Racial and Sociodemographic Disparities in the Detection of Narrow Angles before Detection of Primary Angle-Closure Glaucoma in the United States

Abstract

Purpose: To assess the proportion of newly diagnosed cases of primary angle-closure glaucoma (PACG) with and without prior diagnosis of anatomical narrow angle (ANA) and to identify sociodemographic risk factors for late detection (PACG without prior ANA diagnosis).

Design: Retrospective cohort study.

Methods: One hundred two thousand six hundred seventeen patients with PACG were identified from the Optum Clinformatics Data Mart Database (2007-2019). Patients with newly diagnosed PACG met the following criteria: (1) diagnosis made by an ophthalmologist, (2) disease observable for at least 12 months before diagnosis, and (3) no history of treatment before diagnosis unless preceded by a diagnosis of ANA. Multivariate logistic regression modeling was performed to identify sociodemographic risk factors for late detection.

Main outcome measures: Proportion of patients with newly diagnosed PACG without prior ANA diagnosis and sociodemographic factors associated with late detection.

Results: Thirty-one thousand forty-four patients were eligible. More than 70% of PACG cases were detected without prior ANA diagnosis, regardless of patient age, sex, or race. The odds of late detection were significantly higher (P < 0.001) among men (odds ratio [OR], 1.32; 95% confidence interval [CI], 1.25-1.40), Black patients (OR, 1.25; 95% CI, 1.15-1.37), and patients 80 years of age or older (OR, 1.28; 95% CI, 1.11-1.47) or living in Southern (OR, 1.30; 95% CI, 1.22-1.40) or Pacific (OR, 1.27; 95% CI, 1.16-1.36) regions. Findings were similar for patients with PACG with a record of gonioscopy and treatment or with a 24-month lookback period.

Conclusions: Most patients who receive a new diagnosis of PACG in the United States do not have a prior diagnosis of ANA. The elderly, men, and Black patients are at higher risk of late detection. A need exists for increased disease awareness among providers and more accessible tools to detect patients at risk of developing PACG.

Keywords: Anatomical narrow angles; Angle closure; Big data; Health care claims data; Primary angle-closure glaucoma; Racial disparities.