficits (Table 2). Most of the patients who presented with ASIA A neurological deficits were associated with a single C2 fracture (n = 14, 70%) (Table 5). Patients presenting with Type I C1 fractures according to Landell classification had the highest rate of neurological deficit (n = 16, 40%) among all patients presenting with C1 fractures. Patients with Type I C2 fractures according to Anderson classification had the highest rate of neurological deficit (n = 24, 40%) among all patients with C2 fractures. Thirty-eight patients assessed as ASIA Grade D evolved to Grade E. Additionally, 12.5% (44/351) of the patients with an incomplete SCI improved 1 or more than 1 grade in the ASIA scoring standard during their hospitalization; 1 patient evolved from ASIA B to Grade D, 4 patients from ASIA C to Grade D, and 1 patient from ASIA C to Grade E. One hundred twenty-seven patients (36.2%) sustained ASOIs. Head injury occurred in 78 (22.2%) patients, thoracic injury in 41 (11.7%), pelvic injury in 6 (1.7%), fracture of an upper extremity in 24 (6.8%), and fracture of a lower extremity in 18 (5.1%) (Table 5).
Table 4

Neurological deficit of C1 and/or C2 fracture.

Table 5

Characteristics of TUCSF according to ASIA score.

Neurological deficit of C1 and/or C2 fracture. Characteristics of TUCSF according to ASIA score. We conducted univariate logistic regression analysis and found that sex (P = 0.090), etiology (P = 0.066), level (P = 0.009), and injury severity scoring (ISS) (P < 0.001) may be risk factors of neurological deficit. Furthermore, the 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 ISS (OR = 1.186, 95% CI: 1.133–1.242, P < 0.001) were independent risk factors of neurological deficit (Table 6).
Table 6

Univariate and multivariate analysis of risk factors for neurological deficit.

Univariate and multivariate analysis of risk factors for neurological deficit.

Discussion

MVAs were the most common mechanism of TUCSFs in this study, followed by high falls. These findings are consistent with a study conducted by Clayton et al, who noted that MVAs and falls were independent factors associated with cervical spine injuries. There were 260 male and 91 female patients in this study. The results can be explained by the fact that males may be more involved in daily activities and more frequently hurt. The 31 to 40 years age group accounted for the highest rate of TUCSFs, and we should thus pay close attention to the prevention and treatment of MVAs and high falls among 31- to 40-year-old people in particular. The most common fractured vertebral body was C2. In the present study, 23.4% of the 351 patients had combined injuries, with cervical + cervical spine (12.5%) and cervical + thoracic spine (7.7%) representing the most common types. A total of 1.7% of the patients with lower cervical spine injuries had sustained a combined injury in the upper cervical spine in a previous study. In our study, a total of 12.5% of the patients with upper cervical spinal fracture had sustained a combined injury in the lower cervical spinal fracture. The neurological deficits in patients presenting with TUCSF can be absent or mild. This occurs because the sagittal diameter of the upper cervical spinal canal is wider than that of the lower cervical spine and the spinal cord can move up and down according to the movement of the cervical spine.[16 17] This should allow the upper cervical spinal cord to resist injury to some extent. Neurological deficits, although mild, may be a consequence of an unstable injury that could result in death if left unattended. Therefore, it is necessary to have sufficient knowledge of the characteristic neurological deficits associated with upper cervical spine injury according to the etiologies and anatomical classifications. In the present study, Type I C1 fractures resulted from high falls significantly more often than from other etiologies. Type II and Type III C1 fractures and Type II and Type III C2 fractures resulted from MVAs more than from other etiologies. Patients presenting with Landell classification Type I C1 fractures had the highest rate of neurological deficits. Accordingly, we should pay close attention to patients injured by high falls and those who present with Landell classification Type I C1 fractures. In our study population, the presence of neurological deficits and ASOIs was 34.5% and 36.2%, respectively. Among all patients with TUCSF, except for those with combined injuries, single C2 fractures accounted for the highest rate of neurological deficits. A previous study showed that the incidence of neurological deficits in upper cervical spine injury was 33%, which was consistent with our study. The most frequently observed ASOIs were head injuries, followed by thoracic injuries. We should pay close attention to these injuries and protect these patients from aggravating nervous injuries, respiratory dysfunction, or death.[20-22] Because CT examinations of the cervical spine were not performed at the time of injury in some patients, the diagnosis of cervical spinal fracture was delayed, and more operations were necessary. Imura et al noted that surgeons should consider the possibility of cervical fractures, especially in patients who are comatose at injury to avoid unnecessary surgical treatment. Our data are consistent with the findings that combined injuries and ASOIs in TUCSF are common. If fractures are suspected, additional radiographs, especially CT scans or MRIs, should be conducted as soon as possible after the injury to ensure that the diagnoses and appropriate therapeutic measures are determined at an early stage. Surgical treatment was performed in 211 patients (60.1%), and anterior or posterior minimally invasive surgery (APMIS) was performed in 36 patients (10.3%). The surgical technique of microendoscopic anterior release, reduction, fixation, and fusion is a safe and reliable minimally invasive option for treating traumatic upper cervical injuries and has several potential advantages including less tissue trauma and better accuracy.[24 25] Iso-C3D-based image-guided percutaneous cervical screw placement has been shown to be a feasible minimally invasive treatment option for uncomplicated cervical fractures. The integration of minimally invasive surgical techniques and intraoperative 3D navigation has been proven to be feasible and safe for treating Hangman fracture, with significantly reduced iatrogenic soft tissue injury. Computer navigation can also increase the accuracy of dorsal lateral mass screw fixation in spinal trauma. With the development of minimally invasive spine surgeries including advanced surgical instruments and intraoperative navigation systems, TUCSFs can be treated with reduced morbidity, blood loss, and length of hospital stay. This study has several limitations. First, the retrospective study design and the small number of patients are limitations. Second, our results did not provide the in-hospital mortality rate because 35 (10.0%) patients stopped receiving treatment and left the hospital within 5 days. This can be explained by financial reasons. In developing countries such as China, the government manages most of the medical insurance. Most low-income people such as laborers and peasants have to pay the high medical costs at their own expense because of the low rates of medical insurance coverage; accordingly, they terminated their treatment.[9 10 29] Therefore, we were unable to measure the in-hospital mortality rate. Third, there may be a selection bias because this study included patients referred to our teaching hospitals.

