» Articles » PMID: 38959998

Social Factors Associated with the Risk of Glaucoma Suspect Conversion to Glaucoma: Analysis of the Nationwide All of Us Program

Overview
Date 2024 Jul 3
PMID 38959998
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To examine social factors associated with the 5-year risk of glaucoma suspects (GS) converting to open-angle glaucoma (OAG).

Design: Retrospective cohort analysis.

Subjects: We screened for participants diagnosed with GS in the All of Us database. Cases that converted to OAG within 5 years of GS diagnosis (the "conversion group") were compared with control cases that did not convert.

Methods: Demographic, socioeconomic and health-care utilization data of the cases were extracted and compared between the conversion group and the control group. Multivariable Cox proportional hazards modeling was used to identify potential factors associated with the risk of conversion.

Main Outcome Measures: Hazard ratios (HRs) of significant factors associated with the risk of conversion.

Results: A total of 5274 GS participants were identified, and 786 (15%) cases converted to OAG within 5-year follow-up. The 2 groups showed significant differences in age, race, gender, employment status, income/education level, history of intraocular surgery, and health-care utilization patterns. In the multivariable model, African American/Black race (HR : 1.70 [95% confidence interval (CI), 1.44-2.00]), older age at GS diagnosis (1.17 [95% CI, 1.09-1.25]), male gender (1.30 [95% CI, 1.13-1.50], no history of recreational drug use (1.23 [1.07-1.42]), history of intraocular surgery (1.60 [95% CI, 1.02-1.53]), and having more reasons for delayed health-care access (2.27 [95% CI, 1.23-4.18]) were associated with a greater hazard of conversion, while being employed (0.71 [95% CI, 0.60-0.86]) was associated with a smaller hazard of conversion (P < 0.05 for all).

Conclusions: Several social factors were associated with the conversion from GS to OAG, which may help to identify patients at higher risk of disease progression. Future studies are needed to examine the basis for these findings and the potential interventions that could address them.

Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

References
1.
Leshno A, Shukla A, Liebmann J . Is it Time to Revisit Glaucoma Suspect Nomenclature?. Ophthalmol Glaucoma. 2024; 7(3):219-221. DOI: 10.1016/j.ogla.2024.02.003. View

2.
Wu J, Varkhedi V, Radha Saseendrakumar B, Acuff K, Weinreb R, Baxter S . Social and Health Care Utilization Factors Associated With Ophthalmic Visit Nonadherence in Glaucoma: An All of Us Study. J Glaucoma. 2023; 32(12):1029-1037. PMC: 10840877. DOI: 10.1097/IJG.0000000000002300. View

3.
Vajaranant T, Nayak S, Wilensky J, Joslin C . Gender and glaucoma: what we know and what we need to know. Curr Opin Ophthalmol. 2010; 21(2):91-9. PMC: 4326058. DOI: 10.1097/ICU.0b013e3283360b7e. View

4.
Chang R, Singh K . Glaucoma Suspect: Diagnosis and Management. Asia Pac J Ophthalmol (Phila). 2016; 5(1):32-7. DOI: 10.1097/APO.0000000000000173. View

5.
Medeiros F, Weinreb R, Sample P, Gomi C, Bowd C, Crowston J . Validation of a predictive model to estimate the risk of conversion from ocular hypertension to glaucoma. Arch Ophthalmol. 2005; 123(10):1351-60. DOI: 10.1001/archopht.123.10.1351. View