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Characterization and prevalence of ocular comorbidities and risk of legal blindness across the United States.
Chu, Jeffrey; Shaia, Jacqueline K; Sharma, Neha; Russell, Matthew W; Rachitskaya, Aleksandra V; Talcott, Katherine E; Singh, Rishi P.
Afiliação
  • Chu J; Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Shaia JK; Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Sharma N; Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Russell MW; Case Western Reserve University School of Medicine, Cleveland, OH, USA.
  • Rachitskaya AV; Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Talcott KE; Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Singh RP; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
Eye (Lond) ; 2024 Jul 31.
Article em En | MEDLINE | ID: mdl-39085595
ABSTRACT
BACKGROUND/

OBJECTIVES:

Vision loss is a top disability in the United States (US). Patients commonly present with multiple ocular diseases, but the extent to which this places them at risk for vision loss, and if sex and race impacts this, is poorly understood. This exploratory analysis evaluated which ocular comorbidities and demographics are at highest risk for visual impairment. SUBJECTS/

METHODS:

A retrospective cross-sectional study was conducted through the TriNetX Analytics Network, an aggregated network encompassing over 90 million insured and uninsured patients across 50 healthcare organizations from all regions in the US. Patients with diabetic retinopathy (DR), age-related macular degeneration (AMD), retinal vein occlusion (RVO), glaucoma, and uveitis were included in this study. Ocular diseases and visual impairment were determined through ICD-10 codes. Prevalence and odds ratios were calculated while stratifying by sex and racial demographics. Statistical analyses were completed using RStudio and Excel with 95% confidence intervals calculated.

RESULTS:

The comorbid conditions with the highest prevalence of visual impairment were uveitis and RVO (39.94%), uveitis and neovascular AMD (37.61%), and uveitis and glaucoma (33.23%). The comorbidity with the highest odds for visual impairment was uveitis and RVO (POR 4.86; 95% CI 4.49, 5.26). Compared to white males, Black and Hispanic males were disproportionately affected by visual impairment across ocular comorbidities.

CONCLUSION:

This study quantified the prevalence and odds of visual impairment for unilateral and comorbid ocular disease, with the addition of uveitis causing the greatest increase. Black and Hispanic males were disproportionately affected by visual impairment across comorbid conditions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article