scholarly journals Glaucoma Progression Analysis Software Compared with Expert Consensus Opinion in the Detection of Visual Field Progression in Glaucoma

Ophthalmology ◽  
2012 ◽  
Vol 119 (3) ◽  
pp. 468-473 ◽  
Author(s):  
Angelo P. Tanna ◽  
Donald L. Budenz ◽  
Jagadeesh Bandi ◽  
William J. Feuer ◽  
Robert M. Feldman ◽  
...  
2008 ◽  
Vol 93 (3) ◽  
pp. 322-328 ◽  
Author(s):  
V T Diaz-Aleman ◽  
A Anton ◽  
M G. de la Rosa ◽  
Z K Johnson ◽  
S McLeod ◽  
...  

2008 ◽  
Vol 247 (3) ◽  
pp. 391-397 ◽  
Author(s):  
Francisco Arnalich-Montiel ◽  
Pilar Casas-Llera ◽  
Francisco J. Muñoz-Negrete ◽  
Gema Rebolleda

2009 ◽  
Vol 93 (12) ◽  
pp. 1576-1579 ◽  
Author(s):  
P Casas-Llera ◽  
G Rebolleda ◽  
F J Munoz-Negrete ◽  
F Arnalich-Montiel ◽  
M Perez-Lopez ◽  
...  

2021 ◽  
pp. bjophthalmol-2020-318104
Author(s):  
Brian Stagg ◽  
Eduardo B Mariottoni ◽  
Samuel Berchuck ◽  
Alessandro Jammal ◽  
Angela R Elam ◽  
...  

Background/AimsTo 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.MethodsThis 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.ResultsBlack 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.ConclusionBlack 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.


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