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
- PMID: 35326028
- PMCID: PMC9240530
- 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
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.
Conflict of interest statement
None
Comment in
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Commentary: EyeSmart electronic medical record-based uveitis pattern - A big data analysis.Indian J Ophthalmol. 2022 Apr;70(4):1267-1268. doi: 10.4103/ijo.IJO_3108_21. Indian J Ophthalmol. 2022. PMID: 35326029 Free PMC article. No abstract available.
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Commentary: EyeSmart EMR 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.Indian J Ophthalmol. 2022 Apr;70(4):1268-1269. doi: 10.4103/ijo.IJO_591_22. Indian J Ophthalmol. 2022. PMID: 35326030 Free PMC article. No abstract available.
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