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A. Anton-Lopez, J. Moreno-Montañes, E. Ayala, M. Pazos, L. Mendiluce, F. Ussa, N. Olmo, A. Morilla; Performance of Glaucoma Probability Score in Normal Subjects, Ocular Hypertensive and Glaucoma Patients: Comparison With Moorfields Regression Analysis and Visual Fields. Invest. Ophthalmol. Vis. Sci. 2007;48(13):3319.
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Cross-sectional study. One hundred and sixty eyes of 98 patients with the diagnosis of normality, ocular hypertension or glaucoma were prospectively included in this study performed in two centers. All received a complete ophthalmic examination including optic disk photographs, HRT III images and visual fields with program 24-2 SITA standard of Humphrey Perimetry. Only good quality images according to the automatic quality control of HRT were included in the study. Visual fields had to be reliable (reliability indices < 30%) and congruent with at least one previous field. The classification of the GPS was compared with the classification of MRA and glaucoma hemifield test. The relation between the quantitative result of GPS and visual field indices was analyzed with Pearson/Spearman Test.
Mean ± SD (range) of mean defect and GPS were -3.2 ± 4.8 dB (-30.2 to 1.2 dB) and 27.2 ± 33.3 % (0 to 93%), respectively. GPS classified 72 (45.5%) of eyes outside normal limits and 34 (21.5%) eyes as borderline. MRA classified 29 (18.3%) outside normal limits and 21 (13.2) eyes as borderline. Finally, glaucoma hemifield test classified 60 (37.9%) eyes outside normal limits and 13 (8.2%) eyes as borderline. Twenty four eyes (15.1%) had both GPS and MRA outside normal limits. GPS and MRA assigned the same classification category to 75 (46.8%) eyes. Thirty seven eyes (23.4%) resulted outside normal limits in both GPS and glaucoma hemifield test. GPS Score was significantly related to mean defect (R: 0.32 , p: 0.002) and pattern standard deviation (R: 0.26 , p: 0.014).
Classification results with the recently developed GSP algorithm agreed with MRA in less than half of the eyes. GPS Score significantly correlates with visual field indices.
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