Background. Phacoemulsification is one of the most common and effective methods of cataract surgery, which allows patients to restore their vision and improve quality of life. Given the significant variability in outcomes, there is a growing need to develop prognostic models that help predict the quality of vision after surgery. Such models consider clinical, demographic, and biometric data of patients, which allows doctors to personalize approach to treatment and optimize outcomes. However, even with such effective technologies, the result may not always meet the expectations of patients, as it depends on many factors. The purpose of the study was to create a prognostic model to determine the treatment algorithm for a patient with age-related cataract. Materials and methods. A study was conducted of 160 patients (160 eyes), 80 women and 80 men aged 45–75 years who were diagnosed with age-related cataract. They were divided into two groups: experimental one (80 patients) — initial visual acuity 0.8–1.0; control group (80 patients) — initial visual acuity < 0.8. The assessment was performed in two stages: 1 day before surgery and 1 month after surgery. MedStat and EZR programs were used for statistical processing. Results. To calculate the ROC curve of the multivariate model for visual quality improvement in patients after phacoemulsification, the following factors were taken into account: visual acuity, spherical aberrations, contrast sensitivity using the Pelly-Robson chart and the Clinic CSF Contrast Sensitivity test. According to the calculations, the AUC was found to be 0.89 (95% CI 0.79–0.99), which is statistically significantly (p < 0.05) different from 0.5 and is evidence of the model adequacy. Calculation of the model by the formula showed a better result in the experimental group (87.8 %) than in controls (76.2 %). Thus, with surgical intervention, the prognosis for improving the quality of vision is more favorable in the experimental group. Therefore, it is necessary to carry out surgeries at early stages, when the patient’s visual acuity is 0.8–1.0, in order to achieve the maximum quality of vision, unlike the control group. Conclusions. The proposed prognostic model for predicting the improvement of visual quality after phacoemulsification showed high accuracy and practical value. It was found that phacoemulsification with intraocular lens implantation in patients from the experimental group is more effective in achieving higher quality of vision than in controls. Thus, to achieve the best visual quality, surgical intervention should be performed at early stages.
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