Heterogeneity of eye drop use among symptomatic dry eye individuals in Japan: large-scale crowdsourced research using DryEyeRhythm application

Eguchi, Atsuko; Inomata, Takenori; Nakamura, Masahiro; Nagino, Ken; Iwagami, Masao; Sung, Jaemyoung; Midorikawa‐Inomata, Akie; Okumura, Yuichi; Fujio, Kenta; Fujimoto, Keiichi; Miura, Maria; Akasaki, Yasutsugu; Shokirova, Hurramhon; Hirosawa, Kunihiko; Kuwahara, Mizu; Zhu, Jun; Dana, Reza; Murakami, Akira; Kobayashi, Hiroyuki

doi:10.1007/s10384-020-00798-1

Cited by 28 publications

(22 citation statements)

References 34 publications

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“…Increasing reports and discussion regarding P4’s validity suggest preemptive and personalized healthcare both increase treatment and cost-effectiveness 26 , which necessitates a comprehensive dataset on patients’ subjective symptoms, lifestyle factors, and their environment. mHealth enables remote, longitudinal collection of various personalized data, including biosensor data, and enables participatory medical research through facilitating user comprehension, consent, and feedback 9 , 10 , 12 , 17 , 23 , 24 , 31 . The widespread prevalence of smartphones 32 underscores mHealth’s potential to revolutionize the current facility-based healthcare by re-introducing it within free-living settings.…”

Section: Discussionmentioning

confidence: 99%

“…This inevitably excluded the younger, working-group population from participation, creating an inevitable selection bias 35 . However, a smartphone-based study enables a closer look at younger age groups 9 , 17 , 23 , 24 , 31 , which enables more robust hierarchical analyses to verify new disease subtypes. Unlike the traditional “cutoff-score” diagnoses 2 , 36 , this methodology stratifies groups of individual criteria, creating clusters of an originally singular disease to elucidate patterns of disease heterogeneity.…”

Section: Discussionmentioning

confidence: 99%

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Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study

et al. 2021

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Multidimensional integrative data analysis of digital phenotyping is crucial for elucidating the pathologies of multifactorial and heterogeneous diseases, such as the dry eye (DE). This crowdsourced cross-sectional study explored a novel smartphone-based digital phenotyping strategy to stratify and visualize the heterogenous DE symptoms into distinct subgroups. Multidimensional integrative data were collected from 3,593 participants between November 2016 and September 2019. Dimension reduction via Uniform Manifold Approximation and Projection stratified the collected data into seven clusters of symptomatic DE. Symptom profiles and risk factors in each cluster were identified by hierarchical heatmaps and multivariate logistic regressions. Stratified DE subgroups were visualized by chord diagrams, co-occurrence networks, and Circos plot analyses to improve interpretability. Maximum blink interval was reduced in clusters 1, 2, and 5 compared to non-symptomatic DE. Clusters 1 and 5 had severe DE symptoms. A data-driven multidimensional analysis with digital phenotyping may establish predictive, preventive, personalized, and participatory medicine.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study

et al. 2021

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“…There is a lack of analysis and evidence that allows practical application of the collected data into disease-preventative behavior modification and intervention. Therefore, societal efforts should promote research utilizing the collected medical big data, including our investigations on large-scale mHealth-based crowdsourced clinical research 2,3,12,14,[17][18][19] . The findings must integrate to lay the groundwork for implementation.…”

Section: Discussionmentioning

confidence: 99%

“…We released an in-house iPhone application, DryEyeRhythm, in November 2016 using the ResearchKit platform to collect real-world data and perform large-scale crowdsourced clinical research on subjective symptoms and lifestyle factors associated with DED 12,14,[17][18][19] . An English version of DryEyeRhythm was also released in November 2017 to widen the userbase.…”

Section: Mhealth-based Cross Sectional Study For Heterogeneity Of Dry Eye Diseasementioning

confidence: 99%

Cross-hierarchical Integrative Research Network for Heterogenetic Eye Disease Toward P4 Medicine: A Narrative Review

