Effects of Teprotumumab on Eyelid Retraction in Thyroid Eye Disease.

PURPOSE: This study evaluates the efficacy of teprotumumab in reducing eyelid retraction in thyroid eye disease (TED) patients. METHODS: This retrospective study included patients with active or chronic moderate-to-severe TED who completed at least 4 cycles of teprotumumab. Patients with upper and/or lower eyelid retraction, defined as margin-to-reflex distance (MRD) 1 and/or MRD2 of more than 5 mm, in one or OU were included. The main outcome measure was a change in MRD1 and MRD2 after treatment. Changes in MRD1 and MRD2 were each analyzed for correlation (r) with changes in exophthalmolmetry. Student t test was performed for each comparison, and p values <0.05 were considered significant. RESULTS: The study included 91 patients, predominantly female (87%), with an average age of 52.02 ± 14.6 years. The mean baseline proptosis measurement was 21.8 ± 2.9 OD and 21.7 ± 3.3 OS. The average MRD1 was 5.5 ± 1.5 OD and 5.4 ± 1.7 OS, and the average MRD2 was 6.1 ± 1.1 OD and 6.2 ± 1.1 OS. The follow-up duration post-treatment was 37.5 ± 31.7 weeks. At first follow-up post-treatment, the mean change in proptosis, MRD1, and MRD2 were -2.6 ± 2.0 OD, -2.5 ± 2.1 OS, -0.8.5 ± 1.4 OD, -0.8 ± 1.0 OS, and -0.7 ± 0.9 OD, -0.8 ± 1.0 OS, respectively. Correlation analysis showed that proptosis reduction was positively correlated with MRD1 and MRD2 reduction at the first post-treatment follow-up (MRD1: r = 0.23, p value < 0.01; MRD2: r = 0.17, p = 0.03]. CONCLUSION: Teprotumumab treatment improves upper and lower eyelid retraction. The improvement in MRD correlated positively with proptosis reduction, indicating the influence of globe position on eyelid position.

Social determinants of health and health disparities in glaucoma: A review.

Social determinants of health and barriers to care can significantly impact patients' access to glaucoma care and treatment, resulting in disparities within disease presentation, progression, management, and treatment outcomes. The widespread adoption of electronic health record systems has allowed researchers and clinicians to further explore these relationships, identifying factors such as race, ethnicity, and socioeconomic status to be risk factors for more severe disease and lower treatment adherence. These disparities highlight potential targets for interventions to combat these disparities and improve overall patient outcomes. This article provides a summary of the available data on health disparities within glaucoma disease presentation, progression, management, treatment, and outcomes and discusses interventions to improve care delivery and outcomes among patients with glaucoma.

A Suspicious Pigmented Lesion of the Conjunctiva.

A 74-year-old woman with a history of breast cancer, now in remission, presented for evaluation of a conjunctival lesion of the right eye. What would you do next?

Social and Health Care Utilization Factors Associated With Ophthalmic Visit Nonadherence in Glaucoma: An All of Us Study.

PRCIS: In a diverse nationwide cohort, lower education and income levels, cost saving on medications, fewer past-year medical/specialist visits, and concerns regarding dissimilarity with health care providers were risk factors for ophthalmic visit nonadherence among glaucoma patients. PURPOSE: The purpose of this study was to characterize social and health care utilization factors associated with nonadherence with ophthalmic visits among patients with glaucoma. MATERIALS AND METHODS: Glaucoma patients in the All of Us database who completed the Healthcare Access and Utilization Survey were included and categorized into "visit" and "nonvisit" groups based on visit adherence, defined by self-reported past-year encounters with eyecare providers (yes/no). Data regarding potential factors affecting ophthalmic visit adherence, including past-year medical visits, inabilities to afford health care, and self-reported reasons for delayed care, were extracted. χ 2 tests and logistic regression were used to compare the 2 groups. Odds ratios (ORs) of visit adherence were analyzed for potential risk factors. RESULTS: Of 5739 glaucoma patients, 861 (15%) were in the nonvisit group. More participants in the visit group reported past-year general doctor/specialist visits (94%/65%; vs. nonvisit group: 89%/49.3%; P <0.05). The nonvisit group reported greater difficulty in affording medical care and learning about medical conditions, and higher rates of delayed/missed health care access for various concerns ( P <0.05). Older age (OR=1.02, 1.01-1.03), higher education (OR=1.25, 1.13-1.40), and income level (OR=1.06, 1.01-1.11), not employed for wages (OR=1.28, 1.08-1.53), and higher health care utilization in general medical/specialist visits (ORs range:1.08-1.90) were associated with visit adherence ( P <0.05). Visit nonadherence was associated with cost saving on medication (OR=0.62, 0.40-0.97) and delaying/avoiding seeing health care providers because of dissimilarity (OR=0.84, 0.71-0.99) ( P <0.05). CONCLUSIONS: This study builds on prior literature by identifying potentially modifiable factors associated with visit nonadherence and underutilization of eyecare in glaucoma. These may inform strategies to improve real-world ophthalmic visit adherence and identify patients who might benefit from additional support.

