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Pattern of Uveitis in a Tertiary Care Eye Hospital Setting in Pakistan: A Comprehensive Analysis
Uzma Naz1, Saliha Naz2, Fawad Rizvi2
1Uveitis Department, LRBT Tertiary Teaching Eye Hospital, Korangi, Karachi, Pakistan.
Ocular Immunology and Inflammation
|December 12, 2024
Summary
This study analyzed uveitis patterns in Karachi, Pakistan, finding non-infectious causes like idiopathic uveitis most common. Results highlight associations between uveitis type and patient characteristics.
Area of Science:
- Ophthalmology
- Immunology
- Public Health
Background:
- Uveitis, a significant cause of vision loss, presents diverse patterns globally.
- Understanding regional variations in uveitis aetiology and demographics is crucial for targeted healthcare strategies.
Purpose of the Study:
- To investigate the epidemiological patterns and etiological characteristics of uveitis patients at a tertiary eye care center in Karachi, Pakistan.
- To identify the most prevalent types and causes of uveitis in the studied population.
Main Methods:
- A prospective cross-sectional study was conducted at the Uveitis Department of LRBT Tertiary Teaching Eye Hospital, Karachi.
- Data from 5791 patients (August 2020-July 2023) included demographics, clinical examination, and investigations.
- Exclusion criteria involved post-open-globe-trauma endophthalmitis; analysis focused on uveitis patterns and associations.
Main Results:
- The study included 5791 patients, predominantly female (55.4%), with a mean age of 38.22 years.
- Anterior uveitis (35.1%) and pan-uveitis (28.9%) were most common; non-infectious uveitis (72.14%) predominated, with idiopathic uveitis as the leading cause (33.2%).
- Significant associations were observed between uveitis location and factors like age, gender, bilateral involvement, and infectious status.
Conclusions:
- Idiopathic uveitis is the predominant aetiology in the studied Pakistani population.
- Findings underscore the importance of recognizing regional variations in uveitis presentation and causes.
- Limitations include potential biases due to diagnostic modality availability and financial constraints.

