ArticleInternational ophthalmology2024
Evaluation of tear film function by Oculus Keratograph 5M and IDRA ocular surface analyser.
Article in International ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Molecular landscape connecting complications of dry eye disease: mechanisms, therapeutic targets, biomarkers, and future innovations.International ophthalmology · 2026Review
- Dry Eye Disease And The Jenvis Dry Eye Report Diagnosis Tool: A Literature Review with Emphasis On African Populations.Clinical optometry · 2026Review
- Clinical analysis of dry eye after refractive surgery in army recruits in 2024.Scientific reports · 2025Article
- Pharmaceutical and Therapeutic Applications of Royal Jelly for Ocular Surface Diseases: A Comprehensive Review.Journal of ophthalmic & vision research · 2025Review
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Authors and funding
6 authors.
Funding
Abstract
purposeThe aim of this study was to evaluate the function of tear film with Oculus Keratograph 5M (Oculus K5M) and IDRA ocular surface analyser (IDRA), analyse their consistency and explore the potential of IDRA in the diagnosis of dry eye disease (DED).
methodsThis cross-sectional study enrolled 36 participants (DED group, 14 eyes; non-DED group, 22 eyes). The parameters of tear film function, including the first noninvasive breakup time (fNIBUT), average NIBUT (aNIBUT), tear meniscus height (TMH), lipid layer thickness (LLT), lipid layer colour (LLC), lipid layer uniformity (LLU), morphology of meibomian glands (MGs) and MG loss, were obtained with Oculus K5M and IDRA. The consistency of parameter measurements between the two devices was evaluated.
resultsAll the parameters except LLT, which can be measured only by IDRA, were not significantly different between the two instruments in DED eyes. However, IDRA reported lower values of fNIBUT, aNIBUT and TMH as well as higher MG loss scores in non-DED eyes than Oculus K5M did (p < 0.001, < 0.001, = 0.002, and = 0.002, respectively). Further regression analysis revealed that aNIBUT and LLT measured by IDRA were the optimal parameters for diagnosing DED (OR = 0.567 and 0.845, p = 0.057 and 0.043, respectively), and their combination had the strongest diagnostic potential (AUC = 0.841, sensitivity = 85.7%, and specificity = 77.3%).
conclusionAs a user-friendly noninvasive device, the tear film function parameters measured by IDRA were highly consistent with those measured by Oculus K5M in DED patients. The combination of aNIBUT and LLT measured by IDRA had the best diagnostic accuracy for DED.
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