Ontology highlight
ABSTRACT: Purpose
To elucidate the impact of demographics, including gender, race, ethnicity, and preferred language, on regional visual field (VF) loss and progression in glaucoma.Methods
Multivariable linear mixed regressions were performed to determine the impact of race, ethnicity, and preferred language on regional VF loss with adjustment for age and gender. Regional VF loss was defined by pointwise total deviation values and VF loss patterns quantified by an unsupervised machine learning method termed archetypal analysis. All cross-sectional and longitudinal analyses were performed both without and with adjustment for VF mean deviation, which represented overall VF loss severity. P values were corrected for multiple comparisons.Results
All results mentioned had corrected P values less than 0.05. Asian and Black patients showed worse pointwise VF loss than White patients with superior hemifield more affected. Patients with a preferred language other than English demonstrated worse pointwise VF loss than patients with English as their preferred language. Longitudinal analyses revealed Black patients showed worse VF loss/year compared to White patients. Patients with a preferred language other than English demonstrated worse VF loss/year compared to patients preferring English.Conclusions
Blacks and non-English speakers have more severe VF loss, with superior hemifield being more affected and faster VF worsening.Translational relevance
This study furthered our understanding of racial, ethnic, and socioeconomic disparities in glaucoma outcomes. Understanding the VF loss burden in different racial, ethnic, and socioeconomic groups may guide more effective glaucoma screening and community outreach efforts. This research could help reduce vision loss and improve quality of life in disproportionately affected populations by guiding public health efforts to promote glaucoma awareness and access to care.
SUBMITTER: Pang Y
PROVIDER: S-EPMC11323995 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature
Pang Yueyin Y Tang Melody M Shi Min M Tian Yu Y Luo Yan Y Elze Tobias T Pasquale Louis R LR Zebardast Nazlee N Boland Michael V MV Friedman David S DS Shen Lucy Q LQ Lokhande Anagha A Wang Mengyu M
Translational vision science & technology 20240801 8
<h4>Purpose</h4>To elucidate the impact of demographics, including gender, race, ethnicity, and preferred language, on regional visual field (VF) loss and progression in glaucoma.<h4>Methods</h4>Multivariable linear mixed regressions were performed to determine the impact of race, ethnicity, and preferred language on regional VF loss with adjustment for age and gender. Regional VF loss was defined by pointwise total deviation values and VF loss patterns quantified by an unsupervised machine lear ...[more]