Publications by authors named "Andrii Rostyslavovich Korol"

Article Synopsis
  • The study explores the effectiveness of neural networks in predicting treatment outcomes for diabetic neovascular glaucoma (NVG), focusing on intraocular pressure, inflammation, and blood circulation indicators.
  • The research involves a cohort of 127 NVG patients and a control group, using specific preoperative indices to analyze the impact on treatment success after transscleral cyclophotocoagulation (TSC CPC).
  • The neural network model developed highlighted the significance of the systemic inflammation response index (SIRI), rheographic coefficient (RQ), and systemic immune-inflammation index (SII) in predicting treatment efficacy, demonstrating high sensitivity but lower specificity.
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The study hypothesizes that some patients with diabetic neovascular glaucoma (NVG) do not fully respond to transscleral (TSC) cyclophotocoagulation (CPC) due to significant inflammation and insufficient glucose control. The study aimed to determine the effect of baseline blood levels of intercellular adhesion molecule-1 (ICAM-1) and glycated haemoglobin (HbA1c) on the management of patients with diabetic NVG by TSC CPC. This open prospective study included 70 diabetic patients (75 eyes; aged Ме 63.

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