MANAGEMENT ALGORITHM OF PRIMARY OPEN-ANGLE GLAUCOMA
ABSTRACT: In primary open-angle glaucoma, risk factors are associated with an increased risk of development or progression of the disease, showing variability depending on the specificities in different countries. High-risk patients are considered those with a combination of risk factors. Therefore the role of early diagnosis and regular follow-up is important.
The aim of the present study is to provide an algorithm of early diagnosis and management of patients with POAG.
Material and methods: The study enrolled 302 patients diagnosed with primary open-angle glaucoma treated in SBOBAL - Varna. For the evaluation were used sociological and clinical methods. SPSS v. 20.0 was used for variation, dispersion, correlation, and risk assessment analysis.
Results and Discussion: The results of our study showed that 43.70% of the patients experienced glaucoma progression. There were highest difficulties in the treatment of patients diagnosed at a very advanced stage, which as a consequence progression of glaucoma. This lead to the development of an algorithm of early diagnose with effective and accurate methods that will help specialists to choose the proper management plan for any glaucoma patient. Conclusion: Based on a detailed analysis of the patients data that is related to the diagnosis, treatment, quality of life and risk assessment of the disease prognosis, we present a suggestion for management algorithm of POAG in accordance to patients‘ needs and may be optimized according to their behavior in case of early detection of change the causes associated with the variation and maintenance of high IOP values.
Keywords: IOP, algorithm, pointer, early diagnosis, tracking