Literature DB >> 33985963

Longitudinal visual field variability and the ability to detect glaucoma progression in black and white individuals.

Brian Stagg1,2,3, Eduardo B Mariottoni1, Samuel Berchuck1,4, Alessandro Jammal1, Angela R Elam5, Rachel Hess3,6, Kensaku Kawamoto7, Benjamin Haaland3, Felipe A Medeiros8.   

Abstract

BACKGROUND/AIMS: To investigate racial differences in the variability of longitudinal visual field testing in a 'real-world' clinical population, evaluate how these differences are influenced by socioeconomic status, and estimate the impact of differences in variability on the time to detect visual field progression.
METHODS: This retrospective observational cohort study used data from 1103 eyes from 751 White individuals and 428 eyes from 317 black individuals. Linear regression was performed on the standard automated perimetry mean deviation values for each eye over time. The SD of the residuals from the trend lines was calculated and used as a measure of variability for each eye. The association of race with the SD of the residuals was evaluated using a multivariable generalised estimating equation model with an interaction between race and zip code income. Computer simulations were used to estimate the time to detect visual field progression in the two racial groups.
RESULTS: Black patients had larger visual field variability over time compared with white patients, even when adjusting for zip code level socioeconomic variables (SD of residuals for Black patients=1.53 dB (95% CI 1.43 to 1.64); for white patients=1.26 dB (95% CI 1.14 to 1.22); mean difference: 0.28 (95% CI 0.15 to 0.41); p<0.001). The difference in visual field variability between black and white patients was greater at lower levels of income and led to a delay in detection of glaucoma progression.
CONCLUSION: Black patients had larger visual field variability compared with white patients. This relationship was strongly influenced by socioeconomic status and may partially explain racial disparities in glaucoma outcomes. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  diagnostic tests/investigation; glaucoma

Mesh:

Year:  2021        PMID: 33985963      PMCID: PMC8589883          DOI: 10.1136/bjophthalmol-2020-318104

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   5.908


  30 in total

1.  Applying theories and interventions from behavioral medicine to understand and reduce visual field variability in patients with vision loss.

Authors:  Collin Rozanski; Jennifer A Haythornthwaite; Gislin Dagnelie; Ava K Bittner
Journal:  Med Hypotheses       Date:  2014-05-09       Impact factor: 1.538

2.  Perceived racial discrimination and risk of insomnia among middle-aged and elderly Black women.

Authors:  Traci N Bethea; Eric S Zhou; Eva S Schernhammer; Nelsy Castro-Webb; Yvette C Cozier; Lynn Rosenberg
Journal:  Sleep       Date:  2020-01-13       Impact factor: 5.849

3.  Evaluating area-based socioeconomic status indicators for monitoring disparities within health care systems: results from a primary care network.

Authors:  Seth A Berkowitz; Carine Y Traore; Daniel E Singer; Steven J Atlas
Journal:  Health Serv Res       Date:  2014-09-15       Impact factor: 3.402

4.  A longitudinal study of the age-adjusted variability of automated visual fields.

Authors:  J Katz; A Sommer
Journal:  Arch Ophthalmol       Date:  1987-08

5.  Association Between Neurocognitive Decline and Visual Field Variability in Glaucoma.

Authors:  Alberto Diniz-Filho; Lisa Delano-Wood; Fábio B Daga; Sebastião Cronemberger; Felipe A Medeiros
Journal:  JAMA Ophthalmol       Date:  2017-07-01       Impact factor: 7.389

6.  Large Disparities in Receipt of Glaucoma Care between Enrollees in Medicaid and Those with Commercial Health Insurance.

Authors:  Angela R Elam; Chris Andrews; David C Musch; Paul P Lee; Joshua D Stein
Journal:  Ophthalmology       Date:  2017-06-02       Impact factor: 12.079

7.  Racial disparities in the use of ancillary testing to evaluate individuals with open-angle glaucoma.

Authors:  Joshua D Stein; Nidhi Talwar; Alejandra M Laverne; Bin Nan; Paul R Lichter
Journal:  Arch Ophthalmol       Date:  2012-12

8.  The Ocular Hypertension Treatment Study: topical medication delays or prevents primary open-angle glaucoma in African American individuals.

Authors:  Eve J Higginbotham; Mae O Gordon; Julia A Beiser; Michael V Drake; G Richard Bennett; M Roy Wilson; Michael A Kass
Journal:  Arch Ophthalmol       Date:  2004-06

9.  New insights into measurement variability in glaucomatous visual fields from computer modelling.

Authors:  Richard A Russell; David F Garway-Heath; David P Crabb
Journal:  PLoS One       Date:  2013-12-30       Impact factor: 3.240

10.  Barriers to and Suggestions on Improving Utilization of Eye Care in High-Risk Individuals: Focus Group Results.

Authors:  Angela R Elam; Paul P Lee
Journal:  Int Sch Res Notices       Date:  2014-10-15
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  1 in total

1.  Rates of Glaucoma Progression Derived from Linear Mixed Models Using Varied Random Effect Distributions.

Authors:  Swarup S Swaminathan; Samuel I Berchuck; Alessandro A Jammal; J Sunil Rao; Felipe A Medeiros
Journal:  Transl Vis Sci Technol       Date:  2022-02-01       Impact factor: 3.283

  1 in total

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