Make in India: Normative data for automated perimetry
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Neeraj Israni1, Rwituja Thomas1, Shruti Kochar1
1Innovision Eye Care and Laser Center, Mumbai, Maharashtra; Oculoplastics Service, Vision Eye Centre, New Delhi, Delhi; Department of Ophthalmology, CHL Hospitals, Indore, Madhya Pradesh, India.
Background:
The normative data set in authomated perimetry is predominantly of non-Indian origin and hence may not be an accurate basis for visual field analysis in Indian population.This video describes an attempt to create a native normative dataset for automated perimetry, which can then be fed in our machines and be used as the normative database.
Purpose:
To formulate normative data and to increase domain knowledge of normative values for automated perimetry in Indian population of different age groups.
Synopsis:
Cross-sectional study conducted on patients receiving outpatient care in a span of 3 years, which included 6586 healthy normal patients (13172 eyes) with vision 6/6 unaided or after refractive correction. The patients were tested with 30-2 SITA FAST threshold algorithm on Humphrey Field Analyzer Model no: 745i. Normative data was calculated on basis of age group ranging from 19-75 years categorized to every decade. Normal values were formulated on basis of perimetry performed on normal patients.
Highlights:
Our work on creating a native normative dataset may add value as well as increase the accuracy of perimetry analysis in Indian eyes.
Online Video Link:
https://youtu.be/jqgC2Tn7HIg.
