Literature DB >> 28820364

Patterns of C-2 fracture in the elderly: comparison of etiology, treatment, and mortality among specific fracture types.

Ingrid Radovanovic1,2, Jennifer C Urquhart3,2, Parham Rasoulinejad1,2, Kevin R Gurr1,2, Fawaz Siddiqi1,2, Christopher S Bailey1,2.   

Abstract

OBJECTIVE Previous studies have focused on Type II odontoid fractures and have failed to report on the effect of other C-2 fracture types on treatment and outcome. The purpose of this study was to compare patient characteristics, cause of injury, predisposing factors to fracture, treatments, and mortality rates among C-2 fracture types in a cohort of elderly patients 70 years of age and older. METHODS A retrospective cohort study design was used. Patients who sustained a C-2 fracture between 2002 and 2011 and who were admitted to the authors' Level 1 trauma center were identified using the Discharge Abstract Database and the International Statistical Classification of Diseases and Related Health Problems (ICD-10) code S12.1. Fractures were classified as odontoid Type I, II, or III; hangman's; C-2 complex (hangman's appearance on sagittal images, Type III odontoid on coronal cuts); and other (miscellaneous). Age, sex, predisposing factors to falls, cause of injury, treatment, presence of autofusion in the subaxial cervical spine, and mortality rates were compared between fracture patterns. RESULTS One hundred forty-one patients were included; their mean age was 82 years. Fractures included Type II odontoid (57%), complex (19%), Type III odontoid (11%), hangman's (8%), and other (5%). Falls from a standing height accounted for 47% of injuries, and 65% of patients had ≥ 3 risk factors for falls. Subaxial autofusion was more common in odontoid fractures (p = 0.002). Treatment was mainly nonoperative (p < 0.0001). The 1-year mortality rate was 27%. Four patients died of spinal cord injury. CONCLUSIONS Although not as common as Type II odontoid fractures, other C-2 fractures including hangman's, complex, and Type III odontoid fractures accounted for close to half of the injuries in the study cohort. There were few differences between the fracture types with respect to cause of injury, predisposing factors, or mortality rate. However, surgical treatment was more common for Type II odontoid fractures.

Entities:  

Keywords:  SCI = spinal cord injury; autofusion; cervical spine; demographics; fracture; geriatric; mortality rate; trauma

Mesh:

Year:  2017        PMID: 28820364     DOI: 10.3171/2017.3.SPINE161176

Source DB:  PubMed          Journal:  J Neurosurg Spine        ISSN: 1547-5646


  6 in total

1.  Comparison of clinical and radiological outcomes between modified Gallie graft fusion-wiring technique and posterior cervical screw constructs for Type II odontoid fractures.

Authors:  Hui Wang; Rui Xue; Lumei Wu; Wenyuan Ding; Lei Ma
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

2.  Characteristics and Management of Emergency Department Patients Presenting with C2 Cervical Spine Fractures.

Authors:  Allison Tadros; Melinda Sharon; Kristen Craig; William Krantz
Journal:  Biomed Res Int       Date:  2019-05-15       Impact factor: 3.411

3.  Traumatic spinal cord injury caused by low falls and high falls: a comparative study.

Authors:  Zhen-Rong Zhang; Yao Wu; Fang-Yong Wang; Wen-Jing Wang
Journal:  J Orthop Surg Res       Date:  2021-03-27       Impact factor: 2.359

4.  Proposal of New Radiological Classification and Treatment Strategy for Transverse Fractures of the C2 Axis Body.

Authors:  Sung-Kyu Kim; Jong-Hyun Ko; Jong-Beom Park; Hyoung-Yeon Seo; Dong-Gune Chang; Kibong Chang
Journal:  Orthop Surg       Date:  2021-05-27       Impact factor: 2.071

5.  Predictors of 30-Day Unplanned Readmissions, Complications, and Mortality Following Operative Management of C2 Fractures.

Authors:  David N Bernstein; Caroline Thirukumaran; Brandon Raudenbush; Robert W Molinari; Emmanuel N Menga; Addisu Mesfin
Journal:  Global Spine J       Date:  2019-05-01

6.  Odontoid fractures: impact of age and comorbidities on surgical decision making.

Authors:  Syed Ali Mujtaba Rizvi; Eirik Helseth; Pål Rønning; Jalal Mirzamohammadi; Marianne Efskind Harr; Tor Brommeland; Mads Aarhus; Christina Teisner Høstmælingen; Håvard Ølstørn; Pål Nicolay Fougner Rydning; Magnus Mejlænder-Evjensvold; Nils Christian Utheim; Hege Linnerud
Journal:  BMC Surg       Date:  2020-10-14       Impact factor: 2.102

  6 in total

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