Risk Factors for Severe Dry Eye Disease: Crowdsourced Research Using DryEyeRhythm

Inomata, Takenori; Nakamura, Masahiro; Iwagami, Masao; Shiang, Tina; Yoshimura, Yoshiyuki; Fujimoto, Keiichi; Okumura, Yuichi; Eguchi, Atsuko; Iwata, Nanami; Miura, Maria; Hori, Satoshi; Hiratsuka, Yoshimune; Uchino, Makoto; Ohta, Michio; Dana, Reza; Murakami, Akira

doi:10.1016/j.ophtha.2018.12.013

Cited by 46 publications

(84 citation statements)

References 5 publications

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“…DED consists of a variety of subjective symptoms. Therefore, it is important to objectively monitor the subjective symptoms for DED screening and treatment evaluation [4][5][6]. In this study, we compared two questionnaires for dry eye subjective symptoms, the J-OSDI and DEQS, which can be only used in Japan.…”

Section: Discussionmentioning

confidence: 99%

“…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]. DED causes various symptoms affecting ocular and visual function that interfere with the quality of vision and reduce work productivity [7,8].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…DED can cause ocular surface damage, eye discomfort and impaired vision and can also lead to substantial economic problems due to decreased quality of life and work productivity 3 4. Therefore, quantifying the symptoms and severity of DED is important for the diagnosis, monitoring and treatment of the condition 5 6…”

Section: Introductionmentioning

confidence: 99%

Reliability and validity of the Japanese version of the Ocular Surface Disease Index for dry eye disease

et al. 2019

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ObjectivesThe Ocular Surface Disease Index (OSDI) questionnaire is widely used to evaluate subjective symptoms of dry eye disease (DED) as a primary diagnostic criterion. This study aimed to develop a Japanese version of the OSDI (J-OSDI) and assess its reliability and validity.Design and settingHospital-based cross-sectional observational study.ParticipantsA total of 209 patients recruited from the Department of Ophthalmology at Juntendo University Hospital.MethodsWe translated and culturally adapted the OSDI into Japanese. The J-OSDI was then assessed for internal consistency, reliability and validity. We also evaluated the optimal cut-off value to suspect DED using an area under the receiver operating characteristic curve (AUC) analysis.Primary outcome measuresInternal consistency, test–retest reliability and discriminant validity of the J-OSDI as well as the optimal cut-off value to suspect DED.ResultsOf the participants, 152 had DED and 57 did not. The J-OSDI total score showed good internal consistency (Cronbach's alpha=0.884), test–retest reliability (interclass correlation coefficient=0.910) and discriminant validity by known-group comparisons (non-DED, 19.4±16.0; DED, 37.7±22.2; p<0.001). Factor validity was used to confirm three subscales within the J-OSDI according to the original version of the questionnaire. Concurrent validity was assessed by Pearson correlation analysis, and the J-OSDI total score showed a strong positive correlation with the Dry Eye-Related Quality-of-Life Score (γ=0.829). The optimal cut-off value of the J-OSDI total score was 36.3 (AUC=0.744).ConclusionsThe J-OSDI was developed and validated in terms of reliability and validity as an effective tool for DED assessment and monitoring in the Japanese population.

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“…The incidence of dry eye disease (DED) has been increasing with the aging society and increased digital devise usage, affecting tens of millions of people worldwide [10][11][12]. Many people were estimated to have undiagnosed DED with decreased quality of vision and work productivity [13]. DED was found to be comorbid with post cataract surgery and glaucoma treatment due to shared risk factors including aging and the long-term use of eye drops containing preservatives [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…DED was found to be comorbid with post cataract surgery and glaucoma treatment due to shared risk factors including aging and the long-term use of eye drops containing preservatives [14][15][16]. As contact-lens use is a risk factor of DED [13], patients with keratoconus who use hard contact lenses for suppression of the condition's development could develop DED [17]. Therefore, the accurate assessment of CCT in DED is becoming more important.…”

Section: Introductionmentioning

confidence: 99%

Comparison of corneal thickness in patients with dry eye disease using the Pentacam rotating Scheimpflug camera and anterior segment optical coherence tomography

et al. 2020

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The purpose of this study was to compare central corneal thickness, thinnest corneal thickness, and the thinnest point of the cornea between Pentacam and anterior segment optical coherence tomography (ASOCT) in patients with dry eye disease (DED). This cross-sectional study included 195 participants between November 2015-June 2017. DED was diagnosed using the Asia Dry Eye Society criteria and further divided into mild and severe DED based on kerato-conjunctival vital staining. Central corneal thickness, thinnest corneal thickness, and the thinnest point of the cornea measured by Pentacam and ASOCT were compared, and Pearson's correlation coefficients were estimated. The differences in central corneal thickness and the thinnest corneal thickness between Pentacam and ASOCT were analysed using Bland-Altman and multivariate regression analyses adjusted for age and sex. This study included 70 non-DED subjects and 52 patients with mild and 73 with severe DED. The Pentacam and ASOCT measurements of central corneal thickness and thinnest corneal thickness were strongly correlated, but the respective values were higher when measured with Pentacam. The Bland-Altman analysis revealed differences in central corneal thickness (non DED, 11.8; mild DED, 13.2; severe DED, 19.6) and in thinnest corneal thickness (non DED, 13.1; mild DED, 13.4; severe DED, 20.7). After adjusting for age and sex, the differences in central corneal thickness (β = 7.029 μm, 95%CI 2.528-11.530) and thinnest corneal thickness (β = 6.958 μm, 95%CI 0.037-13.879) were significantly increased in the severe-DED group. The distribution of the thinnest point of the cornea in the cornea's inferior temporal quadrant between Pentacam and ASOCT deviated in severe DED (Pentacam: 90.4% vs. ASOCT: 83.6%). Clinicians should consider that there were significant differences in corneal-morphology assessment between the measurements with Pentacam and ASOCT in severe DED.

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Risk Factors for Severe Dry Eye Disease: Crowdsourced Research Using DryEyeRhythm

Cited by 46 publications

References 5 publications

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

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

Reliability and validity of the Japanese version of the Ocular Surface Disease Index for dry eye disease

Comparison of corneal thickness in patients with dry eye disease using the Pentacam rotating Scheimpflug camera and anterior segment optical coherence tomography

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