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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

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...

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Autores principales: Tyagi, Mudit, Das, Anthony Vipin, Kaza, Hrishikesh, Basu, Soumyava, Pappuru, Rajeev R, Pathengay, Avinash, Murthy, Somasheila, Agrawal, Hitesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240530/
https://www.ncbi.nlm.nih.gov/pubmed/35326028
http://dx.doi.org/10.4103/ijo.IJO_1122_21
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author Tyagi, Mudit
Das, Anthony Vipin
Kaza, Hrishikesh
Basu, Soumyava
Pappuru, Rajeev R
Pathengay, Avinash
Murthy, Somasheila
Agrawal, Hitesh
author_facet Tyagi, Mudit
Das, Anthony Vipin
Kaza, Hrishikesh
Basu, Soumyava
Pappuru, Rajeev R
Pathengay, Avinash
Murthy, Somasheila
Agrawal, Hitesh
author_sort Tyagi, Mudit
collection PubMed
description 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%.
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spelling pubmed-92405302022-06-30 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 Tyagi, Mudit Das, Anthony Vipin Kaza, Hrishikesh Basu, Soumyava Pappuru, Rajeev R Pathengay, Avinash Murthy, Somasheila Agrawal, Hitesh Indian J Ophthalmol Special Focus, Uvea, Original Article 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%. Wolters Kluwer - Medknow 2022-04 2022-03-22 /pmc/articles/PMC9240530/ /pubmed/35326028 http://dx.doi.org/10.4103/ijo.IJO_1122_21 Text en Copyright: © 2022 Indian Journal of Ophthalmology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Special Focus, Uvea, Original Article
Tyagi, Mudit
Das, Anthony Vipin
Kaza, Hrishikesh
Basu, Soumyava
Pappuru, Rajeev R
Pathengay, Avinash
Murthy, Somasheila
Agrawal, Hitesh
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Special Focus, Uvea, Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240530/
https://www.ncbi.nlm.nih.gov/pubmed/35326028
http://dx.doi.org/10.4103/ijo.IJO_1122_21
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