Comparing the Japanese Version of the Ocular Surface Disease Index and Dry Eye-Related Quality-of-Life Score for Dry Eye Symptom Assessment

Takenori Inomata,Keiichi Fujimoto,Yuichi Okumura,Atsuko Eguchi,Nanami Iwata,Hurramhon Shokirova,Masao Iwagami,Maria Miura,Masahiro Nakamura,Ken Nagino,Shuko Nojiri,Akira Murakami,Kenta Fujio,Akie Midorikawa-Inomata

doi:10.3390/diagnostics10040203

Takenori Inomata, Keiichi Fujimoto + Show 12 more

Open Access

https://doi.org/10.3390/diagnostics10040203

Copy DOI

Abstract

The aim of this study was to compare patient-reported symptoms of dry eye disease (DED) between the Japanese version of the Ocular Surface Disease Index (J-OSDI) and the Dry Eye-Related Quality-of-Life Score (DEQS). A total of 169 participants were enrolled between September 2017 and May 2018. Patients were administered the J-OSDI and DEQS questionnaires at their first (baseline) and follow-up visits to evaluate DED-related symptoms. The correlations between the J-OSDI total score and DEQS (Frequency and Degree) scores were evaluated using Pearson’s correlation coefficient, and their clinical differences were assessed using the Bland–Altman analysis. At the baseline visit, the J-OSDI score and DEQS (Frequency and Degree) were significantly correlated (r = 0.855, r = 0.897, respectively). Moreover, a significant correlation was found between the J-OSDI score and DEQS (Frequency and Degree) at the follow-up visit (r = 0.852, r = 0.888, respectively). The Bland–Altman analysis revealed a difference (bias) of 4.18 units at the baseline and 4.08 units at the follow-up between the scores of the two questionnaires. The J-OSDI and DEQS were significantly correlated with negligible score differences, suggesting that the J-OSDI can be reliably used for Japanese patients, allowing for cross-country comparisons.

Highlights

Dry eye disease (DED) is one of the most common eye disorders affecting 5–50% of the population, and it is becoming more prevalent due to the ageing population and the increase in digital work [1,2,3,4].It has become clear from previous large-scale crowdsourced research on real-world data collected using the iPhone application “DryEyeRhythm” that many people with dry eye symptoms remain undiagnosed [4,5,6]
The assessment of subjective symptoms is the fundamental examination for the diagnosis of dry eye disease (DED) [10,11] and has received greater attention than before, especially because the 2016 Asia Dry Eye Society diagnostic criteria are only based on subjective symptoms and the tear film breakup time (TFBUT) [11]
A total of 169 patients were evaluated at two different visits; they responded to the questionnaire, completed the examination, and were found eligible for analysis

Summary

Introduction

Dry eye disease (DED) is one of the most common eye disorders affecting 5–50% of the population, and it is becoming more prevalent due to the ageing population and the increase in digital work [1,2,3,4]. It has become clear from previous large-scale crowdsourced research on real-world data collected using the iPhone application “DryEyeRhythm” that many people with dry eye symptoms remain undiagnosed [4,5,6]. The assessment of subjective symptoms is the fundamental examination for the diagnosis of DED [10,11] and has received greater attention than before, especially because the 2016 Asia Dry Eye Society diagnostic criteria are only based on subjective symptoms and the tear film breakup time (TFBUT) [11].

Objectives

Methods

Results

Conclusion