Résumé
To develop glaucoma diagnostic model for early detection of glaucoma and estimate its efficacy in Korea, we investigated the results of 98 ocular examinations of our patients at the department of ophthalmology, Kangnam St. Mary's hospital, the Catholic university of Korea, school of medicine from 1998 to 1999.Factors for glaucoma diagnostic model function were age of patients, sex, family history of glaucoma, history of hypertension, cardiovascular diseases and diabetes mellitus, refractive error, intraocular pressure, vertical cupdisc ratio and its asymmetry using ophthalmoscope, Heidelberg retina tomograph(HRT)and high frequency pattern VEP, ERG and visual field analysis. We calculated the diagnostic model function and its reliability compared to the results of visual field analysis using statistical package for social science(SPSS, version 7.5)program. The calculated glaucoma diagnostic model function was discriminant score=-8.0 8+0.25(age)+2.52(vertical C/D ratio)+0.11(C/D ratio asymmetry)-0.7(HRT classification)+0.003(intraocular pressure)+1.59(DM)-0.07(P100)+0.12(retino-cortical time)+0.04(sex). The sensitivity, specificity and diagnostic precision of the model function were 77.4%, 83.7%, 81.1%, respectively. With this comprehensive model using all known glaucoma factors, we could get better results about 15 to 20%than those of each individualmodel using the factors one by one. In conclusion, we think that the comprehensive glaucoma diagnostic model using all known risk factors may help us in early detection of glaucoma.