The use of the discriminant method in predicting the progression of primary glaucoma

The purpose of the research is predicting the progression of primary glaucoma by discriminant method.

Methods. The study involved 141 patients with stage I primary glaucoma and 145 patients with stage II primary glaucoma. On the second day, in the morning, 2 ml of blood was taken, the analysis of which, counting the number of blood cells studied, was performed by the automated Sysmex XN-A1 system (Japan) and the calculation of the analyzed indices. Statistical processing of the obtained data was carried out on a computer and included the use of a discriminant method to create mathematical models that provide 95% error-free differentiation (classification) of patients with stage I and II primary glaucoma.

Results. A comparative assessment of the indices of weak immune inflammation among patients with the progression of the first glaucoma relative to patients without the progression of primary glaucoma revealed significant differences in all the indices under consideration. In accordance with the highest informative value of the SIRI and AISI indexes, the following model was developed by discriminant analysis: Y1 = –12,561 + 0,69X₁ + 0,08X₂, and for patients without progression of primary glaucoma, the model Y₂ = –4,768 + 0,085X₁ + 0,024X₂. It was found that discriminant models mistakenly assigned 13,25% of patients with primary glaucoma progression to the group of patients without primary glaucoma progression. However, discriminant models were classified into the group of patients without primary glaucoma progression, 12,81% with primary glaucoma progression.

Conclusion. The use of the discriminant method and the SIRI and AISI indexes allowed us to develop a discriminant model that makes it possible to differentiate patients with primary glaucoma progression from patients without primary glaucoma progression with the required quality.

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