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Factors Affecting Compliance and Visual Outcomes in Patients Receiving Intravitreal Bevacizumab Injections

Background Vascular endothelial growth factor (VEGF) is a powerful mitogen for endothelial cells that promotes migration, proliferation, and tube formation necessary for the angiogenic development of new blood vessels. When VEGF increases significantly, it causes pathological angiogenesis and increa...

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Published in:Curēus (Palo Alto, CA) CA), 2024-08, Vol.16 (8), p.e66760
Main Authors: Radhakrishnan, Ozukhil, Agrawal, Tushar, Giri, Nilesh, Gandhi, Shreya, Goyal, Khushboo
Format: Article
Language:English
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Summary:Background Vascular endothelial growth factor (VEGF) is a powerful mitogen for endothelial cells that promotes migration, proliferation, and tube formation necessary for the angiogenic development of new blood vessels. When VEGF increases significantly, it causes pathological angiogenesis and increased vascular permeability in eye conditions such as diabetic retinopathy (DR), age-related macular degeneration (AMD), and retinal vein occlusion (RVO). These disorders have become important global sources of morbidity and have a substantial financial impact not only on the medical community but also on the patients. Therefore, this study aims to determine the success rates of intravitreal bevacizumab therapy and the visual outcomes which may be increased by determining the factors affecting patient compliance and raising awareness about DR, neovascular AMD, and RVO among patients and studying the factors responsible for non-compliance to treatment. Methodology This experimental pre-post study was conducted in the ophthalmology department at a tertiary care hospital and research center in western Maharashtra from September 2022 to June 2024. A total of 150 eyes of 150 patients who were diagnosed cases of DR, neovascular AMD, and non-ischemic RVO were included in the study. Written informed consent was obtained from each patient. Data were entered in Microsoft Excel (Microsoft Corp., Redmond, WA, USA) and statistical analysis was done using SPSS 27.0 software (IBM Corp., Armonk, NY, USA). The chi-square test was employed to check the association between categorical variables. Pearson's correlation test was used, and p-values
ISSN:2168-8184
2168-8184
DOI:10.7759/cureus.66760