C2 Fractures in the Elderly: Single-Center Evaluation of Risk Factors for Mortality
- Author:
Hoi Ying H CHAN
1
;
Frank A SEGRETO
;
Samantha R HORN
;
Cole BORTZ
;
Godwin G CHOY
;
Peter G PASSIAS
;
Hamish H DEVERALL
;
Joseph F BAKER
Author Information
- Publication Type:Original Article
- Keywords: Fracture; Axis; Mortality; Charlson Comorbidity Index; Modified Frailty Index
- From:Asian Spine Journal 2019;13(5):746-752
- CountryRepublic of Korea
- Language:English
- Abstract: STUDY DESIGN: Retrospective cohort study. PURPOSE: The aim of this study was to identify features associated with increased mortality risk in traumatic C2 fractures in the elderly, including measures of comorbidity and frailty. OVERVIEW OF LITERATURE: C2 fractures in the elderly are of increasing relevance in the setting of an aging global population and have a high mortality rate. Previous analyzes of risk factors for mortality have not included the measures of comorbidity and/or frailty, and no local data have been reported to date. METHODS: This study comprises a retrospective review of 70 patients of age >65 years at Waikato Hospital, New Zealand with traumatic C2 fractures identified on computed tomography between 2010 and 2016. Demographic details, medical history, laboratory results on admission, mechanism of injury, and neurological status on presentation were recorded. Medical comorbidities were also detailed allowing calculation of the Charlson Comorbidity Index (CCI) and the modified Frailty Index (mFI). RESULTS: The most common mechanism of injury was a fall from standing height (n=52, 74.3%). Mortality rates were 14.3% (n=10) at day 30, and 35.7% (n=25) at 1 year. Bivariate analysis showed that both CCI and mFI correlated with 1-year mortality rates. Reduced albumin and hemoglobin levels were also associated with 30-day and 1-year mortality rates. Forward stepwise logistic regression models determined CCI and low hemoglobin as predictors of mortality within 30 days, whereas CCI, low albumin, increased age, and female gender predicted mortality at 1 year. CONCLUSIONS: The CCI was a useful tool for predicting mortality at 1 year in the patient cohort. Other variables, including common laboratory markers, can also be used for risk stratification, to initiate timely multidisciplinary management, and prognostic counseling for patients and family members.
