Abstract
vehicle crash or assault. Data on the independent variables age, gender, mechanism of injury (fall, motor vehicle crash, and assault), Injury Severity Score (ISS), alcohol and drug use with the ICD-9 codes 802.0 to 802.9, 800.1 to 801.9, 803.0 to 804.9, E880 to E888, E810 to E819, and E960 to 969 were obtained. These were assessed for their independent and cumulative association with geriatric facial trauma as determined by the Facial Injury Severity Score (FISS). Standard descriptive statistics (mean, median, standard deviations, range, and percentages) to describe demographic data and parametric statistics (Pearson correlation, independent two way t test, one ANOVA, and multiple linear regression) were conducted and found significant at the p .05 level. When found significant, post hoc pair wise comparisons with Bonferroni adjustments were conducted and found significant at the p .016 level. A priori and post hoc power analyses for multiple linear regressions to distinguish an effect size of 0.1, or a 10% difference in FISS between groups, with a power of 0.80 and 13 predictors which required a total sample size of 190. Results of Investigation: A total of 229 individuals met the inclusion criteria and were entered into this study. The average age of the sample was 80.2 / 2.1 years (Range 65 100) with an average FISS of 2.4 / 1.1 (Range 1 15). Mechanism of injury was the only risk factor statistically significantly associated (p .05) with the severity of geriatric facial trauma. Assaults were specifically associated (p .016) with the greatest severity of geriatric facial trauma. There were no independent (p .05) or cumulative association (p .05) between age, gender, drug use, alcohol use, and ISS and the severity of geriatric facial trauma. Post hoc power analysis revealed an 89.9% power in this sample. Conclusions: Assault was the specific mechanism of injury that had the greatest association with the severity of geriatric facial trauma. There were no statistically significant associations with the other independent risk factors even when controlling for all the other factors.
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