Dataset Information

Functional outcomes, morbidity, mortality, and fracture healing in 58 consecutive patients with geriatric odontoid fracture treated with cervical collar or posterior fusion.

ABSTRACT: Controversy exists as to the most effective management option for elderly patients with type II odontoid fractures. The purpose of this study is to evaluate outcomes associated with rigid cervical collar and posterior fusion surgery. Patients with ≥ 50% odontoid displacement were treated with posterior fusion surgery including C1-2 (PSF group, n = 25, average age = 80 years). Patients with < 50% odontoid displacement were treated with a rigid cervical collar for 12 weeks (collar group, n = 33, average age = 83 years). These inhomogeneous groups were followed for an average of 14 months. Fracture healing rates were higher in the operative group (28% versus 6%). Neck Disability Index scores were slightly lower in the nonoperative group (13 versus 18.3, p = 0.23). Analogue pain scores were also slightly lower in the nonoperative group (1.3 versus 1.9, p = 0.26). The mortality rate was 12.5% in the collar group and 20% in the operative group. Complications were higher in the operative group (24% versus 6%). Rates of type II odontoid facture healing and stability appear to be higher in geriatric patients treated with posterior fusion surgery. Fracture healing and stability did not correlate with improved outcomes with respect to levels of pain, function, and satisfaction. Mortality and complication rates are lower in those patients with lesser-displaced fractures who are treated with a cervical collar and early mobilization.

SUBMITTER: Molinari WJ

PROVIDER: S-EPMC3854588 | biostudies-other | 2013 Mar

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:STUDY DESIGN:Cost-effectiveness analysis. OBJECTIVE:To examine the cost-effectiveness of operative versus non-operative treatment of type-II odontoid fractures in patients older than 64 years old. SUMMARY OF BACKGROUND DATA:Significant controversy exists regarding the optimum treatment of geriatric patients with type-II odontoid fractures. Operative treatment leads to lower rates of non-union but carries surgical risks. Non-operative treatment does not carry surgical risks but has higher non-union rates. METHODS:A decision-analytic model was created to compare operative and non-operative treatment of type-II odontoid fractures among three age cohorts (65-74, 75-84, >84) based on expected costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICERs; cost per QALY gained). Age-specific mortality rates for both treatments, costs for treatment, and complication rates were taken from the literature, and data from 2010 US life tables were used for age-specific life expectancy. Costs of complications were estimated using data obtained at a level-I trauma center using micro-costing. Sensitivity analyses of all model parameters were conducted. RESULTS:Among the 65- to 74-year-old cohort, operative treatment was more costly ($53,407 vs. $30,553) and more effective (12.00 vs. 10.11 QALY), with an ICER of $12,078/QALY. Among the 75- to 84-year-old cohort, operative treatment was more costly ($51,308 vs. $29,789) and more effective (6.85 vs. 6.31 QALY), with an ICER of $40,467/QALY. Among the over-84 cohort, operative treatment was dominated by non-operative treatment as it was both more costly ($45,978 vs. $28,872) and less effective (2.48 vs. 3.73 QALY). The model was robust to sensitivity analysis across reasonable ranges for utility of union, disutility of complications and delayed surgery, and probabilities of non-union and complications. CONCLUSION:Operative treatment is cost-effective in patients age 65 to 84 when using $100,000/QALY as a benchmark but less effective and more costly than non-operative treatment in patients older than 84 years. LEVEL OF EVIDENCE:2.

Project description:The WHO definition of osteoporosis excludes cervical fractures. Recent studies suggest that atraumatic odontoid fractures (OF) may be favored by osteoporosis but global bone status for osteoporosis diagnosis has not been described. We present a case series of patients >65 years old hospitalized for low-energy OF who had an evaluation of their bone status within 3 months after fracture, including clinical risk factors of osteoporosis, bone mineral density (BMD), vertebral fracture assessment (VFA) by dual X-ray absorptiometry, and laboratory tests. Osteoporosis was defined as a T-score ≤ -2.5 on at least one site, or a bone fragility fracture associated with a T-score ≤ -1 at one site. Thirty-three patients were hospitalized for OF, 30 of them as a consequence of a low-energy impact: 20 women and 10 men (mean age: 85 years). Eight patients died before bone evaluation, four refused, and six were lost to follow-up. Twelve patients were included: 11 women and one man (mean age: 83.8 years). Ten out of twelve patients fulfilled diagnostic criteria of osteoporosis, including eight with previous osteoporotic fractures (six severe fractures). Eight fulfilled specific treatment of osteoporosis criteria, but only two were treated. The mean follow-up period was 12.2 ± 4.1 months. Prior to OF occurrence, all lived at home and were independent; at the time of discharge, six went to a nursing home. At 3 months of follow-up (n = 10), one was dead and nine lived at home. At 12 months (n = 9), two were dead and seven lived at home. This study provides for the first time a classical evaluation of osteoporotic status for low-energy OF in the elderly and shows that it occurs in osteoporotic subjects. These preliminary results require larger-scale studies to determine whether OF could be considered as a severe osteoporotic fracture. © 2018 The Authors. JBMR Plus is published by Wiley Periodicals, Inc. on behalf of the American Society for Bone and Mineral Research.

Dataset Information

Functional outcomes, morbidity, mortality, and fracture healing in 58 consecutive patients with geriatric odontoid fracture treated with cervical collar or posterior fusion.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets