Personalized Management of Physiologic/Ophthalmologic Particularities for Predictive Approach and Targeted Prevention of Primary Angle Closure Glaucoma Applied to Persons at Risk

Primary angle closure glaucoma (PACG) is still one of the leading causes of the irreversible blindness. The risk of bilateral blindness due to PACG is three times higher than in primary open angle glaucoma. Among many urgent problems associated with primary angle closure disease (PACD), the most important one is to determine the treatment algorithm for primary angle closure suspect (PACs) and primary angle closure (PAC) to avoid the disease progression. The present review, that is devoted to the problem of PACD, demonstrates how early detection of this condition, determination of its prognosis, and the formation of a personalized treatment algorithm allow preventing the development of one of the most severe forms of ophthalmopathology. Modern visualization technologies of the structures of the anterior and posterior segments, as well as the analysis of the data obtained by means of machine learning methods, make it possible to achieve the most personalized approach of the treatment of primary angle closure that corresponds to the principles of 3P medicine.