Conclusions

The most common causes of TUCSF were MVAs and high falls; single C2 fractures, excluding combined injuries, accounted for the most common neurological deficits. Combined injuries represented a high proportion, especially cervical + cervical spine injuries. Different etiologies resulted in different specific anatomical classification of fractures and different rates of accompanying neurological deficits. High falls resulted in significantly more Type I C1 fractures than other etiologies. Patients presenting with Landell classification Type I C1 fractures had the highest rate of neurological deficits. We should strive to make early diagnoses and provide timely treatment according to the different patterns of TUCSF.
  29 in total

1.  The lateral roentgenogram of the neck; with comments on the atlanto-odontoid-basion relationship.

Authors:  M H WHOLEY; A J BRUWER; H L BAKER
Journal:  Radiology       Date:  1958-09       Impact factor: 11.105

2.  Minimally invasive anterior transarticular screw fixation and microendoscopic bone graft for atlantoaxial instability.

Authors:  Jian Wang; Yue Zhou; ZhengFeng Zhang; ChangQing Li; WenJie Zheng; Yuan Zhang
Journal:  Eur Spine J       Date:  2012-08       Impact factor: 3.134

3.  Accuracy of screw placement and radiation dose in navigated dorsal instrumentation of the cervical spine: a prospective cohort study.

Authors:  Michael Kraus; Stephanie von dem Berge; Mario Perl; Gert Krischak; Sebastian Weckbach
Journal:  Int J Med Robot       Date:  2013-12-23       Impact factor: 2.547

4.  Studies in cervical spondylotic myelopathy. I. Movement of the cervical roots, dura and cord, and their relation to the course of the extrathecal roots.

Authors:  C B Adams; V Logue
Journal:  Brain       Date:  1971       Impact factor: 13.501

5.  Epidemiology of traumatic spinal fractures: experience from medical university-affiliated hospitals in Chongqing, China, 2001-2010.

Authors:  Hongwei Wang; Yuan Zhang; Qiang Xiang; Xuke Wang; Changqing Li; Hongyan Xiong; Yue Zhou
Journal:  J Neurosurg Spine       Date:  2012-09-14

6.  Traumatic occipitoatlantal dislocation.

Authors:  I Montane; F J Eismont; B A Green
Journal:  Spine (Phila Pa 1976)       Date:  1991-02       Impact factor: 3.468

7.  Recent trends in mortality and causes of death among persons with spinal cord injury.

Authors:  M J DeVivo; J S Krause; D P Lammertse
Journal:  Arch Phys Med Rehabil       Date:  1999-11       Impact factor: 3.966

8.  Incidence and pattern of cervical spine injury in blunt assault: it is not how they are hit, but how they fall.

Authors:  Narong Kulvatunyou; Randall S Friese; Bellal Joseph; Terence O'Keeffe; Julie L Wynne; Andrew L Tang; Peter Rhee
Journal:  J Trauma Acute Care Surg       Date:  2012-01       Impact factor: 3.313

9.  Prognosis of neurological deficits associated with upper cervical spine injuries.

Authors:  Y Fujimura; Y Nishi; K Chiba; K Kobayashi
Journal:  Paraplegia       Date:  1995-04

10.  Epidemiology and predictors of spinal injury in adult major trauma patients: European cohort study.

Authors:  Rebecca M Hasler; Aristomenis K Exadaktylos; Omar Bouamra; Lorin M Benneker; Mike Clancy; Robert Sieber; Heinz Zimmermann; Fiona Lecky
Journal:  Eur Spine J       Date:  2011-06-05       Impact factor: 3.134

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Authors:  Ahmed Bakhsh; Ahmed Alzahrani; Ali Hassan Aljuzair; Umair Ahmed; Hany Eldawoody
Journal:  Int J Spine Surg       Date:  2020-12-29

2.  Traumatic Chance Fracture of Cervical Spine: A Rare Fracture Type and Surgical Management.

Authors:  Keyvan Eghbal; Hamid Reza Abdollahpour; Fariborz Ghaffarpasand
Journal:  Asian J Neurosurg       Date:  2018 Jul-Sep
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