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Updated: Sep 9, 2025

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19

Published on: May 25, 2022

Diagnostic methods for managing dry eyes.

Mutali Musa¹, Ayuba Suleman², Clinton Okechukwu¹

¹Department of Optometry, University of Benin, Benin 300283, Nigeria.

World Journal of Methodology

|September 3, 2025

Summary

This summary is machine-generated.

Accurate diagnosis of dry eye disease (DED) is crucial for effective management. This review highlights key objective tests and advanced imaging techniques that improve DED diagnosis and treatment planning.

Keywords:

Diagnostic methods Dry eye syndrome Meibomian glands Ocular surface Tear film stability

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Area of Science:

Ophthalmology
Medical Diagnostics

Background:

Dry eye disease (DED) is a common condition causing ocular discomfort and vision issues.
Effective management of DED hinges on precise diagnostic methods.
Current diagnostic strategies involve both patient-reported symptoms and objective clinical assessments.

Purpose of the Study:

To systematically review current diagnostic methods for dry eye disease.
To evaluate traditional and novel diagnostic techniques for DED management.
To identify key diagnostic approaches reported in recent scientific literature.

Main Methods:

A comprehensive literature search was conducted on scientific databases.
Studies published within the last four years were prioritized.
A systematic methodology ensured an exhaustive assessment of 107 relevant English-language articles.

Main Results:

Objective tests include tear break-up time, ocular surface staining (fluorescein, lissamine green), tear osmolarity, and Schirmer's test for tear volume.
Advanced imaging like optical coherence tomography and meibography provide anatomical details of the ocular surface and meibomian glands.
Emerging biomarkers (e.g., matrix metalloproteinase-9) enhance diagnostic precision for inflammatory DED components.

Conclusions:

Combining subjective and objective diagnostic tools enables comprehensive DED assessment.
Tailored treatment plans and efficacy monitoring are facilitated by integrated diagnostic approaches.
Ongoing technological advancements promise improved understanding and management of DED.