Time to Blindness of Glaucoma Patients: The case of Hawassa University Referral Hospital, Hawassa, Ethiopia-Reference-Cited by-同舟云学术

Time to Blindness of Glaucoma Patients: The case of Hawassa University Referral Hospital, Hawassa, Ethiopia

Published:2023-10-06 Issue: Volume: Page:
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Author:

Bayew Addisu Teka¹,Warssamo Birhanu Betela¹

Affiliation:

1. Hawassa University

Abstract

Abstract Background If untreated, glaucoma is one of the major causes of irreversible blindness in the world. Intraocular pressure is a primary risk factor for glaucoma, a chronic, progressive optic neuropathy that is characterized by characteristic alterations in the optic disc and retinal nerve fiber layer along with corresponding visual field abnormalities. The study's goals were to identify the best-fit survival regression model and gauge glaucoma patients' chances of surviving until they were blind at Hawassa Referral Hospital in Hawassa, Ethiopia. Methods The patient's card contained secondary data that was gathered in the hospital between January 2021 and September 2023. This study took into account the records of 388 glaucoma patients. To determine the factors that cause glaucoma patients to become blind, the Kaplan-Meier survival analysis, Semiparametric and Parametric AFT models were used. Excel was used to enter the data, which was then exported to STATA version 16 for analysis. The statistical analysis on the length of time before glaucoma patients become blind was done using a parametric survival model. When p-value 0.05, statistical significance was taken into account. Results Male and female glaucoma patients made up 42.01% and 57.99% of the overall sample, respectively. After the diagnosis of glaucoma disease, the median time to go blind in either one or both eyes was 21 months. Age groups (43–69) and > 70 (TR = 1.2323, CI: 1.048611–1.447674), urban residence (TR = 1.147198, CI: 1.009588–1.303565), types of medication topical (TR = 1.275537, CI:1.07358–1.515484), and laser therapy (TR = 1.25966, CI: 1.016694–1.560689) were found to be significantly associated with the time to blindness. Conclusion Age, place of residence, and kind of medicine were found to be important variables that determine the likelihood that glaucoma patients will survive. The gamma regression model was the best fitted parametric accelerated failure-time model for identifying the key factors connected to glaucoma patients, according to the study's findings, which brings us to our final conclusion.

Publisher

Research Square Platform LLC

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