METRIS IN DRY EYE DISEASE: DIAGNOSIS & MONITORING

Published 2024 - 28th ESCRS Winter Meeting

Reference: P134 | Type: Submission | DOI: 10.82333/bhwa-b537

Authors: Wassim Altroudi* ¹

¹Ophthalmology,Ebsaar Eye Surgery Center,Dubai,United Arab Emirates

Purpose

Dry eye disease (DED) is a multifactorial disease associated with several comorbidities. It is well known that signs and symptoms of (DED) are poorly correlated.

In this review, metrics in DED are described to guide newly join doctors in the effective diagnosis of DED and monitoring outcomes of treatment.

Setting

Literature review.

Methods

A comprehensive search was performed on Medline (PubMed) and Google Scholar for published studies related with metrics for DED diagnosis and management.

Results

There is no single gold-standard diagnostic test for DED. Thus, the use of several metrics is advised to confirm the DED diagnosis, validate treatment plans and track progression, stability, and patient’s outcomes. Additionally, metrics help asymptomatic patients to understand that there is a disease process occurring.

Three levels of DED practice are suggested: tier 1 practice (basic care without new investment), tier 2 practice(diagnostic devices & staff engagement) and tier 3 practice (dry eye center). Levels of practice evolve from the application of dry eye surveys and simple testing to point of care testing and more advanced diagnostics tests and treatment options up to tier 3.

Conclusion

No matter which type of DED practice you are adopting metrics should be implemented systematically (up to the level of the practice). As DED has multifactorial and complex nature, no single gold standard diagnostic test is available, and a combination of tests is required. As dry eye knowledge and evidence-based treatments continue to evolve, practitioners are advised to frequently update diagnosis and treatment protocols to provide the best available care for patients with DED.