Racial, Ethnic, and Socioeconomic Disparities in Glaucoma Onset and Severity in a Diverse Nationwide Cohort in the United States.

PRCIS: Racial/ethnic minorities are diagnosed with glaucoma at younger ages, and Blacks are more likely to be diagnosed with moderate-to-severe glaucoma. In addition, we highlight a gap in the use of diagnosis codes. PURPOSE: The purpose of this study was to analyze patterns of diagnosis coding usage and validate epidemiologic patterns of glaucoma onset and severity among primary glaucoma patients within the National Institutes of Health All of Us database. PATIENTS AND METHODS: We used International Classification of Disease diagnosis codes to build 4 cohorts of patients with mild, moderate, severe, and unspecified stage glaucoma (N=2982). Descriptive analyses were stratified by disease stage, and mean age at diagnosis was compared across racial and ethnic groups. Multivariable ordinal regression was used to examine risk factors for increasing glaucoma severity. RESULTS: Of 2982 participants, 1714 (57%) had unspecified severity staging. Black/African Americans and other races were diagnosed with glaucoma at significantly younger ages compared with Whites (means 60 and 60 vs. 66 y; P <0.001). Hispanic/Latino participants also had an earlier mean age of diagnosis (61 vs. 65 y; P =0.001). Black/African Americans had higher odds of more severe glaucoma (odds ratio: 2.20, 95% CI, 1.62-3.30; P <0.001) than Whites when adjusting for socioeconomic characteristics. CONCLUSIONS: Black, Hispanic/Latino, and other minority participants are diagnosed with glaucoma at younger ages, and Blacks are more likely to be diagnosed with moderate-to-severe glaucoma. These findings validate prior population-based studies. Furthermore, we observed a gap in the use of diagnosis codes, as only 43% of participants had a specified severity stage in this national cohort. This may have implications for large-scale observational research concerning glaucoma severity, as electronic health records and claims databases typically lack other measures of disease progression, such as imaging and visual field data.

Associations between Socioeconomic Factors and Visit Adherence among Patients with Glaucoma in the All of Us Research Program.

PURPOSE: To identify socioeconomic factors associated with visit adherence among patients with glaucoma in a nationwide cohort. DESIGN: Cross-sectional study. SUBJECTS: All subjects were participants in the National Institutes of Health All of Us Research Program. This study cohort consists of participants who were diagnosed with glaucoma and who answered the question on the Health Care Access and Utilization Survey regarding whether they have seen an eye care provider in the last 12 months. METHODS: Descriptive analyses were conducted based on participant age, gender, race/ethnicity, insurance status, level of education, and income bracket. Multivariable logistic regression adjusting for these factors was used to generate odds ratios (ORs) for the association between socioeconomic factors and visit adherence. MAIN OUTCOME MEASURE: Visit adherence, defined as reporting seeing an eye care provider in the last 12 months. RESULTS: Among 4517 patients with glaucoma, 730 (16.3%) indicated that they had not seen or spoken to an eye doctor in the last 12 months. In multivariable models, those with some college education (OR: 1.91; 95% confidence interval [CI]: 1.19-3.04) and those with a college degree or advanced degree (OR: 2.25; 95% CI: 1.39-3.60) and those with the highest annual income of ≥ $200 000 (OR: 1.64; 95% CI: 1.10-2.45) were more likely to have seen an eye doctor in the past year compared with those in the lowest education and income categories, respectively. CONCLUSION: Lower income and education levels were significantly associated with lower odds of seeing an eye doctor in the past year among all patients with glaucoma in All of Us. This highlights an important health disparity and may inform subsequent interventions to promote improved adherence to clinical guidelines regarding eye care for glaucoma monitoring and management. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.