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ImportanceFirearm injuries are associated with devastating visual outcomes. Several studies have demonstrated disparities in trauma care and discharge to rehabilitation and other advanced care facilities (ACFs) due to race and ethnicity and insurance status. The identification of possible disparities in disposition of patients admitted with firearms-associated ocular injuries (FAOIs) is a crucial step in moving toward health equity.ObjectiveTo describe disposition patterns following admission for FAOI trauma.Design, Setting, and ParticipantsThis retrospective analysis of National Trauma Data Bank (NTDB) from 2008 through 2014 used hospitalized trauma cases from over 900 US facilities detailed in the NTDB. Participants included patients admitted with ocular injuries. Statistical analysis was conducted between April 16, 2017, and December 15, 2021.ExposureFirearm injuries.Main Outcomes and MeasuresPatients admitted with FAOIs were identified using International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes and E-codes. Demographic data, location, injury type and severity, and insurance status were documented. The primary outcome was the odds of discharge to ACFs.ResultsA total of 8715 of 235 254 firearms injuries involved the eye (3.7%). Of the 8715 included patients, 7469 were male (85.7%), 3050 were African American (35.0%), and 4065 White (46.6%), with a mean (SD) age of 33.8 (16.9) years. Common payments were government insurance (31.5%), self-paid insurance (29.4%), and commercial insurance plans (22.8%). Frequent dispositions were home (48.8%) and ACF (20.5%). Multivariate analysis demonstrated that the following factors were associated with the highest odds of discharge to an ACF: hospital stays 6 days or longer (odds ratio [OR], 3.05; 95% CI, 2.56-3.63; P < .001), age 65 years or older (OR, 2.94; 95% CI, 1.94-4.48; P < .001), associated traumatic brain injury (OR, 2.32; 95% CI, 1.94-2.78; P < .001), severe traumatic brain injury (OR, 2.10; 95% CI, 1.79-2.46; P < .001), and very severe Injury Severity Score (OR, 2.22; 95% CI, 1.88-2.62; P < .001). White race (OR, 2.00; 95% CI, 1.71-2.33; P < .001) was associated with higher odds than Medicare insurance (OR, 1.64; 95% CI, 1.16-2.31; P = .01).Conclusions and RelevanceThese findings suggest that older, more severely injured, Medicare-insured, or White patients have higher odds of ACF placement than younger, less severely injured, otherwise insured, and Black and Hispanic patients. This study is limited by its retrospective nature and the study team was unable to explore the basis for these disposition differences. Nevertheless, this work highlights that disparities may exist in disposition after FAOIs that may limit the rehabilitation potential of specific populations.

Glaucoma is a leading cause of preventable blindness globally. Nearly, half of the patients who have glaucoma in the United States are unaware of their diagnosis, and this number is far greater in resource poor areas. The risk of progressive and irreversible loss of vision is decreased with an early diagnosis, and better access to treatment is vital to improve the visual outcome for patients. We therefore postulated that a minimally invasive, low-cost calculator used to predict the risk of glaucoma and inform the course of follow-up care will improve patient prognosis. We retrospectively examined data from 104 eyes of patients who underwent a complete ocular examination, visual field, and corneal pachymetry at Advanced Eye Care of New York (54 with glaucoma and 50 controls). Receiver operating curves (ROC) were utilized to determine the correct glaucoma classification rates of the Laroche glaucoma calculator (Range −3 to 18), a novel tool that combines age, intraocular pressure (IOP), and central corneal thickness (CCT) into a composite metric. Additionally, we compared the discriminatory power of this calculator to age, intraocular pressure (IOP), and central corneal thickness (CCT) separately. A score of greater than or equal to 6 on the Laroche glaucoma calculator (sensitivity 90.74%, specificity 64.00%, correct classification 77.88%) optimizes the accuracy of this tool. Compared to IOP (Area Under the Curve (AUC) = 0.72, chi2 = 4.21, p = 0.04 ) and CCT (AUC = 0.53), chi2 24.72 p < 0.001 ), the Laroche glaucoma calculator (AUC = 0.81) was significantly better at discriminating against glaucoma patients vs. controls. These results demonstrate that the Laroche calculator is a novel, effective tool for identifying glaucoma, and it may provide a low-cost risk stratification tool, particularly in areas with limited resources.