Optimum criteria for short-wavelength automated perimetry

Objective: To determine the optimum perimetric criteria for short-wavelengt h automated perimetry on the basis of probabilistic maps that best discrimi nate between normal and glaucoma. Design: Comparative cross-sectional study. Participants: Ninety-five glaucomatous eyes and 128 normal eyes were includ ed in the study. Interventions: The subjects underwent retinal nerve fiber layer photographi c evaluation and short-wavelength automated perimetry. Main Outcome Measures: A probabilistic map of differential points for short -wavelength automated perimetry was elaborated, and the number of altered p oints was calculated for each visual field and level of significance (95%, 98%, 99%, and 99.5%). Results: The presence of a cluster of four or more points outside 95% norma l probability limit showed a good combination of sensitivity and specificit y. At deeper levels, P < 1% and P < 0.5%, the best combination is achieved with three points outside the normal probability limits. Conclusions: The optimum criterion to define glaucomatous abnormalities in short-wavelength automated perimetry is the presence of a cluster of four p oints lower than P < 5% or a cluster of three points lower than P < 1%, Oph thalmology 2001;108:285-289 (C) 2001 by the American Academy of Ophthalmolo gy.