Utilizing visual symptoms to distinguish dry eye from glaucoma, cataract, and suspect glaucoma patients: a cross-sectional study.

ABSTRACT:

Background

The diagnosis of dry eye and other common ophthalmological conditions can be supported using patient reported symptoms, which is increasingly useful in contexts such as telemedicine. We aim to ascertain visual symptoms that differentiate dry eye from cataract, glaucoma, or glaucoma suspects.

Methods

Adults with dry eye, glaucoma, cataract, and suspected glaucoma (controls) completed a questionnaire to rate the frequency and severity of 28 visual symptoms. Univariate, followed by multivariable logistic regression with backward stepwise selection (p < 0.05), determined the individual symptoms and set of symptoms best distinguishing dry eye from each of the other conditions.

Results

Mean age of 353 patients (94 glaucoma suspect controls, 79 glaucoma, 84 catara

SUBMITTER: Zhao DX 

PROVIDER: S-EPMC10775660 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature