Abstract
Objective
To describe the clinical profile of pterygium in patients presenting to a multi-tier ophthalmology hospital network in India.
Methods
This cross-sectional hospital-based study included 1,610,843 new patients presenting between 2010 and 2019. Patients with a clinical diagnosis of pterygium in at least one eye were included as cases. The data were collected using an electronic medical record system. Multiple logistic regression analysis with odds ratios (OR) was performed to identify the associated risk factors.
Results
Overall, 168,807 (10.5%) new patients were diagnosed with pterygium, of which 43,692 (26%) patients complained about the lesion. The prevalence rates were 0.7% in children and 12.6% in adults. Majority of patients were female (54.5%) and had unilateral (57%) affliction. Among the 241,631 affected eyes, the pterygia were primary in 99.6%, nasally located in 94%, and were grade I–II in 84.8%. Four in 5 eyes did not have any cylindrical refractive error, and 44% had coexistent cataract. Pterygium surgery was indicated in 10.3% eyes. Female sex (OR 1.37), increasing age (OR 19.5), rural residence (OR 1.21), agriculture work (OR 2.19), manual labor (OR 2.05), low socioeconomic status (OR 2.14) and geographical location closer to the equator (OR 3.4) were identified as the risk factors for developing pterygium.
Conclusion
About one-tenth of individuals seeking eye care in India have pterygium in at least one eye. It rarely impacts vision, is commonly unilateral and nasal and usually does not require surgery. It is associated with increasing age, females, outdoor work, low income and geographical location closer to the equator.
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Acknowledgements
The authors wish to acknowledge the support of our Department of eyeSmart EMR & AEye team specially Mr. Ranganath Vadapalli and Mr. Mohammad Pasha.
Funding
This study was funded by Hyderabad Eye Research Foundation, Hyderabad, India.
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Das, A.V., Podila, S., Prashanthi, G.S. et al. Clinical profile of pterygium in patients seeking eye care in India: electronic medical records-driven big data analytics report III. Int Ophthalmol 40, 1553–1563 (2020). https://doi.org/10.1007/s10792-020-01326-3
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DOI: https://doi.org/10.1007/s10792-020-01326-3