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Nakamura

et al. 2021

Juntendo Medical Journal

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Society 5.0, a visionary human-centered societal model, fuels economic development and resolves long-standing social problems. The model establishes a technological foundation and social contract to integrate cyberspace into the physical (real) space fully. The medical infrastructure outlined by the model envisions a healthcare paradigm that revolves around preventative, lifelong patient-and population-centered care that functions seamlessly within one's daily life.In satisfying this goal, cross-hierarchical integrative data-driven biological research has received attention due to medical big data and artificial intelligence (AI) technologies, capable of highly accurate and rapid data analysis. However, the collection of big data has been a bottleneck, and the capability of AI analysis is not being utilized to its full potential. In solving this obstacle, we explore mobile health (mHealth) and multi-omics as two rich sources of medical big data. Additionally, we discuss the implications of cross-hierarchical integrative analysis that encompasses all levels of cellular function, from intracellular molecular dynamics to end-phenotypes. This is to understand ocular disease pathology and implement the pillars of P4 (predictive, personalized, preventative, participatory) medicine toward human-centered healthcare.Here, we discuss notable studies in utilizing mHealth to stratify subjective symptoms, presentations of dry eye disease, and employing multi-omics machine learning targeted at elucidating immunologic mechanisms of corneal allograft rejection and ocular inflammation. We also discuss the role of cross-hierarchical integrative data-driven research in promoting futureoriented healthcare envisioned by the Society 5.0 plan.

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“…Diquafosol sodium 3% and hyaluronic acid 0.1% eyedrops are two widely used medications in patients with DED. 35 There have been previous efforts to compare the effects of these eye-drops after cataract surgery, and diquafosol sodium 3% produces significant improvement in the tear film break-up time (TFBUT) and meibomian gland function. 20 24 36 However, these studies did not target the patients with newly developed DED after cataract surgery.…”

Section: Strengths and Limitations Of This Studymentioning

confidence: 99%

Clinical efficacy of diquafosol sodium 3% versus hyaluronic acid 0.1% in patients with dry eye disease after cataract surgery: a protocol for a single-centre, randomised controlled trial

et al. 2022

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IntroductionThe number of cataract surgeries, the most common ophthalmic surgery, is expected to increase due to ageing populations. Dry eye disease (DED) is a frequent side effect of cataract surgery, contributing to lower postoperative patient satisfaction and suboptimal quality of vision. It is unclear which eye-drops commonly used in these patients should be recommended for postoperative DED treatment. This study aims to compare the efficacy of topical administration of diquafosol sodium 3% vs hyaluronic acid 0.1% eye-drops in patients with DED after cataract surgery.Methods and analysisThe study is designed as a single-blind randomised controlled trial. The participants will be randomly (1:1) allocated to either the diquafosol sodium 3% topical administration group (n=21) or the hyaluronic acid 0.1% topical administration group (n=21). Each group will receive its assigned eye-drop intervention over a 12-week period. The primary outcome will be measured using the total score of the Japanese version of the Ocular Surface Disease Index during the visit 5 weeks postoperatively. Both groups will be followed up after their respective eye-drop application for 12 weeks according to the intervention regimens. Secondary outcome measures including meibomian gland function assessment, tear film break-up time, keratoconjunctival staining score, maximum blink interval and tear secretion volume using Schirmer’s test I will be assessed at 1, 5, 9, 13 and 25 weeks postoperatively.Ethics and disseminationThis study has been approved by the Juntendo Hospital Certified Review Board, Tokyo, Japan (Approved protocol V.7.0 dated 7 May 2021. Approval number: J20-018) and has been registered with the Japan Registry of Clinical Trials. Written informed consent will be collected from every patient prior to study participation. The results of this trial will be presented at local and international meetings and submitted to peer-reviewed journals for publication.Trial registration numberjRCT1031210018.

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Heterogeneity of eye drop use among symptomatic dry eye individuals in Japan: large-scale crowdsourced research using DryEyeRhythm application

Cited by 28 publications

References 34 publications

Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study

Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study

Cross-hierarchical Integrative Research Network for Heterogenetic Eye Disease Toward P4 Medicine: A Narrative Review

Clinical efficacy of diquafosol sodium 3% versus hyaluronic acid 0.1% in patients with dry eye disease after cataract surgery: a protocol for a single-centre, randomised controlled trial

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