Observational studyScientific reports2020
Diagnostic ability of maximum blink interval together with Japanese version of Ocular Surface Disease Index score for dry eye disease.
Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Integration of Digital Phenotyping and Genomics for Dry Eye Disease: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Influence of Lifestyle Factors on Ocular Surface Parameters in Relation to Age.Life (Basel, Switzerland) · 2024Article
- Optimal cutoff value of the dry eye-related quality-of-life score for diagnosing dry eye disease.Scientific reports · 2024Article
- The Influence of Tear Film Quality on Visual Function.Vision (Basel, Switzerland) · 2024Article
- Ocular Surface Disease Index questionnaire in different languages.Medical hypothesis, discovery & innovation ophthalmology journal · 2024Review
- A Medical Paradigm Shift in Society 5.0: Implementation of a Smartphone App-based Dry Eye Diagnosis Assistance Software as a Medical Device.Juntendo Iji zasshi = Juntendo medical journal · 2024Article
- Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study.Eye (London, England) · 2023Article
- Design and Usability Study of a Point of Care mHealth App for Early Dry Eye Screening and Detection.Journal of clinical medicine · 2023Article
- Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis.Scientific reports · 2023Observational
- Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study.JMIR research protocols · 2023Article
- P4 Medicine for Heterogeneity of Dry Eye: A Mobile Health-based Digital Cohort Study.Juntendo Iji zasshi = Juntendo medical journal · 2023Review
- Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study.JMIR mHealth and uHealth · 2022Article
- Article
- Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data.Journal of healthcare engineering · 2022Article
- Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study.NPJ digital medicine · 2021Article
- Tear Film Break-Up Time and Dry Eye Disease Severity in a Large Norwegian Cohort.Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Various symptoms of the dry eye disease (DED) interfere with the quality of life and reduce work productivity. Therefore, screening, prevention, and treatment of DED are important. We aimed to investigate the potential diagnostic ability of the maximum blink interval (MBI) (the length of time participants could keep their eyes open) with disease-specific questionnaire for DED. This cross-sectional study included 365 patients (252 with DED and 113 without DED) recruited between September 2017 and December 2019. Discriminant validity was assessed by comparing the non-DED and DED groups based on the MBI with a Japanese version of the Ocular Surface Disease Index (J-OSDI) and tear film breakup time (TFBUT) with J-OSDI classifications. The MBI with J-OSDI showed good discriminant validity by known-group comparisons. The positive and predictive values of MBI with J-OSDI were 96.0% (190/198 individuals) and 37.1% (62/167 individuals), respectively. The area under the receiver operating characteristic curve (AUC) of MBI with J-OSDI was 0.938 (95% confidence interval 0.904-0.971), the sensitivity was 75.4% (190/252 individuals), and the specificity was 92.9% (105/113 individuals), which are similar to the diagnostic ability of TFBUT with J-OSDI (AUC 0.954). In conclusion, MBI with J-OSDI may be a simple, non-invasive screening test for DED.
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