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. 2022 Apr;70(4):1260-1267.
doi: 10.4103/ijo.IJO_1122_21.

LV Prasad Eye Institute EyeSmart electronic medical record-based analytics of big data: LEAD-Uveitis Report 1: Demographics and clinical features of uveitis in a multi-tier hospital based network in Southern India

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LV Prasad Eye Institute EyeSmart electronic medical record-based analytics of big data: LEAD-Uveitis Report 1: Demographics and clinical features of uveitis in a multi-tier hospital based network in Southern India

Mudit Tyagi et al. Indian J Ophthalmol. 2022 Apr.

Abstract

Purpose: To describe the demographics and epidemiology of uveitis presenting to a multi-tier ophthalmology hospital network in Southern India.

Methods: Cross-sectional hospital-based study of 19,352 patients with uveitis presenting between March 2012 and August 2018.

Results: In total, 1,734,272 new patients were seen across the secondary and tertiary centers of our multi-tier ophthalmology hospital network during the study period. Among them, 25,353 eyes of 19,352 patients were diagnosed with uveitis and were included in the study. Uveitis constituted 1.11% of all cases. The majority of patients were male (60.33%) and had unilateral (68.09%) affliction. The most common age group was 21-50 years with 12,204 (63.06%) patients. The most common type of uveitis was anterior uveitis, which was seen in 7380 (38.14%) patients, followed by posterior uveitis in 5397 (23.89%) patients. Among the infectious causes, tuberculosis was the most common etiology (2551 patients, 13%) followed by toxoplasmosis (1147 patients, 6%).

Conclusion: Uveitis constituted 1.11% of all cases presenting to our clinics. It was more common in the age group of 21-50 and was predominantly unilateral. Anterior uveitis was the most common subtype seen in 38%.

Keywords: Big data; electronic medical records; epidemiology; tuberculosis; uveitis.

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