April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Baseline Risk Factors for Glaucoma Predict the Fast Component of the Visual Field Rate of Progression
Author Affiliations & Notes
  • Anne L. Coleman
    Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles, California
  • Dennis Mock
    Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles, California
  • Elena Bitrian
    Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles, California
  • Adelmonem Afifi
    Biostatistics, UCLA School of Public Health, Los Angeles, California
  • Fei Yu
    Biostatistics, UCLA School of Public Health, Los Angeles, California
  • Kour Nouri-Mahdavi
    Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles, California
  • Joseph Caprioli
    Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles, California
  • Footnotes
    Commercial Relationships  Anne L. Coleman, Alcon (F), Allergan (F), Pfizer (F), Research to Prevent Blindness (F); Dennis Mock, Oppenheimer Research Grant (F); Elena Bitrian, Oppenheimer Research Grant (F); Adelmonem Afifi, None; Fei Yu, None; Kour Nouri-Mahdavi, None; Joseph Caprioli, Alcon (F), Allergan (F), Pfizer (F), Research to Prevent Blindness (F)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 4149. doi:
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    • Get Citation

      Anne L. Coleman, Dennis Mock, Elena Bitrian, Adelmonem Afifi, Fei Yu, Kour Nouri-Mahdavi, Joseph Caprioli; Baseline Risk Factors for Glaucoma Predict the Fast Component of the Visual Field Rate of Progression. Invest. Ophthalmol. Vis. Sci. 2011;52(14):4149.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose:
 

To investigative the baseline risk factors associated with visualfield (VF) progression in glaucoma with a classification forthe visual field rate fast progressors.

 
Methods:
 

Clinical visual field (VF) predictive factors, previously foundto be associated with increasing the odds of visual field progression,were collected from a cohort of 389 eyes of patients with primaryopen angle glaucoma (Figure 1). A recently described method(ARVO 2010) calculates the VF exponential rate of progressionor decay for each point location and partitions the rates intoits fast and slow components for each eye. Those patients witha fast rate of decay of 20% / year were designated as fast progressors.Using a logistic regression model with these covariates, wepredict those patients who are designated as fast progressorsand determine the predictive risk associated with this VF worsening.

 
Results:
 

The logistic and stepwise logistic regression analysis for themodel predicting eyes as fast progressors (n=118, mean age =67.2 +/- 8.1 years) is shown in Figure 2. The most significantpredictors at baseline for determining the fast progressorswere: Age: Odds ratio: 1.05; 95% CI: 1.02-1.08 (p<.001) AGISscore: Odds ratio: 1.09; 95% CI: 1.04-1.15 (p<.01) Verticaldisk cup ratio: Odds ratio: 7.4; 95% CI: 1.44 - 38.1 (p<.05)

 
Conclusions:
 

Increased vertical cup/disc ratio had the highest associationfor classifying the VF fast progressors as defined by VF worseningby 20%/year. Both increasing age and AGIS score were marginallyassociated with this classification.  

 

 
Keywords: visual fields 
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